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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1650222</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The biotechnological potential of bacterial extracellular polymeric substances in lead biosorption</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Maumela</surname> <given-names>Pfariso</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<uri xlink:href="https://loop.frontiersin.org/people/3103888"/>
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<contrib contrib-type="author">
<name><surname>Serepa-Dlamini</surname> <given-names>Mahloro</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<uri xlink:href="https://loop.frontiersin.org/people/779704"/>
</contrib>
</contrib-group>
<aff id="aff1"><institution>Department of Biotechnology and Food Technology, Faculty of Science, University of Johannesburg</institution>, <city>Johannesburg</city>, <country country="za">South Africa</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Pfariso Maumela, <email xlink:href="mailto:pmaumela@uj.ac.za">pmaumela@uj.ac.za</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-26">
<day>26</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="corrected" iso-8601-date="2025-12-16">
<day>16</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1650222</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Maumela and Serepa-Dlamini.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Maumela and Serepa-Dlamini</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Extracellular polymeric substances are composed of a diverse range of functional groups, thereby making a strong case for their consideration as biosorbents in heavy metal bioremediation. This study, therefore, assessed strategies to enhance the biotechnological potential of extracellular polymeric substances produced by an endophytic bacterium, <italic>Bacillus</italic> MHSD_36.</p></sec>
<sec>
<title>Methods</title>
<p>Design of experiments were used to optimize the yield of extracellular polymeric substances from <italic>Bacillus</italic> MHSD_36. A mixture design was subsequently used to develop a cocktail of EPS and hydrophobicity components for the optimal biosorption of lead.</p></sec>
<sec>
<title>Results</title>
<p>The production of the EPS, from MHSD_36, was optimized through lead induction at a concentration and time of 5.23 mg/L and 10.75 h, respectively. The optimum yield was 1.65 g/L EPS. The use of garden compost, as an alternative growth medium, was sufficient to give an EPS yield (1.15 g/L) comparable to sucrose based medium (1.25 g/L) under optimal induction conditions. The EPS from the <italic>Bacillus</italic> MHSD_36 had a Pb biosorption of 14.24%. However, a mixture of EPS with the hydrophobicity components significantly enhanced the Pb biosorption. The optimal proportion for the mixture was estimated to be 0.25 and 0.75, respectively with a maximum Pb biosorption of 95.8%. The acid recovery of EPS after the biosorption was effective to recover and recycle EPS in heavy metal biosorption.</p></sec>
<sec>
<title>Discussion</title>
<p>The production of EPS using garden compost and the subsequent recovery after biosorption of heavy metal offers a sustainable approach for the biotechnological application of bacterial EPS in environmental bioremediation.</p></sec></abstract>
<kwd-group>
<kwd><italic>Bacillus</italic></kwd>
<kwd>carboxyl</kwd>
<kwd>FTIR</kwd>
<kwd>lead</kwd>
<kwd>hydrophobicity</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>National Research Foundation</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100001321</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">TTK210216586709</award-id>
<award-id rid="sp1">PSTD2204082662.</award-id>
</award-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. The authors would like to acknowledge the South African National Research foundation (NRF), NRF grant no. CSUR240404212233 and Postdoctoral grant no. PSTD2204082662, for the financial support for this study.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="6"/>
<ref-count count="49"/>
<page-count count="10"/>
<word-count count="7038"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiotechnology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Heavy metal contamination due to industrialization has a major impact on human health and the biosphere (<xref ref-type="bibr" rid="B43">Upadhyay, 2022</xref>). Remediation can be achieved through physical, chemical or biological methods (<xref ref-type="bibr" rid="B8">Dhaliwal et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Rajendran et al., 2022</xref>). Biological methods such as microbial based biosorption have gained significant attention as an alternative and sustainable method of heavy metal bioremediation (<xref ref-type="bibr" rid="B7">Dave et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Priya et al., 2022</xref>). Microbial biosorption is easy to operate, has high metal binding efficiency and produces no toxic waste residues (<xref ref-type="bibr" rid="B10">Elgarahy et al., 2021</xref>). Bacteria have been shown to have a sorption capacity of approximately 200 mg/g for heavy metals such Pb (Lead) and Hg (Mercury) (<xref ref-type="bibr" rid="B26">Mohapatra et al., 2019</xref>). Biosorption can be achieved with dead or live bacterial cells and is facilitated by physicochemical interactions such as ion exchange, complexation, precipitation, adsorption, and absorption (<xref ref-type="bibr" rid="B7">Dave et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Elgarahy et al., 2021</xref>). The ability of bacteria to bind to metal ions is attributed to the synthesis of extracellular polymeric substances (EPS) (<xref ref-type="bibr" rid="B39">Sonkar et al., 2024</xref>).</p>
<p>EPS are negatively charged polymers because they are composed of ionizable functional groups such as carboxyl, sulfate, phosphate, hydroxyl, amine, and sulfhydryl groups (<xref ref-type="bibr" rid="B19">Li et al., 2022</xref>). Furthermore, EPS are diverse polymers with a range of potential industrial applications from pharmaceutical, food, textile, agriculture, to packaging (<xref ref-type="bibr" rid="B42">Tiwari et al., 2020</xref>; <xref ref-type="bibr" rid="B4">Behera et al., 2021</xref>). Thus, the synthesis and production of EPS, which entails the development of production and recovery methods, is of biotechnological significance. Bacterial EPS production is performed in liquid cultures supplemented with a carbon and nitrogen source (<xref ref-type="bibr" rid="B22">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rath et al., 2022</xref>). The EPS are subsequently recovered from the broth through precipitation, following the removal of microbial cells and proteins (<xref ref-type="bibr" rid="B37">Siddharth et al., 2021</xref>). Dialysis and lyophilisation can be applied for the purification of the recovered EPS (<xref ref-type="bibr" rid="B11">Feng et al., 2019</xref>).</p>
