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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.2025.1613809</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>Comparative study of L/D lactic acid production in cultures of probiotic strains supplemented with carbohydrates from agave and other agroindustrial resources</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Morales-Landa</surname>
<given-names>Juan Luis</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lazcano-D&#x00ED;az</surname>
<given-names>Estefania</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name>
<surname>Escamilla-Garc&#x00ED;a</surname>
<given-names>Erandi</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>P&#x00E9;rez-De la Rosa</surname>
<given-names>Alan Gael</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Luiz-Santos</surname>
<given-names>No&#x00E9;</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Centro de Investigaci&#x00F3;n y Asistencia en Tecnolog&#x00ED;a y Dise&#x00F1;o del Estado de Jalisco A.C. Subsede Noreste</institution>, <addr-line>Apodaca, Nuevo Le&#x00F3;n</addr-line>, <country>Mexico</country></aff>
<aff id="aff2"><sup>2</sup><institution>Centro de Investigaci&#x00F3;n y de Estudios Avanzados del Instituto Polit&#x00E9;cnico Nacional Unidad Monterey</institution>, <addr-line>Apodaca, Nuevo Le&#x00F3;n</addr-line>, <country>Mexico</country></aff>
<aff id="aff3"><sup>3</sup><institution>Universidad Aut&#x00F3;noma de Nuevo Le&#x00F3;n, Facultad de Ciencias Biol&#x00F3;gicas, Instituto de Biotecnolog&#x00ED;a</institution>, <addr-line>San Nicol&#x00E1;s de los Garza, Nuevo Le&#x00F3;n</addr-line>, <country>Mexico</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/171418/overview">Jos&#x00E9; Antonio Teixeira</ext-link>, University of Minho, Portugal</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2699000/overview">Jagrani Minj</ext-link>, Washington State University Spokane, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3092517/overview">Sujitta Raungrusmee</ext-link>, Kasetsart University, Thailand</p></fn>
<corresp id="c001">&#x002A;Correspondence: No&#x00E9; Luiz-Santos, <email>nsantos@ciatej.mx</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1613809</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Morales-Landa, Lazcano-D&#x00ED;az, Escamilla-Garc&#x00ED;a, P&#x00E9;rez-De la Rosa and Luiz-Santos.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Morales-Landa, Lazcano-D&#x00ED;az, Escamilla-Garc&#x00ED;a, P&#x00E9;rez-De la Rosa and Luiz-Santos</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>The growth behavior and lactic acid production capacity including both L-lactic and D-lactic acid isomers of five probiotic strains (<italic>Lactobacillus plantarum</italic> ATCC&#x00AE; 8014, <italic>L. rhamnosus</italic> ATCC&#x00AE; 53103, <italic>L. casei</italic> ATCC&#x00AE; 334, <italic>L. reuteri</italic> ATCC&#x00AE; 55730, and <italic>Bifidobacterium animalis</italic> ENCB-IPN) were systematically evaluated using defined carbon sources. Each strain was cultured for 24&#x202F;h in modified MRS broth, where glucose was replaced with 1% (10&#x202F;g/L) of individual substrates: monosaccharides (fructose, glycerol, rhamnose, arabinose, mannose, xylose, galactose), disaccharides (sucrose, cellobiose, lactose), a trisaccharide (raffinose), agave-derived fructooligosaccharides (FOS), and high-molecular-weight agave fructans (FAPM, DP&#x202F;&#x003E;&#x202F;10). Bacterial growth was monitored via optical density (OD595), and the specific growth rate (<italic>&#x03BC;</italic>) and maximum OD were calculated. Fructose supported the highest total lactic acid production, particularly in <italic>L. plantarum</italic> and <italic>B. animalis</italic>, followed by sucrose, mannose, and cellobiose. Notably, <italic>L. rhamnosus</italic> achieved the highest L-lactic acid proportion (96%) with FAPM, while <italic>L. casei</italic> yielded 92.5% with cellobiose. In contrast, the highest D-lactic acid proportions were obtained with lactose (71.35% in <italic>L. plantarum</italic>, 55.88% in <italic>L. reuteri</italic>) and with glycerol in <italic>L. casei</italic> (62%). Principal component analysis (PCA) showed limited correlation between growth and acid production when monosaccharides were used, but strong positive correlations were found with disaccharides and FOS, particularly between <italic>&#x03BC;</italic> and lactic acid yield. This study highlights the relevance of using defined carbon sources to elucidate the substrate-specific metabolic behavior of probiotic strains. The results provide a comparative framework for selecting or engineering strains for targeted lactic acid production (including optical purity) and lay the foundation for future bioprocess optimization using complex substrates such as agro-industrial residues or functional oligosaccharides.</p>
</abstract>
<kwd-group>
<kwd>biotechnology</kwd>
<kwd>probiotic bacterial</kwd>
<kwd>sugar sources</kwd>
<kwd>functional foods</kwd>
<kwd>biomass</kwd>
<kwd>lactic acid production</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="1"/>
<ref-count count="59"/>
<page-count count="11"/>
<word-count count="6910"/>
