<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.179929.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Brief Report</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Anaerobic fermentation of tea leaves and spent tea residues: Effects on phenolic and flavonoid contents, antioxidant capacity, and antibacterial activity</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Permata</surname>
                        <given-names>Dessy</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nayohan</surname>
                        <given-names>Sandi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wahyuni</surname>
                        <given-names>Sri</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Putri</surname>
                        <given-names>Risa</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sofyan</surname>
                        <given-names>Ahmad</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Palupi</surname>
                        <given-names>Eny</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ramdani</surname>
                        <given-names>Diky</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hartati</surname>
                        <given-names>Rika</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Jayanegara</surname>
                        <given-names>Anuraga</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7529-9770</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Animal Feed and Nutrition Modelling (AFENUE) Research Group, Institut Pertanian Bogor, Bogor, West Java, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Research Center for Animal Husbandry, Badan Riset dan Inovasi Nasional Republik Indonesia, Central Jakarta, Jakarta, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Department of Community Nutrition, Institut Pertanian Bogor, Bogor, West Java, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Department of Animal Production, Universitas Padjadjaran, Bandung, West Java, Indonesia</aff>
                <aff id="a5">
                    <label>5</label>School of Pharmacy, Institut Teknologi Bandung, Bandung, West Java, Indonesia</aff>
                <aff id="a6">
                    <label>6</label>Department of Nutrition and Feed Technology, Institut Pertanian Bogor, Bogor, West Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:Anuraga.Jayanegara@gmail.com">Anuraga.Jayanegara@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>935</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>1</day>
                    <month>6</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Permata D et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-935/pdf"/>
            <abstract>
                <title>Abstract</title>
                <sec>
                    <title>Background</title>
                    <p>Tea (
                        <italic toggle="yes">Camellia sinensis</italic>) and its brewing by-products are promising sources of phenolic-rich extracts that may serve as natural antioxidants in food systems. However, the extent to which anaerobic fermentation modifies the bioactive properties of different processed teas remains unclear. This study evaluated the effects of anaerobic fermentation on the phenolic content, antioxidant capacity, and antibacterial activity of several tea types cultivated in Indonesia.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A 2&#x00a0;&#x00d7;&#x00a0;2&#x00a0;&#x00d7;&#x00a0;4 factorial experiment with five replicates was conducted using three factors: fermentation status (unfermented vs. anaerobically fermented), material fraction (tea leaf vs. spent residue), and processed tea type (green, black, oolong, and white). Methanolic extracts prepared with 70% methanol were analyzed for total phenolic content (TPC), total flavonoid content (TFC), antioxidant capacity based on DPPH IC
                        <sub>50</sub>, and antibacterial activity against 
                        <italic toggle="yes">Staphylococcus aureus</italic> and 
                        <italic toggle="yes">Escherichia coli</italic> expressed as MIC
                        <sub>50</sub>.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Across tea types, oolong and white teas exhibited higher TPC and stronger antioxidant capacity than black tea (p&#x00a0;&lt;&#x00a0;0.05). Tea leaves consistently showed higher TPC and stronger antioxidant activity than spent residues (p&#x00a0;&lt;&#x00a0;0.05). Anaerobic fermentation increased TPC in most teas and enhanced TFC mainly in leaf samples. However, improved antioxidant capacity following fermentation was observed only in spent residues, as indicated by lower IC
                        <sub>50</sub> values. In contrast, fermentation generally increased MIC
                        <sub>50</sub> values, suggesting reduced antibacterial effectiveness.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Anaerobic fermentation differentially affected the bioactive properties of tea materials depending on tea type and material fraction. While this process was effective in enhancing the antioxidant potential of spent tea residues, it was not beneficial for improving antibacterial activity. These findings suggest that anaerobic fermentation may be a useful strategy for valorizing tea brewing by-products as antioxidant-rich functional ingredients.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>anaerobic fermentation</kwd>
                <kwd>antibacterial</kwd>
                <kwd>antioxidant</kwd>
                <kwd>phenolics</kwd>
                <kwd>tea</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100014538">
                    <funding-source>Lembaga Pengelola Dana Pendidikan</funding-source>
                    <award-id>4297/B3/DT.03.08/2025</award-id>
                    <award-id>42011/IT3/HK.07.00-4/P/B/2025</award-id>
                </award-group>