<p>Carbon is an essential nutrient and provides energy for cell growth (<xref ref-type="bibr" rid="B22">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rath et al., 2022</xref>). The widely used carbon sources for EPS production are starch, sucrose, glucose, maltose, galactose, lactose and fructose (<xref ref-type="bibr" rid="B38">Song et al., 2020</xref>). Glucose and sucrose have, however, been shown to result in high EPS yields in bacterial endophytes (<xref ref-type="bibr" rid="B21">Liu et al., 2017</xref>). <xref ref-type="bibr" rid="B20">Li et al. (2012)</xref> achieved an EPS yield of 22% and a concentration of 14 g/L with the fungal <italic>Berkleasmium</italic> sp. Dzf12. Furthermore, nitrogen sources play an important role in EPS production because they support cell growth as a source of nitrogen for nucleic acid and protein synthesis (<xref ref-type="bibr" rid="B22">Liu et al., 2022</xref>). Cultivation conditions such as pH, temperature, aeration and time have been reported to affect EPS production (<xref ref-type="bibr" rid="B17">Jyoti et al., 2024</xref>).</p>
<p>Bacterial endophytes (<xref ref-type="bibr" rid="B12">Fuentes-Quiroz et al., 2024</xref>) synthesize extracellular polymeric substances (EPS) which are involved in cell aggregation, biofilm formation and nutrient uptake (<xref ref-type="bibr" rid="B3">Ajijah et al., 2023</xref>). Moreover, bacterial endophytes of <italic>Bacillus</italic> sp dominate the plant microbiota (<xref ref-type="bibr" rid="B41">Susanti et al., 2024</xref>) and can use complex carbon and nitrogen sources, from their plant host and soil, for their growth (<xref ref-type="bibr" rid="B34">Saikia and Thakur, 2024</xref>). <italic>Bacillus</italic> sp survives in heavy metal contaminated environment through metal biosorption on the cells walls or externally by producing EPS (<xref ref-type="bibr" rid="B40">Sraboni et al., 2024</xref>). Therefore, the overall objective of this study was to evaluate the heavy metal biosorption capacity of EPS produced by an endophytic bacteria strain <italic>Bacillus</italic> MHSD_36. The study investigated the impact of heavy metal stress, using lead (Pb) as a model because it is a prominent carcinogen found in the environment (<xref ref-type="bibr" rid="B1">Aendo et al., 2022</xref>), on the EPS yield of <italic>Bacillus</italic> MHSD_36. The potential of using garden compost as a nutrient source for EPS production was also explored. The study investigated the impact of simultaneously using EPS and cell surface hydrophobicity components (hydrophobicity components) on heavy metal biosorption efficiency. Finally, the study investigated the potential of recovering and re-using the EPS in multiple rounds of heavy metal biosorption.</p></sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Bacterial strain maintenance</title>
<p>A 30% glycerol stock of the bacterial culture of <italic>Bacillus</italic> MHSD_36 (NCBI GenBank accession JAVBIS000000000) was plated on nutrient agar and incubated for 24 h at 28 &#x000B0;C, for routine culture maintenance.</p>
</sec>
<sec>
<title>Extracellular polymeric substances production and recovery from culture broth</title>
<p>The bacterial strain was first streaked on nutrient agar (NA) plates supplemented with sucrose 5% (w/v) and incubated at 37 &#x000B0;C for 72 h. Nutrient broth was inoculated with a single colony of the bacterial culture and incubated at 30 &#x000B0;C with agitation at 150 rpm for 24 h to prepare the pre-inoculum. One mL of the pre-inoculum was added into 500 mL fresh broth with 10% sucrose and incubated for 72 h at 30 &#x000B0;C agitating at 150 rpm. For EPS production in compost, the nutrient broth with 10% sucrose was replaced with 25% compost. The culture broth was subsequently centrifuged at 8000 rpm and for 15 mins. The supernatant was separated from the cells, mixed with twice the volume of 95% ethanol and incubated at 4 &#x000B0;C overnight for EPS precipitation. The EPS was recovered through centrifugation at 8000 rpm and 4 &#x000B0;C for 30 mins. The recovered EPS was then air dried. The concentration of EPS was determined using the phenol sulfuric assay with glucose as a standard, according to the method of <xref ref-type="bibr" rid="B9">DuBois et al. (1956)</xref>. Briefly, 600 &#x003BC;L of 95% H<sub>2</sub>SO<sub>4</sub>, 120 &#x003BC;L of 5% phenol and 200 &#x003BC;L of the sample were mixed, heat in a boiling water bath for 5 min, samples cooled, and absorbance determined at 490 nm.</p>
</sec>
<sec>
<title>Experimental design: the impact of heavy metal stress and induction time on EPS production</title>
<p>EPS production was enhanced through exposing the bacterial culture, described in the preceding section, to stress. A five-coded levels central composite design (CCD) was used to determine the impact of Pb concentration and induction time on EPS production. The experiment had 13 runs including 5 center points (<xref ref-type="table" rid="T1">Table 1</xref>). The factors were in the following range, Pb concentration (0.75, 2, 5, 8, 9.24 mg/L) (<xref ref-type="bibr" rid="B13">Huang et al., 2025</xref>) and induction time (1.5, 4, 10, 16, 18.5). The general formula for the response is shown in the equation below:</p>
<disp-formula id="EQ1"><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mstyle displaystyle="true"><mml:munderover accentunder="false" accent="false"><mml:mrow><mml:mo>&#x02211;</mml:mo></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:munderover></mml:mstyle><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>x</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mstyle displaystyle="true"><mml:munderover accentunder="false" accent="false"><mml:mrow><mml:mo>&#x02211;</mml:mo></mml:mrow><mml:mrow><mml:mtext>&#x000A0;</mml:mtext><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:munderover></mml:mstyle><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:msubsup><mml:mrow><mml:mi>x</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mstyle displaystyle="true"><mml:munder class="msub"><mml:mrow><mml:mo>&#x02211;</mml:mo></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>&#x0003C;</mml:mo><mml:mi>j</mml:mi></mml:mrow></mml:munder></mml:mstyle><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>j</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>x</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>x</mml:mi></mml:mrow><mml:mrow><mml:mi>j</mml:mi></mml:mrow></mml:msub><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mi>&#x003F5;</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(1)</label></disp-formula>