</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 sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Lactic acid bacteria (LAB) are a group of microorganisms significant industrial relevance, particularly in the food and pharmaceutical sectors. They are widely used to produce fermented functional foods, enhancing the bioavailability of various bioactive compounds and contributing to the sensory and safety attributes of food products through their antimicrobial and biopreservative properties (<xref ref-type="bibr" rid="ref38">Meruvu and Tellioglu Harsa, 2023</xref>; <xref ref-type="bibr" rid="ref20">Evivie et al., 2017</xref>; <xref ref-type="bibr" rid="ref8">Ayed et al., 2024</xref>). LAB naturally inhabits diverse ecological niches, including fermented foods, the oral cavity, and the gastrointestinal tract, where they promote host health by maintaining the balance of the intestinal microbiota. These attributes have led to their widespread use as probiotics (<xref ref-type="bibr" rid="ref1">Abdel Tawab et al., 2023</xref>; <xref ref-type="bibr" rid="ref5">Anjana and Tiwari, 2022</xref>; <xref ref-type="bibr" rid="ref10">Bernal-Castro et al., 2024</xref>).</p>
<p>In recent years, the valorization of agro-industrial by-products for biotechnological applications has emerged as a sustainable alternative for waste management. These by-products, generated during food processing, are rich in essential nutrients and bioactive compounds, making them attractive substrates for the development of high-value-added products. Their use not only represents an economically viable alternative but also contributes to sustainability strategy for waste reduction and circular economy development (<xref ref-type="bibr" rid="ref19">de la Rosa et al., 2019</xref>; <xref ref-type="bibr" rid="ref26">Gon&#x00E7;alves et al., 2023</xref>). With global food waste estimated to exceed 1,052 million tons by 2022, contributing between 8 and 10% of global greenhouse gas emissions, innovative waste management strategies are urgently needed (<xref ref-type="bibr" rid="ref21">Forbes et al., 2024</xref>).</p>
<p>LAB can produce lactic acid (LA) as the main product of carbohydrate fermentation. Agro-industrial residues containing lactose (from dairy) (<xref ref-type="bibr" rid="ref47">Popova-Krumova et al., 2024</xref>; <xref ref-type="bibr" rid="ref52">Turner et al., 2017</xref>), glycerol (from biodiesel) (<xref ref-type="bibr" rid="ref33">Kano et al., 2022</xref>; <xref ref-type="bibr" rid="ref44">Patel, 2012</xref>) fructans from agave (<xref ref-type="bibr" rid="ref37">Martha-Lucero et al., 2025</xref>), and cellobiose (from cellulose hydrolysis) have shown promise as substrates for lactic acid production (<xref ref-type="bibr" rid="ref2">Adsul et al., 2007</xref>), these options offer dual benefits: valorizing waste and supporting sustainable production processes.</p>
<p>Lactic acid is an organic acid recognized as GRAS (generally recognized as safe) by the FDA and has applications across multiple industries. In the food sector, it is used as a food preservative and sefety (<xref ref-type="bibr" rid="ref56">Zapa&#x015B;nik et al., 2022</xref>) and acidulant (<xref ref-type="bibr" rid="ref4">Ameen and Caruso, 2017</xref>). In the chemical industry, it serves as a pH regulator (<xref ref-type="bibr" rid="ref59">Zhou, 2023</xref>), solvent, cleaning agent (<xref ref-type="bibr" rid="ref34">Kim et al., 2022</xref>), and precursor for biodegradable polymers like polylactic acid (PLA) (<xref ref-type="bibr" rid="ref9">Banerjee et al., 2023</xref>; <xref ref-type="bibr" rid="ref51">Swetha et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">de Fran&#x00E7;a et al., 2022</xref>). Additionally, it finds applications in cosmetics and pharmaceuticals, including skin treatments (<xref ref-type="bibr" rid="ref14">Chuang et al., 2023</xref>), controlled drug delivery (<xref ref-type="bibr" rid="ref12">Boisgard et al., 2017</xref>), and immunostimulants (<xref ref-type="bibr" rid="ref32">Jiang et al., 2024</xref>).</p>
<p>Lactic acid exists as two optical isomers: L-lactic acid and D-lactic acid. In the context of biodegradable polymers, the mechanical properties and biodegradability of polylactic acid (PLA) are significantly influenced by the ratio of these enantiomers. Specifically, the D/L lactic acid ratio modulates the crystallinity, thermal stability, and degradation rate of the resulting polymer. Consequently, considerable research has been directed toward the selective production and purification of each isomer to meet the specific requirements of biopolymer applications (<xref ref-type="bibr" rid="ref9001">Augustiniene et al., 2022</xref>; <xref ref-type="bibr" rid="ref58">Zhao et al., 2013</xref>). While chemical synthesis of lactic acid results in a racemic mixture, microbial fermentation offers a viable alternative for obtaining high-purity L-lactic acid. However, wild-type LAB strains, such as <italic>Lactobacillus plantarum</italic>, naturally produce a racemic mixture. Thus, it is critical to investigate the isomeric composition of lactic acid produced by various strains and substrates to optimize its industrial applicability.</p>
