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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.2026.1759060</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Methods</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Triplex viability PCR for simultaneous quantification of <italic>Lactobacillus acidophilus</italic>, <italic>Streptococcus thermophilus</italic>, and <italic>Bifidobacterium bifidum</italic> in live microbial formulations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Del Pio</surname>
<given-names>Luca</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3323315"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Catone</surname>
<given-names>Stefania</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3324953"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Pisani</surname>
<given-names>Giulio</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Franciosa</surname>
<given-names>Giovanna</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/298382"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<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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</contrib-group>
<aff id="aff1"><label>1</label><institution>National Center for the Control and Evaluation of Medicines, Istituto Superiore di Sanit&#x00E0;</institution>, <city>Rome</city>, <country country="it">Italy</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Biochemistry, Sapienza University</institution>, <city>Rome</city>, <country country="it">Italy</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Giovanna Franciosa, <email xlink:href="mailto:giovanna.franciosa@iss.it">giovanna.franciosa@iss.it</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-10">
<day>10</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1759060</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Del Pio, Catone, Pisani and Franciosa.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Del Pio, Catone, Pisani and Franciosa</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-10">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>
<p>Live microbial formulations frequently contain strains of <italic>Lactobacillus acidophilus</italic>, <italic>Streptococcus thermophilus</italic> and <italic>Bifidobacterium bifidum</italic> in combination. Accurate determination of microbial identity and viable counts is essential for ensuring product functionality and to meet regulatory requirements. Here, a triplex propidium monoazide (PMA) qPCR assay, referred to as triplex viability PCR (vPCR), was developed for the identification, quantification, and viability assessment of these key microbial species. Primers and TaqMan probes were first evaluated for compatibility and specificity. Heat treatments were applied to inactivate microbial cells, and optimal PMA concentrations were determined to effectively discriminate between live and dead microbial cells. Amplification conditions were optimized to enable the simultaneous generation of standard curves for all three target species using their respective primer/probe sets. The triplex vPCR assay produced three distinct amplification signals and the corresponding standard curves demonstrated good assay reproducibility, with R<sup>2</sup> values greater than 0.98 and reaction efficiencies between 90 and 110%. The optimized protocol allowed accurate viable quantification of <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> over a range of approximately 10 to 10<sup>7</sup>&#x202F;CFU/mL, and of <italic>S. thermophilus</italic> over 30 to 3&#x00D7;10<sup>7</sup> CFU/ml. Application of the protocol to a commercial multi-species live microbial formulation provided consistent viable quantification for all three species. Plate counts were generally lower than both triplex qPCR and triplex vPCR measurements, while triplex vPCR values were lower than triplex qPCR, reflecting selective exclusion of DNA from dead cells. By combining multiplexing, high-efficiency reagents, and a PMA pretreatment that selectively prevents amplification from non-viable cells, this triplex vPCR method overcomes the limitations of culture-dependents techniques and standard qPCR, improves analytical throughput, reduces variability, ensuring accurate quantification of viable microorganisms.</p>
</abstract>
<kwd-group>
<kwd>
<italic>B. bifidum</italic>
</kwd>
<kwd>
<italic>L. acidophilus</italic>
</kwd>
<kwd>live biotherapeutic products</kwd>
<kwd>multiplex qPCR</kwd>
<kwd>probiotics</kwd>
<kwd>propidium monoazide</kwd>
<kwd>
<italic>S. thermophilus</italic>
</kwd>
<kwd>viability PCR</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research received internal funding from Istituto Superiore di Sanit&#x00E0;.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="8"/>
<word-count count="5587"/>
</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="sec1">
<label>1</label>
<title>Introduction</title>
