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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1263813</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Remediation of wastewater by biosynthesized manganese oxide nanoparticles and its effects on development of wheat seedlings</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ishfaq</surname>
<given-names>Aneeza</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Shahid</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<name>
<surname>Nawaz</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<name>
<surname>Ibrar</surname>
<given-names>Danish</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Hussain</surname>
<given-names>Sabir</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Shahzad</surname>
<given-names>Tanvir</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mahmood</surname>
<given-names>Faisal</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author">
<name>
<surname>Rais</surname>
<given-names>Afroz</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Gul</surname>
<given-names>Safia</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Gaafar</surname>
<given-names>Abdel-Rhman Z.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Hodhod</surname>
<given-names>Mohamed S.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Khan</surname>
<given-names>Shahbaz</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Environmental Sciences &amp; Engineering, Government College University</institution>, <addr-line>Faisalabad</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Bioinformatics &amp; Biotechnology, Government College University</institution>, <addr-line>Faisalabad</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology</institution>, <addr-line>Rahim Yar Khan</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Crop Science Institute, National Agricultural Research Centre</institution>, <addr-line>Islamabad</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Botany, Sardar Bahadur Khan Women&#x2019;s University</institution>, <addr-line>Quetta</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Botany and Microbiology, College of Science, King Saud University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Faculty of Biotechnology, October University for Modern Sciences &amp; Arts</institution>, <addr-line>6th October</addr-line>, <country>Egypt</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Colorado Water Center, Colorado State University</institution>, <addr-line>Fort Collins, CO</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mustafa Yildiz, Ankara University, T&#xfc;rkiye</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: M. Mizanur Rahman, Islamic University, Bangladesh; Ghazala Mustafa, Quaid-i-Azam University, Pakistan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Faisal Mahmood, <email xlink:href="mailto:faisalmahmood@gcuf.edu.pk">faisalmahmood@gcuf.edu.pk</email>; Shahbaz Khan, <email xlink:href="mailto:shahbaz.khan@colostate.edu">shahbaz.khan@colostate.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Shahbaz Khan, <uri xlink:href="https://orcid.org/0000-0002-4524-9630">orcid.org/0000-0002-4524-9630</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1263813</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Ishfaq, Shahid, Nawaz, Ibrar, Hussain, Shahzad, Mahmood, Rais, Gul, Gaafar, Hodhod and Khan</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ishfaq, Shahid, Nawaz, Ibrar, Hussain, Shahzad, Mahmood, Rais, Gul, Gaafar, Hodhod and Khan</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>
<sec>
<title>Introduction</title>
<p>Nanoparticles play a vital role in environmental remediation on a&#xa0;global scale. In recent years, there has been an increasing demand to utilize&#xa0;nanoparticles in wastewater treatment due to their remarkable physiochemical properties.</p>
</sec>
<sec>
<title>Methods</title>
<p>In the current study, manganese oxide nanoparticles (MnO-NPs) were synthesized from the <italic>Bacillus flexus</italic> strain and characterized by UV/Vis spectroscopy, X-ray diffraction, scanning electron microscopy, and Fourier transform infrared spectroscopy.</p>
</sec>
<sec>
<title>Results</title>
<p>The objective of this study was to evaluate the potential of biosynthesized MnO-NPs to treat wastewater. Results showed the photocatalytic degradation and adsorption potential of MnO-NPs for chemical oxygen demand, sulfate, and phosphate were 79%, 64%, and 64.5%, respectively, depicting the potential of MnO-NPs to effectively reduce pollutants in wastewater. The treated wastewater was further utilized for the cultivation of wheat seedlings through a pot experiment. It was observed that the application of treated wastewater showed a significant increase in growth, physiological, and antioxidant attributes. However, the application of treated wastewater led to a significant decrease in oxidative stress by 40%.</p>
</sec>
<sec>
<title>Discussion</title>
<p>It can be concluded that the application of MnO-NPs is a promising choice to treat wastewater as it has the potential to enhance the growth, physiological, and antioxidant activities of wheat seedlings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>microbial synthesis</kwd>
<kwd>photocatalytic degradation</kwd>
<kwd>antioxidants activities</kwd>
<kwd>wastewater treatment</kwd>
<kwd>crop cultivation</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="6"/>
<ref-count count="88"/>
<page-count count="15"/>
<word-count count="6812"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Nanotechnology, the broad discipline of the twenty-first century, has a remarkable influence on global economic success and the commercial sector. Utilization of nanotechnology is increasing day by day in the agriculture field, which involves cultivation, harvesting, processing, storage, packaging, and transportation of agricultural products. Nano-techniques have shown significant potential to improve food quality and agriculture products (<xref ref-type="bibr" rid="B60">Noman et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B55">Kaushik, 2021</xref>). A nanoparticle is a small particle that ranges from 1 to 100 nanometers in size with distinctive physical and chemical properties (<xref ref-type="bibr" rid="B53">Korbekandi et&#xa0;al., 2012</xref>). The nanoparticles, owing to the unique features, have gained the attention of scientists for use in different fields of life (<xref ref-type="bibr" rid="B41">Islam et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B67">Sharma et&#xa0;al., 2019</xref>), including medicine, wastewater treatment, agriculture, energy products, and the remediation of different environmental pollutants (<xref ref-type="bibr" rid="B25">Duhan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B71">Singh et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B60">Noman et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B86">Zhang et&#xa0;al., 2020</xref>). For the treatment of wastewater, a range of techniques have been employed, including nanotechnology. Nano-photocatalytic technology has received a lot of attention in the field of water pollution prevention.</p>