<p>Various species of Lactobacillus spp., including <italic>L. acidophilus</italic>, <italic>L. plantarum</italic>, <italic>L. casei</italic>, and <italic>L. rhamnosus</italic>, have been extensively applied in food biotechnology for the fermentation of diverse substrates, particularly in the development of symbiotic functional foods. Beyond their nutritional applications, these strains are gaining relevance in industrial and biomedical contexts due to their ability to synthesize bioactive metabolites, including lactic acid isomers, exopolysaccharides, and antioxidant compounds (<xref ref-type="bibr" rid="ref24">Gao et al., 2025</xref>; <xref ref-type="bibr" rid="ref22">Frumuzachi et al., 2024</xref>; <xref ref-type="bibr" rid="ref45">Plessas et al., 2024</xref>; <xref ref-type="bibr" rid="ref43">Palencia-Argel et al., 2024</xref>).</p>
<p>In addition to their recognized safety and probiotic status, certain LAB genera such as <italic>Lactiplantibacillus, Lacticaseibacillus</italic>, and <italic>Bifidobacterium</italic> exhibit notable antioxidant properties. These effects are mediated through the production of antioxidant enzymes, glutathione, and exopolysaccharides, which contribute to the mitigation of oxidative stress and the modulation of cellular signaling pathways such as Nrf2/NF-kB (<xref ref-type="bibr" rid="ref28">Guerrero-Encinas et al., 2021</xref>; <xref ref-type="bibr" rid="ref49">Ruiz-Gonzalez et al., 2024</xref>). These traits further support their suitability for health-oriented biotechnological applications.</p>
<p>To guide the rational selection of strains and conditions for targeted isomer production, the use of model substrates including monosaccharides, disaccharides, and oligosaccharides enables precise characterization of substrate preferences and fermentative capacities in LAB. This strategy is particularly relevant when designing processes that utilize complex carbon sources such as lignocellulosic hydrolysates or agro-industrial by-products rich in unconventional sugars.</p>
<p>Despite the extensive literature on glucose and lactose metabolism in LAB (<xref ref-type="bibr" rid="ref31">Iskandar et al., 2019</xref>; <xref ref-type="bibr" rid="ref6">Arefi et al., 2024</xref>; <xref ref-type="bibr" rid="ref55">Wasewar et al., 2004</xref>), the fermentative behavior of probiotic strains in response to alternative carbon sources such as rhamnose, arabinose, agave-derived fructooligosaccharides (FOS), and high-degree polymerization fructans (FAMP) remains underexplored. These sugars are abundant in agave residues and other dietary fibers and offer great potential as functional substrates in sustainable fermentation processes.</p>
<p>Therefore, this study evaluates the growth performance and lactic acid isomer production (L- and D-lactic acid) of five probiotic strains cultured on selected model substrates derived from agro-industrial by-products. The results aim to support the development of efficient and sustainable bioprocesses aligned with circular economy principles.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methodology</title>
<sec id="sec3">
<label>2.1</label>
<title>Probiotic bacterial strains, growth conditions and culture media</title>
<p>Five probiotic strains were evaluated, including four Lactobacillus species obtained from the American Type Culture Collection (ATCC&#x00AE;): <italic>Lacticaseibacillus casei</italic> ATCC&#x00AE; 334, <italic>Lactiplantibacillus plantarum</italic> ATCC&#x00AE; 8,014, <italic>Lactobacillus rhamnosus</italic> ATCC&#x00AE; 53,103, <italic>Lactobacillus reuteri</italic> ATCC&#x00AE; 55,730 <italic>(Limosilactobacillus reuteri),</italic> and <italic>Bifidobacterium animalis</italic> ENCB-IPN. The strains were propagated in 2% MRS-Glucose broth and agar (Man, Rogosa, Sharpe; BD Difco&#x00AE;, New Jersey, USA) at 37&#x202F;&#x00B1;&#x202F;2&#x202F;&#x00B0;C for 24&#x202F;h in a HERATHERM bacteriological incubator (Thermo Scientific&#x00AE;) to confirm their viability and growth. The cultures were centrifuged at 6000&#x202F;rpm for 5&#x202F;min at 4&#x202F;&#x00B0;C to obtain the bacterial pellet, which was washed twice with autoclave-sterilized 0.1% peptone water (pH 7.0&#x202F;&#x00B1;&#x202F;0.1). The pellet was resuspended in 500&#x202F;&#x03BC;L of sterile water and adjusted to an initial optical density of 0.125 at 595&#x202F;nm (equivalent to 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> of CFU/mL, corresponding to tube 0.5 of the McFarland Nephelometer scale) using a Thermo Fisher Scientific&#x2122; Inc. Multiskan&#x2122; FC microplate photometer with incubator (Singapore).</p>
<p>The carbohydrate substrates included eight monosaccharides&#x2014;glucose (GLU), fructose (FRU), maltose (MAL), glycerol (GLY), rhamnose (RHA), arabinose (ARA), mannose (MAN), xylose (XYL), and galactose (GAL); three disaccharides&#x2014;cellobiose (CEL), lactose (LAC), and sucrose (SUC); and one trisaccharide&#x2014;raffinose (RAF), all purchased from Merck (Darmstadt, Germany). Additionally, agave-derived fructooligosaccharides (FOS) and high-molecular-weight fructans (FAPM), obtained using membrane separation technologies (<xref ref-type="bibr" rid="ref35">Luiz-Santos et al., 2020</xref>, <xref ref-type="bibr" rid="ref36">2022</xref>), were included in the analysis.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Growth behavior of the strains with different carbohydrates</title>