<p>Over the past decades, knowledge about the beneficial effects of specific live microbial strains and their applications across different health conditions has grown considerably, along with the understanding that the bacteria must be alive and administered in sufficient quantities to confer the intended health benefits. At the same time, the range of products containing high levels of live microorganisms, including probiotic dietary supplements and live biotherapeutic products (LBPs), has expanded, highlighting the need for accurate and efficient quality control (<xref ref-type="bibr" rid="ref21">O&#x2019;Toole et al., 2017</xref>; <xref ref-type="bibr" rid="ref10">Forssten et al., 2020</xref>; <xref ref-type="bibr" rid="ref19">McChalicher and Auni&#x0146;&#x0161;, 2022</xref>; <xref ref-type="bibr" rid="ref4">Campaniello et al., 2023</xref>).</p>
<p>These formulations often contain multiple microbial species. An accurate assessment of the identity, number and viability of each microbial species is essential to verify label claims and ensure consistent product quality, as required for LBPs and recommended for probiotic supplements (<xref ref-type="bibr" rid="ref8">FAO/WHO, 2002</xref>; <xref ref-type="bibr" rid="ref14">International Probiotics Association, 2017</xref>; <xref ref-type="bibr" rid="ref7">European Pharmacopoeia Commission, 2019</xref>).</p>
<p>Viability and quantification of microorganisms in products are traditionally evaluated using culture-based methods, such as plate counting. Identification typically relies on selective media and may require additional biochemical or molecular characterization. Although widely accepted and still considered the gold standard, these methods have several well-known limitations, including long incubation times, labor-intensive procedures, and reduced sensitivity in detecting stressed or slow-growing cells, such as viable but non-culturable (VBNC) cells (<xref ref-type="bibr" rid="ref3">Boyte et al., 2023</xref>; <xref ref-type="bibr" rid="ref24">Shehata et al., 2025</xref>).</p>
<p>Moreover, they often lack the specificity needed to discriminate among species with similar growth requirements and phenotypic characteristics. For this reason, several alternative methods have been developed to assess the quality of live microbial products. These include nucleic acid-based approaches (e.g., PCR, genome sequencing, and hybridization techniques), immunological and cell-based assays (e.g., ELISA and flow cytometry) and biophysical methods (e.g., spectroscopy and mass spectrometry) (<xref ref-type="bibr" rid="ref31">Zieli&#x0144;ska et al., 2018</xref>; <xref ref-type="bibr" rid="ref3">Boyte et al., 2023</xref>; <xref ref-type="bibr" rid="ref24">Shehata et al., 2025</xref>; <xref ref-type="bibr" rid="ref28">Sun et al., 2025</xref>).</p>
<p>However, most of these approaches cannot simultaneously assess identity, viability and quantity in a single workflow, necessitating the combined use of multiple techniques, thus increasing costs, complexity and variability (<xref ref-type="bibr" rid="ref28">Sun et al., 2025</xref>). Propidium monoazide (PMA) quantitative PCR (qPCR), also referred to as viability-PCR (vPCR), has emerged as a promising approach to overcome these limitations (<xref ref-type="bibr" rid="ref6">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="ref29">Wendel, 2022</xref>). PMA selectively binds to the DNA of membrane-compromised (dead or severely injured) cells and, upon light activation, prevents its subsequent amplification, thereby enabling the selective detection of intact and viable cells (<xref ref-type="bibr" rid="ref20">Nocker et al., 2007</xref>). In this context, we recently developed a vPCR assay for detection of <italic>Lactobacillus acidophilus</italic> and <italic>Bifidobacterium bifidum</italic> in separate reactions (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>).</p>
<p>The present study advances our previous approach by expanding the method from a single-target vPCR to a multiplex vPCR format and by extending the assay to include a third microbial species (<italic>Streptococcus thermophilus</italic>). The optimized triplex assay was applied to a commercial multi-species live microbial formulation, demonstrating its efficiency and practical relevance for quantitative viability assessment and quality control.</p>
<p>To the best of our knowledge, methods for the simultaneous identification of multiple viable bacterial species in probiotic and LBP preparations are currently lacking; therefore, the approach described here represents a rapid, sensitive, and cost-effective alternative.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Microbial strains and growth conditions</title>
<p>The microorganisms used in this study included three &#x201C;reference&#x201D; strains of the target species, i.e., <italic>L. acidophilus</italic> DSM 20079, <italic>S. thermophilus</italic> DSM 20617, and <italic>B. bifidum</italic> DSM 20456; and eight strains from non-target species, including <italic>L. delbruecki</italic> subsp. <italic>bulgaricus</italic> DSM 20081, <italic>L. delbruecki</italic> subsp. <italic>lactis</italic> DSM 20072, <italic>B. breve</italic> DSM 20213, <italic>B. animalis</italic> subsp. <italic>lactis</italic> DSM 10140, <italic>Lactiplantibacillus plantarum</italic> DSM 20174, <italic>Lacticaseibacillus paracasei</italic> DSM 5622, <italic>Bacillus clausii</italic> DSM 8716, and <italic>Enterococcus faecium</italic> SF68. All strains were obtained from the German Collection of Microorganisms and Cell Cultures (DSMZ Braunschweig, Germany), except for <italic>E. faecium</italic> SF68 which was sourced from the Istituto Superiore di Sanit&#x00E0; culture collection (Rome, Italy). Their identity was confirmed by 16S rDNA sequencing, as described by <xref ref-type="bibr" rid="ref2">Boye et al. (1999)</xref>. Strains were stored at &#x2013; 80&#x202F;&#x00B0;C in microbank cryogenic vials (Prolab Diagnostics, Richmond Hill, ON, Canada) until use.</p>