<p>Various techniques, including physical, chemical, and biological, are considered for the synthesis of nanoparticles. Physical and chemical methods demand difficult conditions like high temperature and pressure, very costly equipment, large space to set up large machinery, and the use of toxic chemicals (<xref ref-type="bibr" rid="B37">Hoseinpour and Ghaemi, 2018</xref>). Numerous chemical and physical techniques use toxic substances that can have adverse effects on the environment. Consequently, there is a dire need to explore environmentally friendly and sustainable approaches. Researchers are investigating the potential of various biological entities, such as bacteria, fungi, higher plants, actinomycetes, and viruses, for the synthesis of nanoparticles (<xref ref-type="bibr" rid="B1">Agrawal et&#xa0;al., 2022</xref>). However, biological methods to synthesize nanoparticles are getting popularity as they are cost-effective and environmentally friendly (<xref ref-type="bibr" rid="B15">Castro et&#xa0;al., 2014</xref>). Numerous bacterial and fungal strains are recognized for their ability to synthesize nanoparticles. Bacteria, with their distinctive quality of metal reduction, play a vital role in the synthesis of nanoparticles. Their resistance to acute environmental conditions, including high temperature and pressure, makes them well-suited for the synthesis of nanoparticles (<xref ref-type="bibr" rid="B21">Das et&#xa0;al., 2014</xref>). Different microbial strains, such as <italic>Pseudomonas stutzeri, Morganella</italic> sp, <italic>Plectonema boryanum</italic>, <italic>Thermomonospora</italic> sp, <italic>Rhodococcus</italic> sp, and <italic>Pseudomonas aeruginosa</italic>, have been effectively employed in the biosynthesis of nanoparticles (<xref ref-type="bibr" rid="B74">Thakkar et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B40">Idris and Yuliar, 2022</xref>).</p>
<p>Micronutrients are required in very small quantities by the plant and can affect indirectly or directly photosynthesis and play a vital role in plant protein synthesis, respiration, and the reproductive system. Manganese (Mn) is a micronutrient that plays a crucial role in various plant functions, including respiration and photosynthesis. Nanoscale Mn is reported to be less effective in inhibiting plant growth physiological processes and more efficient at reducing abiotic stressors in plants than traditional bulk or ionic Mn molecules (<xref ref-type="bibr" rid="B82">Ye et&#xa0;al., 2019</xref>). Manganese nanoparticles are widely used in industry for a variety of purposes, including supercapacitors, catalysis, biosensors, ion sieves, molecular adsorption, high-density magnetic storage media, batteries, drug delivery systems, and magnetic resonance imaging (<xref ref-type="bibr" rid="B8">Aronson et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B6">Ammundsen and Paulsen, 2001</xref>). In recent studies, manganese oxide nanomaterials even outperformed MCM-22 and red mud in terms of their ability to adsorb a methylene blue dye (<xref ref-type="bibr" rid="B17">Chen and He, 2008</xref>). Furthermore, it was further shown that a hierarchical MnO<sub>2</sub>-coated magnetic nanostructure displayed a significantly greater capacity for adsorption than pure magnetic nanoparticles (<xref ref-type="bibr" rid="B52">Kim et&#xa0;al., 2013</xref>).</p>
<p>Due to the limited availability of water sources in developing countries, wastewater is being used for agriculture near fields around industrial premises for growing vegetable crops (<xref ref-type="bibr" rid="B64">Roy and Edwards, 2019</xref>). Emerging pollutants like pesticides, chemical fertilizers, and other chemical substances such as dyes (<xref ref-type="bibr" rid="B13">Benkhaya et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B72">Slama et&#xa0;al., 2021</xref>), heavy metals (<xref ref-type="bibr" rid="B26">Engwa et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B70">Shrestha et&#xa0;al., 2021</xref>), hormones, beauty products, detergents, and drugs enter water supply systems and can either directly or indirectly damage human health. However, the presence of potentially hazardous substances (PTEs) is the primary issue with wastewater used for the irrigation of crops. The accumulation of PTEs in the soil and crops caused by wastewater irrigation had negative impacts not only on soil fertility but also on human beings (<xref ref-type="bibr" rid="B63">Qadir et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B9">Azimi et&#xa0;al., 2017</xref>). When plants are irrigated with wastewater, the elevated concentrations of sulfate and phosphate lead to accumulation within the plants. Plants require an optimal balance of nutrients, including nitrate, sulfate, and phosphate. The heightened levels cause a nutritional imbalance and disrupt the plant metabolism (<xref ref-type="bibr" rid="B10">Banon et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B78">Wardah et&#xa0;al., 2022</xref>). Agriculture serves as the foundation of the economy and is widely recognized as the primary source of income for rural people. According to Agricultural Organizations and Food organizations, the overall population of the world would increase by 9 to 10 billion by the year 2050 (<xref ref-type="bibr" rid="B43">Jaramillo and Restrepo, 2017</xref>). There is a need to increase food productivity by 25% to 70% to feed the growing population. Wheat (<italic>Triticum aestivum L</italic>.) is a staple food in many countries including, Pakistan, and an important part of the diet. One-third of the world&#x2019;s population gets their nutritional needs met through wheat, which also has more nutritional value than other cereals.</p>
<p>According to our observation and knowledge, many studies were mentioned before synthesizing MnO-NPs from plants and chemically checking their potential for wastewater treatment, but not a single study on the production of manganese nanoparticles from <italic>Bacillus flexus</italic> and then application to wastewater treatment. Similarly, using <italic>B. flexus</italic> to produce MnO-NPs and then applying them to wastewater might be a new biosource. Based on the above-mentioned findings, we hypothesized that biosynthesized MnO-NPs may have a beneficial potential to remove contaminants from wastewater. In the current study, the synthesis of MnO-NPs was accomplished using pre-isolated <italic>B. flexus</italic> to treat the wastewater. Furthermore, the treated wastewater was applied to wheat seedlings to explore the potential of treated wastewater for agricultural purposes. In addition, the performance of wheat seedlings regarding physical growth, and physiochemical parameters were also studied under the impact of untreated and treated wastewater, and distilled water as irrigational water.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Biosynthesis of manganese oxide nanoparticles by <italic>B. flexus</italic>
</title>
<p>Pre-isolated and identified bacterial strain of <italic>B. flexus</italic> was obtained from Environmental Microbiology Laboratory, Department of Environmental Sciences, Government College University Faisalabad, Pakistan. Manganese oxide nanoparticles (MnO-NPs) were synthesized by using the strain of <italic>B. flexus</italic> at 10mM concentration of manganese dichloride tetrahydrate (MnCl2.4H2O) salt (Sigma-Aldrich CAS number: 13446-34-9) according to the methodology developed by <xref ref-type="bibr" rid="B79">Wright et al. (2016)</xref>. The bacterial strain was inoculated in 100mL of nutrient broth and then placed in an orbital rotary shaker at 120rpm (28&#xb0;C) for 24 hours. After 24 hours of rotation, 0.1 Mm of manganese chloride was added to the culture which changed color from yellow to dark brown. The culture was again placed for the further 24 hours in a rotary shaker and the pallet was collected by centrifuging at 700 rpm for 10 minutes. The resulting pellet was kept in the oven for 24 hours to get a fine dry powder of MnO-NPs. A schematic protocol for biologically synthesizing MnO-NPs and their application on wheat seedlings is presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A schematic diagram for biologically synthesizing of manganese oxide nanoparticles (MnO-NPs) and their application on wheat seedlings.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Characterizations of manganese oxide nanoparticles</title>
<p>The morphology of MnO-NPs was determined by the scanning electron microscope (SEM LEO 1530, Germany) by following the procedure of <xref ref-type="bibr" rid="B75">Vlad&#xe1;r and Hodoroaba (2020)</xref>. The crystalline structure of manganese oxide nanoparticles was examined by X-ray diffraction (XRD) analysis (PANalytic X PERTPRO, USA) in 20-80&#xb0;C (2&#x3b8;), 45KV. The formation of manganese nanoparticles was determined by using a double-beam UV-VIS spectrophotometer (UH 5300, Hitachi Japan) at 300-500 nm ranges. The functional groups and associated proteins were determined by using a Fourier transmission electron microscope (FTIR-Bruker TENSOR-27) by adopting the procedure of <xref ref-type="bibr" rid="B11">Baraton and Merhari (2007)</xref>. FTIR analysis was performed on the fine powder for MnO-NPs of bacterial strains at a scanning frequency of 32 with a range of 350-4000 cm<sup>-1</sup>.</p>
