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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1626489</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Modeling and optimization of essential oils and extracts for meat quality evaluation during storage, with high-performance liquid chromatography analysis of aflatoxin levels</article-title>
</title-group>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Alharthi</surname> <given-names>Sarah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Sami</surname> <given-names>Rokayya</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Uguru</surname> <given-names>Hilary</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Bedaiwi</surname> <given-names>Ruqaiah I.</given-names></name>
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<name><surname>Almehmadi</surname> <given-names>Awatif M.</given-names></name>
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<name><surname>Abushal</surname> <given-names>Suzan A.</given-names></name>
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<name><surname>Kadi</surname> <given-names>Roqayah H.</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<name><surname>Aljehany</surname> <given-names>Buthaina M.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Abduljawad</surname> <given-names>Eman A.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Aljehani</surname> <given-names>Abeer A.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Aggad</surname> <given-names>Sarah S.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Alasmari</surname> <given-names>Sarah A.</given-names></name>
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<name><surname>Alkhudhayri</surname> <given-names>Dalal A.</given-names></name>
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<name><surname>Alsulaimani</surname> <given-names>Fayez</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
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<name><surname>Basri</surname> <given-names>Ahmed M.</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Chemistry, College of Science, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Research Center of Basic Sciences, Engineering and High Altitude, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Food Science and Nutrition, College of Sciences, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Agricultural Engineering, Delta State University of Science and Technology</institution>, <addr-line>Ozoro</addr-line>, <country>Nigeria</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk</institution>, <addr-line>Tabuk</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University</institution>, <addr-line>Makkah</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff7"><sup>7</sup><institution>Program of Food Sciences and Nutrition, Turabah University College, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Biological Sciences, College of Science, University of Jeddah</institution>, <addr-line>Jeddah</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University</institution>, <addr-line>Jeddah</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Public Health, College of Health Sciences, Saudi Electronic University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Home Economic, Prince Sattam Bin Abdulaziz University</institution>, <addr-line>Al-kharj</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff12"><sup>12</sup><institution>Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University</institution>, <addr-line>Jeddah</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff13"><sup>13</sup><institution>Embryonic Stem Cell Unit, King Fahd Medical Research Center, King Abdulaziz University</institution>, <addr-line>Jeddah</addr-line>, <country>Saudi Arabia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Laurent Dufoss&#x00E9;, Universit&#x00E9; de la R&#x00E9;union, France</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Nada Benajiba, Ibn Tofail University, Morocco</p>
<p>Ahmet Hulusi Din&#x00E7;o&#x011F;lu, Mehmet Akif Ersoy University, T&#x00FC;rkiye</p>
<p>Wassila Benabderrahmane, University of Skikda, Algeria</p>
</fn>
<fn fn-type="corresp" id="c001">
<p>*Correspondence: Rokayya Sami, <email xlink:href="mailto:rokayya.d@tu.edu.sa">rokayya.d@tu.edu.sa</email>; Sarah Alharthi, <email xlink:href="mailto:sarah.alharthi@tu.edu.sa">sarah.alharthi@tu.edu.sa</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="ecorrected">
<day>24</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1626489</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Alharthi, Sami, Uguru, Bedaiwi, Almehmadi, Abushal, Kadi, Aljehany, Abduljawad, Aljehani, Aggad, Alasmari, Alkhudhayri, Alsulaimani and Basri.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Alharthi, Sami, Uguru, Bedaiwi, Almehmadi, Abushal, Kadi, Aljehany, Abduljawad, Aljehani, Aggad, Alasmari, Alkhudhayri, Alsulaimani and Basri</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>This research was focused on developing a suitable and optimizing model, for dried meat preservation (storability), through the application of natural essential oils and extracts. The dried meat (beef) samples were treated with onion peels extract (OPE), onion peels oil (OPO), plantain peels extract (PPE), and plantain peels oil (PPO), in accordance with concentrations and hybridization levels, provided by Central Composite Design (CCD) model. Two basic independent variables &#x2013; treatment type and storage time &#x2013; were evaluated, to establish their impact on six responses: total bacterial viable content (TBC), <italic>Staphylococcus aureus, Salmonella</italic> spp., total viable fugal content (TFC), aflatoxin B1 and aflatoxin B2. Based on the CCD optimization guidance, the meat samples were treated with 10 different natural additives, and coded T0 to T9, respectively. Nutritional and microbial evaluations of the samples were done by utilizing standard procedures. Specifically, the High-Performance Liquid Chromatography (HPLC) approach was used to explore the B vitamins and aflatoxins concentrations. The results specified that the plantain and onion waste products safeguarded the meat nutritional integrity and public health safety. Additionally, the optimization result depicted that the hybridized PPO and OPO treatment (T9), demonstrated the optimal efficacy in inhibiting microbial growth, and formation of aflatoxins. The maximum TBC and TFC populations of 3,130 and 2,180&#x202F;cfu/g, were recorded in the control (T1) meat samples, respectively. The study found that the essential oils and extracts, effectively reduced the aflatoxins B1/B2 levels, in preserved beef to safe limits, established by the World Health Organization for meat products suitable for human consumption. This study&#x2019;s results have highlighted the effectiveness of using oils and extracts derived from discarded onion and plantain peels, in improving meat quality, integrity and inhibiting pathogens survival.</p>
</abstract>
<kwd-group>
<kwd>aflatoxins</kwd>
<kwd>food security</kwd>
<kwd>meat products</kwd>
<kwd>microbial invasion</kwd>
<kwd>public health</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="10"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="15"/>
<word-count count="10539"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Sustainable Food Processing</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>Highlights</title>
<list list-type="bullet">
<list-item><p>Essential oils and plants extract influences on meat nutritional composition</p></list-item>
<list-item><p>Essential oils and extracts play essential roles in inhibiting pathogens</p></list-item>
<list-item><p>Plants materials are eco-friendly alternatives for meat preservation</p></list-item>
<list-item><p>Employing the HPLC approach ensures accurate aflatoxins quantification</p></list-item>
</list>
</sec>
<sec sec-type="intro" id="sec2">
<title>Introduction</title>
<p>Food is a vital requirement of the human body, as inadequate nutrition can lead to malnutrition-related issues, which are among the leading causes of death worldwide (<xref ref-type="bibr" rid="ref28">Pawlak and Ko&#x0142;odziejczak, 2020</xref>). Protein and vitamins play crucial roles in maintaining health and supporting various bodily functions. Meat, as an animal-based protein unlike plant-based protein, is classified as complete protein since it naturally comprises of the nine essential amino acids in a proportions required for human health. However, by combining various plant foods, it is possible to achieve a complementary amino acid profile, which can result in the formation of a complete protein (<xref ref-type="bibr" rid="ref33">Qin et al., 2022</xref>; <xref ref-type="bibr" rid="ref37">Stadnik, 2024</xref>). Animal-based food items are prefect source of essential nutrients, some of which are challenging to obtain from plant-based sources alone. Meat and its products have been crucial in human nutrition, contributing to a balanced diet and supporting growth and performance of the body systems (<xref ref-type="bibr" rid="ref34">Ruxton and Gordon, 2024</xref>; <xref ref-type="bibr" rid="ref36">Sheffield et al., 2024</xref>). Despite its high cholesterol content, meat is one the most staple protein source in many human diets worldwide, resulting from its high concentration of essential amino acids, vital metals and vitamins (<xref ref-type="bibr" rid="ref37">Stadnik, 2024</xref>).</p>
<p>Effective food storage is one of the major objectives of achieving food security, helping to reduce food wastage, maintains economic stability, and ensures food availability (<xref ref-type="bibr" rid="ref4">Alirezalu et al., 2019</xref>; <xref ref-type="bibr" rid="ref28">Pawlak and Ko&#x0142;odziejczak, 2020</xref>; <xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>; <xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>). Food storage can be categorized into wet and dry methods, and the choice of method adopted is dependent on the type of the agricultural product, desired shelf life, and available resources (<xref ref-type="bibr" rid="ref35">Sayed and Elsharkawy, 2021</xref>). The dry storage category is the widespread storage method used globally, due to its low level of complexity, availability of the materials, energy efficiency, and lower technical know-how (<xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>; <xref ref-type="bibr" rid="ref9">Bradford et al., 2020</xref>; <xref ref-type="bibr" rid="ref21">Lisboa et al., 2024</xref>). Fungal and bacteria growth is a major concern in dried meat storage, largely because this storage environment conditions (humidity, temperature and moisture content fluctuation conditions) often favors their survival (<xref ref-type="bibr" rid="ref17">Ivane et al., 2024</xref>; <xref ref-type="bibr" rid="ref20">Kunov&#x00E1; et al., 2021</xref>; <xref ref-type="bibr" rid="ref19">Kahraman and Tutun, 2021</xref>).</p>
<p>The key consequences in dried meat during storage are, decline in sensory quality, nutritional value, and microbial invasion (<xref ref-type="bibr" rid="ref35">Sayed and Elsharkawy, 2021</xref>). <italic>Salmonella</italic> spp.<italic>, Pseudomonas, Staphylococcus</italic> spp.<italic>, E. coli, Aspergillus, Penicillium,</italic> and <italic>Fusarium</italic> have adverse effect on animal products quality, and posing significant public health issues (<xref ref-type="bibr" rid="ref20">Kunov&#x00E1; et al., 2021</xref>; <xref ref-type="bibr" rid="ref001">Paswan and Park, 2020</xref>). Aflatoxins produced by some fungi (<italic>Aspergillus flavus</italic> and <italic>Aspergillus parasiticus</italic>) are potent toxic compounds known for their carcinogenic and mutagenic effects; which are directly linked to severe health issues - organ (liver and kidney) failure, endocrine disruption and respiratory issues (<xref ref-type="bibr" rid="ref15">Gruber-Dorninger et al., 2019</xref>; <xref ref-type="bibr" rid="ref11">Ekwomadu et al., 2022</xref>; <xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>; <xref ref-type="bibr" rid="ref19">Kahraman and Tutun, 2021</xref>).</p>
<p>Animal products are often treated with various natural additives (agro-based materials) during processing and storage operations, to improve their dietary integrity, shelf life, and consumer prevalence (<xref ref-type="bibr" rid="ref42">Umaru et al., 2019</xref>; <xref ref-type="bibr" rid="ref8">Beya et al., 2021</xref>; <xref ref-type="bibr" rid="ref10">Djenane et al., 2024</xref>). Plant extracts and oils are rich in bioactive compounds, with antioxidants and antimicrobial properties (<xref ref-type="bibr" rid="ref14">G&#x00E1;l et al., 2023</xref>; <xref ref-type="bibr" rid="ref12">Enciso-Mart&#x00ED;nez et al., 2024</xref>), leasing to improve food functional/nutritional properties (<xref ref-type="bibr" rid="ref20">Kunov&#x00E1; et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). Although natural extracts and oils offer many benefits in food preservation, their excessive applications can result in the emergence of resistant strains of microorganisms, thereby complicating food quality and safety (<xref ref-type="bibr" rid="ref45">Zhou et al., 2023</xref>; <xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>). Most meat processing industry uses synthetic preservatives; however, these inorganic chemicals toxicity (health challenges) includes - allergies, carcinogenic issues, and organs damage (<xref ref-type="bibr" rid="ref14">G&#x00E1;l et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). This has spurred interest in the development of natural and environmental friendly alternatives, which include plant essential oils (EOs) and extracts having minimal health issues (<xref ref-type="bibr" rid="ref43">Unar, 2022</xref>; <xref ref-type="bibr" rid="ref17">Ivane et al., 2024</xref>). Additionally, the hybridization of EOs and extracts leverages antimicrobial and antioxidant properties of the treatments, which can combat spoilage-causing bacteria and delay oxidation (<xref ref-type="bibr" rid="ref3">Al-Hijazeen, 2022</xref>).</p>