<p>where y<sub>i</sub> is the i<sup>th</sup> response variable, x<sub>i</sub> is the i<sup>th</sup> input parameter, n is the number of input parameters and &#x003B2;<sub>0</sub>, &#x003B2;<sub>i</sub>, &#x003B2;<sub>ii</sub>, &#x003B2;<sub>ij</sub> are the fixed response, linear, quadratic, and cross products coefficients, respectively. Minitab (Design&#x02013;Expert, Stat-Ease Inc. Minneapolis, MN, USA) was used for the experimental design and statistical analysis at 5% level of significance.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Experimental design for the optimization of extracellular polymeric substance yields through lead stress induction.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Std</bold></th>
<th valign="top" align="center"><bold>Run</bold></th>
<th valign="top" align="center"><bold>A:Induction time (h)</bold></th>
<th valign="top" align="center"><bold>B:Pb concentration (mg/L)</bold></th>
<th valign="top" align="center"><bold>EPS volumetric yield (g/L)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">10.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.48</td>
</tr>
<tr>
<td valign="top" align="left">9.00</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.67</td>
</tr>
<tr>
<td valign="top" align="left">11.00</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.87</td>
</tr>
<tr>
<td valign="top" align="left">8.00</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">9.24</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">7.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">1.00</td>
<td valign="top" align="center">6.00</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.13</td>
</tr>
<tr>
<td valign="top" align="left">3.00</td>
<td valign="top" align="center">7.00</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">8.00</td>
<td valign="top" align="center">1.02</td>
</tr>
<tr>
<td valign="top" align="left">5.00</td>
<td valign="top" align="center">8.00</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">4.00</td>
<td valign="top" align="center">9.00</td>
<td valign="top" align="center">16.00</td>
<td valign="top" align="center">8.00</td>
<td valign="top" align="center">1.16</td>
</tr>
<tr>
<td valign="top" align="left">13.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.91</td>
</tr>
<tr>
<td valign="top" align="left">12.00</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.31</td>
</tr>
<tr>
<td valign="top" align="left">6.00</td>
<td valign="top" align="center">12.00</td>
<td valign="top" align="center">18.49</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">1.06</td>
</tr>
<tr>
<td valign="top" align="left">2.00</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">16.00</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">0.98</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Extraction of cell surface hydrophobicity components</title>
<p><italic>Bacillus</italic> MHSD_36 was grown in nutrient broth (NB) at 28 &#x000B0;C, 150 rpm for 24 h and hydrophobicity components extracted according to the method of <xref ref-type="bibr" rid="B18">Khalil et al. (2018)</xref>. Bacterial cells were harvested from the broth by centrifugation at 8000 rpm for 15 min and washed twice with 5 mL of phosphate buffered saline (PBS) pH 7. The washed cells were resuspended in 2 mL of PBS, mixed with an equal volume of chloroform and vortexed for 2 min. The aqueous and organic phases were allowed to separate for 30 min at room temperature (&#x000B1;25 &#x000B0;C). The aqueous phase was separated (hydrophobicity components) from the organic phase and stored until use.</p>
</sec>
<sec>
<title>Heavy metal biosorption</title>
<p>The biosorption studies were performed by combining 1 mL of the biosorbent and 4 mL of de-ionized water containing Pb to give a final volume and Pb concentration of 5 mL and 10 mg/L, respectively. The mixture was incubated at 25 &#x000B0;C with agitating at 150 rpm for 24 h and the concentration of residual Pb determined with Inductively coupled plasma optical emission spectroscopy (ICP-OES). The biosorbent was 5 g/L of EPS.</p>
</sec>
<sec>
<title>Mixture design: interaction between EPS and hydrophobicity components</title>
<p>A {2, 4} simplex lattice design augmented with interior points and centroid (<xref ref-type="bibr" rid="B28">Montgomery, 2017</xref>) was used to optimize the proportion of EPS and hydrophobicity components for heavy metal biosorption. The experimental design had a total of 9 runs including 4 center points. The heavy metal biosorption experiments were performed as described in the previous section. The biosorbent was however made up of the different proportions of EPS and hydrophobicity components defined by the lattice design.</p>
</sec>
<sec>
<title>The recovery and re-use of EPS</title>
<p>The potential of salt and acid as EPS recovery agents following heavy metal biosorption was evaluated. The air-dried EPS extract was resuspended in 15 ml deionised water, with 10 mg/L Pb, to give an EPS concentration of 5 g/L. The mixture was incubated at 25 &#x000B0;C with agitating at 150 rpm for 24 h. One ml of the mixture was sampled for the determination of the residual Pb concentration with ICP-OES. For the acid recovery, the pH of the biosorption mixture was adjusted to 3 with nitric acid. The biosorption mixture was treated with aluminum oxide (Al<sub>2</sub>O<sub>3</sub>) to a concentration of 3 mg/L for the salt recovery procedure. The recovery experiments were left standing at room temperature overnight. The EPS was subsequently recovered through centrifugation at 8000 rpm and 4 &#x000B0;C for 30 mins. The recovered EPS was resuspended in 15 ml deionised water and incubated at 25 &#x000B0;C with agitating at 150 rpm for 24 h. The concentration of the residual Pb was determined with ICP-OES.</p>
</sec>
<sec>
<title>Fourier transform infrared spectroscopy analysis of EPS</title>
<p>The chemical composition of the EPS was determined using Fourier transform infrared spectroscopy (FTIR) to gain insight into functional groups important for metal adsorption. The FTIR spectra of the samples were obtained using an FTIR spectrophotometer (Thermo Scientific Smart iTR, Attenuated Total Reflectance, USA).</p>
</sec>
<sec>
<title>Statistical analysis for metal biosorption experiments</title>
<p>All the metal biosorption experiments were performed in triplicates and results were presented in the form of the mean &#x000B1; SD. The standard deviations were represented in charts as error bars. The significant difference was determined by the analysis of variance (ANOVA) in Microsoft Excel 365. The ANOVA was performed at 5% level of significance.</p></sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Enhancing the production of EPS through growth under heavy metal stress</title>