<p>Growth curves of <italic>L. paracasei</italic>, <italic>L. plantarum</italic>, <italic>L. rhamnosus</italic>, <italic>L. reuteri</italic>, and <italic>B. animalis</italic> were obtained in MRS broth modified to contain 1% (w/v) of the respective carbohydrate as the sole carbon source. Incubations were performed in 96-well plates at 37&#x202F;&#x00B1;&#x202F;2&#x202F;&#x00B0;C, with 200&#x202F;<italic>&#x03BC;</italic>L fermentation volumes and internal shaking, using a Multiskan&#x2122; FC photometer (Thermo Fisher Scientific&#x2122;, Singapore).</p>
<p>Substrate assimilation capacity was assessed by recording the optical density (OD) at 595&#x202F;nm, a wavelength commonly used for turbidity-based growth monitoring in <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> species period (<xref ref-type="bibr" rid="ref50">Shiroda and Manning, 2020</xref>; <xref ref-type="bibr" rid="ref48">Reale et al., 2015</xref>; <xref ref-type="bibr" rid="ref42">Moya-Gonz&#x00E1;lvez et al., 2021</xref>; <xref ref-type="bibr" rid="ref57">Zhang et al., 2023</xref>). Measurements were taken every hour over a 24-h where time zero corresponded to cultures freshly inoculated with cells in exponential growth phase. Specific growth rates (&#x03BC;) were estimated by plotting the natural logarithm of OD versus time. All experiments were conducted in triplicate.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Determination of production of lactic acid</title>
<p>Following incubation, cultures were centrifuged at 11,000 rpm for 10&#x202F;min at 4&#x202F;&#x00B0;C to remove cells. The supernatants were collected and stored in 1.5&#x202F;mL Eppendorf tubes at &#x2212;20&#x202F;&#x00B0;C for subsequent analysis.</p>
<p>The concentrations of L-lactic acid and D-lactic acid were determined enzymatically using specific reagent kits from BioSystems (L-lactic acid, COD 12802; D-lactic acid, COD 12801). Both assays are based on the enzymatic oxidation of L- or D-lactate to pyruvate by L-lactate dehydrogenase (L-LDH) or D-lactate dehydrogenase (D-LDH), respectively, coupled to the reduction of NAD<sup>+</sup> to NADH (<xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>), which was quantified spectrophotometrically at 340&#x202F;nm.</p>
<disp-formula id="EQ1"><label>(1)</label><mml:math id="M1"><mml:mi>D</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mtext mathvariant="italic">or</mml:mtext><mml:mo>&#x2212;</mml:mo><mml:mi>L</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mtext mathvariant="italic">Lactate</mml:mtext><mml:mo>+</mml:mo><mml:mi mathvariant="italic">NA</mml:mi><mml:msup><mml:mi>D</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:mo>&#x2192;</mml:mo><mml:mtext mathvariant="italic">Pyruvate</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="italic">NADH</mml:mtext></mml:math></disp-formula>
<p>For each assay, 240&#x202F;&#x03BC;L of Reagent A (enzyme solution in alkaline buffer, pH 9.5) and 3&#x2013;15&#x202F;&#x03BC;L of sample were incubated at 37&#x202F;&#x00B0;C and subsequently mixed with 60&#x2013;200&#x202F;&#x03BC;L of Reagent B (NAD<sup>+</sup>). Reaction kinetics were monitored at 340&#x202F;nm using a differential bi-reagent reading mode, which involves two absorbance measurements: an initial reading (A1) after the addition of Reagent A, and a second reading (A2) after the addition of Reagent B and incubation. This differential kinetic approach corrects for background absorbance and enables the accurate quantification of NADH formation, which is proportional to lactic acid concentration. Time points for absorbance readings were set at 72&#x202F;s and 480&#x202F;s for L-lactate, and 72&#x202F;s and 408&#x202F;s for D-lactate.</p>
<p>Calibration was performed using a multilevel aqueous standard solution. Results were expressed in g/L, and the system was configured to detect concentrations within the linear ranges of 0.02&#x2013;3.00&#x202F;g/L for L-lactate and 0.004&#x2013;0.250&#x202F;g/L for D-lactate. Coefficients of variation (CV) for repeatability and total imprecision were below 3.8% for L-lactate and below 1.5% for D-lactate, indicating good analytical performance.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Statistical analysis</title>
<p>The effects of carbohydrate type (monosaccharides, disaccharides, trisaccharides, and polysaccharides) and probiotic strain on lactic acid production were assessed using a multifactor categorical design.</p>
<p>L- and D-lactic acid production was compared using one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test at a 95% confidence level (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). All statistical analyses were performed using Statgraphics Centurion XVI. Principal component analysis (PCA) was conducted using XLSTAT to evaluate the correlation between kinetic growth parameters and lactic acid production.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<label>3</label>
<title>Results</title>
<sec id="sec8">
<label>3.1</label>
<title>Growth behavior of probiotic strains with different carbohydrates</title>