</sec>
<sec id="s2_3">
<title>Application of manganese oxide nanoparticles to treat wastewater</title>
<sec id="s2_3_1">
<title>Sample collection and treatment of the wastewater</title>
<p>The wastewater samples were collected in sterilized bottles from the drain originated from industrial state, Mohalla Tahir, Jhang Road, Faisalabad, Pakistan. Collected samples were transferred to the Environmental Microbiology Laboratory, Department of Environmental Sciences, Government College University Faisalabad, Pakistan, for further analysis. Wastewater samples were centrifuged to remove particulate matter. To check the photocatalytic degradation and adsorption potential, 1&#xa0;g of MnO-NPs were added in 1000&#xa0;ml of wastewater. Three replicates of the sample were vortexed and incubated under sunlight with their respective controls. After 7 hours of incubation, the samples were centrifuged at 9000 rpm for 10 minutes to remove the suspended nanoparticles. The pH, EC, COD, sulfates, phosphates, and color intensity were determined before and after wastewater treatment by following the procedure of <xref ref-type="bibr" rid="B22">De Feo and Ferrara (2017)</xref>.</p>
</sec>
</sec>
<sec id="s2_4">
<title>Application of untreated and treated wastewater on wheat seedlings</title>
<sec id="s2_4_1">
<title>Experimental location and crop husbandry</title>
<p>A pot experiment was conducted to explore the impact of treated and untreated wastewater on the wheat (cultivar Akbar-2019) crop during season 2022-2023 in the Department of Environment Sciences, Government College University Faisalabad, Pakistan (31.4&#xb0;N, 73.06&#xb0;E). Fresh seeds of wheat (<italic>Triticum aestivum</italic> L.) were collected from the Ayub Agriculture Research Institute, Faisalabad, Pakistan. The seeds of wheat were washed with distilled water and sterilized five times with 5% of sodium hypochlorite solution. Seeds were then air-dried at room temperature. Rhizosphere soil, 0-15&#xa0;cm, was taken in triplicate with the augur from Ayub Agricultural Research Institute, Faisalabad, Pakistan. Soil samples were taken randomly throughout the agriculture field and stored in polythene bags. Each soil sample was mixed thoroughly to get uniform composite samples of homogenous nature having organic matter, pH, and EC of 0.72%, 2.7, and 7.8 dS m<sup>-1</sup>, respectively. The concentrations of nitrogen, phosphorus and potassium in the soil were 0.64%, 11.7 ppm and 158 ppm, respectively.</p>
<p>The experiment was laid down in a completely randomized design (CRD) with three replications. Each pot was filled with 1&#xa0;kg of soil and 8 seeds of wheat were sown in each pot. The treatments, wastewater, treated wastewater, and distilled water, were applied at sowing time and once a week for a period of 30 days. In total, 50&#xa0;ml of water, encompassing all treatments, were utilized over the course of experimentation. After the germination of seeds, Hoagland nutrient solution was given to each pot and the germination rate was observed at days three, six, and nine. By the completion of germination, after every two days modified half-strength Hoagland&#x2019;s nutrient solution (<xref ref-type="bibr" rid="B35">Hoagland and Arnon, 1950</xref>) was used to irrigate the pots throughout the experiment. Hoagland solution was provided as an alternative to fertilizer to ensure consistent nutrient availability, enhancing experimental reproducibility, and minimizing variability due to nutrient deficiencies.</p>
<p>After 30 days of plantation, the plants were harvested. Plant samples were cleaned with deionized water to remove aerial deposits. The shoots and roots of the plants were separated. The fresh weights of the harvested shoots and roots were recorded. These samples were then stored in falcon tubes at 4&#xb0;C in a refrigerator for further analysis.</p>
</sec>
</sec>
<sec id="s2_5">
<title>Determination of growth parameters</title>
<p>The physical growth parameters of shoot length, root length, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, and germination rate of plants were determined by using the methodology given by <xref ref-type="bibr" rid="B60">Noman et&#xa0;al. (2020)</xref>. The ratio of germinated seeds to the overall number of seeds in the pot was used to measure the germination rate. When a radical sprout 1&#xa0;mm in length emerged from the seed, the seeds were considered germinated. The following equation was used to calculate the germination rate.</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>Seed&#xa0;Gemination</mml:mtext>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mtext>Number&#xa0;of&#xa0;germinated&#xa0;seeds</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>Total&#xa0;number&#xa0;of&#xa0;seeds</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_6">
<title>Photosynthetic pigments analysis</title>
<p>Using the <xref ref-type="bibr" rid="B7">Arnon (1949)</xref> method, 0.1g fresh wheat leaves were ground in a mortar pestle using an ice tub to avoid degradation of plant leaves into 80% acetone (80ml acetone + 20ml D.w) and were kept overnight at -4&#xb0;C in the refrigerator. The enzyme extract was then centrifuged at 10000 RPM for 10 minutes. The spectrophotometer was used to measure the absorbance of the supernatant at three different wavelengths: 645, 480, and 663 nm. The chlorophyll content was determined as mg g-1 FW. The amount of chlorophyll and carotenoid was determined by using the following formula.</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>Total&#xa0;Chlorophyll</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:mn>20.2</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>8.02</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>V</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mn>10000</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>W</mml:mtext>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>Chlorophyll&#x2004;</mml:mtext>
<mml:mi>a</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:mn>12.7</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2.69</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>V</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mn>10000</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>W</mml:mtext>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>Chlorophyll&#x2004;</mml:mtext>
<mml:mi>b</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:mn>22.9</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4.68</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>V</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mn>10000</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>W</mml:mtext>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mtext>Carotenoids</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>480</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mn>0.114</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.638</mml:mn>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo stretchy="false">]</mml:mo>
<mml:mo stretchy="false">/</mml:mo>
<mml:mn>2500</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where,</p>
<p>OD = Optical density, V = volume of extract (ml), and W = weight of fresh leave (g)</p>
</sec>
<sec id="s2_7">
<title>Determination of mineral elements</title>