<p>Though numerous researches have been done on the use of organic preservatives in food preservation, most of them utilized plants edible parts as bio-preservatives (<xref ref-type="bibr" rid="ref39">Turgut et al., 2017</xref>; <xref ref-type="bibr" rid="ref27">Pateiro et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>), inadvertently, contributing to food insecurity. Additionally, prior research primarily focused on the impact of green additives (bio-preservatives) on pathogenic infestation of preserved foods, and very little attention paid to the dietetic quality and human safety (<xref ref-type="bibr" rid="ref31">Prakash et al., 2015</xref>; <xref ref-type="bibr" rid="ref44">Yuan and Yuk, 2018</xref>; <xref ref-type="bibr" rid="ref20">Kunov&#x00E1; et al., 2021</xref>; <xref ref-type="bibr" rid="ref13">Fu et al., 2022</xref>). This study tends to bridge these gaps by using agricultural waste materials (plantain finger peels and onion bulb wastes) as organic preservatives - essential oils (EOs) and extracts &#x2013; for meat quality and integrity preservation, through mathematical modeling and optimization. Apart from microbial in inhibition and nutrients stabilization, this research appraised the aflatoxins toxicity status of the preserved meat. Specifically, this research uses a novel combination of High-Performance Liquid Chromatography (HPLC) for the aflatoxins evaluation, and predictive modeling techniques (Centre Composite Design &#x201C;CCD&#x201D; and Prediction Interval &#x201C;PI&#x201D; analysis), to create mathematical models capable of predicting meat quality alterations during storage; as well as, the optimal levels (concentrations) of these bio-preservatives, needed for maximize microbial defense and food safety. Eventually, this study&#x2019;s outcomes will bridge essential knowledge gaps, connecting meat quality, food safety and computational optimization. This contributes to defensible and innovative methods in food preservation, which is in conformity with global sustainability trends like UN SDGs, European Union and Green Deal.</p>
</sec>
<sec sec-type="materials|methods" id="sec3">
<title>Materials and methods</title>
<sec id="sec4">
<title>Meat sampling</title>
<p>Ten kilogram of high-quality beef was collected from a local abattoir in Delta State, Nigeria on August 18th, 2023. The samples were placed in sterilized, ice-cooled plastic containers, and promptly transported to the microbiology laboratory for analysis at Delta State University of Science and Technology, Ozoro, Nigeria, and Docchy analytical laboratories and environmental services limited, Nigeria.</p>
</sec>
<sec id="sec5">
<title>Quality control</title>
<p>The HPLC system, Plate Count Agar (PCA), Salmonella-Shigella (SS) agar, Baird-Parker Agar (BPA), Potato Dextrose Agar (PAD), methanol, helium (99% purity) and other solvents used for the analyses were manufactured by Thermo Fisher Scientific Inc. USA. All the materials and equipment used were sterilized to prevent cross-contamination. All measurements were conducted in triplicate, and the relative standard deviation was less than 4% across the measurements.</p>
</sec>
<sec id="sec6">
<title>Extract and essential oil (EO) samples preparation</title>
<p>The onion bulb peels and plantain peels were sorted to eliminate contaminants, sun-dried and then ground into powder form using the laboratory mill (Ultra Centrifugal Mill ZM 300, produced by Retsch GmbH Ltd. Germany). Thereafter, the onion bulbs peels extract (OPE) and plantain peels extract (PPE) were prepared in accordance with standard procedures, through cold maceration approach using ethanol as the carrier solvent. 100&#x202F;g of the pulverized onions and plantain peels wastes were soaked in 1&#x202F;L of ethanol for four days, and filtered using a 0.22&#x202F;&#x03BC;m membrane. Thereafter, the filtrate was evaporated (concentrated) utilizing a rotary evaporator (model Rotavapor R-300, manufactured by Thermo Fisher Scientific Inc. America) at 45&#x00B0;C, to evaporate the excess methanol leaving the onion bulbs peels extract (OPE) and plantain peels extract (PPE) behind.</p>
<p>Additionally, the onion bulbs peels oil (OPO) and plantain peels oil (PPO), were extracted through the solvent extraction technique, and using n-hexane as the solvent. 200&#x202F;g of the sieved plants materials were poured into a Soxhlet extractor, containing 600&#x202F;mL of n-hexane. The mixture was subjected to temperature of 67&#x00B0;C for 6&#x202F;h, ensuring constant n-hexane cycling, and the high quality oil obtained was collected into a cylinder (<xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>). Thereafter, the excess solvent in the EO was evaporated at 40&#x00B0;C, and dried with anhydrous sodium sulfate, and kept in cool dark environment.</p>
</sec>
<sec id="sec7">
<title>Experiment design</title>
<p>The following treatment plans as presented in <xref ref-type="table" rid="tab1">Table 1</xref>, was used to achieve the goals of this research. The experimental design was generated by Design Expert Software (Version 23.1), through CCD and considering these factors: storage duration, treatment concentration, treatment hybridization, and their interactions. Additionally, the PI analysis was employed to confirm (validate) the experiment results.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The study&#x2019;s experimental design.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sampled code</th>
<th align="center" valign="top">Constituents</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">100% Distilled water</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">2% PPE</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">1% PPO</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">2% OPE</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">1% OPO</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">2% PPE&#x202F;+&#x202F;1% PPO</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">2% OPE&#x202F;+&#x202F;1% OPO</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">1%PPE&#x202F;+&#x202F;1% OPE</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">2% PPE&#x202F;+&#x202F;0.5% OPO</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.5%OPO&#x202F;+&#x202F;0.5% PPO</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Particularly, the concentrations of the essential oils and extracts used were in taken in percentage weight per weight (%w/w).</p>
</table-wrap-foot>
</table-wrap>
<p>The optimization will involve all the treatments of T0&#x2013;T9, and storage durations of 0&#x2013;10&#x202F;weeks. The extract and oil concentrations used as treatments in this research, were selected based on the range of concentrations previously applied by other authors (<xref ref-type="bibr" rid="ref20">Kunov&#x00E1; et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). This approach controls existing research to optimize their effectiveness and public safety in the stored beef quality control.</p>
</sec>
<sec id="sec8">
<title>Meat samples preparation</title>
<p>Approximately 30&#x202F;g of each meat sample was diced into 0.05&#x202F;m x 0.05&#x202F;m pieces. The cook-dried method was adopted for Treatments 1, 3, 5, 6, 7, and 8. For treatments involving plant extract application (Treatments 1 and 3), the meat was diced into 0.05&#x202F;m&#x202F;&#x00D7;&#x202F;0.05&#x202F;m pieces, steamed with the appropriate extract concentration for 20&#x202F;min, and then immediately cooled to room temperature. Also, for the treatments involving hybridized EO and extract application (Treatments 5, 6, 7, and 8), the meat pieces, already prepared and inoculated with the extract, were then sprayed with the appropriate volume of oil. The data indicated that, for treatments involving only oil application (Treatments 2, 4, and 9), the oil-dried method was utilized: the meat cubes were blanched for 20&#x202F;min, cooled and coated with the essential oils. Afterward, all the prepared meat samples were dried in a laboratory oven at 105&#x00B0;C to a moisture content of approximately 7%.</p>
</sec>
<sec id="sec9">
<title>Storage condition</title>
<p>The dried meat samples were stored in a dry ambient environment (30&#x202F;&#x00B1;&#x202F;5&#x00B0;C, 80&#x202F;&#x00B1;&#x202F;11% RH), covered with netting to protect them from direct insect and pest exposure. This is similar to traditional storage practices commonly used in markets and households across many developing and underdeveloped nations. The nutritional quality of the meat and microbial analyses were conducted every 2&#x202F;weeks over a 10-week period.</p>
</sec>
<sec id="sec10">
<title>Proximate analyses</title>
<sec id="sec11">
<title>Essential oils and extracts phytochemicals composition</title>
<p>The composition of phytochemicals in the onion peels and plantain peels extracts and oils were analyzed using gas chromatography with flame ionization detection (GC-FID), manufactured by Chromatography Direct Ltd., United Kingdom. Firstly, the samples (extracts and oils) were prepared by mixing the oil/extract with n-hexane at a ratio of 1:10, trembled vigorously for 5&#x202F;min and sieved through a 0.45&#x202F;&#x03BC;m syringe filter. One &#x03BC;L of the prepared sample was injected into the system, which uses HP5 capillary column (30&#x202F;m&#x202F;&#x00D7;&#x202F;0.25&#x202F;mm&#x202F;&#x00D7;&#x202F;0.25&#x202F;&#x03BC;m), and helium as the carrier medium with a flow rate of 1.0&#x202F;mL/min. The injector temperature and detector temperature were 250&#x00B0;C and 280&#x00B0;C, respectively. The initial system&#x2019;s oven temperature was pre-set at 60&#x00B0;C for 2&#x202F;min, before it was ramp at 10&#x00B0;C/min, and then a final temperature of 280&#x00B0;C. Additionally, the operational run time was 25&#x202F;min, and standards were employed quantification and documentation of the phytochemicals.</p>
</sec>
<sec id="sec12">
<title>Moisture content</title>
<p>The moisture content (MC) of the meat samples was determined using the gravimetric method, following the Association of Official Analytical Chemists (AOAC) guidelines.</p>
</sec>
<sec id="sec13">
<title>Vitamins determination</title>
<p>The vitamin B profile and vitamin E level of the dried meat samples was measure through the HPLC method. To measure the vitamin E level in the samples, 2&#x202F;g of the ground specimen was mixed with 202&#x202F;mL of methanol, and strained using a 0.45&#x202F;&#x03BC;m strainer. Basically, these factors/parameters were used to determine the vitamin E level of each specimen &#x2013; injector volume of 20&#x202F;&#x03BC;L, methanol mobile phase, C18 reversed-phase column, 25&#x00B0;C column temperature, flow speed of 0.06&#x202F;L/h, UV detection of 295&#x202F;nm, run duration of 15&#x202F;min, retention time of 10&#x202F;min, and recovery rate of 105%.</p>
<p>Likewise, to measure the B vitamins content of each sample, these were the preliminary preparations: 3&#x202F;g of the meat the ground meat was normalized with acidified distill water, centrifuge at the speed of 10,000 rpm, sieved with a 0.45&#x202F;&#x03BC;m filter. These were the major HPLC factors/parameters considered for the B vitamins evaluation: 20&#x202F;&#x03BC;L injector volume, methanol carrier, &#x2264;30&#x202F;min run time (depending on the B vitamin to be measured), of 0.06&#x202F;L/h flow rate, C18 column, 30&#x00B0;C column temperature. Specifically, the UV detection wavelengths for Vitamins B1, B2, B6, B9 and B12 were 246, 270, 290, 290 and 361&#x202F;nm, respectively; while the retention time for Vitamins B1, B2, B6, B9 and B12 were 7, 10, 12, 15, 17, and 24, respectively, (<xref ref-type="bibr" rid="ref1">Albawarshi et al., 2022</xref>).</p>
</sec>
<sec id="sec14">
<title>Protein determination</title>
<p>The Kjeldahl method was employed to assess the protein content in the meat samples. A 10&#x202F;g portion of the meat was digested with sulfuric acid (H&#x2082;SO&#x2084;) at 90&#x00B0;C, utilizing copper as a catalyst. Following the digestion process, the resulting acidified solution was neutralized with sodium hydroxide (NaOH) to release ammonia gas, which was captured as ammonium. This ammonium solution was subsequently titrated with hydrochloric acid to measure the nitrogen content in the meat.</p>
</sec>
</sec>
<sec id="sec15">
<title>Microbial analyses</title>
<sec id="sec16">
<title>Preparation of sample</title>
<p>Twenty grams of each sample was blended in a laboratory mill, with the addition of 0.180&#x202F;L of sterile saline solution, to produce a suspension having a 1:10 dilution factor. This dilution helps to homogenize the sample concentration, thereby enhancing the accuracy of microbial counts evaluation.</p>
</sec>
<sec id="sec17">
<title>Bacterial count</title>
<p>One milliliter (1&#x202F;mL) of the dilution was evenly spread onto sterile PCA, utilizing a disinfected glass spreader, incubated at 37&#x00B0;C for 48&#x202F;h, and the bacterial clusters formed were counted. The total viable bacterial load (TBC) produced expressed as colony forming units per gram (cfu/g) (<xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>).</p>
</sec>
<sec id="sec18">
<title><italic>Staphylococcus aureus</italic> determination</title>
<p>One (1) mL of the meat dilution, was spread across a BPA plate, and placed on incubation operation for 48&#x202F;h at 37&#x00B0;C. <italic>Staphylococcus aureus</italic> colonies were identified through their black or dark gray coloration.</p>
</sec>
<sec id="sec19">
<title><italic>Salmonella</italic> spp. determination</title>
<p>The homogenized meat dilution (1&#x202F;mL) was incubated (37&#x00B0;C for 24&#x202F;h), before it was transferred to the Rappaport-Vassiliadis (RV) broth, and further incubated at 40&#x00B0;C for 24&#x202F;h. This enriched sample was plated onto a SS agar plate, incubated at 37&#x00B0;C for 24&#x202F;h, and the <italic>Salmonella</italic> spp. produced were identified and counted (<xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>).</p>
</sec>
<sec id="sec20">
<title>Fungal count</title>
<p>One mL of the diluted solution was uniformly spread across a sterile Potato Dextrose Agar (PDA) plate, and incubated at 25&#x00B0;C for 3&#x202F;days. After incubation, the colony produced were counted and expressed as cfu/g.</p>
</sec>
<sec id="sec21">
<title>Aflatoxins determination</title>