<p>To illustrate the growth behavior of the tested probiotic strains, <xref ref-type="fig" rid="fig1">Figure 1</xref> presents the growth curves of <italic>L. paracasei</italic>, <italic>L. plantarum</italic>, <italic>L. rhamnosus</italic>, <italic>L. reuteri</italic>, and <italic>B. animalis</italic> over a 24-h incubation period, measured as optical density at 595&#x202F;nm, using various monosaccharides as sole carbon sources. Growth patterns varied notably among strains depending on the type of monosaccharide provided.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Growth curves of probiotic bacteria using monosaccharides as the sole carbon source: <bold>(a)</bold> Glucose (GLU), <bold>(b)</bold> Fructose (FRU), <bold>(c)</bold> Mannose (MAN), <bold>(d)</bold> Galactose (GAL), <bold>(e)</bold> Xylose (XYL), <bold>(f)</bold> Glycerol (GLY), <bold>(g)</bold> Rhamnose (RHA), and <bold>(h)</bold> Arabinose (ARA).</p></caption>
<graphic xlink:href="fsufs-09-1613809-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Eight line graphs showing bacterial growth on different carbohydrates. Each graph plots optical density (OD 595 nm) against time in hours. Graphs are labeled a) GLU, b) FRU, c) MAN, d) GAL, e) XYL, f) GLY, g) RHA, h) ARA. Growth curves represent different bacterial strains: L. casei, L. rhamnosus, L. plantarum, B. animalis, L. reuteri. Each graph includes a chemical structure inset for the respective carbohydrate.</alt-text>
</graphic>
</fig>
<p>GLU, FRU, and MAN supported robust growth in all strains, with OD595 values approaching 1.5&#x2013;2.0. XYL yielded moderate growth across most strains, while GLY, RHA, and ARA were the least effective substrates, resulting in significantly lower biomass accumulation.</p>
<p>When evaluating growth on disaccharides, SUC and CEL (<xref ref-type="fig" rid="fig2">Figures 2a</xref>,<xref ref-type="fig" rid="fig2">b</xref>) emerged as the most favourable substrates for the majority of strains. LAC also supported bacterial growth, although strain-dependent differences were observed. <italic>B. animalis</italic> and <italic>L. reuteri</italic> demonstrated the highest efficiency with LAC (<xref ref-type="fig" rid="fig2">Figure 2c</xref>), achieving OD595 values close to 1.5&#x2013;2.0.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Growth curves of probiotic bacteria using disaccharides <bold>(a&#x2013;c)</bold>, trisaccharide <bold>(d)</bold>, fructooligosaccharide <bold>(e)</bold>, and polysaccharides <bold>(f)</bold> as carbon sources.</p></caption>
<graphic xlink:href="fsufs-09-1613809-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Six graphs display the growth of five bacterial strains over time with different carbohydrates: SUC, CEL, LAC, RAF, FOS, and FAPM. Each graph shows optical density (OD 595 nm) over 25 hours for strains: L. casei, L. rhamnosus, L. plantarum, B. animalis, and L. reuteri, indicated by different colored lines. Chemical structures are depicted within each graph.</alt-text>
</graphic>
</fig>
<p>Fructooligosaccharides (FOS) supported limited growth compared to most monosaccharides and disaccharides, with the exception of rhamnose (RHA), glycerol (GLY), and arabinose (ARA), indicating that not all strains are capable of efficiently fermenting this carbohydrate. The maximum optical density observed was approximately 0.5&#x2013;0.75 (<xref ref-type="fig" rid="fig2">Figure 2d</xref>), reflecting reduced substrate utilization. A similar growth pattern was observed with high-molecular-weight agave fructans (FAPM), which also showed minimal growth among the evaluated substrates (<xref ref-type="fig" rid="fig2">Figures 2e</xref>,<xref ref-type="fig" rid="fig2">f</xref>). This behavior was expected due to the structural complexity of these molecules. Such growth limitations for both FOS and FAPM have been previously reported (<xref ref-type="bibr" rid="ref39">Morales-Landa et al., 2024</xref>; <xref ref-type="bibr" rid="ref37">Martha-Lucero et al., 2025</xref>), showing lower productivity compared to glucose. However, a major advantage of fructans is that they do not require prior hydrolysis or pretreatment for fermentation.</p>
<p>To identify statistically significant factors influencing lactic acid production (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>), a two-way analysis of variance (ANOVA) was conducted at a 95% confidence level (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Both main effects (bacterial strain and carbohydrate source) and their interaction were found to be statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Analysis of variance (ANOVA) and Tukey&#x2019;s test for the effects of <bold>(a)</bold> probiotic bacterial strain and <bold>(b)</bold> carbohydrate type on lactic acid production.</p></caption>
<graphic xlink:href="fsufs-09-1613809-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Chart (a) depicts total lactic acid production by five probiotic bacteria: B. animalis, L. casei, L. plantarum, L. reuteri, and L. rhamnosus, ranging from 2.3 to 7.3 g/L. Chart (b) shows total lactic acid yield from different carbohydrates (ARA, CEL, FAPM, FOS, FRU, GAL, GLU, GLY, LAC, MAN, RAF, RHA, SUC, XYL), ranging from -1 to 19 g/L. Error bars indicate variability.</alt-text>
</graphic>
</fig>
<p>According to the mean comparison analysis, the highest lactic acid yields were obtained with <italic>L. plantarum</italic> and <italic>B. animalis</italic>. Among the substrates, the order of effectiveness was GLU&#x202F;&#x003E;&#x202F;FRU&#x202F;&#x003E;&#x202F;SUC&#x202F;&#x003E;&#x202F;MAN &#x2248; CEL&#x202F;&#x003E;&#x202F;LAC &#x2248; GAL. No significant differences were detected for RAF, XYL, FOS, RHA, ARA, FAPM, and GLY, which exhibited the lowest lactic acid production.</p>