<p>To determine the concentrations of nutrient elements like Zn, Fe, Mn, and Cu in plants roots and shoots, the plant root and shoot dry biomass of 0.5&#xa0;g was placed into a flask, and then concentrated acids (HClO4-HNO3) were added in a 1:3 ratio. The mixture was allowed to keep for 24 hours. Subsequently, the solution was subjected to digestion on a hot plate, heating it until it became colorless. Deionized water was added to bring the total volume to 50&#xa0;ml. A control solution without a sample was maintained to ensure the accuracy of the sample results. The Zn, Fe, Mn, and Cu concentrations were determined using atomic absorption spectroscopy (Hitachi, Model 7JO-8024; Tokyo, Japan) (<xref ref-type="bibr" rid="B14">Bhat et&#xa0;al., 2010</xref>).</p>
</sec>
<sec id="s2_8">
<title>Determination of oxidative stress markers and antioxidants</title>
<sec id="s2_8_1">
<title>Malondialdehyde</title>
<p>For the estimation of malondialdehyde (MDA), the method of <xref ref-type="bibr" rid="B83">Young and Trimble (1991)</xref> was followed. To measure the amount of lipid peroxidation of fresh leaf samples, the thiobarbituric acid (TBA) assay was used. 0.1&#xa0;g of the plant&#x2019;s fresh leaf was powdered in 5 mL of 5% (w/v) TCA (trichloroacetic acid). The extract was then centrifuged for 10 minutes at 12000 x g. Thiobarbituric acid (TBA) 0.5% (W/v) in 20% TCA was pipetted into 4 mL of supernatant (trichloroacetic acid). The resulting mixture is then cooled inside an ice bath at 95&#xb0;C for 30 minutes. The solution was then vortexed for 5 minutes and then measured the absorbance of the mixture at two wavelengths of 532 and 600 nm.</p>
</sec>
<sec id="s2_8_2">
<title>Hydrogen peroxide</title>
<p>
<xref ref-type="bibr" rid="B39">Hyslop et&#xa0;al. (1995)</xref> technique was used to calculate the hydrogen peroxide (H<sub>2</sub>O<sub>2)</sub> concentration of a sample. The 5&#xa0;ml of 0.1 percent (w/v) trichloroacetic acid was added to a 0.1&#xa0;g fresh plant sample in the ice tub for grinding. 1&#xa0;ml of KI was added into 0.5&#xa0;ml of potassium phosphate buffer and then 0.5&#xa0;ml of supernatant was added, and the sample was centrifuged. After the centrifugation, the sample was left for 10 minutes at room&#xa0;temperature. The absorbance was recorded at 390 nm by using a spectrophotometer. The H<sub>2</sub>O<sub>2</sub> content was determined by using a comparison with the standard curve and distinctive H<sub>2</sub>O<sub>2</sub> concentrations.</p>
</sec>
<sec id="s2_8_3">
<title>Ascorbate peroxidase</title>
<p>For the estimation of ascorbate peroxidase activity in wheat plants, the method given by <xref ref-type="bibr" rid="B5">Amako et&#xa0;al. (1994)</xref> was followed. 1&#xa0;ml reaction mixture consisting of 50 mM phosphate buffer (pH 7.6), 0.1 mM Na-EDTA, 12 mM H<sub>2</sub>O<sub>2</sub>, and 0.25 mM ascorbic acid was mixed thoroughly. The test tubes were covered with aluminum foil to prevent light. A spectrophotometer was used to measure the absorbance of this solution at a wavelength of 290nm after every 20 seconds.</p>
</sec>
<sec id="s2_8_4">
<title>Catalase and peroxidase</title>
<p>The method described by <xref ref-type="bibr" rid="B16">Chance and Maehly (1955)</xref> and <xref ref-type="bibr" rid="B18">Cohen et&#xa0;al. (1996)</xref> was used to determine catalase (CAT) and peroxidase (POD) activities. By following this method, a 3&#xa0;ml reaction mixture including 50 mM phosphate buffer (pH 7), and 0.1 mL pure enzyme extract, with 5.9 mM H<sub>2</sub>O<sub>2</sub> was prepared. The standard CAT activity was calculated as an absorption shift of 0.01 unit over one minute. Enzyme extract was added to start the reaction and the mixture absorbance was calculated every 20 seconds and changes in the measurement at a frequency of 240 nm were noted. POD was measured using a reaction mixture of 3 mL (20 mM guaiacol, 50 mM phosphate buffer of pH 5, 50 mM H<sub>2</sub>O<sub>2</sub>, and 0.1 mL enzyme extract fresh leaves extract). The absorbance was measured at 470 nanometers of wavelength.</p>
</sec>
<sec id="s2_8_5">
<title>Superoxide dismutase</title>
<p>For the estimation of superoxide dismutase (SOD), the methodology of <xref ref-type="bibr" rid="B12">Beauchamp and Fridovich (1971)</xref> was adopted. For this purpose, a 3ml reaction solution was prepared by adding (50 &#xb5;l riboflavin, 50 &#xb5;l nitro blue tetrazolium (NBT), 100 &#xb5;l L-methionine, 50 &#xb5;l enzyme extract, 100 &#xb5;l triton-X, 400 &#xb5;l H<sub>2</sub>O, and 250 &#xb5;l). After mixing, the reaction mixture was added into a test tube. These test tubes were exposed to light for 10-15 minutes. At the wavelength of 560 nm, the absorbance of this solution was recorded using a spectrophotometer.</p>
</sec>
</sec>
<sec id="s2_9">
<title>Statistical analysis</title>
<p>A statistical package &#x201c;Statistix 8.1&#x201d; was used to analyze the collected data of various parameters. The trail was conducted under a complete randomized design (CRD) arrangement. One-way ANOVA (analysis of variance) was to observe the significance of treatment through t-test. Fisher&#x2019;s least significant difference test, with a <italic>p</italic> &#x2264; 0.05, was used to compare the treatments&#x2019; means.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characterization of manganese oxide nanoparticles</title>
<sec id="s3_1_1">
<title>Ultraviolet-visible spectrophotometer analysis</title>
<p>The culture of <italic>B. flexus</italic> was incubated at optimum conditions, i.e., at 28&#xb0;C for 24 hours after the addition of 10 mM MnCl salt solution. After 24-hour incubation, it was observed that the color of the reaction mixture was changed from light yellow to dark brown. A small quantity of the reaction mixture was subjected to an ultraviolet-visible spectrophotometer. <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> depicts a peak at 325.23 nm which is an indication of the biosynthesis of MnO-NPs. The UV spectroscopy ranges for manganese oxide nanoparticles typically span from approximately 200 to 400 nanometers (nm). Redshift peak shifts shorter that showed small size of nanoparticles.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The UV-visible spectroscopy of biosynthesized manganese nanoparticles using <italic>Bacillus flexus</italic>. The blue line indicates the source salt utilized in the nanoparticle synthesis process. Red line highlights the presence of nanoparticles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_2">
<title>X-ray diffraction analysis</title>
<p>The X-ray diffraction pattern indicates the crystalline nature of the nanoparticles. The analysis using MnO-NPs from strain <italic>B. flexus</italic> showed a peak position of 2&#x3b8; ranging from 10&#x3b8; to 70&#x3b8; at 22.79&#xb0;, 27.79&#xb0;, 38.20&#xb0;, 42.90&#xb0;, 55.10&#xb0;, and 64.50&#xb0;, which were assigned to the (101), (201), (210), (211), (212) and (511). These peaks were according to the data of the standard diffraction value of MnO-NPs (JCPDS # 39-0375) indicating the crystalline nature of nanoparticles using the Debye-Sherer&#x2019;s equation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>X-ray diffraction (XRD) pattern of biosynthesized manganese nanoparticles (MnO-NPs) produced by <italic>Bacillus flexus</italic>: Characterizing crystal structure and composition.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g003.tif"/>
</fig>
<disp-formula>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mtext>D</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>K</mml:mtext>
<mml:mi>&#x3bb;</mml:mi>
<mml:mo stretchy="false">/</mml:mo>
<mml:mi>&#x3b2;</mml:mi>
<mml:mi>cos</mml:mi>
<mml:mi>&#x3b8;</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where,</p>
<p>D = size of the crystallite, k = shape factor, &#x3bb; = wavelength of radiation.</p>
<p>The average crystallite size in the samples using Scherrer&#x2019;s equation was less 41 nm for MnO nanoparticles.</p>
</sec>
<sec id="s3_3">
<title>Scanning electron microscopy</title>