<p>The HPLC technique was used to determine aflatoxins (afB1 and afB2) count of the dried meat. Thirty gram of the meat sample was ground and mixed with 303&#x202F;mL of methanol - Methanol: water (80:20), and filtered with a Whatman No. 1 filter paper. 20&#x202F;&#x03BC;L of the liquid (extract) specimen was introduced into the HPLC system, with a mobile phase that consist a mixture of water, methanol and acetonitrile, mixed at a ratio of 60:20:20. The system was operating at a flow speed of 1&#x202F;mL/min, column temperature of 30&#x00B0;C, UV- diode array detector (DAD) detector, and typical emission wavelength of 460&#x202F;nm. The retention period of AFB&#x2081; and AFB&#x2082; were 12 and 9&#x202F;min, respectively. The retention times and peak areas were associated with individual aflatoxins, and the concentration of each aflatoxin was assessed by comparing the results to established aflatoxins standards (<xref ref-type="bibr" rid="ref2">Algammal et al., 2021</xref>). The assay was conducted in triplicate, with recovery rates for aflatoxins B1 and B2 at 93 and 94%, respectively.</p>
</sec>
</sec>
<sec id="sec22">
<title>Statistical analysis</title>
<p>The laboratory data evaluated using Analysis of Variance (ANOVA), by utilizing the SPSS software (version 20.0) to establish the impact of the treatments on the meat quality and stability. Also the differences between the means were investigated using the Duncan&#x2019;s Multiple Range Test (DMRT), at 5% significance level (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.5). Furthermore, descriptive statistic was conducted on the data and the findings presented in tables, to provide a clear and organized summary of the results. The experiments were conducted in triplicate to ensure consistency.</p>
</sec>
</sec>
<sec sec-type="results" id="sec23">
<title>Results and discussion</title>
<sec id="sec24">
<title>Phytochemical properties of the bio-agents</title>
<p>The results of the oils and extracts phytochemical properties were presented in <xref ref-type="table" rid="tab2">Table 2</xref>. The results indicated that in the OPE and OPO samples, the most prevalent phytochemicals were Naringenin, Quercetin, Artemetin, Baicalin, and Naringin. In contrast, the PPE and PPO samples contained Epicatechin, Naringenin, Robinetin, Ellagic acid, Baicalin, Lunamarin, and Tangeretin as their primary phytochemicals. The results illustrated that out of the parameters measured, the plants extracts generally had higher concentration of phytochemicals than the plants oils, which is in conformity with earlier reports on bioactive compounds availability in plants derivatives (<xref ref-type="bibr" rid="ref42">Umaru et al., 2019</xref>). The high phytochemical concentrations in the extracts and oils contribute to their effectiveness in inhibiting microbial growth. This makes the OPE, PPE, OPO and PPO viable options for extending the shelf life of dried meat products. Apigenin, Ellagic acid, Naringenin, Cinnamic acid, and Resveratrol demonstrate antimicrobial properties against a wide range of bacteria and fungi, including <italic>Staphylococcus aureus, Escherichia coli, Candida albicans, Salmonella</italic> spp., and several yeast species (<xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>; <xref ref-type="bibr" rid="ref23">Mandal and Domb, 2024</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The phytochemicals properties of the plants extracts and oils (mg/kg).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameter</th>
<th align="center" valign="top">OPE</th>
<th align="center" valign="top">PPE</th>
<th align="center" valign="top">OPO</th>
<th align="center" valign="top">PPO</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Catechin</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">0.929</td>
<td align="center" valign="top">1.532</td>
</tr>
<tr>
<td align="left" valign="top">Apigenin</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">45.066</td>
<td align="center" valign="top">33.171</td>
</tr>
<tr>
<td align="left" valign="top">Resveratrol</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">2.831</td>
<td align="center" valign="top">2.103</td>
</tr>
<tr>
<td align="left" valign="top">Genistein</td>
<td align="center" valign="top">4.432</td>
<td align="center" valign="top">2.773</td>
<td align="center" valign="top">2.129</td>
<td align="center" valign="top">1.163</td>
</tr>
<tr>
<td align="left" valign="top">Daidzin</td>
<td align="center" valign="top">0.622</td>
<td align="center" valign="top">0.315</td>
<td align="center" valign="top">0.405</td>
<td align="center" valign="top">0.318</td>
</tr>
<tr>
<td align="left" valign="top">Vinnillic acid</td>
<td align="center" valign="top">0.236</td>
<td align="center" valign="top">0.538</td>
<td align="center" valign="top">0.150</td>
<td align="center" valign="top">0.327</td>
</tr>
<tr>
<td align="left" valign="top">Butein</td>
<td align="center" valign="top">0.207</td>
<td align="center" valign="top">1.526</td>
<td align="center" valign="top">0.291</td>
<td align="center" valign="top">1.096</td>
</tr>
<tr>
<td align="left" valign="top">Naringenin</td>
<td align="center" valign="top">14.642</td>
<td align="center" valign="top">9.833</td>
<td align="center" valign="top">0.425</td>
<td align="center" valign="top">0.393</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top">4.958</td>
<td align="center" valign="top">2.814</td>
<td align="center" valign="top">0.289</td>
<td align="center" valign="top">0.187</td>
</tr>
<tr>
<td align="left" valign="top">Kaempferol</td>
<td align="center" valign="top">1.083</td>
<td align="center" valign="top">0.682</td>
<td align="center" valign="top">0.312</td>
<td align="center" valign="top">0.395</td>
</tr>
<tr>
<td align="left" valign="top">Epicatechin</td>
<td align="center" valign="top">0.255</td>
<td align="center" valign="top">8.364</td>
<td align="center" valign="top">1.882</td>
<td align="center" valign="top">2.407</td>
</tr>
<tr>
<td align="left" valign="top">Epigallocatechin</td>
<td align="center" valign="top">3.081</td>
<td align="center" valign="top">2.950</td>
<td align="center" valign="top">0.147</td>
<td align="center" valign="top">0.125</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top">11.665</td>
<td align="center" valign="top">6.931</td>
<td align="center" valign="top">4.266</td>
<td align="center" valign="top">4.104</td>
</tr>
<tr>
<td align="left" valign="top">Gallocatechin 3</td>
<td align="center" valign="top">1.457</td>
<td align="center" valign="top">3.558</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Robinetin</td>
<td align="center" valign="top">24.901</td>
<td align="center" valign="top">17.523</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Myricetin</td>
<td align="center" valign="top">2.200</td>
<td align="center" valign="top">1.063</td>
<td align="center" valign="top">19.250</td>
<td align="center" valign="top">15.091</td>
</tr>
<tr>
<td align="left" valign="top">Nobiletin</td>
<td align="center" valign="top">7.288</td>
<td align="center" valign="top">10.942</td>
<td align="center" valign="top">1.683</td>
<td align="center" valign="top">3.921</td>
</tr>
<tr>
<td align="left" valign="top">Artemetin</td>
<td align="center" valign="top">117.361</td>
<td align="center" valign="top">81.915</td>
<td align="center" valign="top">24.918</td>
<td align="center" valign="top">20.115</td>
</tr>
<tr>
<td align="left" valign="top">Ellagic acid</td>
<td align="center" valign="top">17.620</td>
<td align="center" valign="top">30.607</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Tangeretin</td>
<td align="center" valign="top">3.306</td>
<td align="center" valign="top">18.795</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Baicalin</td>
<td align="center" valign="top">43.195</td>
<td align="center" valign="top">76.082</td>
<td align="center" valign="top">0.577</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Naringin</td>
<td align="center" valign="top">28.154</td>
<td align="center" valign="top">22.073</td>
<td align="center" valign="top">1.682</td>
<td align="center" valign="top">0.973</td>
</tr>
<tr>
<td align="left" valign="top">Lunamarin</td>
<td align="center" valign="top">5.178</td>
<td align="center" valign="top">11.326</td>
<td align="center" valign="top">0.425</td>
<td align="center" valign="top">2.505</td>
</tr>
<tr>
<td align="left" valign="top">Cinnamic acid</td>
<td align="center" valign="top">5.307</td>
<td align="center" valign="top">3.116</td>
<td align="center" valign="top">0.605</td>
<td align="center" valign="top">0.394</td>
</tr>
<tr>
<td align="left" valign="top">Coumaric acid</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">0.408</td>
<td align="center" valign="top">1.306</td>
</tr>
<tr>
<td align="left" valign="top">Ferrulic acid</td>
<td align="center" valign="top">0.284</td>
<td align="center" valign="top">0.853</td>
<td align="center" valign="top">0.341</td>
<td align="center" valign="top">2.013</td>
</tr>
<tr>
<td align="left" valign="top">Flavone</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">6.815</td>
<td align="center" valign="top">4.225</td>
</tr>
<tr>
<td align="left" valign="top">Flavon-3-ol</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">0.429</td>
<td align="center" valign="top">1.851</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NR, not read.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec25">
<title>Nutritional quality of the raw meat</title>
<p>The results of the vitamins and protein levels of the beef before its preservation are presented in <xref ref-type="table" rid="tab3">Table 3</xref>. It was noted that the Vitamin B1, B2, B3, B5 B9, and B12 of the raw beef was 0.051, 0.018, 0.015, 0.019, 0.052 and 0.029&#x202F;mg/kg, respectively, while the total vitamin E and protein contents were 1.87&#x202F;mg/kg and 52.73%, respectively. This is an indication that the raw meat flesh was rich in vitamins B and E; making beef a beneficial component of balanced diet. Vitamins and protein play crucial roles in energy production, nervous system functionality, and fetus development (<xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The raw meat quality.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="top" colspan="2">Parameter</th>
<th align="center" valign="top">Concentration</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="6">Vitamin B (mg/kg)</td>
<td align="center" valign="top">B1</td>
<td align="center" valign="top">0.051&#x202F;&#x00B1;&#x202F;0.006</td>
</tr>
<tr>
<td align="center" valign="top">B2</td>
<td align="center" valign="top">0.018&#x202F;&#x00B1;&#x202F;0.005</td>
</tr>
<tr>
<td align="center" valign="top">B3</td>
<td align="center" valign="top">0.015&#x202F;&#x00B1;&#x202F;0.001</td>
</tr>
<tr>
<td align="center" valign="top">B6</td>
<td align="center" valign="top">0.019&#x202F;&#x00B1;&#x202F;0.003</td>
</tr>
<tr>
<td align="center" valign="top">B9</td>
<td align="center" valign="top">0.052&#x202F;&#x00B1;&#x202F;0.006</td>
</tr>
<tr>
<td align="center" valign="top">B12</td>
<td align="center" valign="top">0.029&#x202F;&#x00B1;&#x202F;0.005</td>
</tr>
<tr>
<td align="center" valign="top" colspan="2">Vitamin E (mg/kg)</td>
<td align="center" valign="top">1.87&#x202F;&#x00B1;&#x202F;0.21</td>
</tr>
<tr>
<td align="center" valign="top" colspan="2">Protein (%)</td>
<td align="center" valign="top">52.73&#x202F;&#x00B1;&#x202F;0.97</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean&#x202F;&#x00B1;&#x202F;standard deviation (<italic>n</italic>&#x202F;=&#x202F;3).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec26">
<title>Meat quality after storage</title>
<sec id="sec27">
<title>Nutritional value</title>
<p>The results of the meat nutritional quality before and after the storage period are presented in <xref ref-type="table" rid="tab4">Table 4</xref>. Following the processing of the meat samples, the levels of vitamin B, vitamin E, protein, and moisture content were observed to range from 0.177 to 0.336&#x202F;mg/kg, 1.81 to 2.15&#x202F;mg/kg, 47.16 to 47.26%, and 6.61 to 7.26%, respectively. It was observed that both the extract and oil treatments had an insignificant impact on the protein content of the meat after treatment. In contrast, the plant extracts and oils enhanced the vitamin B complex and Vitamin E levels in the beef. This could be attributed to the rich antioxidant properties and vitamins levels of onions peels and plantain peels extracts and oils. Antioxidants and other essential compounds present in essential oils and plant extracts, tend to enhance the total vitamins concentration in the meat product during processing, and inhibit nutrients degradation during storage (<xref ref-type="bibr" rid="ref26">Pateiro et al., 2018</xref>). These results are comparable to the findings reported by <xref ref-type="bibr" rid="ref6">Baker (2023)</xref>, for various meat samples treated with different natural additives.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Proximate compositions of the dried meat before and after storage.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Treat</th>
<th align="center" valign="top" colspan="2">Total B Vitamins (mg/kg)</th>
<th align="center" valign="top" colspan="2">Vitamin E (mg/kg)</th>
<th align="center" valign="top" colspan="2">Protein (%)</th>
<th align="center" valign="top" colspan="2">Moisture content (%)</th>
</tr>
<tr>
<th align="center" valign="top">Week 0</th>
<th align="center" valign="top">Week 10</th>
<th align="center" valign="top">Week 0</th>
<th align="center" valign="top">Week 10</th>
<th align="center" valign="top">Week 0</th>
<th align="center" valign="top">Week 10</th>
<th align="center" valign="top">Week 0</th>
<th align="center" valign="top">Week 10</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Cont.</td>
<td align="center" valign="top">0.177<sup>a</sup> &#x00B1;&#x202F;0.009</td>
<td align="center" valign="top">0.129<sup>a</sup> &#x00B1;&#x202F;0.002</td>
<td align="center" valign="top">1.81<sup>a</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">1.61<sup>a</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">47.16<sup>a</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">40.12<sup>a</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">6.61<sup>h</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">42.98<sup>h</sup> &#x00B1;&#x202F;0.15</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.320<sup>f</sup> &#x00B1;&#x202F;0.002</td>
<td align="center" valign="top">0.291<sup>f</sup> &#x00B1;&#x202F;0.009</td>