<p><italic>S. thermophilus</italic> was routinely cultured in tryptone soy broth or agar (TSB/TSA) (Oxoid, ThermoFisher Scientific, Basingstoke, UK) under aerobic conditions at 37&#x202F;&#x00B0;C for 24&#x202F;h. Lactobacilli, bifidobacteria and enterococci strains were grown in de Man, Rogosa, Sharpe broth or agar (MRSB/MRSA) (Oxoid) supplemented with 0.05% L-cysteine HCl when required, and incubated anaerobically at 37&#x202F;&#x00B0;C for 24&#x2013;48&#x202F;h. Anaerobic jars and gas generating kits (Oxoid) were used to create the anaerobic conditions. <italic>B. clausii</italic> was cultured on nutrient agar (pH &#x2053; 9) and incubated aerobically at 37&#x202F;&#x00B0;C for 48&#x202F;h.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Preparation of heat-killed suspensions</title>
<p>Heat-killed suspensions of <italic>L. acidophilus</italic> DSM 20079 and <italic>B. bifidum</italic> DSM 20456 were prepared by heating at 100&#x202F;&#x00B0;C for 10&#x202F;min, as previously described (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>). These conditions did not fully inactivate <italic>S. thermophilus</italic> DSM 20617. Therefore, 1&#x202F;mL aliquots of overnight broth cultures of this strain were centrifuged, washed with 0.9% NaCl, and resuspended in the same saline solution to an optical density at 600&#x202F;nm (OD600) of approximately 1; the resulting suspensions were then subjected to heat treatments at 100&#x202F;&#x00B0;C for 15, 20, 22, 25 and 30&#x202F;min. Lethality was confirmed by plating on TSA. All experiments were performed in duplicate.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Enumeration by plate count</title>
<p>Serial dilutions of overnight cell suspensions of the three target strains, previously adjusted to an OD600 &#x2053; 1, were spread on selective agar media. Specifically, <italic>S. thermophilus</italic> was enumerated on M17 agar (Biolife, Milan, Italy), <italic>L. acidophilus</italic> on MRSA supplemented with 0.002% bromophenol blue (<xref ref-type="bibr" rid="ref1">Aureli et al., 2008</xref>), and <italic>B. bifidum</italic> on Bifidus Selective Medium agar (Sigma-Aldrich, St. Louis, Missouri). The plates were then incubated at 37&#x202F;&#x00B0;C for 48&#x2013;72&#x202F;h under aerobic or anaerobic conditions, according to the target strain requirements. Subsequently, plates containing 30&#x2013;300 presumptive colonies were used to enumerate the microorganisms. Results were expressed as colony-forming units (CFU) per mL of broth culture. For enumeration of the targeted species in live microbial formulations, experiments were carried out in triplicate for each target strain, and data were recorded as mean &#x00B1; standard deviation.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>DNA extraction</title>
<p>For specificity verification, DNA was extracted from pure broth cultures of all strains listed above using a Mag-Bind cfDNA kit (Omega Bio-Tek, Norcross, GA, USA).</p>
<p>To establish standard curves for the target strains, genomic DNA was extracted from pure broth cultures of the reference strains using the DNeasy Tissue kit (Qiagen, Hilden, Germany), following the manufacturer&#x2019;s instructions. The quantity and quality of extracted DNA were assessed using an ultraviolet spectrophotometer (Biophotometer, Eppendorf, Milan, Italy). DNA samples were stored at &#x2013; 20&#x202F;&#x00B0;C until use.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Primers and TaqMan probes</title>
<p>The sequences of the primers and TaqMan probes used in this study to simultaneously detect <italic>L. acidophilus</italic>, <italic>S. thermophilus</italic> and <italic>B. bifidum</italic>, are shown in <xref ref-type="table" rid="tab1">Table 1</xref>. The fluorescent labels of the three species-specific probes were chosen to allow simultaneous multiplex detection, with ROX dye used as the passive reference. Primers and TaqMan probes were synthesized by Integrated DNA Technologies (IDT) (Leuven, Belgium).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Primers and probes used in this study.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Primer/probe set</th>
<th align="left" valign="top">Sequence</th>
<th align="left" valign="top">Modification<sup>c</sup></th>
<th align="left" valign="top">Target gene</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4"><italic>L. acidophilus<sup>a</sup></italic></td>
</tr>
<tr>
<td align="left" valign="top">La forward primer</td>
<td align="left" valign="top">5&#x2032;- GAA AGA GCC CAA ACC AAG TGA TT - 3&#x2032;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">La probe</td>