<p>Multivariate relationships among growth performance, metabolite production, and substrate type were further explored through principal component analysis (PCA). <xref ref-type="fig" rid="fig4">Figure 4</xref> presents three biplots derived from PCA, representing the relationships among maximum optical density (OD595), lactic acid production, and specific growth rate (<italic>&#x03BC;</italic>) across different carbohydrate substrates. The primary axes, F1 and F2, represent the first and second principal components and indicate the percentage of variance explained. Blue dots correspond to different bacteria&#x2013;substrate combinations, while red vectors represent the direction and magnitude of variables such as specific growth rate, doubling time, maximum OD, and total lactic acid. In <xref ref-type="fig" rid="fig4">Figure 4a</xref>, F1 and F2 account for 89.46% of the total variance (65.23 and 24.23%, respectively). F1 is primarily associated with specific growth rate and doubling time, whereas F2 correlates with lactic acid production and maximum OD. Specific growth rate and doubling time are positively correlated in strains such as <italic>L. plantarum</italic> with GAL, <italic>L. casei</italic> with MAN, and <italic>B. animalis</italic> with MAN. Conversely, maximum OD appears negatively correlated with these variables, particularly for <italic>L. casei</italic> grown on GAL, RHA, and GLY. A positive association between lactic acid production and growth was observed when GLU was used by <italic>L. casei</italic>, <italic>L. reuteri</italic>, and <italic>L. plantarum</italic>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Biplots of principal components (PC1 and PC2) illustrate the correlations between growth and production parameters of probiotic bacteria cultivated on <bold>(a)</bold> monosaccharides, <bold>(b)</bold> disaccharides, and <bold>(c)</bold> polysaccharides as carbon sources.</p></caption>
<graphic xlink:href="fsufs-09-1613809-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three principal component analysis (PCA) biplots labeled a, b, and c display relationships between bacterial strains and various factors. Plot a highlights total lactic acid and maximum optical density (O.D) along F1 (65.23%) and F2 (24.23%). Plot b shows correlation of doubling time and specific growth rate with F1 (42.89%) and F2 (34.41%). Plot c emphasizes maximum O.D and total lactic acid with F1 (53.28%) and F2 (28.98%). Each plot has labeled arrows indicating direction and strength of variables. Plots were created using XLSTAT Trial software.</alt-text>
</graphic>
</fig>
<p>In <xref ref-type="fig" rid="fig4">Figure 4b</xref>, PCA of disaccharides (SUC, CEL, LAC) and RAF reveals that F1 and F2 explain 42.89 and 34.41% of the variance, respectively. The highest OD was observed for <italic>L. reuteri</italic> and <italic>L. rhamnosus</italic> cultured on RAF. However, increased OD did not always correlate with higher lactic acid production. Similarly, a shorter doubling time did not consistently correspond with a higher specific growth rate. Nevertheless, a positive correlation between lactic acid production and specific growth rate was evident, suggesting that these parameters increase in tandem.</p>
<p>The PCA for polysaccharides shows that F1 and F2 explain 53.28 and 28.98% of the total variance, respectively (<xref ref-type="fig" rid="fig4">Figure 4c</xref>). A clear distinction was observed between bacterial growth on FOS and FAPM, indicating metabolic differences in substrate utilization. Higher lactic acid production was more closely associated with specific growth rate and maximum OD when FOS was used as the carbon source.</p>
<p>The distribution of L- and D-lactic acid production according to the influence of the type of carbon substrate and the probiotic bacterial strain is shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>. Overall, no statistically significant differences were observed in the L-/D-lactic acid ratios across all substrates for each bacterium. However, certain combinations exhibited a strong preference for L-lactic acid production. Notably, <italic>L. rhamnosus</italic> grown on FAPM achieved the highest L-lactic acid proportion at 96%, followed by <italic>L. casei</italic> with cellobiose at 92.5%. Additionally, <italic>B. animalis</italic> grown on glucose produced 90.38% L-lactic acid, and lactose fermentation by <italic>L. casei</italic> resulted in 79.78% L-lactic acid. In contrast, the highest D-lactic acid proportions were observed with lactose as the substrate, reaching 71.35% for <italic>L. plantarum</italic> and 55.88% for <italic>L. reuteri</italic>. Furthermore, <italic>L. casei</italic> produced 62% D-lactic acid when utilizing GLY as the carbon source (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Production of L- and D-lactic acid using monosaccharides <bold>(a,b)</bold>, disaccharides and trisaccharides <bold>(c,d)</bold>, fructooligosaccharides (FOS), high molecular weight agave fructans (FAPM) <bold>(e,f)</bold>.</p></caption>
<graphic xlink:href="fsufs-09-1613809-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts depicting L- and D-lactic acid production by five bacterial strains (L. reuteri, B. animalis, L. plantarum, L. rhamnosus, L. casei) for various carbohydrates. Panels a and b show data for GAL, XYL, MAN, ARA, RHA, GLY, FRU, and GLU, while panels c and d include RAF, CEL, LAC, and SUC, and panels e and f display FAPM and FOS. Each panel compares acid production levels in grams per liter.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec9">