<td align="center" valign="top">2.07<sup>e</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">1.95<sup>e</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">47.33<sup>f</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">42.84<sup>f</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">6.65<sup>d</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">20.78<sup>d</sup> &#x00B1;&#x202F;0.22</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.241<sup>b</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">0.200<sup>b</sup> &#x00B1;&#x202F;0.006</td>
<td align="center" valign="top">1.99<sup>bc</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">1.81<sup>bc</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">47.16<sup>c</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">42.25<sup>c</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">7.05<sup>cd</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">20.11<sup>cd</sup> &#x00B1;&#x202F;0.12</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.288<sup>e</sup> &#x00B1;&#x202F;0.008</td>
<td align="center" valign="top">0.259<sup>e</sup> &#x00B1;&#x202F;0.008</td>
<td align="center" valign="top">2.03<sup>cde</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">1.89<sup>cde</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">47.23<sup>f</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">43.03<sup>f</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">6.81<sup>f</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">22.28<sup>f</sup> &#x00B1;&#x202F;0.16</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.256<sup>c</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">0.219<sup>c</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">1.94<sup>b</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">1.76<sup>c</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">47.15<sup>e</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">42.09<sup>e</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">7.12<sup>c</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">19.83<sup>c</sup> &#x00B1;&#x202F;0.09</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.286<sup>e</sup> &#x00B1;&#x202F;0.002</td>
<td align="center" valign="top">0.265<sup>e</sup> &#x00B1;&#x202F;0.006</td>
<td align="center" valign="top">2.03<sup>cd</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">1.85<sup>cd</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">47.25<sup>d</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">42.42<sup>d</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">6.77<sup>e</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">21.77<sup>e</sup> &#x00B1;&#x202F;0.23</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.269<sup>d</sup> &#x00B1;&#x202F;0.002</td>
<td align="center" valign="top">0.246<sup>d</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">1.96<sup>b</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">1.78<sup>b</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">47.21<sup>b</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">41.98<sup>b</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">6.78<sup>e</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">21.75<sup>e</sup> &#x00B1;&#x202F;0.09</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.336<sup>g</sup> &#x00B1;&#x202F;0.005</td>
<td align="center" valign="top">0.314<sup>g</sup> &#x00B1;&#x202F;0.003</td>
<td align="center" valign="top">2.15<sup>f</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">2.05<sup>f</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">47.26<sup>g</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">44.84<sup>g</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">7.10<sup>g</sup> &#x00B1;&#x202F;0.46</td>
<td align="center" valign="top">22.61<sup>g</sup> &#x00B1;&#x202F;0.33</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.262<sup>c</sup> &#x00B1;&#x202F;0.002</td>
<td align="center" valign="top">0.231<sup>c</sup> &#x00B1;&#x202F;0.003</td>
<td align="center" valign="top">2.07<sup>de</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">1.92<sup>de</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">47.16<sup>f</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">43.05<sup>f</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">6.62<sup>b</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">19.90<sup>b</sup> &#x00B1;&#x202F;0.22</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.255<sup>c</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">0.216<sup>c</sup> &#x00B1;&#x202F;0.004</td>
<td align="center" valign="top">2.02<sup>cd</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">1.86<sup>cd</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">47.21<sup>f</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">43.00<sup>f</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">7.26<sup>a</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">16.97<sup>a</sup> &#x00B1;&#x202F;0.23</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean&#x202F;&#x00B1;&#x202F;standard deviation (<italic>n</italic>&#x202F;=&#x202F;3); treat&#x202F;=&#x202F;treatment; Cont. = control; column with the same small alphabet for the sample nutriment represent significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
<p>Furthermore, at the end of the 10-week experimental period, each treatment had a distinct and significant impact on the proximate composition of the meat. The levels of vitamins Band E, protein, and moisture content of the preserved meat varied from 0.129 to 0.314&#x202F;mg/kg, 1.61 to 2.05&#x202F;mg/kg, 40.12 to 47.26%, 16.97 to 42.98%, respectively. The research data revealed that the control and T1&#x2013;T9 meat samples showed total vitamin B reductions of 27.07, 8.86, 17.01, 10.19, 14.34, 7.23, 8.66, 6.64, 11.83, and 15.29%, respectively. Furthermore, the control and T1&#x2013;T9 meat samples recorded vitamin E depreciation level 11.05, 5.80, 9.05, 6.90, 9.28, 8.87, 9.18, 4.65, 7.25 and 7.92%, respectively. Meanwhile, the protein content of the meat showed depreciation rates of 14.93, 9.49, 10.41, 8.89, 10.73, 10.22, 11.08, 5.12, 8.72, and 8.92% in the control and T1&#x2013;T9 samples, respectively. Additionally, it was observed that the moisture level in the control sample was the highest at 84.62%. In contrast, the oil-based treatment samples T2, T4, and T9 exhibited the lowest moisture contents, measuring 63.94, 64.09, and 57.21%, respectively. Meanwhile, the extract-based treatment samples T1, T3, and T7 had average moisture contents of 87.99, 69.43, and 68.59%, respectively.</p>
<p>Notably, the control sample showed the greatest decline in vitamins and protein levels during storage; whereas, the sample treated with hybridized extracts (T7) experienced the least depreciation in B vitamins (6.64% depreciation rate) and protein content (5.11%). Similar to <xref ref-type="bibr" rid="ref39">Turgut et al. (2017)</xref> observation, where pomegranate (<italic>Punica granatum</italic>) peels extract hinders beef protein oxidation storage. These findings present perfect insight into plant extracts and EOs antioxidants attributes, in effectively retarding vitamins and proteins degradation during storage (<xref ref-type="bibr" rid="ref13">Fu et al., 2022</xref>; <xref ref-type="bibr" rid="ref29">Petcu et al., 2023</xref>). The higher B vitamins degradation rate, compared to vitamin E in the preserved meat samples, can be associated with the distinct chemical properties of these two vitamins. B vitamins been water-soluble are more vulnerable to degradation when exposed to heat and light (<xref ref-type="bibr" rid="ref16">Hrub&#x0161;a et al., 2022</xref>); whereas, Vitamin E which is a fat-soluble vitamin had elevated stability under high temperatures and UV light (<xref ref-type="bibr" rid="ref25">Napolitano et al., 2019</xref>).</p>
<p>Additionally, it was observed that the moisture level in the control sample was the highest at 84.62%. In contrast, the oil-based treatment samples - T2, T4, and T9 exhibited the lowest moisture contents, measuring 63.94, 64.09, and 57.21%, respectively. Meanwhile, the extract-based treatment samples - T1, T3, and T7 had average moisture contents of 87.99, 69.43, and 68.59%, respectively. These findings highlight the effectiveness of the oil, in reducing moisture absorption by the meat compared to the extracts. Oils act as impermeable barrier, which slow down water migration, microbial growth and food decay (<xref ref-type="bibr" rid="ref42">Umaru et al., 2019</xref>). The reduced moisture content, especially in T9 (57.21%), points to improved storage stability, as lower moisture typically correlates with a lower risk of microbial contamination and oxidation (<xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>). By retarding nutrient breakdown, these preservatives have helped to extend the shelf life of the treated meat samples.</p>
</sec>
</sec>
<sec id="sec28">
<title>Microbial population evaluation</title>
<p>The microbiology results for the meat samples are presented in <xref ref-type="table" rid="tab5">Tables 5</xref>, <xref ref-type="table" rid="tab6">6</xref>. The results highlight that both the storage duration and treatment plan, have significant effect on dried meat samples microbial growth (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). These findings confirmed earlier reports of these scholars (<xref ref-type="bibr" rid="ref14">G&#x00E1;l et al., 2023</xref>; <xref ref-type="bibr" rid="ref17">Ivane et al., 2024</xref>; <xref ref-type="bibr" rid="ref10">Djenane et al., 2024</xref>), stating that EOs and extracts treatments, substantially retard microorganisms&#x2019; growth and survival. Notably, at the end of the experimental duration (tenth week), the total viable bacterial counts (TVBC) for the T1 to T9 samples were 167, 125, 142, 121, 86, 92, 55, 43, and 27&#x202F;cfu/g, respectively; the <italic>Staphylococcus aureus</italic> populations in the T1 to T9 treated meat specimens were 25.67, 13.00, 21.67, 19.33, 12.00, 13.00, 7.67, 6.33 and 3.33&#x202F;cfu/g, respectively; the <italic>Salmonella</italic> spp. counts in the T1 to T9 meat samples were 19.67, 14.00, 21.67, 16.33, 13.67, 17.00, 8.67, 6.00 and 4.00&#x202F;cfu/g, respectively. In terms of the fungal contamination, the TFC recorded in the T1 &#x2013; T9 samples were 134, 115, 106, 93, 92, 88, 52, 60 and 56&#x202F;cfu/g, respectively; the afB1values among the treated samples ranged from 2.97 to 11.43&#x202F;ppb, while the afB2 load varied from 2.60 to 10.17&#x202F;ppb.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The bacteria load of the meat samples.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Treatment</th>
<th align="center" valign="top" colspan="6">Storage (weeks)</th>
</tr>
<tr>
<th align="center" valign="top">0</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">4</th>
<th align="center" valign="top">6</th>
<th align="center" valign="top">8</th>
<th align="center" valign="top">10</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">TBVC (x10<sup>2</sup>cfu/g)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.55<sup>b</sup> &#x00B1;&#x202F;0.14</td>
<td align="center" valign="top">1.48<sup>c</sup> &#x00B1;&#x202F;0.23</td>
<td align="center" valign="top">1.97<sup>d</sup> &#x00B1;&#x202F;0.16</td>
<td align="center" valign="top">2.45<sup>e</sup> &#x00B1;&#x202F;0.22</td>
<td align="center" valign="top">3.13<sup>f</sup> &#x00B1;&#x202F;0.18</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.40<sup>b</sup> &#x00B1;&#x202F;0.12</td>
<td align="center" valign="top">0.60<sup>c</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">0.88<sup>d</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">1.34<sup>e</sup> &#x00B1;&#x202F;0.12</td>
<td align="center" valign="top">1.67<sup>f</sup> &#x00B1;&#x202F;0.11</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.05<sup>b</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">0.29<sup>c</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.51<sup>d</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">0.94<sup>e</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">1.25<sup>f</sup> &#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.16<sup>b</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.49<sup>c</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.73<sup>d</sup> &#x00B1;&#x202F;0.11</td>
<td align="center" valign="top">0.98<sup>e</sup> &#x00B1;&#x202F;0.11</td>
<td align="center" valign="top">1.42<sup>f</sup> &#x00B1;&#x202F;0.11</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.04<sup>b</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">0.27<sup>c</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.47<sup>d</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">0.64<sup>e</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">1.21<sup>f</sup> &#x00B1;&#x202F;0.06</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.37<sup>c</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.57<sup>d</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.63<sup>e</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">0.86<sup>f</sup> &#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.01<sup>b</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.26<sup>c</sup> &#x00B1;&#x202F;0.05</td>
<td align="center" valign="top">0.36<sup>d</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.53<sup>e</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">0.92&#x202F;&#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.02<sup>b</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.13<sup>c</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.18<sup>d</sup> &#x00B1;&#x202F;0.01</td>
<td align="center" valign="top">0.35<sup>e</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.55<sup>f</sup> &#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.01<sup>c</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.13<sup>d</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.22<sup>e</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.43<sup>f</sup> &#x00B1;&#x202F;0.03</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.01<sup>c</sup> &#x00B1;&#x202F;0.01</td>
<td align="center" valign="top">0.07<sup>d</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.13<sup>e</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.27<sup>f</sup> &#x00B1;&#x202F;0.06</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7"><italic>Staphylococcus aureus</italic> (cfu/g)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.67<sup>a</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">12.00<sup>b</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">28.67<sup>c</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">51.00<sup>d</sup> &#x00B1;&#x202F;2.65</td>
