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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Food Sci. Technol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Food Science and Technology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Food Sci. Technol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2674-1121</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1775917</article-id>
<article-id pub-id-type="doi">10.3389/frfst.2026.1775917</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Brief Research Report</subject>
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</article-categories>
<title-group>
<article-title>Optimization of brewing technology and analysis of aroma components of black tea-coffee compound fruit wine</article-title>
<alt-title alt-title-type="left-running-head">Zhou et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/frfst.2026.1775917">10.3389/frfst.2026.1775917</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhou</surname>
<given-names>Shulai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3328389"/>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Wu</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Han</surname>
<given-names>Liyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<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-type="author">
<name>
<surname>Yu</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Xiujuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<aff id="aff1">
<label>1</label>
<institution>School of Modern Agricultural, Leshan Vocational and Technical College</institution>, <city>Leshan</city>, <state>Sichuan</state>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Leshan Food and Drug Inspection Center</institution>, <city>Leshan</city>, <state>Sichuan</state>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Greenland Municipal Investment Group Co., Ltd.</institution>, <city>Shanghai</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Li Wu, <email xlink:href="mailto:317963779@qq.com">317963779@qq.com</email>; Liyan Han, <email xlink:href="mailto:18288747282@163.com">18288747282@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>6</volume>
<elocation-id>1775917</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Zhou, Wu, Han, Yu and Tang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhou, Wu, Han, Yu and Tang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">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>In order to improve the sensory quality of black tea-coffee compound fruit wine (BTCCFW), citrus, instant coffee and instant black tea were used as the main raw materials for brewing, and the brewing process was optimized by single factor test combined with response surface methodology. The results showed that when the addition amount of instant coffee was 2.1&#x2030;, the addition amount of instant black tea was 1.6%, the initial sugar content was 23.6%, and the fermentation temperature was 24.8&#xa0;&#xb0;C, the BTCCFW was red brown and transparent, with mellow taste and harmonious and strong tea, coffee and wine aroma, and the sensory score was (95.6 &#xb1; 1.3). The results of mass spectrometry analysis showed that the content of beneficial flavor components endowed with coffee flavor, nut flavor and fruit flavor in the wine was significantly increased after the process optimization, while the proportion of bad flavor components producing spicy flavor and earthy flavor was significantly decreased. In conclusion, this study effectively improved the sensory quality of BTCCFW by optimizing the brewing process, which provided a theoretical basis for the industrial production and marketing of the wine, and had a good application prospect.</p>
</abstract>
<kwd-group>
<kwd>aroma components</kwd>
<kwd>black tea</kwd>
<kwd>brewing technology</kwd>
<kwd>coffee</kwd>
<kwd>compound fruit wine</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was financially supported by Key research projects of Leshan (No. 22SZD001).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="2"/>
<ref-count count="31"/>
<page-count count="10"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Food Biotechnology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>With the continuous upgrading of consumers&#x2019; demand for diversified, personalized and healthy drinks, compound fermented drinks with both natural flavor and functional properties have become the research and development hotspot and market growth point of the food and beverage industry (<xref ref-type="bibr" rid="B20">Mencarelli, 2025</xref>). Tea, coffee and fruit wine, as the top three drinks in global consumption, have their own unique advantages (<xref ref-type="bibr" rid="B16">Luo et al., 2024</xref>; <xref ref-type="bibr" rid="B18">McCann, 2023</xref>; <xref ref-type="bibr" rid="B22">Paz-Graniel and Salas-Salvad&#xf3;, 2023</xref>). Yet, when applied independently, they all have obvious limitations: tea has a relatively flat sensory profile with insufficient flavor layers; coffee