<td align="left" valign="top">5&#x2032;- TAC CAC TTT GCA GTC CTA CA - 3&#x2032;</td>
<td align="left" valign="top">5&#x2019;Cy5/TAO/IBRQ 3&#x2032;</td>
<td align="left" valign="top">Intergenic spacer region</td>
</tr>
<tr>
<td align="left" valign="top">La reverse primer</td>
<td align="left" valign="top">5&#x2032;- CTT CCC AGA TAA TTC AAC TAT CGC TTA- 3&#x2019;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4"><italic>B. bifidum<sup>b</sup></italic></td>
</tr>
<tr>
<td align="left" valign="top">Bb forward primer</td>
<td align="left" valign="top">5&#x2032;- ACC GAA TTC GCC TGT CAC TT - 3&#x2032;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bb probe</td>
<td align="left" valign="top">5&#x2032;- CCG CTG GAT GTG AAC - 3&#x2032;</td>
<td align="left" valign="top">5&#x2019; FAM/BHQ1 3&#x2019;</td>
<td align="left" valign="top">ATP-binding protein gene</td>
</tr>
<tr>
<td align="left" valign="top">Bb reverse primer</td>
<td align="left" valign="top">5&#x2032;- ACG GCG CGG ATT CGT&#x202F;&#x2212;&#x202F;3&#x2032;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4"><italic>S. thermophilus<sup>c</sup></italic></td>
</tr>
<tr>
<td align="left" valign="top">St forward primer</td>
<td align="left" valign="top">5&#x2032;- TGA AGC TTT AGC GAC ACT AGT AA - 3&#x2019;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">St probe</td>
<td align="left" valign="top">5&#x2032;- TCC TCG CTT TGG ACT TGG TCA TGG - 3&#x2019;</td>
<td align="left" valign="top">5&#x2019; SUN/ZEN/IBFQ 3&#x2019;</td>
<td align="left" valign="top">ATPase V gene</td>
</tr>
<tr>
<td align="left" valign="top">St reverse primer</td>
<td align="left" valign="top">5&#x2032;- GCA GAG ACA GCT AGA AAG AGA C - 3&#x2019;</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup><xref ref-type="bibr" rid="ref13">Haarman and Knol (2006)</xref>. <sup>b</sup><xref ref-type="bibr" rid="ref26">Singh et al. (2013)</xref>. <sup>c</sup>This study.</p>
</table-wrap-foot>
</table-wrap>
<p>Specifically, the primers and TaqMan probes used for <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> were the same as those used in our previous work, except for the Cy5 fluorophore of the <italic>L. acidophilus</italic> probe that replaced the previously used FAM fluorophore (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>).</p>
<p>In contrast, primers and TaqMan probes specific for <italic>S. thermophilus</italic> were newly designed using the online tools available on the IDT website (<ext-link xlink:href="https://eu.idtdna.com/Primerquest/Home/Index" ext-link-type="uri">https://eu.idtdna.com/Primerquest/Home/Index</ext-link>). The designed sequences were subsequently evaluated to exclude potential heterodimer formation with the primer/probe sets for <italic>L. acidophilus</italic> and <italic>B. bifidum</italic>. The sequences targeted the <italic>S. thermophilus</italic> species-specific <italic>ATPase</italic> V gene (GenBank accession no CP019935.1) (<xref ref-type="bibr" rid="ref27">Stachelska et al., 2024</xref>). Their specificity was assessed <italic>in silico</italic> by Basic Local Alignment Search Tool (BLAST) analysis using nucleotide tool on standard database nucleotide collection (nr/nt) (NCBI), and <italic>in vitro</italic> by singleplex qPCR using the <italic>S. thermophilus</italic> primer/probe set with genomic DNA from all strains listed above.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Triplex qPCR assay</title>
<p>The triplex qPCR assay was performed using the Applied Biosystems (AB) 7,500 Real-Time PCR System (Waltham, MA, USA) with software version 2.3. The cycling conditions consisted of an initial denaturation at 95&#x202F;&#x00B0;C for 2&#x202F;min, followed by 45&#x202F;cycles of denaturation at 95&#x202F;&#x00B0;C for 10&#x202F;s and annealing/extension at 60&#x202F;&#x00B0;C for 30&#x202F;s. Each reaction (20&#x202F;&#x03BC;L final volume) consisted of 1X SensiFast Lo-ROX Master Mix (Aurogene, Rome, Italy), 250&#x202F;nM of each primer, 250&#x202F;nM of each TaqMan probe and 6&#x202F;&#x03BC;L of template DNA. To verify the absence of contamination and non-specific amplification, blank controls were prepared by replacing DNA with DNAse/RNAse-free water (Bioline, London, UK). All triplex qPCR assays were run in duplicate.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Creation of standard curves</title>
<p>To quantify <italic>L. acidophilus</italic>, <italic>S. thermophilus</italic> and <italic>B. bifidum</italic> in test samples, the cycle threshold (Ct) values obtained by triplex qPCR were interpolated from standard calibration curves. These curves were prepared from 10-fold serial dilutions of genomic DNA extracted from broth cultures of <italic>L. acidophilus</italic> DSM 20079, <italic>S. thermophilus</italic> DSM 20617, and <italic>B. bifidum</italic> DSM 20456, for which the viable cell counts were determined by the plate count method and expressed as CFU/ml. The dilution series used to generate the standard curves comprised at least seven concentration levels, corresponding to approximately 10&#x2013;10<sup>7</sup>&#x202F;CFU/mL. Genomic DNA stocks were divided into single-use aliquots and stored at &#x2212;20&#x202F;&#x00B0;C to prevent repeated freeze&#x2013;thaw cycles prior to standard curve construction. The experiments were performed three times.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Optimization of PMA treatment</title>