<p>The impact of Pb induction concentration and time on EPS production by the bacterial strain <italic>Bacillus</italic> MHSD_36 was evaluated using the response surface methodology. <xref ref-type="table" rid="T1">Table 1</xref> is a summary of the statistical design and corresponding experimental values of the EPS volumetric yields, ranging between 0.5-1.91 mg/L. The optimal Pb induction concentration and time were 5.23 mg/L and 10.75 h, respectively, with an optimum volumetric yield of 1.65 g/L EPS (<xref ref-type="fig" rid="F1">Figure 1</xref>). ANOVA (<xref ref-type="table" rid="T2">Table 2</xref>) shows that the R<sup>2</sup> and adjusted R<sup>2</sup> value is 0.7712 and 0.6972, respectively. Thus, 69.72% of the variation in the EPS yield was attributed to the Pb induction concentration and time. The residual analysis was used to determine the model adequacy and data summarized in residual plots (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). The plots showed that there was no correlation in the residuals of the different runs and the residuals did not corelate to the predicted response. In addition, the normality plot (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>) showed that the residuals were normally distributed. The quadratic terms of both concentration (B<sup>2</sup>) and induction time (A<sup>2</sup>) had a <italic>p</italic>-value of &#x0003C; 0.05 (<xref ref-type="table" rid="T2">Table 2</xref>), illustrating that an initial increase in the Pb induction concentration and time results in an increase in the EPS volumetric yield until a maximum level (<xref ref-type="fig" rid="F2">Figure 2</xref>). However, subsequent increases resulted in a decrease in the EPS yields (<xref ref-type="fig" rid="F2">Figure 2</xref>). Equations 1 and 2 is the coded model equation and actual model equation, respectively, illustrating the mathematical relationship between the EPS yield and Pb induction concentration and time;</p>
<disp-formula id="EQ2"><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0748</mml:mn><mml:mi>A</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0547</mml:mn><mml:mi>B</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0725</mml:mn><mml:mi>A</mml:mi><mml:mi>B</mml:mi><mml:mo>-</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msup><mml:mrow><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>3177</mml:mn><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo>-</mml:mo><mml:msup><mml:mrow><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>4253</mml:mn><mml:mi>B</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x02003;</mml:mo><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>65</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(2)</label></disp-formula>
<disp-formula id="EQ3"><mml:math id="M4"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>1688</mml:mn><mml:mi>A</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>4504</mml:mn><mml:mi>B</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>004</mml:mn><mml:mi>A</mml:mi><mml:mi>B</mml:mi><mml:mo>-</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msup><mml:mrow><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0088</mml:mn><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo>-</mml:mo><mml:msup><mml:mrow><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0472</mml:mn><mml:mi>B</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x02003;</mml:mo><mml:mo>-</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>4302</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(3)</label></disp-formula>
<p>where, <italic>y</italic> is the volumetric EPS yield, <italic>A</italic> is the Pb induction time and <italic>B</italic> is the Pb concentration. The regression coefficient data for the coded model equation is summarized in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>. The negative sign on the quadratic terms further illustrates that the EPS volumetric yield reaches a maximum level before it starts to decline, as the Pb induction concentration and time increase.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Desirability analysis for the optimization of Pb concentration and induction time in EPS production.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0001.tif">
<alt-text content-type="machine-generated">Three graphs display different parameters. The first graph, labeled &#x0201C;A: Pb concentration,&#x0201D; shows a red dot at a concentration of 5.22675 between values 2 and 8. The second graph, labeled &#x0201C;B: Induction time,&#x0201D; has a red dot at 10.7564 between values 4 and 16. The third graph, labeled &#x0201C;EPS volumetric yields,&#x0201D; features a blue dot at 1.65477 between values 0.5 and 1.91. Desirability is noted as 0.811 with a solution count of 1 out of 1.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Analysis of variance showing the significant parameters to maximize the yield of EPS.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Sum of squares</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>Mean square</bold></th>
<th valign="top" align="center"><bold><italic>F</italic>-value</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Model</td>
<td valign="top" align="center">1,83</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0,3669</td>
<td valign="top" align="center">4,72</td>
<td valign="top" align="center">0,0332</td>
<td valign="top" align="left">significant</td>
</tr>
<tr>
<td valign="top" align="left">A-Induction time</td>
<td valign="top" align="center">0,0447</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0,0447</td>
<td valign="top" align="center">5,46</td>
<td valign="top" align="center">0,4729</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">B-Pb concentration</td>
<td valign="top" align="center">0,0239</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0,0239</td>
<td valign="top" align="center">9,72</td>
<td valign="top" align="center">0,5962</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">AB</td>
<td valign="top" align="center">0,0210</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0,0210</td>
<td valign="top" align="center">0,2705</td>
<td valign="top" align="center">0,6191</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">A<sup>2</sup></td>
<td valign="top" align="center">0,7024</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0,7024</td>
<td valign="top" align="center">9,04</td>
<td valign="top" align="center">0,0198</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">B<sup>2</sup></td>
<td valign="top" align="center">1,26</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1,26</td>
<td valign="top" align="center">16,18</td>
<td valign="top" align="center">0,0050</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Residual</td>
<td valign="top" align="center">0,5442</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0,0777</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Lack of Fit</td>
<td valign="top" align="center">0,2833</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0,0944</td>
<td valign="top" align="center">1,45</td>
<td valign="top" align="center">0,3543</td>
<td valign="top" align="left">not significant</td>