<td align="center" valign="top">73.33<sup>e</sup> &#x00B1;&#x202F;2.52</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">3.33<sup>b</sup> &#x00B1;&#x202F;2.52</td>
<td align="center" valign="top">10.00<sup>c</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">14.67<sup>d</sup> &#x00B1;&#x202F;2.08</td>
<td align="center" valign="top">25.67<sup>e</sup> &#x00B1;&#x202F;2.08</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.00<sup>b</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">3.00<sup>c</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">7.33<sup>d</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">13.00e&#x202F;&#x00B1;&#x202F;1.00</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.67<sup>a</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">3.00<sup>b</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">8.67<sup>c</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">12.00<sup>d</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">21.67<sup>e</sup> &#x00B1;&#x202F;2.52</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.00<sup>b</sup> &#x00B1;&#x202F;1.73</td>
<td align="center" valign="top">3.00<sup>c</sup> &#x00B1;&#x202F;1.73</td>
<td align="center" valign="top">9.00<sup>d</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">19.33<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">1.00<sup>c</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">6.67<sup>d</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">12.00<sup>e</sup> &#x00B1;&#x202F;2.00</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.00<sup>c</sup></td>
<td align="center" valign="top">6.33<sup>d</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">13.00<sup>e</sup> &#x00B1;&#x202F;2.00</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">2.00<sup>c</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">5.67<sup>d</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">7.67<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.00<sup>b</sup> &#x00B1;&#x202F;01.00</td>
<td align="center" valign="top">0.67<sup>c</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">2.67<sup>d</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">6.33<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.00<sup>c</sup></td>
<td align="center" valign="top">0.00<sup>d</sup></td>
<td align="center" valign="top">3.33<sup>e</sup> &#x00B1;&#x202F;2.08</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7"><italic>Salmonella</italic> spp. (cfu/g)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00a</td>
<td align="center" valign="top">13.33<sup>b</sup> &#x00B1;&#x202F;2.08</td>
<td align="center" valign="top">30.33<sup>c</sup> &#x00B1;&#x202F;3.21</td>
<td align="center" valign="top">52.67<sup>d</sup> &#x00B1;&#x202F;4.73</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">4.33<sup>b</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">11.00<sup>c</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">19.67<sup>d</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.3<sup>a</sup> &#x00B1;&#x202F;30.58</td>
<td align="center" valign="top">4.67<sup>b</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">8.67<sup>c</sup> &#x00B1;&#x202F;2.08</td>
<td align="center" valign="top">14.00<sup>d</sup> &#x00B1;&#x202F;2.00</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.67<sup>b</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">7.00<sup>c</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">21.67<sup>d</sup> &#x00B1;&#x202F;3.51</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.00<sup>b</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">8.00<sup>c</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">16.33<sup>d</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.00<sup>a</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">4.00<sup>b</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">7.67<sup>c</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">13.67<sup>d</sup> &#x00B1;&#x202F;2.52</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.33<sup>b</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">7.67<sup>c</sup> &#x00B1;&#x202F;2.08</td>
<td align="center" valign="top">17.00<sup>d</sup> &#x00B1;&#x202F;1.00</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.33<sup>b</sup> &#x00B1;&#x202F;2.52</td>
<td align="center" valign="top">5.33<sup>c</sup> &#x00B1;&#x202F;2.08</td>
<td align="center" valign="top">8.67<sup>d</sup> &#x00B1;&#x202F;2.08</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.00<sup>a</sup> &#x00B1;&#x202F;1.73</td>
<td align="center" valign="top">1.00<sup>b</sup> &#x00B1;&#x202F;1.73</td>
<td align="center" valign="top">3.33<sup>c</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">6.00<sup>d</sup> &#x00B1;&#x202F;1.00</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.000<sup>b</sup> &#x00B1;&#x202F;.00</td>
<td align="center" valign="top">1.67<sup>c</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">4.00<sup>d</sup> &#x00B1;&#x202F;1.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean&#x202F;&#x00B1;&#x202F;standard deviation (<italic>n</italic>&#x202F;=&#x202F;3); column with the same small alphabet for sample pathogen represent significant difference (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Occurrence of fungal load and aflatoxins in analyzed samples.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2"><bold>Treatment</bold></th>
<th align="center" valign="top" colspan="6"><bold>Storage (weeks)</bold></th>
</tr>
<tr>
<th align="center" valign="top"><bold>0</bold></th>
<th align="center" valign="top"><bold>2</bold></th>
<th align="center" valign="top"><bold>4</bold></th>
<th align="center" valign="top"><bold>6</bold></th>
<th align="center" valign="top"><bold>8</bold></th>
<th align="center" valign="top"><bold>10</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">TFC (x10<sup>2</sup>cfu/g)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.01<sup>a</sup> &#x00B1;&#x202F;0.01</td>
<td align="center" valign="top">0.53<sup>b</sup> &#x00B1;&#x202F;0.26</td>
<td align="center" valign="top">1.20<sup>c</sup> &#x00B1;&#x202F;0.14</td>
<td align="center" valign="top">1.45<sup>d</sup> &#x00B1;&#x202F;0.38</td>
<td align="center" valign="top">2.18<sup>e</sup> &#x00B1;&#x202F;0.14</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.18<sup>b</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">0.83<sup>c</sup> &#x00B1;&#x202F;0.10</td>
<td align="center" valign="top">1.06<sup>d</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">1.34<sup>e</sup> &#x00B1;&#x202F;0.08</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.03<sup>b</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.12<sup>c</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">1.02<sup>d</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">1.15<sup>e</sup> &#x00B1;&#x202F;0.18</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.01<sup>a</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">0.10<sup>b</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.55<sup>c</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">0.93<sup>d</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">1.06<sup>e</sup> &#x00B1;&#x202F;0.06</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.01<sup>a</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">0.11<sup>b</sup> &#x00B1;&#x202F;0.03</td>
<td align="center" valign="top">0.47<sup>c</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">0.73<sup>d</sup> &#x00B1;&#x202F;0.09</td>
<td align="center" valign="top">0.93<sup>e</sup> &#x00B1;&#x202F;0.08</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.02<sup>a</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">0.20<sup>b</sup> &#x00B1;&#x202F;0.19</td>
<td align="center" valign="top">0.53<sup>c</sup> &#x00B1;&#x202F;0.31</td>
<td align="center" valign="top">0.68<sup>d</sup> &#x00B1;&#x202F;0.19</td>
<td align="center" valign="top">0.92<sup>e</sup> &#x00B1;&#x202F;0.08</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.02<sup>a</sup> &#x00B1;&#x202F;0.01</td>
<td align="center" valign="top">0.17<sup>b</sup> &#x00B1;&#x202F;0.17</td>
<td align="center" valign="top">0.57<sup>c</sup> &#x00B1;&#x202F;0.18</td>
<td align="center" valign="top">0.59<sup>d</sup> &#x00B1;&#x202F;0.25</td>
<td align="center" valign="top">0.88<sup>e</sup> &#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.01<sup>a</sup> &#x00B1;&#x202F;0.01</td>
<td align="center" valign="top">0.23<sup>b</sup> &#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.50<sup>c</sup> &#x00B1;&#x202F;0.12</td>
<td align="center" valign="top">0.54<sup>d</sup> &#x00B1;&#x202F;0.19</td>
<td align="center" valign="top">0.62<sup>e</sup> &#x00B1;&#x202F;0.17</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.10<sup>b</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">0.18<sup>c</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">0.27<sup>d</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">0.60<sup>e</sup> &#x00B1;&#x202F;0.13</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.07b&#x202F;&#x00B1;&#x202F;0.07</td>
<td align="center" valign="top">0.16<sup>c</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">0.23<sup>d</sup> &#x00B1;&#x202F;0.10</td>
<td align="center" valign="top">0.36<sup>e</sup> &#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">AFB1 (ppb)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.23<sup>a</sup> &#x00B1;&#x202F;0.40</td>
<td align="center" valign="top">3.67<sup>b</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">7.00<sup>c</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">13.00<sup>d</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">20.67<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.13<sup>b</sup> &#x00B1;&#x202F;0.23</td>
<td align="center" valign="top">3.20<sup>c</sup> &#x00B1;&#x202F;0.66</td>
<td align="center" valign="top">4.93<sup>d</sup> &#x00B1;&#x202F;0.21</td>
<td align="center" valign="top">11.43<sup>e</sup> &#x00B1;&#x202F;1.50</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.00<sup>b</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">3.67<sup>c</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">5.00<sup>d</sup> &#x00B1;&#x202F;2.00</td>
<td align="center" valign="top">8.33<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">3.67<sup>b</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">5.67<sup>c</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">7.67<sup>d</sup> &#x00B1;&#x202F;0.58</td>
<td align="center" valign="top">11.00<sup>e</sup> &#x00B1;&#x202F;1.00</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">2.33<sup>b</sup> &#x00B1;&#x202F;1.15</td>
<td align="center" valign="top">4.00<sup>c</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">8.00<sup>d</sup> &#x00B1;&#x202F;1.00</td>
<td align="center" valign="top">8.67<sup>e</sup> &#x00B1;&#x202F;1.53</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.87<sup>c</sup> &#x00B1;&#x202F;0.32</td>
<td align="center" valign="top">2.50<sup>d</sup> &#x00B1;&#x202F;0.50</td>
<td align="center" valign="top">3.87<sup>e</sup> &#x00B1;&#x202F;0.86</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.20<sup>b</sup> &#x00B1;&#x202F;0.35</td>
<td align="center" valign="top">1.17<sup>c</sup> &#x00B1;&#x202F;0.40</td>
<td align="center" valign="top">2.67<sup>d</sup> &#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">4.33<sup>e</sup> &#x00B1;&#x202F;1.15</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.23<sup>b</sup> &#x00B1;&#x202F;0.25</td>
<td align="center" valign="top">1.27<sup>c</sup> &#x00B1;&#x202F;0.15</td>
<td align="center" valign="top">2.90<sup>d</sup> &#x00B1;&#x202F;0.36</td>
<td align="center" valign="top">5.60<sup>e</sup> &#x00B1;&#x202F;0.82</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.33<sup>c</sup> &#x00B1;&#x202F;0.15</td>
<td align="center" valign="top">2.23<sup>d</sup> &#x00B1;&#x202F;0.23</td>
<td align="center" valign="top">4.83<sup>e</sup> &#x00B1;&#x202F;0.25</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.17<sup>c</sup> &#x00B1;&#x202F;0.21</td>
<td align="center" valign="top">1.30<sup>d</sup> &#x00B1;&#x202F;0.10</td>
<td align="center" valign="top">2.97<sup>e</sup> &#x00B1;&#x202F;0.32</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">AFB2 (ppb)</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.20a&#x202F;&#x00B1;&#x202F;0.20</td>
<td align="center" valign="top">3.30<sup>b</sup> &#x00B1;&#x202F;0.75</td>
<td align="center" valign="top">6.27<sup>c</sup> &#x00B1;&#x202F;1.86</td>
<td align="center" valign="top">12.10<sup>d</sup> &#x00B1;&#x202F;1.87</td>
<td align="center" valign="top">17.87<sup>e</sup> &#x00B1;&#x202F;0.96</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.53<sup>b</sup> &#x00B1;&#x202F;0.45</td>
<td align="center" valign="top">2.60<sup>c</sup> &#x00B1;&#x202F;0.36</td>
<td align="center" valign="top">4.30<sup>d</sup> &#x00B1;&#x202F;0.30</td>
<td align="center" valign="top">10.17<sup>e</sup> &#x00B1;&#x202F;1.11</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.50<sup>b</sup> &#x00B1;&#x202F;1.05</td>
<td align="center" valign="top">3.60<sup>c</sup> &#x00B1;&#x202F;0.95</td>
<td align="center" valign="top">4.00<sup>d</sup> &#x00B1;&#x202F;1.65</td>
<td align="center" valign="top">6.43e&#x202F;&#x00B1;&#x202F;0.49</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">3.10<sup>b</sup> &#x00B1;&#x202F;0.90</td>
<td align="center" valign="top">4.97<sup>c</sup> &#x00B1;&#x202F;0.15</td>
<td align="center" valign="top">6.87<sup>d</sup> &#x00B1;&#x202F;0.80</td>
<td align="center" valign="top">9.87<sup>e</sup> &#x00B1;&#x202F;1.11</td>
</tr>
<tr>
<td align="left" valign="top">T4</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">1.90b&#x202F;&#x00B1;&#x202F;0.95</td>
<td align="center" valign="top">3.67<sup>c</sup> &#x00B1;&#x202F;1.05</td>
<td align="center" valign="top">6.97<sup>d</sup> &#x00B1;&#x202F;0.78</td>
<td align="center" valign="top">7.43<sup>e</sup> &#x00B1;&#x202F;1.42</td>
</tr>
<tr>
<td align="left" valign="top">T5</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.50<sup>c</sup> &#x00B1;&#x202F;0.35</td>