<p>The PMA treatment used to differentiate viable from dead <italic>S. thermophilus</italic> cells was optimized following a procedure adapted from that previously applied to <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>). Briefly, overnight broth cultures of the three target microorganisms were adjusted to OD600&#x202F;~&#x202F;1 and divided into live and heat-inactivated aliquots, with loss of viability verified by plate count. PMA (Biotium, Fremont, CA, USA) at final concentrations of 25, 50 and 100&#x202F;&#x03BC;M was added to 250&#x202F;&#x03BC;L aliquots and incubated in the dark for 10&#x202F;min. All samples were placed on ice and photoactivated for 5&#x202F;min using a 500&#x202F;W halogen light source at 20&#x202F;cm distance, under gentle agitation.</p>
<p>DNA was then extracted and analyzed by singleplex qPCR with the species- specific primer/probe sets (two replicates). PMA cytotoxicity was evaluated by comparing plate counts of treated versus untreated live cells. The assay was conducted twice.</p>
<p>To verify the optimal PMA concentration, cell mixtures were prepared by combining 250&#x202F;&#x03BC;L of viable cells with 250&#x202F;&#x03BC;L of heat-inactivated cells; live and dead cells alone served as controls. Mixtures and controls were treated with the optimal PMA concentration as determined above, and processed in duplicates. DNA was then extracted and analyzed by qPCR. The experiment was performed twice.</p>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Application of the triplex vPCR assay for quantifying the targeted species in live microbial formulations</title>
<p>A commercial live microbial capsule products containing the three target species at labeled levels of &#x2053; 10<sup>9</sup>&#x202F;CFU/capsule were purchased, stored at 4&#x202F;&#x00B0;C, and analyzed before their expiration dates. Three capsules from the product were examined. Briefly, each capsule was suspended in 10&#x202F;mL of sterile saline. Aliquots (1&#x202F;mL) of each suspension were treated with 25&#x202F;&#x03BC;M PMA and photoactivated at the conditions described above. DNA was extracted from both PMA-treated and untreated suspensions using the DNeasy Blood and Tissue kit (Qiagen), diluted 1:100, and analyzed by triplex qPCR using <italic>L. acidophilus</italic>, <italic>S. thermophilus</italic> and <italic>B. bifidum</italic> specific primer/probe sets. Each reaction was performed in duplicate, with no-template controls included in each run. Serial dilutions of DNA from the three reference strains were prepared and analyzed in parallel (in duplicate) to generate standard curves. Concentrations of each species in the samples were calculated by interpolation against the respective standard curve, with slope and linear correlation automatically determined by the AB 7500 system software. Results were compared with those obtained by plate count as above described.</p>
</sec>
<sec id="sec12">
<label>2.10</label>
<title>Statistical analysis</title>
<p>Comparisons among analytical methods were assessed using Student&#x2019;s t-test for unpaired data (as the measurements were obtained from independent samples), and a threshold of <italic>p&#x202F;&#x003C;&#x202F;0.05</italic> was adopted to denote statistically significant differences. Statistical analyses were conducted using GraphPad Prism version 10.5.0 (San Diego, CA, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Optimization of triplex vPCR</title>
<p>The specificity of the primer/probe sets for <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> had been previously established (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>). The newly designed <italic>S. thermophilus</italic> primer/probe set was evaluated in this study and confirmed to be specific by both <italic>in silico</italic> analysis and <italic>in vitro</italic> testing (data not shown).</p>
<p>The triplex qPCR generated three distinct amplification curves with strong fluorescence signals, demonstrating that the primer/probe sets and applied conditions efficiently and accurately amplified their respective targets in a single reaction (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Amplification curves obtained in duplicate for the three primer/probe sets targeting <italic>L. acidophilus</italic>, <italic>S. thermophilus,</italic> and <italic>B. bifidum</italic>. Horizontal lines indicate the threshold fluorescence value, with ROX used as the passive reporter dye.</p>
</caption>
<graphic xlink:href="fmicb-17-1759060-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph showing fluorescence versus cycle for three bacteria: &#x002A;&#x002A;B. bifidum&#x002A;&#x002A; (blue), &#x002A;&#x002A;L. acidophilus&#x002A;&#x002A; (pink), and &#x002A;&#x002A;S. thermophilus&#x002A;&#x002A; (green).  Fluorescence increases significantly after cycle 18 for &#x002A;&#x002A;S. thermophilus&#x002A;&#x002A;, after cycle 20 for &#x002A;&#x002A;B. bifidum&#x002A;&#x002A;, and after cycle 24 for &#x002A;&#x002A;L. acidophilus&#x002A;&#x002A;.</alt-text>