</tr>
<tr>
<td valign="top" align="left">Pure Error</td>
<td valign="top" align="center">0,2609</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0,0652</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cor Total</td>
<td valign="top" align="center">2,38</td>
<td valign="top" align="center">12</td>
<td/>
<td/>
<td/>
<td/>
</tr></tbody>
</table>
</table-wrap>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Surface response plot for the optimization of EPS volumetric yields from <italic>Bacillus</italic> MHSD_36.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0002.tif">
<alt-text content-type="machine-generated">Three-dimensional graph depicting EPS volumetric yields in grams per liter as a function of lead concentration in milligrams per liter and induction time in hours. The surface is color-coded, transitioning from green at the edges to yellow at the peak, with contour lines below. Red data points are plotted on the surface.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>The potential of compost as a nutrient source in EPS production</title>
<p>Garden waste derived compost was evaluated for its potential as a nutritent (carbon and nitrogen) source for EPS production from <italic>Bacillus</italic> sp. MHSD_36. The compost had a fiber and protein content of 72.95 and 8.45, respectively (<xref ref-type="table" rid="T3">Table 3</xref>). The volumetric yield of EPS was 1.12 g/L when <italic>Bacillus</italic> sp. MHSD_36 was cultured in compost compared to 1.25 g/L in the sucrose and nutrient broth (<xref ref-type="fig" rid="F3">Figure 3</xref>). The functional group composition of the EPS from sucrose and compost cultures is shown in FTIR spectra (<xref ref-type="fig" rid="F4">Figure 4</xref>) showing functional groups in the region of 4,000-400 cm<sup>&#x02212;1</sup>, characteristics functional groups found in biopolymers. Furthermore, both samples showed a characteristic hydroxyl group corresponding with peak 3434 cm<sup>&#x02212;1</sup>. Peaks signals 1090 and 930 cm<sup>&#x02212;1</sup>, characteristic to amine or carboxyl functional groups, were observed for both the EPS and hydrophobicity components (<xref ref-type="fig" rid="F4">Figure 4</xref>). The hydrophobicity components showed a signal at 1045 cm<sup>&#x02212;1</sup> which corresponds to a phosphoryl group from phospholipids. The FTIR specta (<xref ref-type="fig" rid="F4">Figure 4</xref>) show that the EPS functional groups such as hydroxyl and phospohryl group were in high abundance while the amine and carboxyl functional groups were in low abundance.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Proximate composition analysis of the garden compost used in EPS production. The data presented is mean values with &#x000B1; standard deviation of three replicates.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Component</bold></th>
<th valign="top" align="center"><bold>% composition</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ash</td>
<td valign="top" align="center">36.12 &#x0002B; 1.2</td>
</tr>
<tr>
<td valign="top" align="left">Moisture</td>
<td valign="top" align="center">1.93 &#x0002B; 0.16</td>
</tr>
<tr>
<td valign="top" align="left">Protein</td>
<td valign="top" align="center">8.45 &#x0002B; 0.50</td>
</tr>
<tr>
<td valign="top" align="left">Fiber</td>
<td valign="top" align="center">72.95 &#x0002B; 1.96</td>
</tr></tbody>
</table>
</table-wrap>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>EPS volumetric yields from <italic>Bacillus</italic> MHSD_36 cultured in medium containing compost or/sucrose as carbon sources. The experiments were performed in triplicates and data reported as mean &#x000B1; standard. The similar letters above the bars show that the difference in the data is not statistically significant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0003.tif">
<alt-text content-type="machine-generated">Bar chart comparing EPS volumetric yield in grams per liter for compost and sucrose. Compost yield is slightly above 1.0 g/L, while sucrose yield is slightly higher, nearly 1.3 g/L, shown with error bars.</alt-text>
</graphic>
</fig>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>FTIR spectrum of the EPS extracted from the sucrose <bold>(A)</bold> based media and compost media <bold>(B)</bold> cultures of Bacillus MHSD_36.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0004.tif">
<alt-text content-type="machine-generated">Bar chart showing residual lead (Pb) levels in grams per liter for six conditions: Control, Crude EPS, Salt recovered EPS, Acid recovered EP, Salt supernatant, and Acid supernatant. Control, Salt recovered EPS, Salt supernatant, and Acid supernatant have higher values around 10 to 12, labeled &#x00027;b&#x00027;. Crude EPS and Acid recovered EP show lower levels around 4 to 6, labeled &#x00027;a&#x00027;. Error bars are present.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>The recovery and re-use of EPS for metal biosorption</title>
<p>The potential for the recovery and re-use of EPS in metal biosorption was evaluated by assaying the ability of acid and salt to recover the EPS following Pb biosorption. The recovered EPS was subsequently used in a second round of Pb biosorption. <xref ref-type="fig" rid="F5">Figure 5</xref> is a summary of the residual Pb following treatment with crude EPS from <italic>Bacillus</italic> MHSD_36, as well as acid and salt recovered EPS. The data illustrates that acid was suitable for the precipitation and recovery of EPS and subsequent re-use in heavy metal biosorption (<xref ref-type="fig" rid="F5">Figure 5</xref>). There was no significant difference in the residual Pb between the crude EPS (6.27 mg/L) and acid recovered EPS (5.57 mg/L). The supernatant from the acid and salt precipitation assays was mixed with ethanol, following the recovery of the EPS, to further confirm the ability of acid and salt to precipitate the EPS. <xref ref-type="fig" rid="F5">Figure 5</xref> shows that the residual Pb concentration following the incubation of the ethanol extract with a Pb solution (11.41 and 12.07 mg/L, respectively) was not significantly different from control without a biosorbent (11.13 mg/L).</p>
<fig position="float" id="F5">
<label>Figure 5</label>
<caption><p>Pb recovery using crude EPS, acid recovered/recycled EPS and salt recovered/recycled EPS. The experiments were performed in triplicates and data reported as mean &#x000B1; standard deviation. Different letters above the bars indicate statistically significant difference.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0005.tif">
<alt-text content-type="machine-generated">Two infrared spectra labeled A and B display transmittance (%T) against wavenumber (cm&#x00207;B&#x000B9;). Spectrum A is in green, with peaks around 3434, 2066, 1638, and 895 cm&#x00207;B&#x000B9;. Spectrum B is in red, with peaks around 3443, 2068, 1635, and 840 cm&#x00207;B&#x000B9;. Both spectra show significant transmittance changes at various points.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>Evaluating the synergy between EPS and hydrophobicity components in metal biosorption</title>