<label>4</label>
<title>Discussion</title>
<p>Lactic acid bacteria (LAB) can produce lactic acid as a primary metabolite through the fermentation of hexoses. Homofermentative LAB uses glycolysis (Embden-Meyerhof-Parnas pathway) to convert a single hexose molecule into two molecules of lactic acid, generating two ATP molecules while maintaining a balanced NAD<sup>+</sup>/NADH redox state. This could explain the higher lactic acid production observed in <italic>L. casei</italic> (<xref ref-type="bibr" rid="ref17">Cui and Qu, 2021</xref>), <italic>L. plantarum</italic> (<xref ref-type="bibr" rid="ref23">G&#x00E4;nzle, 2015</xref>), and <italic>B. animalis</italic> (<xref ref-type="bibr" rid="ref15">Cui et al., 2019</xref>).</p>
<p>In contrast, heterofermentative LAB such as <italic>Lactobacillus reuteri</italic> (<xref ref-type="bibr" rid="ref7">&#x00C5;rsk&#x00F6;ld et al., 2008</xref>) and <italic>L. rhamnosus</italic> (<xref ref-type="bibr" rid="ref41">Morita et al., 2009</xref>) utilise the pentose phosphate pathway due to the absence of fructose-1,6-bisphosphate aldolase. As a result, these strains produce not only lactic acid but also CO&#x2082;, ATP, and either ethanol or acetic acid per glucose molecule. In this context, the conversion of acetyl phosphate to ethanol requires the oxidation of two NADH molecules, maintaining redox balance. Conversely, the formation of acetic acid allows for the regeneration of NAD<sup>+</sup> and the production of an additional ATP molecule.</p>
<p>Our findings suggest that lactic acid isomer production (L- or D-form) is influenced by the bacterial strain and the type of substrate fermented. Certain strain-substrate combinations favour specific metabolic pathways that result in high-purity L-lactic acid, while others promote D-lactic acid production. On the other hand, the low performance in the proliferation or growth of some heterofermentative LAB, such as <italic>L. reuteri</italic>, may be due not only to the metabolic implications of assimilating a complex carbohydrate source, but also to the acidic characteristics of the lactate produced by LAB that may act as growth inhibitor, like the case studied in the strain <italic>L. reuteri</italic> JCM1112 (<xref ref-type="bibr" rid="ref30">Ichinose et al., 2020</xref>).</p>
<p>Lactic acid is an important bio-based platform compound, which can be divided into D-lactic acid and L-lactic acid according to its optical rotation (<xref ref-type="bibr" rid="ref54">Wang et al., 2021</xref>). The high proportion of L-lactic acid obtained from <italic>L. rhamnosus</italic> fermenting agave fructans, <italic>L, casei</italic> with cellobiose and lactose, and <italic>B. animalis</italic> with glucose, may be attributed to two key factors: (1) enzyme specificity and (2) metabolic regulation, indicating dominant L-lactate dehydrogenase (L-LDH) activity under favourable substrate conditions. Under these circumstances, the activity or expression of D-lactate dehydrogenase (D-LDH) is reduced, leading to the near-exclusive production of L-lactic acid.</p>
<p>Metabolic regulation may also dictate the dominance of homolactic versus heterolactic fermentation depending on the substrate. In <italic>L. rhamnosus</italic>, <italic>L. casei</italic>, and <italic>B. animalis</italic>, homolactic fermentation is prevalent (<xref ref-type="bibr" rid="ref15">Cui et al., 2019</xref>; <xref ref-type="bibr" rid="ref23">G&#x00E4;nzle, 2015</xref>; <xref ref-type="bibr" rid="ref17">Cui and Qu, 2021</xref>), meaning most pyruvate is channelled toward L-lactic acid formation rather than alternative products such as ethanol or acetic acid.</p>
<p>Agave fructans are fructose-based polymers that must first be hydrolyzed into fructooligosaccharides (FOS), free fructose, and glucose for microbial utilization (<xref ref-type="bibr" rid="ref39">Morales-Landa et al., 2024</xref>; <xref ref-type="bibr" rid="ref16">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="ref11">Biedrzycka and Bielecka, 2004</xref>). <italic>L. rhamnosus</italic> and <italic>L. casei</italic> possess fructofuranosidase or <italic>&#x03B2;</italic>-fructosidase enzymes capable of breaking down these polymers. The resulting monosaccharides enter glycolysis via the fructose-6-phosphate (F6P) pathway, bypassing the metabolic branching of the pentose phosphate pathway and favouring L-lactic acid production. Similarly, cellobiose, a disaccharide composed of two glucose units linked by a &#x03B2;-1,4 bond, is hydrolyzed by &#x03B2;-glucosidase in <italic>L. casei</italic>, enabling glucose entry into glycolysis via glucose-6-phosphate (G6P) and promoting rapid L-lactate formation.</p>
<p>In <italic>B. animalis</italic>, glucose metabolism primarily follows the bifid shunt, also known as the fructose-6-phosphate phosphoketolase pathway, which is unique to the genus Bifidobacterium. In this route, fructose-6-phosphate is cleaved by F6PPK into acetyl phosphate and erythrose-4-phosphate. The conversion of acetyl phosphate to acetate or lactate depends on NADH availability and L-LDH activity. Under conditions of high NADH regeneration such as during glucose fermentation, <italic>B. animalis</italic> favors lactate over acetate production, improving conversion efficiency (<xref ref-type="bibr" rid="ref27">Gonz&#x00E1;lez-Rodr&#x00ED;guez et al., 2013</xref>; <xref ref-type="bibr" rid="ref46">Pokusaeva et al., 2011</xref>).</p>