<p>Scanning electron microscopy (SEM) analysis provides the details about the surface morphology of MnO-NPs biosynthesized from bacterial strains of <italic>B. flexus</italic>. From the SEM micrograph, at different magnification scales ranging from 1000X-50,000X, the SEM images of MnO-NPs were collected and analyzed. The resulting data showed that the size of the nanoparticle ranged from 21-30 nm. Furthermore, agglomeration is also observed between the large-size particles, which indicates that different capping proteins and structures were required to stabilize the small-size particles. The SEM data of biogenic MnO-NPs from <italic>B. flexus</italic> is shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Scanning electron microscopy (SEM) images of biosynthesized manganese nanoparticles at various magnifications: <bold>(A)</bold> (at 0.5 micrometers), <bold>(B)</bold> (at 1 micrometer), <bold>(C)</bold> (at 1 micrometer), <bold>(D)</bold> (at 5 micrometers), <bold>(E)</bold> (at 10 micrometers).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Fourier-transform infrared spectroscopy</title>
<p>The Fourier-transform infrared spectroscopy (FTIR) analysis investigates the surface characteristics of biosynthesized MnO-NPs. The surface characteristics of biogenic manganese nanoparticles were explored by FTIR analysis in the wave ranging from 350-4000 cm<sup>-1</sup> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The presence of bands at 401.21 showed the probability of the presence of MnO. The FTIR spectra of MnO-NPs produced from <italic>B. flexus</italic> showed absorption peaks at 401.21, 582.07, 724.78, 860.35, 1045.95, 1230.24, 1403.29, 1532.05, 1646.97, 1725.41, 2925.46, 2958.31 and 3397.55 cm<sup>-1</sup>. The strongest peak at 3397.55 cm<sup>-1</sup> was observed due to the broad bonded N-H/O-H stretching group of alcohol and amine. The peaks at 1725.41 cm<sup>-1</sup> and 1532.05 cm<sup>-1</sup> represented the C-O group of aldehydes and N-O stretching group of nitro compounds, respectively. The peaks at 1230.24 cm<sup>-1</sup> were due to the C-O group of ether stretching.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Fourier-transform infrared spectroscopy (FTIR) spectrum of biosynthesized manganese nanoparticles using <italic>Bacillus flexus</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Wastewater treatment by manganese oxide nanoparticles</title>
<p>The analysis of untreated wastewater revealed the values of pH and EC, the concentrations of COD TDS, sulfates and phosphates that exceeded the permissible limits set by the Environmental Protection Agency (EPA). These parameters were found to be significantly higher than the regulatory thresholds established by the EPA. Overall, the concentrations of all these indicators were significantly decreased in the industrial effluents, which were treated with MnO-NPs. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the parameter values before and after treatments with MnO-NPs.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Pollutants reduction in industrial wastewater by MnO-NPs and comparison with National Environmental Quality Standards (NEQS).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameters</th>
<th valign="middle" align="center">Wastewater</th>
<th valign="middle" align="center">Treated wastewater</th>
<th valign="middle" align="center">Removal %</th>
<th valign="middle" align="center">NEQS limits</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Color Removal</td>
<td valign="middle" align="center">0.13 &#xb1; 0.002</td>
<td valign="middle" align="center">0.03 &#xb1; 0.004</td>
<td valign="middle" align="center">77.05</td>
<td valign="middle" align="center">NG</td>
</tr>
<tr>
<td valign="middle" align="left">EC (dSm<sup>-1</sup>)</td>
<td valign="middle" align="center">5.33 &#xb1; 0.20</td>
<td valign="middle" align="center">3 &#xb1; 0.60</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">NG</td>
</tr>
<tr>
<td valign="middle" align="left">pH</td>
<td valign="middle" align="center">8.7 &#xb1; 0.11</td>
<td valign="middle" align="center">7.3 &#xb1; 0.05</td>
<td valign="middle" align="center">&#x2014;&#x2013;</td>
<td valign="middle" align="center">6.5-8.5</td>
</tr>
<tr>
<td valign="middle" align="left">COD (mg L<sup>-1</sup>)</td>
<td valign="middle" align="center">378 &#xb1; 3.8</td>
<td valign="middle" align="center">78 &#xb1; 0.46</td>
<td valign="middle" align="center">79</td>
<td valign="middle" align="center">200</td>
</tr>
<tr>
<td valign="middle" align="left">TDS (mg L<sup>-1</sup>)</td>
<td valign="middle" align="center">3417 &#xb1; 5.7</td>
<td valign="middle" align="center">2147 &#xb1; 45</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">1000</td>
</tr>
<tr>
<td valign="middle" align="left">Sulfates (ppm)</td>
<td valign="middle" align="center">767 &#xb1; 17</td>
<td valign="middle" align="center">275 &#xb1; 32</td>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center">500</td>
</tr>
<tr>
<td valign="middle" align="left">Phosphates (ppm)</td>
<td valign="middle" align="center">354 &#xb1; 3.84</td>
<td valign="middle" align="center">125 &#xb1; 36</td>
<td valign="middle" align="center">64.5</td>
<td valign="middle" align="center">NG</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Each value presented is the average of three replicates, accompanied by the standards deviation. It is important to note that NEQS of Pakistan government the permissible limits for industrial effluents discharge.</p>
</fn>
<fn>
<p>NEQS, National Environmental Quality Standards; EC, Electrical conductivity; COD, chemical oxygen demand; TDS, total dissolved solids; NG, not given.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Seedlings growth attributes</title>
<p>The growth parameters of the wheat seedlings increased significantly (<italic>p &#x2264;</italic> 0.05) in treated wastewater as compared to untreated wastewater shown in <xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7</bold>
</xref>. The germination rate in wheat increased by 40% in treated wastewater treatment in comparison with untreated wastewater. On day six, germination rate increase was 16.6% in treated wastewater treatment in comparison with untreated wastewater (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). On day nine, the germination rate increased by 14.6% in treated wastewater in comparison with untreated wastewater treatment. Moreover, plants showed a significant increase in root and shoot length of 48% and 33% in treated wastewater, while a slight increase of 23% and 15% was recorded when compared to distilled water as compared to treated wastewater. According to statistical analysis, the fresh and dry shoot weights were increased by 42% and 26% respectively in treated wastewater as compared to untreated wastewater; however, these parameters recorded an 8% and 13% increase in distilled water as compared to treated wastewater. Similarly, fresh root and dry root weights were increased by 37% and 19% respectively in treated wastewater as compared to untreated; however, these parameters recorded a 13% and 9.6% increase in distilled water (control) as compared to treated wastewater (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Impact of wastewater, treated wastewater, and distilled water on germination percentage at 3, 6 and 9 days after sowing of wheat seeds. The bars with different letters indicate significant differences from each other (<italic>p</italic>&lt;0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Impact of wastewater, treated wastewater, and distilled water on shoot length <bold>(A)</bold>, root length <bold>(B)</bold>, shoot fresh weight <bold>(C)</bold>, root fresh weight <bold>(D)</bold>, shoot dry weight <bold>(E)</bold>, and root dry weight <bold>(F)</bold> of wheat seedlings. The bars with different letters indicate significant differences from each other (<italic>p</italic>&lt;0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g007.tif"/>
</fig>
</sec>
<sec id="s3_7">