<p><xref ref-type="table" rid="T4">Table 4</xref> is a summary of the augmented simplex lattice mixture design used to determine the optimum proportions of EPS and hydrophobicity components for the biosorption of Pb metal ions. The data shows that simultaneouly applying the EPS and hydrophobicity components significantly enhanced the Pb biosorption capacity of the former (<xref ref-type="table" rid="T4">Table 4</xref>). The lowest Pb biosorption (14.24%) was observed when when the EPS was used without the hydrophobicity components. The partial replacement of EPS by a propotion of 0.25 significantly improved the Pb biosorption to 89.88%. The use of equal proportions of EPS (0.5) and hydrophobicity components (0.5) resulted in the highest observed Pb biosorption of 96.48%. The optimal proportion of EPS and hydrophobicity components was estimated to be 0.25 and 0.75, respectively, with a maximum Pb biosorption of 95.8% (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Mixture design to determine the optimal proportion of EPS and hydrophobicity components for Pb biosorption.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Run</bold></th>
<th valign="top" align="center"><bold>EPS</bold></th>
<th valign="top" align="center"><bold>Hydrophobicity components</bold></th>
<th valign="top" align="center"><bold>Pb removal %</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">0,5</td>
<td valign="top" align="center">0,5</td>
<td valign="top" align="center">89,64</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">0,25</td>
<td valign="top" align="center">0,75</td>
<td valign="top" align="center">95,8</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">19,88</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">14,24</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">0,5</td>
<td valign="top" align="center">0,5</td>
<td valign="top" align="center">96,48</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">38,6</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">0,75</td>
<td valign="top" align="center">0,25</td>
<td valign="top" align="center">89,88</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">98,4</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">98,28</td>
</tr></tbody>
</table>
</table-wrap>
<fig position="float" id="F6">
<label>Figure 6</label>
<caption><p>Mixture design for optimizing the proportions of EPS and hydrophobicity components for maximum Pb adsorption and recovery.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1650222-g0006.tif">
<alt-text content-type="machine-generated">Graph showing lead removal percentage as a function of two components, A (EPS) and B (Hydrophobicity). Data points are marked with red circles. A curve representing the trend is shown with 95% confidence interval bands. Component coding is actual, and a black square indicates Pb removal. Text details experiment specifics with standard number and run number.</alt-text>
</graphic>
</fig>
<p>The ANOVA for the mixture design (<xref ref-type="table" rid="T5">Table 5</xref>) shows that both the linear and interactive terms of the mixture model were statistically significant. The statistically significant interactive term (AB) is a further indication of the synergistic interaction between EPS and hydrophobicity components in Pb biosorption. In addition, the <italic>R</italic><sup>2</sup> and adjusted <italic>R</italic><sup>2</sup> value is 0.9164 and 0.8885, respectively, thereby inferring that 88.85% variation in Pb biosorption is attributable to EPS and hydrophobicity components. The residual analyis (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref>) shows that the residuals were independent and that no correlation existed between the residuals and predicted response. The residuals also had normal distribution (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 4</xref>). The coded model Equation 4, based on the regresssion analysis (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref>) is shown below;</p>
<disp-formula id="EQ4"><mml:math id="M6"><mml:mtable class="eqnarray" columnalign="center"><mml:mtr><mml:mtd><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mn>27</mml:mn><mml:mo>.</mml:mo><mml:mn>01</mml:mn><mml:mi>A</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>95</mml:mn><mml:mo>.</mml:mo><mml:mn>42</mml:mn><mml:mi>B</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>142</mml:mn><mml:mo>.</mml:mo><mml:mn>24</mml:mn><mml:mi>A</mml:mi><mml:mi>B</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(4)</label></disp-formula>
<p>where <italic>y</italic> is the Pb removal %, <italic>A</italic> is the EPS proportion and <italic>B</italic> is the hydrophobicity components proportion.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Analysis of variance for the significant factors in the model for the biosorption of Pb with a cocktail of EPS and hydrophobicity components.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Sum of squares</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>Mean square</bold></th>
<th valign="top" align="center"><bold><italic>F</italic>-value</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Model</td>
<td valign="top" align="center">9481,89</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4740,94</td>
<td valign="top" align="center">32,87</td>
<td valign="top" align="center">0,0006</td>
<td valign="top" align="left">significant</td>
</tr>
<tr>
<td valign="top" align="left"><sup>(1)</sup>Linear Mixture</td>
<td valign="top" align="center">7287,06</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7287,06</td>
<td valign="top" align="center">50,52</td>
<td valign="top" align="center">0,0004</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">AB</td>
<td valign="top" align="center">2194,83</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2194,83</td>
<td valign="top" align="center">15,22</td>
<td valign="top" align="center">0,0080</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Residual</td>
<td valign="top" align="center">865,42</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">144,24</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Lack of Fit</td>
<td valign="top" align="center">516,80</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">258,40</td>
<td valign="top" align="center">2,96</td>
<td valign="top" align="center">0,1623</td>
<td valign="top" align="left">not significant</td>
</tr>
<tr>
<td valign="top" align="left">Pure Error</td>
<td valign="top" align="center">348,62</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">87,15</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cor Total</td>