                <funding-statement>This research is funded by the Indonesian Endowment fund for Education (LPDP) on behalf of the Indonesian Ministry of Higher Education, Science and Technology and managed under the EQUITY Program (Contract No: 4297/B3/DT.03.08/2025 and No: 42011/IT3/HK.07.00-4/P/B/2025). &#x202f; </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Tea (
                <italic toggle="yes">Camellia sinensis</italic>) is widely consumed and is recognized as a rich dietary source of phenolic compounds and flavonoids, which contribute to antioxidant and antimicrobial properties and have been associated with various health-related benefits (
                <xref ref-type="bibr" rid="ref10">Nibir et al., 2017</xref>; 
                <xref ref-type="bibr" rid="ref16">Wang and Kang, 2020</xref>). The antioxidant and antibacterial effects of tea are mainly attributed to catechins, including epigallocatechin gallate (EGCG), epicatechin (EC), and epicatechin gallate (ECG) (
                <xref ref-type="bibr" rid="ref18">Zhao et al., 2014</xref>). These compounds work by neutralizing free radicals through metabolic processes in the body, thereby preventing oxidative stress associated with various degenerative diseases, including cancer, diabetes, and cardiovascular disorders (
                <xref ref-type="bibr" rid="ref16">Wang and Kang, 2020</xref>). Beyond the brewed beverage, tea processing and consumption also generate substantial quantities of spent tea residues. Although these residues are often discarded, they may retain appreciable amounts of bioactive compounds and therefore represent potential resources for the development of functional ingredients or natural antioxidants for food applications (
                <xref ref-type="bibr" rid="ref2">&#x00c7;akmak et al., 2024</xref>).</p>
            <p>Green, white, oolong, and black teas originate from the same plant, i.e., 
                <italic toggle="yes">Camellia sinensis</italic>, but differ markedly in chemical composition because they undergo different degrees of enzymatic oxidation and processing (
                <xref ref-type="bibr" rid="ref1">Alves et al., 2025</xref>). These differences influence the profile and extractability of phenolic compounds, which can translate into variation in antioxidant capacity and antibacterial activity across tea types (
                <xref ref-type="bibr" rid="ref15">Tanaka &amp; Matsuo, 2020</xref>; 
                <xref ref-type="bibr" rid="ref5">Esposito et al., 2023</xref>). Likewise, converting dried leaves into a spent residue by brewing can remove a portion of water-soluble phenolics, often lowering the functional potency of residue extracts compared with leaf extracts (
                <xref ref-type="bibr" rid="ref14">Saklar et al., 2015</xref>). Furthermore, prolonged storage of these teas may reduce their bioactive compound content (
                <xref ref-type="bibr" rid="ref6">Hazra et al., 2020</xref>), thereby decreasing their antimicrobial and antioxidant activities.</p>
            <p>Fermentation is a food-relevant bioprocessing approach that can stabilize wet plant matrices and modulate phytochemical composition through microbial and enzymatic transformations. In sealed anaerobic systems, fermentation may alter the concentration, molecular forms, and extractability of tea phenolics; for example, changes in catechins and antioxidant activity during anaerobic storage have been reported (
                <xref ref-type="bibr" rid="ref11">Nishino et al., 2007</xref>). From a food-processing perspective, a simple sealed-pouch anaerobic fermentation step may be particularly attractive for wet tea residues because it can serve as a low-input stabilization and valorization strategy. However, evidence remains limited regarding how anaerobic fermentation affects the bioactive potential of both tea leaves and spent residues across different processed tea types. Therefore, this study aimed to evaluate the effects of anaerobic fermentation, material fraction (leaf vs. spent residue), and processed tea type on total phenolic and flavonoid contents, antioxidant capacity, and antibacterial activity against 
                <italic toggle="yes">Staphylococcus aureus</italic> and 
                <italic toggle="yes">Escherichia coli.</italic>
            </p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Sample preparation</title>
                <p>Dried tea leaves representing four processed tea types (green, black, oolong, and white) were sourced as commercial products from the Indonesian Research Institute for Tea and Cinchona (PT Perkebunan Nusantara III, Bandung, West Java, Indonesia). The experiment followed a 2&#x00a0;&#x00d7;&#x00a0;2&#x00a0;&#x00d7;&#x00a0;4 factorial arrangement with three factors: fermentation status (unfermented vs. anaerobically fermented), material fraction (tea leaf vs. spent tea residue), and processed tea type (green, black, oolong, and white). For each processed tea type, two material fractions were prepared. The tea leaf fraction consisted of the original dried leaves. The spent tea residue fraction was produced by brewing the dried leaves with warm water, followed by oven-drying at 60&#x00a0;&#x00b0;C.</p>
                <p>For the anaerobic fermentation treatment, 250&#x00a0;g of each material was packed in polyethylene bags and vacuum-sealed. Water was added to the leaf fraction at a 1:2 ratio for the fermented treatment, whereas unfermented leaves were prepared without added water. All bags were stored at &#x2212;20&#x00a0;&#x00b0;C prior to fermentation. Samples were then subjected to anaerobic fermentation in the sealed pouches for 30&#x00a0;days. After fermentation, bags were opened and each sample was divided into two equal subsamples. All materials were freeze-dried and ground to pass a 1-mm sieve before analysis.</p>
            </sec>
            <sec id="sec8">