<title>Minerals elements</title>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> showed the variations in mineral concentration in root and shoot of seedlings under wastewater, treated wastewater and distilled water. Zn and Mn uptake was notably higher in wheat seedling irrigated with treated wastewater compared to distilled water. Similarly, Cu and Fe uptake was notably higher in the wheat seedling irrigated with wastewater compared to distilled water.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Impact of wastewater, treated wastewater, and distilled water on nutrient accumulation in root and shoot of wheat seedlings (n = 3).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Treatments</th>
<th valign="middle" colspan="2" align="center">Zn (mg g<sup>-1</sup>)</th>
<th valign="middle" colspan="2" align="center">Fe (mg g<sup>-1</sup>)</th>
<th valign="middle" colspan="2" align="center">Mn (mg g<sup>-1</sup>)</th>
<th valign="top" colspan="2" align="center">Cu (mg g<sup>-1</sup>)</th>
</tr>
<tr>
<th valign="middle" align="center">Root</th>
<th valign="middle" align="center">Shoot</th>
<th valign="middle" align="center">Root</th>
<th valign="middle" align="center">Shoot</th>
<th valign="middle" align="center">Root</th>
<th valign="middle" align="center">Shoot</th>
<th valign="middle" align="center">Root</th>
<th valign="middle" align="center">Shoot</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Wastewater</td>
<td valign="middle" align="center">71.67 <sup>a</sup>
</td>
<td valign="middle" align="center">69.00 <sup>a</sup>
</td>
<td valign="middle" align="center">37.33 <sup>a</sup>
</td>
<td valign="middle" align="center">36.00 <sup>a</sup>
</td>
<td valign="middle" align="center">53.33 <sup>b</sup>
</td>
<td valign="middle" align="center">52.33 <sup>b</sup>
</td>
<td valign="middle" align="center">21.33 <sup>a</sup>
</td>
<td valign="middle" align="center">18.67 <sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Treated wastewater</td>
<td valign="middle" align="center">68.00 <sup>b</sup>
</td>
<td valign="middle" align="center">67.00 <sup>a</sup>
</td>
<td valign="middle" align="center">32.00 <sup>b</sup>
</td>
<td valign="middle" align="center">33.00 <sup>b</sup>
</td>
<td valign="middle" align="center">57.67 <sup>a</sup>
</td>
<td valign="middle" align="center">54.33 <sup>a</sup>
</td>
<td valign="middle" align="center">18.33 <sup>b</sup>
</td>
<td valign="middle" align="center">16.33 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Distilled water</td>
<td valign="middle" align="center">28.67 <sup>c</sup>
</td>
<td valign="middle" align="center">4.33 <sup>b</sup>
</td>
<td valign="middle" align="center">16.33 <sup>c</sup>
</td>
<td valign="middle" align="center">15.33 <sup>c</sup>
</td>
<td valign="middle" align="center">33.67 <sup>c</sup>
</td>
<td valign="middle" align="center">29.00 <sup>c</sup>
</td>
<td valign="middle" align="center">14.33 <sup>c</sup>
</td>
<td valign="middle" align="center">12.67 <sup>c</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">LSD</td>
<td valign="middle" align="center">1.883</td>
<td valign="middle" align="center">2.106</td>
<td valign="middle" align="center">1.489</td>
<td valign="middle" align="center">1.762</td>
<td valign="middle" align="center">2.703</td>
<td valign="middle" align="center">1.492</td>
<td valign="middle" align="center">1.153</td>
<td valign="middle" align="center">1.078</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Fisher&#x2019;s least significant difference test, with a p &#x2264; 0.05, was used to compare the treatments&#x2019; means. Values are means &#xb1;&#x2009;standard errors. Means sharing the same alphabets did not differ significantly.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_8">
<title>Physiological parameters</title>
<p>The chlorophyll content (Chlorophyll <italic>a</italic> and <italic>b</italic>), total chlorophyll, and carotenoids of the wheat crop led to a significant (<italic>p &#x2264;</italic> 0.05) increase by the application of treated wastewater (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). Chlorophyll <italic>a</italic>, <italic>b</italic>, and total chlorophyll and carotenoids content of wheat were increased by 49.5%, 34.6%, 40.8%, and 40.2% in treated wastewater as compared to untreated wastewater respectively. Moreover, when we compared all these parameters recorded a slight increase of 18%, 13%, 21.8%, and 22.7% respectively in distilled water as compared to treated wastewater.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Impact of wastewater, treated wastewater, and distilled water on chlorophyll <italic>a</italic> content <bold>(A)</bold>, chlorophyll <italic>b</italic> content, total chlorophyll contents <bold>(C)</bold> and carotenoids <bold>(D)</bold> of wheat seedlings. The bars with different letters indicate significant differences from each other (<italic>p</italic>&lt;0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g008.tif"/>
</fig>
</sec>
<sec id="s3_9">
<title>Antioxidants and oxidative stress markers</title>
<p>The application of treated wastewater led to an increase in the levels of antioxidants like super oxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX) in wheat seedlings, as depicted in <xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>. In treated wastewater, antioxidants like SOD, POD, CAT, and APX of wheat were increased significantly by 21%, 23%, 25%, and 43% as compared to untreated wastewater. Data regarding oxidative stress parameters are presented in <xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>. The application of treated wastewater significantly decreased the level of H<sub>2</sub>O<sub>2</sub> and MDA in wheat. In treated wastewater, H<sub>2</sub>O<sub>2</sub> and MDA activities decreased by 43%, and 50% respectively, compared to untreated wastewater. However, in distilled water (control), these parameters recorded a slight increase of 10% and 7% respectively, compared to treated wastewater.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Impact of wastewater, treated wastewater, and distilled water on super oxide dismutase <bold>(A)</bold>, peroxide dismutase <bold>(B)</bold>, catalase <bold>(C)</bold>, ascorbate peroxidase <bold>(D)</bold>, hydrogen peroxide <bold>(E)</bold> and malondialdehyde <bold>(F)</bold> of wheat seedlings. The bars with different letters indicate significant differences from each other (<italic>p</italic>&lt;0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1263813-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The present study reported microbial synthesis, characterization, and application of manganese nanoparticles (Mn-NPs) prepared by using a bacterial strain, namely <italic>B. flexus</italic>. The brown color of the synthesized nanoparticles was caused by surface plasmon resonance, which was induced by the oscillation of electrons on the nanocomposite&#x2019;s surface (<xref ref-type="bibr" rid="B76">Wadhawan et&#xa0;al., 2020</xref>). The absorption spectra of MnO-NPs illustrate a sharp peak at 325.23nm due to the transmission of electrons from the valance band to the conduction band (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The absorption spectral test was performed, and it complied with the result performed by <xref ref-type="bibr" rid="B45">Jayandran et&#xa0;al. (2015)</xref>, whose absorption peak was in the range of 350-410 nm. The findings from the XRD analysis exhibited diffraction peaks at 101, 201, and 210, indicating the crystalline structure of MnO-NPs (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Similar results for the MnO-NPs were reported by <xref ref-type="bibr" rid="B57">Moon et&#xa0;al. (2015)</xref>. <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> illustrates the FTIR spectrum of MnO-NPs at a broad peak of 3397.55 cm<sup>-1</sup>, 2958.31 cm<sup>-1</sup>, 2925.46 cm<sup>-1</sup>, and 1725.41 cm<sup>-1</sup>. The peak at 3394 cm<sup>-1</sup> was confirmed by the OH group, which is parallel to <xref ref-type="bibr" rid="B65">Saod et&#xa0;al. (2022)</xref>, in which the OH and CH groups were confirmed at peaks of 3360 cm<sup>-1</sup> and 2800 cm<sup>-1</sup>.</p>