<td valign="top" align="center">10347,31</td>
<td valign="top" align="center">8</td>
<td/>
<td/>
<td/>
<td/>
</tr></tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Microbial cells produce EPS as a mechanism to cope with stress including antimicrobial compounds and toxic heavy metals (<xref ref-type="bibr" rid="B19">Li et al., 2022</xref>). EPS are thus, a biopolymer of biotechnology and bioprocess significance. Although, EPS have potential biotechnological application in heavy metal bioremediation, there is a paucity in bioprocessing development for the production and application of EPS at industrial scale. This study demostrated that the yields of EPS can be enhanced in liquid cultures through the growth of <italic>Bacillus</italic> MHSD_36 under heavy metal stress (<xref ref-type="table" rid="T1">Table 1</xref>). The highest volumetric yield (1.65 g/L EPS) was attained through Pb (5.23 mg/L) induction at 10.75 h (<xref ref-type="fig" rid="F1">Figure 1</xref>). <xref ref-type="bibr" rid="B49">Zheng et al. (2008)</xref> reported a maximum volumetric yield of 0.8 g/L, equivalent to a substrate productivity of 0.04 g/g of sucrose for <italic>Bacillus sp</italic> MBFF19. A study of <xref ref-type="bibr" rid="B47">Xiong et al. (2010)</xref> reported a volumetric yield of 2.93 g/L from <italic>Bacillus licheniformis</italic> CGMCC 2876. The EPS were dominated by hydroxyl, carboxylate and ester functional groups (<xref ref-type="bibr" rid="B47">Xiong et al., 2010</xref>). This comparison illustrates the influence of extrinsic factors on EPS production (<xref ref-type="bibr" rid="B17">Jyoti et al., 2024</xref>). Morover, EPS production from <italic>Bacillus</italic> MHSD_36 was dependant on the growth phase. This is supported by a study of <xref ref-type="bibr" rid="B14">Ibarburu et al. (2007)</xref> which reported that the production of EPS from <italic>Oenococcus oeni</italic> began in the exponential growth phase. Furthermore, stress has been reported to induce and enhance the production of EPS in bacteria (<xref ref-type="bibr" rid="B35">Sengupta et al., 2018</xref>). The experimental data illustrated that the induction of MHSD_36 with Pb at mid log-phase (10h) (<xref ref-type="fig" rid="F2">Figure 2</xref>) resulted in maximum EPS yield. The results from this study are congruent with the study of <xref ref-type="bibr" rid="B27">Mohite et al. (2018)</xref>, which illustrated that the presence of heavy metal enhanced the production of EPS by <italic>Pantoea agglomerans</italic>. The addition of heavy metals, Cd and Cr, has also been shown to significantly increase the EPS content in the range of 36.2 to 60.67 mg/g dry cell (<xref ref-type="bibr" rid="B48">Zeng et al., 2020</xref>). Furthermore, increasing the metal concentration above 8 and 30 mg/L for Cd and Cr, respectively, resulted in a significant drop in the EPS content (<xref ref-type="bibr" rid="B48">Zeng et al., 2020</xref>). A similar trend was observed in the current study (<xref ref-type="fig" rid="F2">Figure 2</xref>). Thus, it is apparent that excessively high heavy metal concentration are toxic to the bacteria and have a negative impact on the EPS yields (<xref ref-type="bibr" rid="B27">Mohite et al., 2018</xref>; <xref ref-type="bibr" rid="B48">Zeng et al., 2020</xref>). The observed experimental data also illustrate that EPS production in <italic>Bacillus</italic> MHSD_36 is growth related. Thus, increasing the biomass yields can significantly increase the EPS volumetric yield ultimately making the process to be economical. This strategy of applying heavy metal stress to induce the production of EPS and enhance their yield in liquid culture is further supported by the study of <xref ref-type="bibr" rid="B48">Zeng et al. (2020)</xref>. The study reported that the production and secretion of EPS from <italic>Bacillus</italic> sp. S3 was stimulated by the presence of cadmiun, copper and chromium metal ions (<xref ref-type="bibr" rid="B48">Zeng et al., 2020</xref>).</p>
<p>The use of synthetic growth media is an expensive production technology for the EPS production. Garden waste, therefore, offers an abundant and renewable alternative source of carbon as well as nitrogen (<xref ref-type="bibr" rid="B45">Wenting et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Liu et al., 2023</xref>). Currently there are limited technologies for the recycling or valorisation of garden which is consequently a burden to municipal landfills (<xref ref-type="bibr" rid="B23">Liu et al., 2023</xref>). Thus, a valorisation strategy has the potential to reduce municipal landfill managemrnt cost by 37-50% and greenhouse gas emission by 40% (<xref ref-type="bibr" rid="B15">Jalalipour et al., 2025</xref>). Garden waste derived compost was shown to be a potential nutrient (carbon and nitrogen) source for EPS production from <italic>Bacillus</italic> sp. MHSD_36. This is attributable to the high fiber and protein content of the compost, 72.95 and 8.45 %, respectively, (<xref ref-type="table" rid="T3">Table 3</xref>). The experimental data illustrared that the volumetric yield of EPS (1.12 g/L) from <italic>Bacillus</italic> sp. MHSD_36 cultured in compost was comparable to the sucrose based media (<xref ref-type="fig" rid="F3">Figure 3</xref>). Moreover, the use of compost as the culture media did not alter the fucntional properties of the EPS (<xref ref-type="fig" rid="F4">Figure 4</xref>). The functional group composition of the EPS ranged in the 4000-400 cm<sup>&#x02212;1</sup> region of the FTIR spectra (<xref ref-type="fig" rid="F4">Figure 4</xref>). The observed spectrum in <xref ref-type="fig" rid="F4">Figure 4</xref> are characteristics functional groups from EPS polymers (<xref ref-type="bibr" rid="B19">Li et al., 2022</xref>). In addition, the EPS extracts from the compost and sucrose cultures samples were composed of hydroxyl groups which corresponds to peak 3434 cm<sup>&#x02212;1</sup> (<xref ref-type="fig" rid="F4">Figure 4</xref>). The presence of hydroxyl groups is charateristics of EPS which are mainly composed of carbohydrates including glucose, fructose, galactose, mannose and arabinose. The monomers are rich in ionizable functional groups; hydroxyl and carboxyl groups (<xref ref-type="bibr" rid="B19">Li et al., 2022</xref>) which have been shown to be responsible for metal bisoption (<xref ref-type="bibr" rid="B6">Cui et al., 2020</xref>). The signal at 1090 and 930 cm<sup>&#x02212;1</sup> for EPS (<xref ref-type="fig" rid="F4">Figure 4</xref>) could be attributed to the presence of amine or carboxyl functional groups. The signal at 1045 cm<sup>&#x02212;1</sup> could be attributed phosphoryl group from phospholipids. <xref ref-type="bibr" rid="B27">Mohite et al. (2018)</xref> reported that the changes in the infrared spectrum absorption bands, of bacterial cells treated with Pb and Cr, was attributed to the ionization of functional groups. The identified functional groups entailed hydroxyl, amino, carboxyl, and sulphonate, which consequently bind to the heavy metals.</p>