</graphic>
</fig>
<p>Following DNA extraction, the average DNA yields were 92&#x202F;ng/&#x03BC;l for <italic>L. acidophilus</italic>, 60&#x202F;ng/&#x03BC;l for <italic>S. thermophilus</italic>, and 80&#x202F;ng/&#x03BC;l for <italic>B. bifidum</italic>. Standard curves obtained under triplex qPCR conditions for the three target microorganisms are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Assay reproducibility, as indicated by linear correlation (R<sup>2</sup>), and reaction efficiency (E), were within acceptable range of values, i.e., R<sup>2</sup>&#x202F;&#x003E;&#x202F;0.98 and E between 90 and 110% (<xref ref-type="bibr" rid="ref15">Kralik and Ricchi, 2017</xref>) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Standard curves and sensitivity of the triplex qPCR for the different microbial species. Each point represents the mean cycle thresholds (Ct) values of three independent experiments performed in duplicate, with error bars showing the standard deviation. E: Efficiency. R<sup>2</sup>: Coefficient of determination.</p>
</caption>
<graphic xlink:href="fmicb-17-1759060-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph showing Ct values against the log10 of target bacteria concentration (CFU/ml) for B. bifidum, L. acidophilus, and S. thermophilus. Ct values decrease linearly as bacteria concentration increases. B. bifidum is represented by blue circles, L. acidophilus by purple squares, and S. thermophilus by green triangles. A table shows efficiency (E) and R-squared (R&#x00B2;) values for each bacteria type: L. acidophilus (E: 96.2, R&#x00B2;: 0.998), S. thermophilus (E: 102.2, R&#x00B2;: 0.999), B. bifidum (E: 90.6, R&#x00B2;: 0.988).</alt-text>
</graphic>
</fig>
<p>A heat treatment of 30&#x202F;min at 100&#x202F;&#x00B0;C was necessary to inactivate <italic>S. thermophilus</italic> cells. Consistent with our findings for <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> (<xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>), a PMA concentration of 25&#x202F;&#x03BC;M was optimal for inhibiting DNA amplification from dead <italic>S. thermophilus</italic> cells while minimally affecting amplification from viable cells. In fact, the 25&#x202F;&#x03BC;M concentration caused the smallest Ct variation in live cells compared with the other PMA concentrations tested, while still producing a marked Ct increase in dead cells (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). Moreover, while the 100&#x202F;&#x03BC;M PMA concentration significantly reduced microbial counts (<italic>p&#x202F;&#x003C;&#x202F;0.05</italic>) indicating strong cytotoxicity, the 50&#x202F;&#x03BC;M and 25&#x202F;&#x03BC;M concentrations did not, with 25&#x202F;&#x03BC;M showing the lowest cytotoxic effect in live <italic>S. thermophilus</italic> cells (<xref ref-type="fig" rid="fig3">Figure 3B</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A)</bold> Effects of pretreatment with different concentrations of PMA on Ct values of live and dead <italic>S. thermophilus</italic> cells after qPCR. <bold>(B)</bold> Cytotoxic effects of different PMA concentrations on <italic>S. thermophilus</italic> cells. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</caption>
<graphic xlink:href="fmicb-17-1759060-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Chart A shows Ct values of live and dead cells at various PMA concentrations, with live cells marked by blue circles and dead cells by red squares. Chart B displays microbial counts (CFU/mL) at PMA concentrations of zero, 25, 50, and 100 micromolar, with a significant decrease of microbial counts at higher concentrations of PMA.</alt-text>
</graphic>
</fig>
<p>When aliquots of live cells (&#x2053; 10<sup>7</sup> or 10<sup>8</sup>&#x202F;CFU/mL, depending on the target microorganism) were treated with 25&#x202F;&#x03BC;M PMA, either alone or mixed with equal amounts of dead cells at the same concentrations, no significant differences in Ct values were observed between the two groups for any of the target microorganisms (<xref ref-type="fig" rid="fig4">Figure 4</xref>). This result confirmed that the selected PMA treatment conditions efficiently inhibited amplification from dead cells while allowing selective quantification of viable cells. Under these conditions, the assay limits of detection were approximately 10&#x202F;CFU/mL for <italic>L. acidophilus</italic> and <italic>B. bifidum</italic> and 30&#x202F;CFU/mL for <italic>S. thermophilus.</italic></p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Effects of pretreatment with 25&#x202F;&#x03BC;M PMA on Ct values of live cells of <italic>L. acidophilus</italic> and <italic>S. thermophilus</italic> (&#x2053; 10<sup>8</sup>&#x202F;CFU/mL) and <italic>B. bifidum</italic> (&#x2053; 10<sup>7</sup>&#x202F;CFU/mL), tested either alone or in the presence of an equal amount of dead cells. NS: No significant differences (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fmicb-17-1759060-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar graph comparing Ct values of three bacterial strains: &#x002A;L. acidophilus&#x002A;, &#x002A;B. bifidum&#x002A;, after pretreatment with 25 uM PMA. Each strain is shown with live and live plus dead cells, with no significant differences marked as &#x201C;ns&#x201D;. Live cells are in solid bars and live plus dead cells in striped bars.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Analyses of a multispecies live microbial formulation</title>