<td align="center" valign="top">2.03<sup>d</sup> &#x00B1;&#x202F;0.42</td>
<td align="center" valign="top">2.70<sup>e</sup> &#x00B1;&#x202F;0.46</td>
</tr>
<tr>
<td align="left" valign="top">T6</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.20<sup>b</sup> &#x00B1;&#x202F;0.35</td>
<td align="center" valign="top">0.73<sup>c</sup> &#x00B1;&#x202F;0.21</td>
<td align="center" valign="top">2.00<sup>d</sup> &#x00B1;&#x202F;1.31</td>
<td align="center" valign="top">4.67<sup>e</sup> &#x00B1;&#x202F;0.55</td>
</tr>
<tr>
<td align="left" valign="top">T7</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.47<sup>b</sup> &#x00B1;&#x202F;0.45</td>
<td align="center" valign="top">1.63<sup>c</sup> &#x00B1;&#x202F;0.23</td>
<td align="center" valign="top">2.50<sup>d</sup> &#x00B1;&#x202F;0.26</td>
<td align="center" valign="top">4.73<sup>e</sup> &#x00B1;&#x202F;0.47</td>
</tr>
<tr>
<td align="left" valign="top">T8</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.20<sup>c</sup> &#x00B1;&#x202F;0.10</td>
<td align="center" valign="top">1.90<sup>d</sup> &#x00B1;&#x202F;0.20</td>
<td align="center" valign="top">3.97<sup>e</sup> &#x00B1;&#x202F;0.81</td>
</tr>
<tr>
<td align="left" valign="top">T9</td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>a</sup></td>
<td align="center" valign="top">0.00<sup>b</sup></td>
<td align="center" valign="top">0.27<sup>c</sup> &#x00B1;&#x202F;0.38</td>
<td align="center" valign="top">0.83<sup>d</sup> &#x00B1;&#x202F;0.40</td>
<td align="center" valign="top">2.60<sup>e</sup> &#x00B1;&#x202F;0.50</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean&#x202F;&#x00B1;&#x202F;standard deviation (<italic>n</italic>&#x202F;=&#x202F;3); column with the same small alphabet for sample pathogen represent significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
<p>Generally, the mean samples treated with essential oils demonstrated better preservative attributes, than those treated with the extracts, similar to the findings of <xref ref-type="bibr" rid="ref5">Ashraf et al. (2025)</xref>. This study&#x2019;s outcomes depicted that meat samples preserved using hybridized treatments (T3&#x2013;T9), exhibited a longer shelf life and stability, compared to those samples preserved with single treatments (T1 and T2). The hybridization of onion waste and plantain peel EOs at a concentration of 0.5% each (T9), demonstrated effective control over bacterial and fungal performance, particularly against afB1 and afB2. This could be attributed to the broad-spectrum antimicrobial properties of the oils (<xref ref-type="bibr" rid="ref4">Alirezalu et al., 2019</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). The lower <italic>Staphylococcus aureus, Salmonella</italic> spp., and aflatoxins populations, observed in T9 meat sample can be attributed to the consistently low moisture content, this specimen maintained throughout the storage period. Lower moisture levels create an inhospitable environment, for microbial growth and toxin production (<xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). The statistical analysis revealed no significant difference in the populations of fungi, afB1, and afB2 between Weeks 0 and 2 (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05), an indication that the fungal growth and aflatoxins has very poor functionality during the initial storage period, which can be linked to the immediate effect of the organic additives (<xref ref-type="bibr" rid="ref8">Beya et al., 2021</xref>).</p>
<p>The zero microbial count recorded at the first storage day, affirmed that the meat primarily picked up pathogenic microorganisms during storage, through contaminated environment and atmospheric depositions (<xref ref-type="bibr" rid="ref30">Pleadin et al., 2021</xref>; <xref ref-type="bibr" rid="ref41">Uguru et al., 2024</xref>&#x2019; <xref ref-type="bibr" rid="ref10">Djenane et al., 2024</xref>). Similarly, the rapid microbial growth observed after sixth week storage period, can be associated with the substantial decline in the meat&#x2019;s antimicrobial and antioxidant properties over time; hence, creating favorable conditions for pathogen proliferation (<xref ref-type="bibr" rid="ref32">Punia et al., 2021</xref>). Similar findings were documented by <xref ref-type="bibr" rid="ref24">Mojaddar et al. (2018)</xref>, when sumac (<italic>Rhus coriaria</italic>) extract was able to inhibit bacteria and fungi survivability. According to <xref ref-type="bibr" rid="ref22">Lupia et al. (2024)</xref>, due to the volatile nature of essential oils, they have greater ability of penetrating and disrupting microbial cellular structures, and metabolic functions, leading to enhance antimicrobial actions.</p>
<p>This experimental outcome aligned with the previous reports of these authors (<xref ref-type="bibr" rid="ref7">Barbosa et al., 2009</xref>; <xref ref-type="bibr" rid="ref44">Yuan and Yuk, 2018</xref>; <xref ref-type="bibr" rid="ref29">Petcu et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>), which stated that EOs and extracts derived from edible portions of peppermint (<italic>Mentha piperita</italic> L), lemongrass (<italic>Cymbopogon citratus</italic>), ginger (<italic>Zingiber officinale Roscoe</italic>), clove (<italic>Syzygium aromaticum</italic>) and <italic>Syzygium antisepticum</italic>, successfully retarded <italic>Salmonella</italic> spp., <italic>Staphylococcus aureus</italic> and Coliform reproduction in chicken meat stored inside the refrigeration for 12&#x202F;days. This affirms that EOs and extracts produced from agricultural waste materials, rather than the comestible plant parts, can be effectively utilized for meat preservation, thereby combating food insecurity problem, as well as waste valorization.</p>
<p>The fungal analysis depicted that Aflatoxins B1 (afB1) and Aflatoxins (afB2) presence were relatively small in T5, T8, and T9 samples, which can be linked to anti aflatoxins properties (bioactive compounds) of the extract and oil (<xref ref-type="bibr" rid="ref2">Algammal et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">Baker, 2023</xref>). Specifically, the study revealed that the optimization and treatment combination provided by the CCD model revealed that, plants waste materials can be processed into EO and extract, with the capability of retarding aflatoxins formation within permissible limits for human safety, established by the European Council (EU) and World Health Organization (WHO). The WHO and European council approved maximum aflatoxins acceptable level of 10&#x202F;ppb and 4&#x202F;ppb, respectively, for food items (<xref ref-type="bibr" rid="ref9">Bradford et al., 2020</xref>; <xref ref-type="bibr" rid="ref40">Uguru et al., 2023</xref>). These outcomes underscore the importance of further research into pharmaceutical (antimicrobial) impact of agricultural waste materials, thereby ratifying the efficacy of the natural antioxidants as bio-preservation approach.</p>
</sec>
<sec id="sec29">
<title>Modeling and optimization of the meat quality during storage</title>
<p>The results of the modeling and optimization of the meat storability, with respect to the treatment plans, were presented in <xref ref-type="table" rid="tab7">Tables 7</xref>&#x2013;<xref ref-type="table" rid="tab9">9</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S1</xref>&#x2013;<xref rid="SM1" ref-type="supplementary-material">S4</xref>. <xref ref-type="table" rid="tab7">Table 7</xref> displays the microbial results of the meat samples during storage for the 31 runs (based on <xref ref-type="table" rid="tab1">Table 1</xref>), through the combination of these factors: treatment and storage duration. <xref ref-type="table" rid="tab8">Table 8</xref> shows the ANOVA values for response model and parameters. <italic>Staphylococcus</italic> spp., <italic>Salmonella</italic> spp. Aflatoxins B1 and B2 classified in the treated meat samples (<xref ref-type="table" rid="tab7">Table 7</xref>) were active pathogenic microbes, which have been linked to serious foodborne diseases (<xref ref-type="bibr" rid="ref9">Bradford et al., 2020</xref>; <xref ref-type="bibr" rid="ref29">Petcu et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Ka&#x010D;&#x00E1;niov&#x00E1; et al., 2024</xref>). The data shown that in experimental runs 1, 2, 5, 9, 10, 13, 16, and 27, regardless of the response investigated, the contamination level was 0.000 (0%), which is an indication that the particular treatment successfully inhibited the pathogen persistence, at that exact storage period. Furthermore, the optimal response surface result (<xref ref-type="table" rid="tab7">Table 7</xref>) depicts that, the untreated experimental batch (T0), had the worst microbial prevalence and toxins formation; while T8 and T9 units were very persuasive in microbial suppression, further buttressing the worth of the treatment agents in meat preservation (<xref ref-type="bibr" rid="ref4">Alirezalu et al., 2019</xref>; <xref ref-type="bibr" rid="ref5">Ashraf et al., 2025</xref>). Based on the optimization outcomes, T9 had the optimal results, yielding almost 0% microbial growth and toxin formation after several storage weeks; though T6&#x2013;T8 recorded appreciable anti- pathogenic actions, and T1&#x2013;T3 demonstrated moderate antimicrobial management behaviors. Fascinatingly, the reliability evaluation outcomes performed with runs 19, 10, 25, and 26, affirmed the optimization model constancy.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Optimal response surface experimental design result.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Run</th>
<th align="center" valign="top">Storage time (week)</th>
<th align="center" valign="top">Sample code</th>
<th align="center" valign="top">TBC</th>
<th align="center" valign="top"><italic>Staphylococcus aureus</italic></th>
<th align="center" valign="top"><italic>Salmonella</italic> spp.</th>
<th align="center" valign="top">TFC</th>
<th align="center" valign="top">afB1</th>
<th align="center" valign="top">afB2</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T9</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T8</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T1</td>
<td align="center" valign="middle">5.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">T3</td>
<td align="center" valign="middle">142.000</td>
<td align="center" valign="middle">21.67</td>
<td align="center" valign="middle">21.67</td>
<td align="center" valign="middle">106.000</td>
<td align="center" valign="middle">11.000</td>
<td align="center" valign="middle">9.87</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T9</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">T3</td>
<td align="center" valign="middle">49.000</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">10.000</td>
<td align="center" valign="middle">3.67</td>
<td align="center" valign="middle">3.1</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T4</td>
<td align="center" valign="middle">4.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">10.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T4</td>
<td align="center" valign="middle">64.000</td>
<td align="center" valign="middle">9.00</td>
<td align="center" valign="middle">8.00</td>
<td align="center" valign="middle">73.000</td>
<td align="center" valign="middle">8.00</td>
<td align="center" valign="middle">6.97</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">T3</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T5</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">2.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">11</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T0</td>
<td align="center" valign="middle">245.000</td>
<td align="center" valign="middle">51.00</td>
<td align="center" valign="middle">30.33</td>
<td align="center" valign="middle">145.000</td>
<td align="center" valign="middle">13.00</td>
<td align="center" valign="middle">12.10</td>
</tr>
<tr>
<td align="left" valign="middle">12</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T1</td>
<td align="center" valign="middle">134.000</td>
<td align="center" valign="middle">14.67</td>
<td align="center" valign="middle">11.000</td>
<td align="center" valign="middle">106.000</td>
<td align="center" valign="middle">4.93</td>
<td align="center" valign="middle">4.30</td>
</tr>
<tr>
<td align="left" valign="middle">13</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">T2</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">14</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T2</td>
<td align="center" valign="middle">94.000</td>
<td align="center" valign="middle">7.33</td>
<td align="center" valign="middle">8.67</td>
<td align="center" valign="middle">102.000</td>
<td align="center" valign="middle">5.000</td>
<td align="center" valign="middle">4.000</td>
</tr>
<tr>
<td align="left" valign="middle">15</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T2</td>
<td align="center" valign="middle">5.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">16</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">T0</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">17</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T7</td>
<td align="center" valign="middle">35.000</td>
<td align="center" valign="middle">5.670</td>
<td align="center" valign="middle">5.330</td>
<td align="center" valign="middle">54.000</td>
<td align="center" valign="middle">2.90</td>
<td align="center" valign="middle">2.500</td>
</tr>
<tr>
<td align="left" valign="middle">18</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T0</td>
<td align="center" valign="middle">55.000</td>
<td align="center" valign="middle">0 0.670</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">0.230</td>
<td align="center" valign="middle">0.200</td>
</tr>
<tr>
<td align="left" valign="middle">19</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T6</td>
<td align="center" valign="middle">53.000</td>
<td align="center" valign="middle">6.330</td>
<td align="center" valign="middle">7.670</td>
<td align="center" valign="middle">59.000</td>
<td align="center" valign="middle">2.230</td>
<td align="center" valign="middle">2.000</td>
</tr>
<tr>
<td align="left" valign="middle">20</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T6</td>
<td align="center" valign="middle">53.000</td>
<td align="center" valign="middle">6.330</td>