<p>The biotechnological potential of using microbial EPS can be improved further, through the recycling and the reuse of the EPS as a heavy metal biosorbent. The EPS used in the biosorption of Pb was successfully recovered and subsequently re-used in a second round of Pb biosorption. The use of acid was sufficient to recover the EPS, through precipitation and the recovered EPS was successfully re-used in Pb heavy metal biosorption (<xref ref-type="fig" rid="F5">Figure 5</xref>). The residual Pb was 6.27 mg/L and 5.57 mg/L for the crude and acid recovered EPS, respectively (<xref ref-type="fig" rid="F5">Figure 5</xref>), illustrating that the recovered EPS was effective in Pb biosorption. Acidic conditions have been reported to reduce the biosorption capacity of EPS to heavy metals (<xref ref-type="bibr" rid="B5">Conc&#x000F3;rdio-Reis et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Ahamed et al., 2024</xref>). Acidic conditions result in a significant amount of H<sup>&#x0002B;</sup> in solution, which consequently compete with the heavy metals for adsorption (<xref ref-type="bibr" rid="B44">Wei et al., 2015</xref>). Furthermore, the functional groups on the surface of EPS become positively charged under acidic conditions, thereby reducing their heavy metal biosorption capacity (<xref ref-type="bibr" rid="B2">Ahamed et al., 2024</xref>). However, under highly acidic conditions, EPS degrade and become more soluble. Thus, the use of acid to recover EPS requires optimisation to avoid degradation and loss of EPS as well as preserve of the efficacy of the EPS in subsequent rounds of metal biosorption (<xref ref-type="bibr" rid="B46">Wu et al., 2020</xref>).</p>
<p>Bacterial cell wall hydrophobicity has been illustrated to play an important role in toxic heavy metal resistance (<xref ref-type="bibr" rid="B25">Mat et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Maity et al., 2023</xref>). Therefore, the simultanaeous application of EPS with hydrophobicity components is an attractive strategy to enhance the Pb biosorption capacity of the EPS. The experimental data showed that a cocktail mixture of the EPS and the bacterial hydrophobicity components significantly enhanced the Pb biosorption capacity (<xref ref-type="table" rid="T4">Table 4</xref>). The presence of teichoic acids and lipoteichoic acids, which are major cell wall components which contribute to the cell hydrophobicity, (<xref ref-type="bibr" rid="B30">Poxton, 2015</xref>) explains the strong ability of the hydrophobicity components in heavy metal biosorpion. <xref ref-type="bibr" rid="B29">Moriwaki et al. (2013)</xref> reported that lipoteichoic acid-defective strains of <italic>Bacillus subtilis</italic> had a lower biosorption for rare earth ions compared to wild type strains. The addition of hydrophobicity components in the metal remediation is advantageous due to the presence of lipoteichoic acids which adsorbs metal ions and enhance the aggregation of the biosorbent thereby ensuring rapid recovery (<xref ref-type="bibr" rid="B29">Moriwaki et al., 2013</xref>). Moreover, the abundance of phosphate functional groups in the hydrophobicity components has been reported to provide primary binding sites for metal ions which consequently enhances metal biosorption during bioremediation (<xref ref-type="bibr" rid="B13">Huang et al., 2025</xref>). Thus the EPS and cell hydrophobicity components mixture, greatly enhanced the biosorption efficacy of Pb due to the carboxyl and phosphate functional groups present in the teichoic and lipoteichoic acids from the hydrophobicity components (<xref ref-type="bibr" rid="B16">Jin et al., 2014</xref>). Futhermore the compactness and porosity of the EPS and cell hydrophobicity components can be determined using scanning electron microscopy and compared to that of the EPS to illustrate the robustness of the former in metal biosorption (<xref ref-type="bibr" rid="B36">Shen et al., 2022</xref>).</p>
<p>The biotechnological potential of EPS from <italic>Bacillus</italic> MHSD_36 can be enhanced through strategies for the sustainable bioprocess development and optimization of the biosorption efficiency. The culturing of strain MHSD_36 under heavy metal stress was shown to be a potential strategy for enhancing the yield of EPS. The strain can also be cultured using compost, as a nutrient source. The EPS yield obtained in compost are significant and comparable to the yield obtained with sucrose-based media. Moreover, the biosorption efficiency of the EPS was significantly enhanced by combining with hydrophobicity components. The EPS was also shown to be recoverable and reusable following application in biosorption of Pb.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The data from the Whole Genome Shotgun project has been deposited at NCBI GenBank under the accession JAVBIS000000000, BioSample accession number SAMN36845528, and BioProject accession number PRJNA1002565. The version described in this article s JAVBIS000000000.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>PM: Formal analysis, Funding acquisition, Writing &#x02013; original draft, Resources, Software, Visualization, Conceptualization, Methodology, Supervision, Project administration, Data curation, Investigation, Writing &#x02013; review &#x00026; editing, Validation. MS-D: Writing &#x02013; review &#x00026; editing, Funding acquisition, Conceptualization, Resources, Validation, Supervision.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to acknowledge the South African National Research foundation (NRF), Thuthuka grant no. TTK210216586709 and Postdoctoral grant no. PSTD2204082662, for the financial support for this study.</p></ack>
<sec sec-type="COI-statement" id="conf1">
<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="correction note" id="s15">
<title>Correction note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p></sec>
<sec sec-type="ai-statement" id="s8">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
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<title>Publisher&#x00027;s note</title>
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<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2025.1650222/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1650222/full#supplementary-material</ext-link></p>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1988492/overview">Duraipandiyan Veeramuthu</ext-link>, Loyola College, India</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1266703/overview">Hiran Kanti Santra</ext-link>, Vidyasagar University, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3247285/overview">Andres Garcia</ext-link>, Universidad Aut&#x000F3;noma del Estado de Morelos, Mexico</p></fn>
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