                <title>Extraction and analyses of bioactive compounds</title>
                <p>Extraction followed ISO 14502-1 using 70% methanol (Merck, Sigma Aldrich, catalogue no. 109534). Briefly, 200&#x00a0;mg of ground sample was mixed with 5&#x00a0;mL of preheated 70% methanol and incubated in a water bath for 10&#x00a0;min with vortexing every 5&#x00a0;min. After cooling to room temperature, the mixture was centrifuged at 3,500&#x00a0;rpm for 10&#x00a0;min. The supernatant was collected and the pellet was re-extracted once using the same procedure. Combined extracts were adjusted to a final volume of 10&#x00a0;mL with cold 70% methanol.</p>
                <p>Total phenolic content (TPC) was determined using the Folin&#x2013;Ciocalteu method (
                    <xref ref-type="bibr" rid="ref12">Sari et al., 2023</xref>). A diluted extract (20&#x00a0;&#x03bc;L) was mixed with 20&#x00a0;&#x03bc;L Folin&#x2013;Ciocalteu reagent (Merck, Sigma Aldrich, catalogue no. 1.09001) and vortexed for 1&#x00a0;min. After 5&#x00a0;min, 200&#x00a0;&#x03bc;L of 7% sodium carbonate (Merck, Sigma Aldrich, catalogue no. 1.06392) and 10&#x00a0;&#x03bc;L deionized water were added and mixed. The reaction was incubated in the dark at room temperature for 120&#x00a0;min and measured at 750&#x00a0;nm (Thermo Multiskan GO Microplate Reader, Massachusetts, USA). Gallic acid (10&#x2013;60&#x00a0;mg&#x00a0;L
                    <sup>&#x2212;1</sup>, Merck, Sigma Aldrich, catalogue no. 8.42649) was used for calibration. Results are reported as mg gallic acid equivalents (GAE) per g dry sample (mg GAE/g).</p>
                <p>Total flavonoid content (TFC) was measured following 
                    <xref ref-type="bibr" rid="ref12">Sari et al. (2023)</xref>. In each well, 50&#x00a0;&#x03bc;L of extract or standard solution was mixed with 100&#x00a0;&#x03bc;L methanol (blank: 150&#x00a0;&#x03bc;L methanol). Then 20&#x00a0;&#x03bc;L of 10% AlCl
                    <sub>3</sub> (Merck, Sigma Aldrich, catalogue no. 8.01081) was added and incubated for 3&#x00a0;min, followed by 20&#x00a0;&#x03bc;L of 1&#x00a0;M sodium acetate (Merck, Sigma Aldrich, catalogue no. 1.06268) and 60&#x00a0;&#x03bc;L methanol. After incubation in the dark at room temperature for 40&#x00a0;min, absorbance was measured at 430&#x00a0;nm. Quercetin (Merck, Sigma Aldrich, catalogue no. Q4951) was used as the calibration standard, and results are reported as mg quercetin equivalents (QE) per g dry sample (mg QE/g).</p>
            </sec>
            <sec id="sec9">
                <title>Antioxidant and antibacterial assays</title>
                <p>The radical-scavenging activity of 2,2-diphenyl-1-picrylhydrazyl (DPPH) was evaluated based on 
                    <xref ref-type="bibr" rid="ref3">Cheng et al. (2006)</xref> with minor modifications. Extract (80&#x00a0;&#x03bc;L) was mixed with 20&#x00a0;&#x03bc;L of DPPH solution (Merck, Sigma Aldrich, catalogue no. D9132) in a 96-well microplate, and absorbance was read at 517&#x00a0;nm. Ascorbic acid (Merck, Sigma Aldrich, catalogue no. 1.00468) and quercetin were used as positive controls and analyses were performed in triplicate. Antioxidant activity was expressed as IC
                    <sub>50</sub> (ppm), defined as the extract concentration required to scavenge 50% of DPPH radicals.</p>
                <p>Antibacterial activity was evaluated against 
                    <italic toggle="yes">Escherichia coli</italic> (Gram-negative) and 
                    <italic toggle="yes">Staphylococcus aureus</italic> (Gram-positive) using a microdilution assay adapted from 
                    <xref ref-type="bibr" rid="ref9">Nabila et al. (2025)</xref>. Mueller-Hinton broth (MHB, Merck, Sigma-Aldrich, Catalogue No. 1.10293) was used as the growth medium and inocula from 24-h cultures were adjusted to 1&#x00a0;&#x00d7;&#x00a0;10
                    <sup>6</sup> McFarland. In a 96-well microplate, 100&#x00a0;&#x03bc;L sterile MHB was added per well, followed by two-fold serial dilutions of the extracts from 400 to 25&#x00a0;ppm. Each well received 10&#x00a0;&#x03bc;L bacterial suspension (except the media control). Optical density (OD) was recorded at 540&#x00a0;nm at 0 and 24&#x00a0;h (Thermo Multiskan GO, Massachusetts, USA). Growth inhibition was calculated from OD changes relative to the growth control, and MIC
                    <sub>50</sub> (ppm) was defined as the extract concentration producing 50% growth inhibition.</p>
            </sec>
            <sec id="sec10">
                <title>Statistical analysis</title>
                <p>Data were analyzed using three-way analysis of variance (ANOVA) in CoStat software (version 6.400, CoHort software, Monterey, CA, USA), including main effects of fermentation status, material fraction, processed tea type, and their interactions. Least Significant Difference (LSD) tests were used for post hoc mean comparisons. Differences were considered significant at p&#x00a0;&lt;&#x00a0;0.05.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="results">
            <title>Results</title>
            <p>Across tea types, oolong and white teas showed higher TPC than black tea (p&#x00a0;&lt;&#x00a0;0.01), whereas black tea had the highest mean TFC (p&#x00a0;&lt;&#x00a0;0.01; 
                <xref ref-type="table" rid="T1">
Tables 1</xref>&#x2013;