<p><xref ref-type="fig" rid="fig5">Figure 5</xref> shows the quantities of <italic>L. acidophilus</italic>, <italic>S. thermophilus</italic> and <italic>B. bifidum</italic> in a multispecies live microbial formulation, as determined by plate counts, triplex qPCR, and triplex vPCR.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Quantities of <italic>L. acidophilus</italic>, <italic>S. thermophilus,</italic> and <italic>B. bifidum</italic> in a commercial multispecies live microbial formulation as determined by plate count, triplex qPCR, and triplex vPCR. Red lines indicate the labeled quantities. Bars represent the mean values of three independent analyses performed in duplicate, while error bars indicate the corresponding standard deviation. Statistically significant differences between analytical methods, as assessed by Student&#x2019;s <italic>t</italic>-test, are indicated by &#x002A; when <italic>p&#x202F;&#x003C;&#x202F;0.05</italic>, and are shown between the corresponding bars.</p>
</caption>
<graphic xlink:href="fmicb-17-1759060-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts display Log CFU per capsule for L. acidophilus, S. thermophilus, and B. bifidum measured by plate counts, triplex qPCR, and triplex vPCR. Significant differences are marked with asterisks. Red lines indicate the amount of each bacteria as indicated in the product label: 1.23x10^9 for L. acidophilus and S. thermophilus, 1.07x10^9 for B. bifidum.</alt-text>
</graphic>
</fig>
<p>Plate counts of the three target microorganisms were significantly lower than the quantities determined by both triplex qPCR and triplex vPCR methods, except for <italic>S. thermophilus</italic> for which plate counts, although lower, did not differ significantly from the triplex vPCR results (<xref ref-type="fig" rid="fig5">Figure 5</xref>). As expected, triplex vPCR values were generally lower than those obtained by triplex qPCR, reflecting the selective exclusion of DNA from dead cells by PMA treatment; however, the difference was statistically significant only for <italic>B. bifidum</italic>.</p>
<p>Overall, the quantities of the three microorganisms determined in the product by plate counts, triplex qPCR and triplex vPCR were all significantly higher than the amounts stated on the product label (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>This work describes a novel triplex-qPCR method coupled with PMA pretreatment (triplex vPCR) enabling the simultaneous viability quantification of <italic>L. acidophilus</italic>, <italic>S. thermophilus</italic>, and <italic>B. bifidum</italic> with high specificity, sensitivity and accuracy. Despite differences in absolute DNA yield among bacterial species, the strong linear correlation observed between Ct values and bacterial counts (R<sup>2</sup>&#x202F;&#x003E;&#x202F;0.98) indicates that extraction yield variability did not significantly affect assay linearity or quantitative performance.</p>
<p>Singleplex qPCR coupled with PMA treatment has been applied for the quantification of viable <italic>L. gasseri</italic>, <italic>L. salivarius</italic>, <italic>L. acidophilus</italic>, and <italic>B. bifidum</italic> in probiotic products and LBPs (<xref ref-type="bibr" rid="ref16">Lai et al., 2017</xref>; <xref ref-type="bibr" rid="ref5">Catone et al., 2024</xref>; <xref ref-type="bibr" rid="ref12">Guo et al., 2024</xref>), as well as for <italic>S. thermophilus</italic>, and several lactic acid bacteria, including <italic>L. paracasei</italic>, <italic>L. delbruecki</italic>, <italic>L. helveticus</italic>, <italic>L. plantarum, Lacticaseibacillus rhamnosus</italic>, and <italic>Lactococcus lactis</italic> in yogurt and other fermented milk products (<xref ref-type="bibr" rid="ref11">Garc&#x00ED;a-Cayuela et al., 2009</xref>; <xref ref-type="bibr" rid="ref23">Scariot et al., 2018</xref>; <xref ref-type="bibr" rid="ref30">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="ref25">Shi et al., 2022</xref>; <xref ref-type="bibr" rid="ref18">Marole et al., 2024</xref>).</p>
<p>In contrast, to the best of our knowledge, multiplex qPCR assays for the analysis of multispecies microbial formulations have not yet been reported.</p>
<p>In the present assay, the three primer/probe sets, each labeled with a distinct fluorophore, were successfully combined in a single reaction, showing high specificity for their respective target microorganisms and no cross-reactivity either among the targets or with non-target microorganisms.</p>
<p>The implementation of multiplexing, together with the use of a high-efficiency master mix, further improved analytical throughput by reducing both assay time and reagent consumption.</p>