<td align="center" valign="middle">7.670</td>
<td align="center" valign="middle">59.000</td>
<td align="center" valign="middle">2.230</td>
<td align="center" valign="middle">2.00</td>
</tr>
<tr>
<td align="left" valign="middle">21</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T7</td>
<td align="center" valign="middle">2.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">22</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T6</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">2.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">23</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">T3</td>
<td align="center" valign="middle">16.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">24</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">T1</td>
<td align="center" valign="middle">60.000</td>
<td align="center" valign="middle">3.33</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">18.000</td>
<td align="center" valign="middle">2.13</td>
<td align="center" valign="middle">1.53</td>
</tr>
<tr>
<td align="left" valign="middle">25</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T9</td>
<td align="center" valign="middle">13.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">23.000</td>
<td align="center" valign="middle">1.30</td>
<td align="center" valign="middle">0.83</td>
</tr>
<tr>
<td align="left" valign="middle">26</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T9</td>
<td align="center" valign="middle">13.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">23.000</td>
<td align="center" valign="middle">1.30</td>
<td align="center" valign="middle">0.83</td>
</tr>
<tr>
<td align="left" valign="middle">27</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">T1</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">28</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">T8</td>
<td align="center" valign="middle">22.000</td>
<td align="center" valign="top">2.67</td>
<td align="center" valign="top">3.33</td>
<td align="center" valign="top">27.000</td>
<td align="center" valign="top">2.23</td>
<td align="center" valign="top">1.90</td>
</tr>
<tr>
<td align="left" valign="top">29</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">T4</td>
<td align="center" valign="top">64.000</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8.000</td>
<td align="center" valign="top">73.000</td>
<td align="center" valign="top">8.000</td>
<td align="center" valign="top">6.87</td>
</tr>
<tr>
<td align="left" valign="top">30</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">T5</td>
<td align="center" valign="top">63.000</td>
<td align="center" valign="top">6.67</td>
<td align="center" valign="top">7.67</td>
<td align="center" valign="top">68.000</td>
<td align="center" valign="top">2.25</td>
<td align="center" valign="top">2.03</td>
</tr>
<tr>
<td align="left" valign="top">31</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">T4</td>
<td align="center" valign="top">4.000</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Sample code is same as treatment code.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>ANOVA for response model and parameters.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Response</th>
<th align="left" valign="top">Source</th>
<th align="center" valign="top">Sum of Squares</th>
<th align="center" valign="top">df</th>
<th align="center" valign="top">Mean Square</th>
<th align="center" valign="top"><italic>F</italic>-value</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="left" valign="top">Remark</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="7">TBC</td>
<td align="left" valign="bottom">Model</td>
<td align="center" valign="bottom">490.7</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">49.07</td>
<td align="center" valign="bottom">18.52</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="bottom">407.63</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">407.63</td>
<td align="center" valign="bottom">153.89</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="bottom">153.12</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">17.01</td>
<td align="center" valign="bottom">6.42</td>
<td align="center" valign="bottom">0.0003</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">52.98</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">2.65</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Lack of Fit</td>
<td align="center" valign="bottom">52.98</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">3.53</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Pure Error</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Cor Total</td>
<td align="center" valign="bottom">543.68</td>
<td align="center" valign="bottom">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7"><italic>Staphylococcus aureus</italic></td>
<td align="left" valign="bottom">Model</td>
<td align="center" valign="bottom">78.16</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">7.82</td>
<td align="center" valign="bottom">8.69</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="bottom">64.44</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">64.44</td>
<td align="center" valign="bottom">71.62</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="bottom">22.41</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">2.49</td>
<td align="center" valign="bottom">2.77</td>
<td align="center" valign="bottom">0.0278</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">0.8998</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Lack of Fit</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">1.2</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Pure Error</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Cor Total</td>
<td align="center" valign="bottom">96.16</td>
<td align="center" valign="bottom">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7"><italic>Salmonella</italic> spp.</td>
<td align="left" valign="bottom">Model</td>
<td align="center" valign="bottom">65.92</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">6.59</td>
<td align="center" valign="bottom">7.58</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="bottom">56.4</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">56.4</td>
<td align="center" valign="bottom">64.89</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="bottom">13.1</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">1.46</td>
<td align="center" valign="bottom">1.67</td>
<td align="center" valign="bottom">0.1611</td>
<td align="left" valign="bottom">Not significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">17.38</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">0.8692</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Lack of Fit</td>
<td align="center" valign="bottom">17.38</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">1.16</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Pure Error</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Cor Total</td>
<td align="center" valign="bottom">83.3</td>
<td align="center" valign="bottom">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7">TFC</td>
<td align="left" valign="bottom">Model</td>
<td align="center" valign="bottom">445.7</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">44.57</td>
<td align="center" valign="bottom">29.16</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="bottom">412.91</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">412.91</td>
<td align="center" valign="bottom">270.1</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="bottom">41.31</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">4.59</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.0195</td>
<td align="left" valign="bottom">Not significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">30.57</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">1.53</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Lack of Fit</td>
<td align="center" valign="bottom">28.24</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">1.88</td>
<td align="center" valign="bottom">4.03</td>
<td align="center" valign="bottom">0.0658</td>
<td align="left" valign="bottom">Not significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Pure Error</td>
<td align="center" valign="bottom">2.34</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0.4675</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Cor Total</td>
<td align="center" valign="bottom">476.28</td>
<td align="center" valign="bottom">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7">afB1</td>
<td align="left" valign="bottom">Model</td>
<td align="center" valign="bottom">35.66</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">3.57</td>
<td align="center" valign="bottom">17.69</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="bottom">32.95</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">32.95</td>
<td align="center" valign="bottom">163.47</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="bottom">5.85</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">0.6501</td>
<td align="center" valign="bottom">3.23</td>
<td align="center" valign="bottom">0.014</td>
<td align="left" valign="bottom">Significant</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">4.03</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">0.2015</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Lack of Fit</td>
<td align="center" valign="bottom">4.03</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">0.2687</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Pure Error</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Cor Total</td>
<td align="center" valign="bottom">39.69</td>
<td align="center" valign="bottom">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">afB2</td>
<td align="left" valign="top">Model</td>
<td align="center" valign="top">31.14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">3.11</td>
<td align="center" valign="top">16.34</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="left" valign="top">Significant</td>
</tr>
<tr>
<td align="left" valign="top">Storage Time</td>
<td align="center" valign="top">28.37</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">28.37</td>
<td align="center" valign="top">148.9</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="left" valign="top">Significant</td>
</tr>
<tr>
<td align="left" valign="top">Sample code</td>
<td align="center" valign="top">5.49</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0.6102</td>
<td align="center" valign="top">3.2</td>
<td align="center" valign="top">0.0144</td>
<td align="left" valign="top">Significant</td>
</tr>
<tr>
<td align="left" valign="top">Residual</td>
<td align="center" valign="top">3.81</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">0.1905</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lack of Fit</td>
<td align="center" valign="top">3.81</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">0.254</td>
<td align="center" valign="top">7031.12</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="left" valign="top">Significant</td>
</tr>
<tr>
<td align="left" valign="top">Pure Error</td>
<td align="center" valign="top">0.0002</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Cor Total</td>
<td align="center" valign="top">34.95</td>
<td align="center" valign="top">30</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Constrain applied for the optimization action.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Name</th>
<th align="center" valign="top">Goal</th>
<th align="center" valign="top">Lower limit</th>
<th align="center" valign="top">Upper limit</th>
<th align="center" valign="top">Lower weight</th>
<th align="center" valign="top">Upper weight</th>
<th align="center" valign="top">Importance</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Storage Time</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom">Sample code</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">T0</td>
<td align="center" valign="bottom">T9</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom">TBC</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">245</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Staphylococcus aureus</italic></td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">51</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Salmonella</italic> spp.</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">33.33</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom">TFC</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">145</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom">Aflatoxins B1</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
<tr>
<td align="left" valign="bottom">Aflatoxins B2</td>
<td align="center" valign="top">IIR</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">12.1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IIR ~ is in range.</p>
</table-wrap-foot>
</table-wrap>
<p>Specifically, <xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S1</xref>&#x2013;<xref rid="SM1" ref-type="supplementary-material">S4</xref> displayed the following - optimization model selection for responses, response model equations used for optimization, response models statistic and optimization solutions, respectively. The information provided by <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S4</xref> (optimization solutions) revealed that, the minimal values solutions can be achieved in serial numbers 5, 14, 19, and 23. This sustained the fact that the distill water used for this research, was devoid of microbial pollution. Additionally, <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S4</xref> pointed out that, some of the natural agents used for the meat treatment have traces of microbial contamination, which can be attributed to their mode of preparation and cross-contamination effects. <xref ref-type="table" rid="tab9">Table 9</xref> shows the constrain use for this study&#x2019;s optimization action. The values in <xref ref-type="table" rid="tab9">Table 9</xref> provide safe and suitable boundaries, for the parameters investigated in this work, primarily by identifying the combinations&#x2013;treatments and storage period, which will yield minimal pathogenic contamination. Also, the importance level (3) signifies moderate primacy meant for each restraint. These conditions facilitate the attainment of reliable storage and treatment results.</p>