<p>In contrast, <italic>L. reuteri</italic> and <italic>L. plantarum</italic> appear to exhibit greater D-LDH activity when fermenting lactose, favoring D-lactic acid production (<xref ref-type="bibr" rid="ref40">Morita et al., 2008</xref>; <xref ref-type="bibr" rid="ref25">Goffin et al., 2004</xref>). This behavior may result from differences in LDH gene regulation or intracellular conditions such as NAD<sup>+</sup>/NADH ratios and carbon flux. These factors can shift the metabolic equilibrium toward D-lactic acid synthesis.</p>
<p>The L and D forms of lactic acid produced by LAB fermentation play a significant role in the synthesis of biodegradable polylactic acid. There is a great interest in the biomedical area in the fields of tissue regeneration and repair, in the application of biomaterial technologies (<xref ref-type="bibr" rid="ref13">Capuana et al., 2022</xref>; <xref ref-type="bibr" rid="ref3">Alavi et al., 2023</xref>), in the cosmetic area for skin care and treatment of melanogenesis (<xref ref-type="bibr" rid="ref29">Huang et al., 2020</xref>), to mention a few examples.</p>
<p>Overall, these findings highlight the metabolic complexity of lactic acid biosynthesis in probiotic strains and underscore the importance of strain-substrate selection in directing fermentation toward high-purity L-lactic acid.</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<label>5</label>
<title>Conclusion</title>
<p>The growth behavior and lactic acid production of probiotic bacteria are strongly influenced by the type of substrate used. Glucose, fructose, and disaccharides such as cellobiose and sucrose are the most efficient in promoting both bacterial growth and lactic acid synthesis. Furthermore, enzymatic specificity and metabolic regulation play critical roles in determining the L-/D-lactic acid ratio. Notably, <italic>L. rhamnosus</italic>, <italic>L. casei</italic>, and <italic>B. animalis</italic> show a clear preference for L-lactic acid production. These results provide valuable insight into fermentation processes through strategic selection of both LAB strains and carbon sources, with implications for food biotechnology but for the medical field. Our findings ensure a follow-up in the study with substrates originating from by-products of the food industry, aimed at promising uses and biomedical applications, thus promoting the utilisation of these sources, which are important actions in the circular economy.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec17">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec12">
<title>Author contributions</title>
<p>JM-L: Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. EL-D: Formal analysis, Funding acquisition, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. EE-G: Conceptualization, Funding acquisition, Investigation, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AP-D: Data curation, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NL-S: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec13">
<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 supported by I2T2-RETOS-2024-010: <italic>Proceso de pasteurizaci&#x00F3;n en fr&#x00ED;o y reducci&#x00F3;n de carbohidratos con tecnolog&#x00ED;a de membranas en alimentos: caso leche bronca deslactosada</italic>, RETOS de Innovaci&#x00F3;n PIIT 2024, Instituto de Innovaci&#x00F3;n y Transferencia de Tecnolog&#x00ED;a (I2T2) - Gobierno del Estado de Nuevo Le&#x00F3;n.</p>
</sec>
<ack>
<p>The authors acknowledge L.Q. Carlos Eduardo Mu&#x00F1;iz Cervantes, Business Development Manager at BioSystems M&#x00E9;xico (<ext-link xlink:href="https://biosystems.global/es" ext-link-type="uri">https://biosystems.global/es</ext-link>), for his technical assistance with the use of the Y15 Automatic Analyzer (<email>cmuniz@biosystems.com.mx</email>). They also thank Dr. Oscar Rodolfo Rodas Su&#x00E1;rez, research professor at the Escuela Nacional de Ciencias Biol&#x00F3;gicas (ENCB) &#x2013; Instituto Polit&#x00E9;cnico Nacional (IPN) (<ext-link xlink:href="https://www.encb.ipn.mx/" ext-link-type="uri">https://www.encb.ipn.mx/</ext-link>), for providing the Bifidobacterium animalis ENCB-IPN strain for research purposes (<email>orodass@ipn.mx</email>).</p>
</ack>
<sec sec-type="COI-statement" id="sec14">
<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 sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The authors declare that Gen AI was used in the creation of this manuscript. The authors used an AI language model (ChatGPT, OpenAI) to assist with English language editing, including improvements in grammar, structure, and clarity. All content was critically reviewed, verified, and approved by the authors.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<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="sec17">
<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.2025.1613809/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fsufs.2025.1613809/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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