                <xref ref-type="table" rid="T2">2</xref>). Tea leaves contained substantially higher TPC than spent residues. The effects of anaerobic fermentation on TPC and TFC depended on both material fraction and tea type. Fermented leaves showed a slight increase in TPC across all tea types (p&#x00a0;&lt;&#x00a0;0.01), whereas fermentation increased TFC only in green tea and black tea leaves (p&#x00a0;&lt;&#x00a0;0.01). In the residue fraction, fermentation consistently increased TPC and TFC in black tea residues, whereas the same treatment led to a consistent decline in green tea residues (p&#x00a0;&lt;&#x00a0;0.01).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Effects of fermentation, tea material, and tea types on total phenolic content.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Treatment</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Tea types</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Green tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Black tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Oolong tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">White tea</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">--------------------------------mgGAE/g sampel--------------------------------</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Non-fermented
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">111.01&#x00a0;&#x00b1;&#x00a0;0.32
                                <sup>c</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65.89&#x00a0;&#x00b1;&#x00a0;0.56
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">114.81&#x00a0;&#x00b1;&#x00a0;2.89
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">115.26&#x00a0;&#x00b1;&#x00a0;1.11
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48.61&#x00a0;&#x00b1;&#x00a0;0.03
                                <sup>c</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.15&#x00a0;&#x00b1;&#x00a0;0.10
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">79.38&#x00a0;&#x00b1;&#x00a0;0.57
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62.85&#x00a0;&#x00b1;&#x00a0;0.13
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fermented</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">118.46&#x00a0;&#x00b1;&#x00a0;0.42
                                <sup>c</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">73.65&#x00a0;&#x00b1;&#x00a0;0.15
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">122.88&#x00a0;&#x00b1;&#x00a0;0.10
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">128.36&#x00a0;&#x00b1;&#x00a0;0.37
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46.54&#x00a0;&#x00b1;&#x00a0;0.37
                                <sup>c</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.83&#x00a0;&#x00b1;&#x00a0;0.83
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">99.12&#x00a0;&#x00b1;&#x00a0;0.93
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">104.86&#x00a0;&#x00b1;&#x00a0;0.07
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">81.15&#x00a0;&#x00b1;&#x00a0;0.18
                                <sup>c</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.63&#x00a0;&#x00b1;&#x00a0;0.34
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">104.05&#x00a0;&#x00b1;&#x00a0;1.23
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">102.83&#x00a0;&#x00b1;&#x00a0;0.48
                                <sup>b</sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Significance of treatment factors</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">M&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(
                                <italic toggle="yes">p value</italic>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0,01</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>

                        <italic toggle="yes">Note</italic>: Different lowercase letters within the same column indicate significant differences (p&#x00a0;&lt;&#x00a0;0.05) based on the Least Significant Difference (LSD) test. Abbreviations: F, fermentation; M, tea material; T, processed tea type; F&#x00a0;&#x00d7;&#x00a0;M, interaction between fermentation and tea material; F&#x00a0;&#x00d7;&#x00a0;T, interaction between fermentation and processed tea type; M&#x00a0;&#x00d7;&#x00a0;T, interaction between tea material and processed tea type; F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T, interaction among fermentation, tea material, and processed tea type. Significance levels: highly significant, p&#x00a0;&lt;&#x00a0;0.01; significant, p&#x00a0;&lt;&#x00a0;0.05; ns, not significant.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Effects of fermentation, tea material, and tea types on total flavonoid content.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Treatment</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Tea types</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Green tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Black tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Oolong tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">White tea</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">--------------------------------mg QE/g sampel----------------------------</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Non-fermented
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.95&#x00a0;&#x00b1;&#x00a0;0.12
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18&#x00a0;&#x00b1;&#x00a0;0.10
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.79&#x00a0;&#x00b1;&#x00a0;0.51
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.28&#x00a0;&#x00b1;&#x00a0;0.16
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.05&#x00a0;&#x00b1;&#x00a0;0.15
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.65&#x00a0;&#x00b1;&#x00a0;0.19
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.07&#x00a0;&#x00b1;&#x00a0;0.95
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.16&#x00a0;&#x00b1;&#x00a0;0.12
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fermented</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.66&#x00a0;&#x00b1;&#x00a0;0.33
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.93&#x00a0;&#x00b1;&#x00a0;0.50
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.72&#x00a0;&#x00b1;&#x00a0;0.23
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.88&#x00a0;&#x00b1;&#x00a0;0.13
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.27&#x00a0;&#x00b1;&#x00a0;0.24