<p>In addition, pretreatment with 25&#x202F;&#x03BC;M PMA effectively prevented DNA amplification from dead microbial cells, allowing selective quantification of viable cells while inducing the lowest cytotoxic effects on live cells. This PMA concentration is lower than the 50&#x202F;&#x03BC;M and 100&#x202F;&#x03BC;M concentrations used by other authors in combination with singleplex qPCR for viable probiotic detection (<xref ref-type="bibr" rid="ref11">Garc&#x00ED;a-Cayuela et al., 2009</xref>; <xref ref-type="bibr" rid="ref16">Lai et al., 2017</xref>; <xref ref-type="bibr" rid="ref23">Scariot et al., 2018</xref>; <xref ref-type="bibr" rid="ref30">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="ref25">Shi et al., 2022</xref>; <xref ref-type="bibr" rid="ref12">Guo et al., 2024</xref>; <xref ref-type="bibr" rid="ref18">Marole et al., 2024</xref>); however, PMA-induced cytotoxicity was not preliminary evaluated in most of those studies, which may have led to underestimation of viable cell numbers.</p>
<p>Overall, these improvements greatly enhance the method&#x2019;s practical applicability for quality control of multispecies formulations, supporting accurate measurements and consumer confidence.</p>
<p>When applied to a marketed formulation, quantitative results generated by the triplex vPCR assay were consistently higher than plate count values and lower than those obtained by triplex qPCR for all three target microorganisms. This highlights the advantages of the method, as it overcomes the intrinsic limitations of conventional approaches: plate counts underestimate microbial numbers by failing to detect physiologically stressed or VBNC cells, whereas standard qPCR overestimates counts by amplifying DNA from both live and dead cells. By selectively excluding DNA from non-viable cells, the triplex vPCR allows a more accurate assessment of total viable beneficial bacteria, including VBNC cells that may remain metabolically active and resuscitate under favorable conditions (<xref ref-type="bibr" rid="ref22">Oliver, 2005</xref>).</p>
<p>Notably, quantities measured by plate counts, triplex qPCR and triplex vPCR were all significantly higher than the declared amounts for the three microorganisms. This suggests that surplus cells may have been included in the product, which is an established practice to ensure that the labeled specifications are met through its shelf life (<xref ref-type="bibr" rid="ref9">Fiore et al., 2020</xref>). In this context, the detection limits of the triplex vPCR assay were well suited for the analysis of multispecies microbial formulations, which typically contain more than 10<sup>6</sup>&#x2013;10<sup>7</sup>&#x202F;CFU / g of live microorganisms to ensure an effective daily intake (<xref ref-type="bibr" rid="ref17">Marco et al., 2020</xref>; <xref ref-type="bibr" rid="ref3">Boyte et al., 2023</xref>).</p>
<p>Since the method was developed for live microbial formulations, the impact of different sample matrices on its performance remains to be investigated, and further studies are required to fully assess its robustness and suitability for different product types.</p>
<p>Finally, while the assay reliably distinguishes viable cells of each target species, which is advantageous when products contain a single strain per species, differentiating individual strains within the same species would require primer/probe sets targeting strain-specific genetic markers, an information that is often unavailable or insufficiently characterized.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>LD: Data curation, Methodology, Writing &#x2013; review &#x0026; editing, Software, Investigation, Formal analysis. SC: Methodology, Formal analysis, Writing &#x2013; review &#x0026; editing. GP: Supervision, Writing &#x2013; review &#x0026; editing, Funding acquisition. GF: Writing &#x2013; review &#x0026; editing, Supervision, Conceptualization, Writing &#x2013; original draft, Data curation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors are grateful to Andrea Gaggioli and Alberto Carocci (National Center for the Control and Evaluation of Medicines, Istituto Superiore di Sanit&#x00E0;) for their precious assistance with the statistical analysis.</p>
</ack>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="sec20">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. Artificial intelligence assistance (ChatGPT, OpenAI) was used solely for language editing in selected sentences. All scientific content was conceived, 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="sec21">
<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>
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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/493569/overview">Jos&#x00E9; E. Barboza-Corona</ext-link>, University of Guanajuato, Mexico</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/2329879/overview">Tlaleo Azael Marole</ext-link>, University of Pretoria, South Africa</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3191693/overview">Ping Wang</ext-link>, Chinese Academy of Quality and Inspection and Testing, China</p>
</fn>
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