<p>Biosynthesized manganese nanoparticles were found to be efficient in wastewater treatment. In the present study, MnO-NPs showed great potential for the treatment of wastewater. The biosynthesized MnO-NPs at the concentration of 1g L<sup>-1</sup> were used for the photocatalytic degradation and adsorption of phosphates, sulphates, COD, TDS, and color intensity of wastewater. Maximum results were gained at the concentration of 1g L<sup>-1</sup> for the treatment of wastewater under sunlight for seven hours which was also previously reported by (<xref ref-type="bibr" rid="B41">Islam et&#xa0;al., 2018</xref>). The result was also positively correlated with <xref ref-type="bibr" rid="B42">Jain et&#xa0;al. (2022)</xref> in which they used MnO-NPs at 1mg L<sup>-1</sup> for the treatment of wastewater. MnO-NPs play a crucial role in the decolorization and degradation of pollutants in wastewater (<xref ref-type="bibr" rid="B19">Cui et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B69">Shoiful et&#xa0;al., 2020</xref>). When exposed to light, they generate electron-hole pairs, which subsequently interact with oxygen and water (<xref ref-type="bibr" rid="B28">Fouda et&#xa0;al., 2021</xref>). This interaction leads to the formation of highly reactive species, such as hydroxyl radicals (<xref ref-type="bibr" rid="B77">Wang et&#xa0;al., 2020</xref>). These radicals are responsible for the effective decolorization and degradation of pollutants in the wastewater. These free radicals interact with the contaminants and transform them into less toxic and simpler molecules (<xref ref-type="bibr" rid="B87">Zhao et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B81">Yamaguchi et&#xa0;al., 2018</xref>). <xref ref-type="bibr" rid="B30">Gupta et&#xa0;al. (2015)</xref> reported that use of nano particles is a useful approach to remove the noxious metal ions from the wastewater as they have specific surface characteristics and unique structure. Nanosized metal oxides, including manganese oxides, possess high surface area and specific affinity along with other mechanisms like electrostatic interaction, ion exchange, surface complexion and hard/soft acid-base interaction to absorb impurities from wastewater.</p>
<p>Results showed the removal of 79% COD, 37% TDS, 64% sulfates, 64.5% phosphate, 77.05% color intensity, pH reduction from 8.7 to 7.3, and EC reduction from 5.33 to 3 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). COD is the parameter against which MnO-NPs show the highest efficiency. MnO-NPs are effective adsorbents for removing pollutants from wastewater due to their higher surface area and higher reactivity, which are caused by their absorption properties (<xref ref-type="bibr" rid="B41">Islam et&#xa0;al., 2018</xref>). Various contaminants, such as heavy metals, organic compounds, and dyes, can be adsorbed by MnO-NPs (<xref ref-type="bibr" rid="B56">Martinez-Vargas et&#xa0;al., 2018</xref>). Such results have also been reported in previous studies (<xref ref-type="bibr" rid="B66">Shabanloo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Jothinathan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B58">Munir et&#xa0;al., 2023</xref>). Results of the experimentare supported by the findings of <xref ref-type="bibr" rid="B80">Yaashikaa et&#xa0;al. (2022)</xref>, who stated that MnO-NPs can efficiently adsorb heavy metals and other contaminants and ultimately degrading COD TDS, phosphates, sulfates, pH, and EC. The findings of the present studies, like removal of 37% TDS, are in line with the outcomes of <xref ref-type="bibr" rid="B54">Kumar and Chopra (2018)</xref>, who stated that a reduction in TDS was observed by using phytoremediation for wastewater treatment. The TDS might be removed from wastewater by the process of adsorption due to unique properties NPs, like the high surface area to volume ratio and the large number of active sites that interact with TDS (<xref ref-type="bibr" rid="B34">Hendren et&#xa0;al., 2013</xref>).</p>
<p>The results revealed that the growth parameters of wheat were significantly increased in treated wastewater as compared to untreated wastewater. The germination rates observed in treated wastewater were as follows: 87% on day nine, 75% on day six, and 62% on day three (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The germination rate in treated wastewater jumped due to a variety of factors that affected the sustainability of seeds and growth (<xref ref-type="bibr" rid="B23">Dimkpa et&#xa0;al., 2018</xref>). The absence of pollutants or hazardous compounds in treated wastewater can generate a more favorable environment for germination as compared to untreated wastewater (<xref ref-type="bibr" rid="B49">Kannan and Upreti, 2008</xref>; <xref ref-type="bibr" rid="B38">Huma et&#xa0;al., 2012</xref>). The greater germination rates may be due to improved quality of water and nutrient availability in treated wastewater (<xref ref-type="bibr" rid="B61">Nsiah-Gyambibi et&#xa0;al., 2022</xref>). Results obtained through the current experiment are supported by <xref ref-type="bibr" rid="B33">Helaly et&#xa0;al. (2018)</xref>, who concluded that an increase was found in shoot and root lengths of mango plants by the application of treated wastewater. The application of wastewater adversely affected the plant&#x2019;s primary root elongation, lateral root formation, and growth of aerial parts. Biochemical compounds, like chlorophyll pigments, were decreased in the mesophyll cells by the application of wastewater (<xref ref-type="bibr" rid="B36">Hong et&#xa0;al., 2019</xref>).</p>
<p>Wastewater disturbs the physical and physicochemical system of wheat due to the high concentration of COD, TDS, and nutrients (<xref ref-type="bibr" rid="B85">Zhang et&#xa0;al., 2021</xref>). The high amounts of phosphate and nitrate disturb metabolism by unbalancing the nutritional system of plants and accumulating in cells and tissues (<xref ref-type="bibr" rid="B3">Ahmad et&#xa0;al., 2020</xref>). The chlorophyll parameters of wheat decreased considerably under wastewater treatment as compared to treated wastewater (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). The pollutants present in wastewater reduced oxygen availability by contaminating the soil around wheat, thus reducing physical growth (<xref ref-type="bibr" rid="B51">Khan et&#xa0;al., 2009</xref>). The result revealed that the chlorophyll content of wheat increased with the application of treated wastewater, and the health of any plant is depicted by its chlorophyll content (<xref ref-type="bibr" rid="B48">Kamble et&#xa0;al., 2015</xref>). Prior research found that treating wheat plants with Mn salt, increased the formation of chlorophyll (<xref ref-type="bibr" rid="B68">Sheng et&#xa0;al., 2016</xref>), however, excessive Mn exposure (378 mg/L) decreased chlorophyll concentration (<xref ref-type="bibr" rid="B46">Jhanji et&#xa0;al., 2014</xref>). It is well known that Mn is needed in the shoots (leaves) for the functions of chlorophyll and photosynthesis, depending on the effects of soil versus foliar exposure (<xref ref-type="bibr" rid="B59">Narwal et&#xa0;al., 2012</xref>). By adding nanoparticles to treat the wastewater, which contains vital nutrients like nitrogen and phosphorus needed for the synthesis of chlorophyll (<xref ref-type="bibr" rid="B51">Khan et&#xa0;al., 2009</xref>). The outcomes of the current study are in line with the findings of <xref ref-type="bibr" rid="B46">Jhanji et&#xa0;al. (2014)</xref>, they reported a consistent outcome, whereby the application of treated wastewater resulted in a significant increase in chlorophyll content in wheat plants.</p>