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.68&#x00a0;&#x00b1;&#x00a0;0.10
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.06&#x00a0;&#x00b1;&#x00a0;01.44
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.07&#x00a0;&#x00b1;&#x00a0;1.35
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.48&#x00a0;&#x00b1;&#x00a0;0.10
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.32&#x00a0;&#x00b1;&#x00a0;0.19
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.41&#x00a0;&#x00b1;&#x00a0;0.53
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.35&#x00a0;&#x00b1;&#x00a0;0.61
                                <sup>c</sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Significance of treatment factors</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">M&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(
                                <italic toggle="yes">p value</italic>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>

                        <italic toggle="yes">Note</italic>: Different lowercase letters within the same column indicate significant differences (p&#x00a0;&lt;&#x00a0;0.05) based on the Least Significant Difference (LSD) test. Abbreviations: F, fermentation; M, tea material; T, processed tea type; F&#x00a0;&#x00d7;&#x00a0;M, interaction between fermentation and tea material; F&#x00a0;&#x00d7;&#x00a0;T, interaction between fermentation and processed tea type; M&#x00a0;&#x00d7;&#x00a0;T, interaction between tea material and processed tea type; F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T, interaction among fermentation, tea material, and processed tea type. Significance levels: highly significant, p&#x00a0;&lt;&#x00a0;0.01; significant, p&#x00a0;&lt;&#x00a0;0.05; ns, not significant.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>The DPPH IC
                <sub>50</sub> values indicated stronger antioxidant activity, reflected by lower IC
                <sub>50</sub> values, in oolong and white teas than in black tea (
                <xref ref-type="table" rid="T3">
Table 3</xref>). Tea leaves exhibited substantially lower IC
                <sub>50</sub> values than spent residues across all tea types and fermentation statuses (p&#x00a0;&lt;&#x00a0;0.01). Fermentation increased IC
                <sub>50</sub> values in the leaf fraction in almost all tea types (p&#x00a0;&lt;&#x00a0;0.01), with white tea leaf being the only exception. In contrast, the residue fraction showed a consistent reduction in IC
                <sub>50</sub> after fermentation across all tea types (p&#x00a0;&lt;&#x00a0;0.01), indicating improved antioxidant capacity following fermentation.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Effects of fermentation, tea material, and tea types on inhibitory concentration (IC
                        <sub>50</sub>).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Treatment</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Tea types</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Green tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Black tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Oolong tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">White tea</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">------------------------------------ (ppm) ----------------------------</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Non-fermented
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">32.91&#x00a0;&#x00b1;&#x00a0;0.63
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46.14&#x00a0;&#x00b1;&#x00a0;0.71
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.95&#x00a0;&#x00b1;&#x00a0;0.21
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33.78&#x00a0;&#x00b1;&#x00a0;1.18
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">76.48&#x00a0;&#x00b1;&#x00a0;0.65
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">93.91&#x00a0;&#x00b1;&#x00a0;0.72
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48.91&#x00a0;&#x00b1;&#x00a0;0.87
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53.95&#x00a0;&#x00b1;&#x00a0;2.16
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fermented</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.9&#x00a0;&#x00b1;&#x00a0;1.50
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">59.8&#x00a0;&#x00b1;&#x00a0;0.98
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.3&#x00a0;&#x00b1;&#x00a0;1.07
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.6&#x00a0;&#x00b1;&#x00a0;2.28
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63.68&#x00a0;&#x00b1;&#x00a0;0.78
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">79.47&#x00a0;&#x00b1;&#x00a0;3.58
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40.68&#x00a0;&#x00b1;&#x00a0;3.95
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.27&#x00a0;&#x00b1;&#x00a0;1.28
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.49&#x00a0;&#x00b1;&#x00a0;0.42
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69.82&#x00a0;&#x00b1;&#x00a0;1.39
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.46&#x00a0;&#x00b1;&#x00a0;1.65
                                <sup>d</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38.39&#x00a0;&#x00b1;&#x00a0;0.58
                                <sup>c</sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Significance of treatment factors</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">M&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(
                                <italic toggle="yes">p value</italic>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>