<p>Furthermore, the results of the interactions between the responses, storage time and treatment plan are presented in <xref ref-type="fig" rid="fig1">Figures 1</xref>&#x2013;<xref ref-type="fig" rid="fig6">6</xref>. The models and optimization Figures revealed that Treatments 5, 8, and 9 had the best inhibiting power against TBC survival; while T7 and T8 exhibited the optimal <italic>Staphylococcus</italic> and <italic>Salmonella</italic> spp. survival inhibition. Similarly, the results indicated that T8 and T9 effectively retard fungal performance within the specimens; while T6, T8 and T9, exhibited high efficiency against afB1 and afB2 survival. Regarding the stability and storability of the meat products, the <xref ref-type="fig" rid="fig5">Figures 5</xref>, <xref ref-type="fig" rid="fig6">6</xref> revealed the reproduction tracks of the microbial within the preserved meat samples, as the storage period progresses from week 0 to week 10. Generally, there was sharp increment in pathogenic microorganism&#x2019;s performance, in the T0, T1, T2, T3, and T4 specimens, as storage progresses; which indicates that these treatments has poor preservation qualities. Also, the gentle slope curves, as reflected by T7, T8, and T9, are a sign of good microbial steadiness, irrespective of the microorganism examined in this research. Based on the treatments optimization outcomes, samples treated with T9 show the optimal microbial inhibition potential; though samples treated with Treatments 5 to 8, display good effectiveness in hindering microbial growth. Specifically, samples T5 to T9 can be considered to be more shelf-stable, due to the higher resistivity to microbial invasion, which can lead to food spoilage. The prediction and optimization outcomes established that, the treatments have different antimicrobial potencies. Therefore, some treatments were able to retard microbial resilience significantly, when compared to others, signifying superior microbial control. Conversely, the rapid surge in microbial growth in T0, recorded across microorganisms evaluated, suggested that the untreated meat product is more vulnerable to microbial contamination during storage.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p><bold>(A)</bold> Impact of TBC across samples; <bold>(B)</bold> Influence of TBC on storage time across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g001.tif">
<alt-text content-type="machine-generated">Graph A displays the change in Total Bacterial Count (TBC) over sample codes T0 to T9, showing a decrease from around 150 to near zero, with a predicted value of 8.99453. Graph B shows the interaction effect of storage time on TBC, increasing from zero to approximately 400 over ten weeks. Design points and confidence intervals are marked, with color coding indicating different weeks.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p><bold>(A)</bold> Influence of <italic>Staphylococcus aureus</italic> across samples. <bold>(B)</bold> Influence of <italic>Staphylococcus aureus</italic> on storage duration across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g002.tif">
<alt-text content-type="machine-generated">Top chart shows Staphylococcus spp. levels over time labeled T0 to T9 with design points and errors. A prediction value is labeled 1.43988. Bottom chart displays an interaction of storage time (weeks) versus Staphylococcus spp., with different colored lines for each sample (B1 to B10). The 95% Confidence Interval bands are indicated. Prediction value is also noted.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A)</bold> Influence of <italic>Salmonella</italic> spp. across samples. <bold>(B)</bold> Influence of <italic>Salmonella</italic> spp. on Storage time across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g003.tif">
<alt-text content-type="machine-generated">Two charts labeled "One Factor" and "Interaction" display data on Salmonella Spp. The top chart shows sample codes T0 to T9, revealing a decrease in levels with a noted prediction of 1.13992. The bottom chart presents Salmonella levels against storage time in weeks, showing an upward trend for samples B1 to B10, with 95% confidence interval bands and various design points.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p><bold>(A)</bold> Inspiration of TFC across samples. <bold>(B)</bold> Effect of TFC on storage duration across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g004.tif">
<alt-text content-type="machine-generated">Two charts show data analysis with sample codes. The first chart, a line graph, plots sample codes T0 to T9 against TFC values, with black squares and red circles as data points. The prediction value is 10.6536. The second chart, an interaction plot, displays TFC against storage time in weeks with design points marked in varied colors and shapes, indicating different B1 to B10 samples. The 95% confidence interval bands are included.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p><bold>(A)</bold> Influence of afB1 across samples; <bold>(B)</bold> Influence of afB1 on Storage time across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g005.tif">
<alt-text content-type="machine-generated">The image consists of two graphs analyzing AfB1 levels in parts per billion. The top graph shows AfB1 levels over sample codes T0 to T9 with a note on a truncated LSD bar due to a transform error. The bottom graph depicts an interaction between storage time in weeks and sample codes. Both graphs display design points, and the bottom graph also includes 95% confidence interval bands. Various symbols represent different sample codes across both graphs.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p><bold>(A)</bold> Influence of afB2 across samples. <bold>(B)</bold> Influence of afB2 on Storage time across sample.</p>
</caption>
<graphic xlink:href="fsufs-09-1626489-g006.tif">
<alt-text content-type="machine-generated">Two charts analyze AfB2 levels. Chart A shows AfB2 levels across ten sample codes (T0 to T9) with design points and a warning about truncated LSD bars. Chart B illustrates the interaction between storage time (weeks) and sample codes, including 95 percent confidence intervals and various design points.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec30">
<title>Confirmation of the model created and the optimization process</title>
<p>The result of the confirmation test preformed on the model is presented in <xref ref-type="table" rid="tab10">Table 10</xref>. Validation test is necessary in optimization process, as it helps to authenticate the consistency and reproducibility of the outcomes documented from the experimental procedures (<xref ref-type="bibr" rid="ref38">Teja et al., 2023</xref>); hence, boosting the assurance level of the optimized final results. <xref ref-type="table" rid="tab10">Table 10</xref> establishes that all the authentication experimental outcomes, were within the 95% prediction ranges, portraying substantial microbial growth inhibition, and high functionality of the model used. Categorically, it can be seen that the system has high predictive precision, and does not require further improvement, since the microbial burden documented by the validation exercise, did not significantly surpassed the model expectations.</p>
<table-wrap position="float" id="tab10">
<label>Table 10</label>
<caption>
<p>Confirmation (Validation) experiment optimization model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Factor</th>
<th align="center" valign="top">Predicted mean</th>
<th align="center" valign="top">Predicted median</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top"><italic>R</italic></th>
<th align="center" valign="top">SE Pred</th>
<th align="center" valign="top">PI low (955)</th>
<th align="center" valign="top">MER</th>
<th align="center" valign="top">PI high (95%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">TBC</td>
<td align="center" valign="bottom">94.80</td>
<td align="center" valign="bottom">92.16</td>
<td align="center" valign="bottom">31.47</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">32.11</td>
<td align="center" valign="top">109.21</td>
<td align="center" valign="bottom">183.14</td>
</tr>
<tr>
<td align="left" valign="bottom">Staph</td>
<td align="center" valign="bottom">12.55</td>
<td align="center" valign="bottom">11.65</td>
<td align="center" valign="bottom">6.59</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">1.26</td>
<td align="center" valign="top">10.83</td>
<td align="center" valign="bottom">32.55</td>
</tr>
<tr>
<td align="left" valign="bottom">Salm</td>
<td align="center" valign="bottom">7.81</td>
<td align="center" valign="bottom">6.943</td>
<td align="center" valign="bottom">5.06</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">0.15</td>
<td align="center" valign="top">5.99</td>
<td align="center" valign="bottom">23.89</td>
</tr>
<tr>
<td align="left" valign="bottom">TFC</td>
<td align="center" valign="bottom">40.84</td>
<td align="center" valign="bottom">39.31</td>
<td align="center" valign="bottom">15.65</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">10.77</td>
<td align="center" valign="top">50.83</td>
<td align="center" valign="bottom">85.71</td>
</tr>
<tr>
<td align="left" valign="bottom">afB1</td>
<td align="center" valign="bottom">3.83</td>
<td align="center" valign="bottom">3.63</td>
<td align="center" valign="bottom">1.73</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">0.67</td>
<td align="center" valign="top">5.02</td>
<td align="center" valign="bottom">8.939</td>
</tr>
<tr>
<td align="left" valign="bottom">afB2</td>
<td align="center" valign="bottom">3.48</td>
<td align="center" valign="bottom">3.29</td>
<td align="center" valign="bottom">1.61</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">N/A</td>
<td align="center" valign="bottom">0.57</td>
<td align="center" valign="top">4.78</td>
<td align="center" valign="bottom">8.22</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Salm&#x202F;=&#x202F;<italic>Salmonella</italic> spp., Staph&#x202F;=&#x202F;<italic>Staphylococcus aureus</italic>, R&#x202F;=&#x202F;Replications, PI&#x202F;=&#x202F;predictive Interval, SD&#x202F;=&#x202F;Standard deviation, SE Pred&#x202F;=&#x202F;Standard Error of Prediction, N/A&#x202F;=&#x202F;Not Available, MER&#x202F;=&#x202F;Mean Experimental Result.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="conclusions" id="sec31">
<title>Conclusion</title>
<p>Food insecurity resulting from nutrient degradation and microbial contamination during storage is indeed a significant challenge for the food industry. This study was conducted to optimize the utilization of natural additives, such as onion bulb peel oil (OPO), plantain peel oil (PPO), onion peel extract (OPE), and plantain peel extract (PPE), in enhancing meat quality and inhibit microbial growth in beef during storage. The hybridized effect of these process variables&#x2013;treatment concentration and storage time, on the microbial reproductively and toxins production was comprehensively explored. The experimental outcomes revealed that the plant extracts (OPE and PPE), effectively slowed down nutrients degradation during storage; while the essential oils (OPO and PPO) demonstrated strong efficacy in inhibiting pathogens survival. The findings confirmed that moisture content significantly promotes microbial survival. The survival of aflatoxins, <italic>Staphylococcus aureus,</italic> and <italic>Salmonella</italic> spp. was negatively affected by OPO and PPO, when applied at a concentration of 1% (w/w). Precisely, the optimization program successfully pinpoints the treatments options, which are the most suitable for meat preservation, with minimum spoilage possibilities. It was noted that T9 had the best microbial inhibition potential; while the T1 to T3 samples were vulnerable to microbial infestation, and aflatoxins production. Furthermore, the predictive modeling analysis established the optimal of EOs and extracts concentrations for maximal stabilizing efficiency. Notably, this study outcome emphasizes that EOs and extracts derived from agricultural by-products, instead of the edible parts can be effectively used to preserve meat integrity during storage, thereby conserving the public health safety and enhancing human performance.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec32">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec33">
<title>Author contributions</title>
<p>SA: Methodology, Software, Writing &#x2013; original draft. RS: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing. HU: Data curation, Methodology, Writing &#x2013; review &#x0026; editing. RB: Methodology, Supervision, Writing &#x2013; review &#x0026; editing. AMA: Investigation, Methodology, Writing &#x2013; original draft. SuAA: Formal Analysis, Methodology, Writing &#x2013; review &#x0026; editing. RK: Methodology, Software, Writing &#x2013; original draft. BA: Investigation, Methodology, Writing &#x2013; original draft. EA: Methodology, Resources, Writing &#x2013; review &#x0026; editing. AAA: Data curation, Methodology, Writing &#x2013; review &#x0026; editing. SSA: Methodology, Supervision, Writing &#x2013; original draft. SaAA: Investigation, Methodology, Writing &#x2013; original draft. DA: Methodology, Project administration, Writing &#x2013; review &#x0026; editing. FA: Methodology, Software, Writing &#x2013; original draft. AB: Investigation, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec34">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Taif University, Saudi Arabia, Project No. (TU-DSPP-2024-10).</p>
</sec>
<ack>
<p>The authors extend their appreciation to Taif University, Saudi Arabia, for supporting this work through project number (TU-DSPP-2024-10).</p>
</ack>
<sec sec-type="COI-statement" id="sec35">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec98">
<title>Correction note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p>
</sec>
<sec sec-type="disclaimer" id="sec36">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec16a">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fsufs.2025.1626489/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fsufs.2025.1626489/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementary_file_1.doc" id="SM1" mimetype="application/vnd.ms-word" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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