<p>The results showed that wheat seedlings irrigated with wastewater have higher concentrations of zinc and copper in their roots and shoots than wheat seedlings irrigated with treated wastewater. In industrial discharges, wastewater may include higher quantities of Zn and Cu (<xref ref-type="bibr" rid="B73">Tariq et&#xa0;al., 2020</xref>). When such wastewater was used for irrigation, these pollutants may accumulate in the soil and, as a result, in the plant parts. Manganese oxide nanoparticles in treated wastewater may have absorbed or immobilized some of Zn and Cu ions present in the wastewater (<xref ref-type="bibr" rid="B41">Islam et&#xa0;al., 2018</xref>). This can make these elements less available for plant absorption, resulting in lower concentration of these elements in plant parts (<xref ref-type="bibr" rid="B88">Zwolak et&#xa0;al., 2019</xref>). Wheat seedlings irrigated with treated wastewater have higher levels of manganese and iron than irrigation with distilled water. Manganese oxide nanoparticles have the potential to boost manganese solubility and bioavailability in water, making them more available for plant absorption (<xref ref-type="bibr" rid="B29">Gillispie et&#xa0;al., 2019</xref>).</p>
<p>The findings of the study indicated that the application of treated wastewater resulted in an augmentation of antioxidants activities in wheat (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). The previous observation of <xref ref-type="bibr" rid="B32">Hashmat et&#xa0;al. (2021)</xref> that higher levels of antioxidant activities predominated in plants kept in under-treated wastewater applications was confirmed by a considerable rise in SOD and POD activities in treated plants. The antioxidants operate effectively as a cooperative network because of a series of redox reactions (<xref ref-type="bibr" rid="B4">Ali and Alqurainy, 2006</xref>). It is plausible to assume that enhanced enzymatic activities were caused by higher production of H<sub>2</sub>O<sub>2</sub> in a water-scarce environment (<xref ref-type="bibr" rid="B2">Ahmad et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B27">Faria et&#xa0;al., 2020</xref>). An ecological response for plants in stressful settings may be provided by the increase in CAT and POD activities in water-stressed plants (<xref ref-type="bibr" rid="B62">Panyuta et&#xa0;al., 2016</xref>). Plant species with poor POD activity may find it difficult to cope with stress because lipid peroxidation reduces the permeability of their membranes (<xref ref-type="bibr" rid="B84">Zarinkoob et&#xa0;al., 2021</xref>). During stress, reactive oxygen species (ROS) like H<sub>2</sub>O<sub>2,</sub> and MDA are produced (<xref ref-type="bibr" rid="B20">Das and Roychoudhury, 2014</xref>). Results revealed that ROS decreased in treated wastewater as compared to untreated wastewater. H<sub>2</sub>O<sub>2</sub> reacts with lipid membranes and damages the permeability of the cell (<xref ref-type="bibr" rid="B44">Javed et&#xa0;al., 2017</xref>).</p>
<p>The higher MDA and H<sub>2</sub>O<sub>2</sub> concentrations were probably caused by oxidative stress induced by the higher absorption of hazardous wastewater components, affecting plant development and yield (<xref ref-type="bibr" rid="B24">Dudziak et&#xa0;al., 2019</xref>). It was hypothesized that elevated levels of lipid peroxidation and H<sub>2</sub>O<sub>2</sub> would result in reduced cellular membrane functions due to heavy metal interference and absorption with mineral nutrients in fertigated soil wastewater (<xref ref-type="bibr" rid="B32">Hashmat et&#xa0;al., 2021</xref>).</p>
<p>Furthermore, treated wastewater has beneficial potential for the reduction of various plant parameters, such as MDA and H<sub>2</sub>O<sub>2</sub>. Moreover, it significantly (<italic>p &#x2264;</italic> 0.05) enhanced the growth and antioxidant parameters. According to the findings of <xref ref-type="bibr" rid="B50">Kanwal et&#xa0;al. (2020)</xref>, physiological and biochemical attributes, including photosynthetic rate, respiration rate, stomatal conductance, chlorophyll, and carotenoids were significantly reduced by the application of wastewater. Application of wastewater as irrigational water resulted in a significant reduction in the morphological, physiological, anatomy, and yield parameters of wheat cultivars (<xref ref-type="bibr" rid="B31">Hajihashemi et&#xa0;al., 2020</xref>).</p>
<p>Based on the finding of the study, it is suggested that treatment of wastewater through manganese oxide nanoparticles hold significant implications for agricultural practices, particularly in regions grappling with water scarcity and wastewater management challenges. By demonstrating the effectiveness of MnO-NPs in enhancing both wastewater treatment and wheat seedling growth, the research suggests a potential solution for sustainable agriculture in water-stressed areas. Implementing this technology could lead to more efficient utilization of limited water resources, as treated wastewater could be safely reused for irrigation. Additionally, the antioxidant properties of MnO-NPs could bolster plant resilience to environmental stressors, potentially leading to higher crop yields. Based on the utilization of MnO-NPs in treating wastewater for agricultural purposes, several practical recommendations can be offered for farmers and policymakers. It is advisable to explore their incorporation into wastewater treatment strategies for agricultural irrigation by considering the effectiveness of MnO-NPs in enhancing wastewater quality and promoting plant growth. It can lead to more sustainable water use practices, particularly in regions facing water scarcity. Additionally, the study underscores the importance of carefully monitoring the concentrations and application methods of MnO-NPs to ensure their optimal and safe utilization in agricultural settings. However, it is crucial to acknowledge potential limitations and risks, such as the need for thorough assessments of long-term environmental impacts, including effects on soil health and microbial communities.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<title>Conclusion</title>
<p>It can be concluded that the utilization of manganese nanoparticles (MnO-NPs) has a potential to treat wastewater by lowering sulfates, phosphates, color intensity, pH, electrical conductivity, total dissolved solids, and chemical oxygen demand. Furthermore, treated wastewater positively influenced the growth parameters, physiological parameters, and antioxidant defense systems of wheat, except malondialdehyde, and H<sub>2</sub>O<sub>2</sub>. Based on the findings, it is concluded that treated wastewater can be effectively utilized to cultivate wheat crop under limited availability of good quality water.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>AI: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft. MS: Conceptualization, Data curation, Project administration, Supervision, Writing &#x2013; original draft. MN: Methodology, Resources, Writing &#x2013; review &amp; editing, Investigation, Project administration. DI: Methodology, Writing &#x2013; original draft, Data curation, Formal analysis, Resources, Writing &#x2013; review &amp; editing. SH: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft. TS: Formal analysis, Writing &#x2013; original draft, Investigation, Methodology. FM: Investigation, Conceptualization, Software, Writing &#x2013; review &amp; editing. AR: Conceptualization, Investigation, Formal analysis, Resources, Writing &#x2013; original draft. SG: Conceptualization, Data curation, Methodology, Supervision, Writing &#x2013; review &amp; editing. A-RG: Conceptualization, Methodology, Writing &#x2013; review &amp; editing, Investigation, Project administration, Resources. MH: Formal analysis, Methodology, Resources, Writing &#x2013; review &amp; editing, Software. SK: Conceptualization, Methodology, Resources, Writing &#x2013; review &amp; editing, Validation, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors extend their appreciation to the Researchers Supporting Project number (RSPD2024R686), King Saud University, Riyadh, Saudi Arabia. The authors would like to thank researchers of Ayub Agricultural Research Institute, Faisalabad, and National University of Sciences and Technology, Islamabad, for providing the soil analysis and nanoparticle characterization.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<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="s10" sec-type="disclaimer">
<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>
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