                        <italic toggle="yes">Note</italic>: Different lowercase letters within the same column indicate significant differences (p&#x00a0;&lt;&#x00a0;0.05) based on the Least Significant Difference (LSD) test. Abbreviations: F, fermentation; M, tea material; T, processed tea type; F&#x00a0;&#x00d7;&#x00a0;M, interaction between fermentation and tea material; F&#x00a0;&#x00d7;&#x00a0;T, interaction between fermentation and processed tea type; M&#x00a0;&#x00d7;&#x00a0;T, interaction between tea material and processed tea type; F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T, interaction among fermentation, tea material, and processed tea type. Significance levels: highly significant, p&#x00a0;&lt;&#x00a0;0.01; significant, p&#x00a0;&lt;&#x00a0;0.05; ns, not significant.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Regarding antibacterial activity, white tea showed the lowest MIC
                <sub>50</sub> values against 
                <italic toggle="yes">S. aureus</italic> and 
                <italic toggle="yes">E. coli</italic> (p&#x00a0;&lt;&#x00a0;0.01), while oolong tea showed a lower MIC
                <sub>50</sub> only against 
                <italic toggle="yes">E. coli</italic> (p&#x00a0;&lt;&#x00a0;0.01; 
                <xref ref-type="table" rid="T4">
Tables 4</xref>&#x2013;
                <xref ref-type="table" rid="T5">5</xref>). Fermentation increased the MIC
                <sub>50</sub> against 
                <italic toggle="yes">S. aureus</italic> in the leaf fraction across all tea types (p&#x00a0;&lt;&#x00a0;0.01). A similar trend was observed in the residue fraction, in which fermentation increased the MIC
                <sub>50</sub> of green tea, white tea, and oolong tea (p&#x00a0;&lt;&#x00a0;0.01). For antimicrobial activity against 
                <italic toggle="yes">E. coli</italic>, green tea and oolong tea leaves showed higher MIC
                <sub>50</sub> values after fermentation (p&#x00a0;&lt;&#x00a0;0.01). In the residue fraction, fermentation consistently increased MIC
                <sub>50</sub> values across all tea types (p&#x00a0;&lt;&#x00a0;0.01), indicating reduced antibacterial effectiveness.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Effects of fermentation, tea material, and tea types on antimicrobial activity against 
                        <italic toggle="yes">Staphylococcus aureus</italic> (MIC
                        <sub>50</sub>).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Treatment</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Tea types</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Green tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Black tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Oolong tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">White tea</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">------------------------------------ (ppm) ----------------------------</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Non-fermented
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">280.56&#x00a0;&#x00b1;&#x00a0;6.55
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">150.86&#x00a0;&#x00b1;&#x00a0;6.56
                                <sup>bc</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">57.36&#x00a0;&#x00b1;&#x00a0;1.10
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">54.12&#x00a0;&#x00b1;&#x00a0;1.58
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">288.31&#x00a0;&#x00b1;&#x00a0;3.73
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">471.25&#x00a0;&#x00b1;&#x00a0;24.46
                                <sup>bc</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80.55&#x00a0;&#x00b1;&#x00a0;8.10
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">205.82&#x00a0;&#x00b1;&#x00a0;7.41
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fermented</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">482.48&#x00a0;&#x00b1;&#x00a0;100.97
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">236.03&#x00a0;&#x00b1;&#x00a0;15.82
                                <sup>bc</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">116.26&#x00a0;&#x00b1;&#x00a0;0.94
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">143.57&#x00a0;&#x00b1;&#x00a0;3.91
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">608.31&#x00a0;&#x00b1;&#x00a0;110.42
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">264.93&#x00a0;&#x00b1;&#x00a0;13.21
                                <sup>bc</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8934.07&#x00a0;&#x00b1;&#x00a0;775.25
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">272.18&#x00a0;&#x00b1;&#x00a0;38.63
                                <sup>c</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">414.91&#x00a0;&#x00b1;&#x00a0;58.19
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">280.77&#x00a0;&#x00b1;&#x00a0;7.40
                                <sup>bc</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2297.06&#x00a0;&#x00b1;&#x00a0;385.95
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">188.53&#x00a0;&#x00b1;&#x00a0;12.34
                                <sup>c</sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Significance of treatment factors</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">M&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(
                                <italic toggle="yes">p value</italic>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>

                        <italic toggle="yes">Note</italic>: Different lowercase letters within the same column indicate significant differences (p&#x00a0;&lt;&#x00a0;0.05) based on the Least Significant Difference (LSD) test. Abbreviations: F, fermentation; M, tea material; T, processed tea type; F&#x00a0;&#x00d7;&#x00a0;M, interaction between fermentation and tea material; F&#x00a0;&#x00d7;&#x00a0;T, interaction between fermentation and processed tea type; M&#x00a0;&#x00d7;&#x00a0;T, interaction between tea material and processed tea type; F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T, interaction among fermentation, tea material, and processed tea type. Significance levels: highly significant, p&#x00a0;&lt;&#x00a0;0.01; significant, p&#x00a0;&lt;&#x00a0;0.05; ns, not significant.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T5" orientation="portrait" position="float">
                <label>
Table 5. </label>
                <caption>
                    <title>Effects of fermentation, tea material, and tea types on antimicrobial activity against 
                        <italic toggle="yes">Escherichia coli</italic> (MIC
                        <sub>50</sub>).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Treatment</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Tea types</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Green tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Black tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Oolong tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">White tea</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">------------------------------------ (ppm) ----------------------------</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Non-fermented
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">158.96&#x00a0;&#x00b1;&#x00a0;33.81
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">232.35&#x00a0;&#x00b1;&#x00a0;5.17
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">139.27&#x00a0;&#x00b1;&#x00a0;8.10
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">183.35&#x00a0;&#x00b1;&#x00a0;8.18
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">211.50&#x00a0;&#x00b1;&#x00a0;7.27
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">340.67&#x00a0;&#x00b1;&#x00a0;9.21
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">244.49&#x00a0;&#x00b1;&#x00a0;3.88
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">176.67&#x00a0;&#x00b1;&#x00a0;3.29
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fermented</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leaf</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">387.89&#x00a0;&#x00b1;&#x00a0;68.08
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">213.97&#x00a0;&#x00b1;&#x00a0;3.02
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">165.04&#x00a0;&#x00b1;&#x00a0;27.58
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">135.77&#x00a0;&#x00b1;&#x00a0;0.14
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residue</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">382.86&#x00a0;&#x00b1;&#x00a0;15.38
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">367.42&#x00a0;&#x00b1;&#x00a0;2.06
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">254.54&#x00a0;&#x00b1;&#x00a0;2.94
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">350.62&#x00a0;&#x00b1;&#x00a0;28.52
                                <sup>b</sup>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">285.30&#x00a0;&#x00b1;&#x00a0;27.02
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">288.60&#x00a0;&#x00b1;&#x00a0;3.17
                                <sup>a</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">200.83&#x00a0;&#x00b1;&#x00a0;11.52
                                <sup>b</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">211.60&#x00a0;&#x00b1;&#x00a0;12.76
                                <sup>b</sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Significance of treatment factors</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fermentation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Material</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Tea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">M&#x00a0;&#x00d7;&#x00a0;T</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(
                                <italic toggle="yes">p value</italic>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.01</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>

                        <italic toggle="yes">Note</italic>: Different lowercase letters within the same column indicate significant differences (p&#x00a0;&lt;&#x00a0;0.05) based on the Least Significant Difference (LSD) test. Abbreviations: F, fermentation; M, tea material; T, processed tea type; F&#x00a0;&#x00d7;&#x00a0;M, interaction between fermentation and tea material; F&#x00a0;&#x00d7;&#x00a0;T, interaction between fermentation and processed tea type; M&#x00a0;&#x00d7;&#x00a0;T, interaction between tea material and processed tea type; F&#x00a0;&#x00d7;&#x00a0;M&#x00a0;&#x00d7;&#x00a0;T, interaction among fermentation, tea material, and processed tea type. Significance levels: highly significant.</p>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec12" sec-type="discussion">
            <title>Discussion</title>
            <p>The higher TPC observed in oolong and white teas than in black tea may reflect differences in leaf maturity and processing intensity. In particular, the high TPC in white tea may be attributed to the use of young leaves, which are naturally rich in epigallocatechin gallate (EGCG) and epicatechin gallate (ECG) (
                <xref ref-type="bibr" rid="ref5">Esposito et al., 2023</xref>). By contrast, the substantially higher TPC in tea leaves than in spent residues is consistent with the removal of water-soluble phenolics during brewing (
                <xref ref-type="bibr" rid="ref14">Saklar et al., 2015</xref>). The slight increase in TPC after fermentation, especially in the leaf fraction, may reflect degradation of native phenolic compounds such as catechins into smaller molecules that still retain phenolic properties rather than being converted into non-phenolic acids (
                <xref ref-type="bibr" rid="ref11">Nishino et al., 2007</xref>). These breakdown products may continue to react with the Folin&#x2013;Ciocalteu reagent, thereby contributing to a slight apparent increase in measured total phenols.</p>
            <p>The stronger antioxidant activity of oolong and white teas, as indicated by lower IC
                <sub>50</sub> values, is in agreement with their higher phenolic concentrations. 
                <xref ref-type="bibr" rid="ref4">Dudonn&#x00e9; et al. (2009)</xref> reported a strong correlation between total phenolic content and radical-scavenging activity (R&#x00a0;=&#x00a0;0.939 for DPPH), and this activity is mediated through mechanisms such as hydrogen atom transfer, single-electron transfer, sequential proton loss electron transfer, and transition metal chelation (
                <xref ref-type="bibr" rid="ref17">Zeb, 2020</xref>). Although black tea contained more flavonoids than the other tea types, its antioxidant activity was weaker, as shown by its higher IC
                <sub>50</sub> values. This may be explained by the transformation of catechins into theaflavins and other polymeric compounds during full oxidation in black tea processing (
                <xref ref-type="bibr" rid="ref15">Tanaka &amp; Matsuo, 2020</xref>).</p>
            <p>The lower IC
                <sub>50</sub> values in the leaf fraction than in the residue fraction are also consistent with the substantially higher TPC and TFC of the leaves. Conversely, the higher IC
                <sub>50</sub> values in tea residues likely resulted from the brewing process, which extracted most of the water-soluble phenolic compounds (
                <xref ref-type="bibr" rid="ref14">Saklar et al., 2015</xref>). Interestingly, fermentation had contrasting effects on antioxidant capacity depending on the material fraction. In leaves, fermentation generally increased IC
                <sub>50</sub> values and thus reduced antioxidant capacity. In residues, however, fermentation consistently reduced IC
                <sub>50</sub> values across tea types, indicating improved antioxidant activity. This contrasting response may be related to the presence of bioactive compounds that remain bound to the fibrous matrix of tea residues (
                <xref ref-type="bibr" rid="ref2">&#x00c7;akmak et al., 2024</xref>). Fermentation may facilitate the release of these bound phenolics, thereby increasing the availability of antioxidant compounds in the residue fraction.</p>
            <p>With respect to antibacterial activity, the lower MIC
                <sub>50</sub> values of white tea against both 
                <italic toggle="yes">S. aureus</italic> and 
                <italic toggle="yes">E. coli</italic>, and of oolong tea against 
                <italic toggle="yes">E. coli</italic>, indicate a stronger antibacterial potential of these tea types. This finding is consistent with their higher phenolic content, as phenolic compounds can disrupt microbial cell membranes, inhibit metabolic enzymes, and interfere with biofilm formation in pathogenic bacteria such as 
                <italic toggle="yes">E. coli</italic> and 
                <italic toggle="yes">S. aureus</italic> (
                <xref ref-type="bibr" rid="ref7">Huang et al., 2022</xref>). Nevertheless, fermentation generally increased MIC
                <sub>50</sub> values in both leaf and residue fractions, indicating reduced antibacterial effectiveness after fermentation. Although TPC appeared to increase after fermentation, antimicrobial activity against both 
                <italic toggle="yes">S. aureus</italic> and 
                <italic toggle="yes">E. coli</italic> declined. This reduction may be attributed to polymerization of phenolic compounds during fermentation or to their degradation by microbial activity, producing derivatives with weaker antibacterial effects (
                <xref ref-type="bibr" rid="ref13">Romero et al., 2025</xref>).</p>
        </sec>
        <sec id="sec13">
            <title>Ethical considerations</title>
            <p>This study was conducted without utilizing any human or animal resources.</p>
        </sec>
    </body>
    <back>
        <sec id="sec16" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec17">
                <title>Underlying data</title>
                <p>Figshare: Dataset of phenolic and flavonoid contents, antioxidant capacity, and antibacterial activity in tea leaves and spent tea residues. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.32030247">https://doi.org/10.6084/m9.figshare.32030247</ext-link> [
                    <xref ref-type="bibr" rid="ref8">Jayanegara A, 2026</xref>].</p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>
Dataset of phenolic and flavonoid contents, antioxidant capacity, and antibacterial activity in tea leaves and spent tea residues. (Raw dataset supporting the results of this article, including phenolic and flavonoid contents, antioxidant capacity, and antibacterial activity in tea leaves and spent tea residues following anaerobic fermentation).</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec18">
                <title>Extended data</title>
                <p>No extended data are associated with this article.</p>
                <p>Data are available under the terms of the 
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