carries a strong bitter taste that fails to appeal to all consumers; fruit wine is often characterized by single-dimensional flavor and poor storage stability. These drawbacks make it difficult for any of these single beverages to fully satisfy consumers&#x2019; comprehensive demands. Fortunately, the bioactive components of these three categories&#x2014;including tea polyphenols in tea, caffeine in coffee, and functional substances in fruit wine&#x2014;not only endow the respective products with rich nutritional value, but also lay a diversified material foundation for the development of composite fermented drinks (<xref ref-type="bibr" rid="B13">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B29">Wu et al., 2021</xref>). In recent years, the research of brewing fermented wine by combining tea, coffee and fruit has gradually risen. Through the complementary flavor of raw materials and the synergy of fermentation process, such products not only retain the natural characteristics of raw materials, but also generate new aroma and taste substances, showing broad market application potential (<xref ref-type="bibr" rid="B7">G&#xf3;mez-Plaza and Gil-Mu Oz, 2021</xref>; <xref ref-type="bibr" rid="B9">Hugenholtz, 2016</xref>).</p>
<p>BTCCFW as a new type of compound fermented wine, innovatively combines the mellow and sweet taste of black tea, the strong burnt aroma of coffee and the fresh fruit aroma of citrus, forming rich flavor characteristics after yeast fermentation. However, the optimization of its brewing process still faces many challenges. Firstly, the raw material ratio, initial sugar content, fermentation temperature and other factors have a great impact on the sensory quality and aroma components of the product, and the optimal parameters need to be determined through systematic process optimization. Secondly, the volatile aroma components produced in the fermentation process are complex and diverse, and their composition and content directly affect the flavor characteristics of the product. Therefore, it is necessary to conduct in-depth analysis of aroma components to reveal the mechanism of flavor formation.</p>
<p>Therefore, this study took BTCCFW as the research object, using single factor test combined with response surface methodology, systematically optimized the key process parameters such as raw material ratio, initial sugar content, fermentation temperature and so on. At the same time, gas chromatography-mass spectrometry (GC-MS) was used to qualitatively and quantitatively analyze the volatile aroma components of the product before and after optimization, so as to clarify the material basis of its flavor formation. The purpose of this study is to provide theoretical basis and technical support for the industrial production of BTCCFW, and provide new research ideas for the quality improvement and flavor control of multi material compound fermented wine.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Materials and reagents</title>
<p>Black tea, coffee, fresh and mature citrus, white granulated sugar: commercially available; <italic>Saccharomyces cerevisiae</italic>: Angel yeast Co., Ltd.; Pectinase (enzyme activity 10<sup>5</sup>&#xa0;U/mL): Shanghai jietu industry and Trade Co., Ltd.; Potassium metabisulfite (food grade), vitamin C (purity &#x2265; 99.0%): Guilin baozuan Food Co., Ltd.; Anhydrous ethanol (food grade): Shandong Luying Chemical Co., Ltd.; Other reagents are domestic analytical pure.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Test method</title>
<p>The black tea (coffee) was crushed after removing impurities, sieved through 40 mesh sieve, added with 15 times the weight of ethanol solution of tea (coffee) powder (volume fraction was 60%), soaked for 48&#xa0;h, filtered, the filtrate was concentrated to 1/3 of the original volume under reduced pressure, and then spray dried at 160&#xa0;&#xb0;C to obtain instant powder. Fresh and mature oranges were selected, peeled and seeded, and then crushed with the same quality of purified water. Pectinase (20&#xa0;U/g) was added to the pulp juice and treated at room temperature for 3&#xa0;h, and then filtered. According to the experimental design, the instant powder was added into the juice, and then the initial sugar content was adjusted by white granulated sugar, and then the total acid content was adjusted to 0.9% (w/w) by adding potassium metabisulfite, and 0.08% (w/w) vitamin C was added, and then pasteurized (65&#xa0;&#xb0;C, 30&#xa0;min); After cooling to room temperature, 0.05% (v/v) expanded and cultured <italic>Saccharomyces cerevisiae</italic> suspension (1.3 &#xd7; 10<sup>9</sup>&#xa0;CFU/mL) was inoculated, followed by static fermentation for 5.5&#xa0;days under the experimentally set conditions; After the completion of fermentation, the finished product is obtained after four layers of gauze filtration and pasteurization (65&#xa0;&#xb0;C, 30&#xa0;min).</p>
<p>The previous study found that when the addition amount of instant coffee, instant black tea, initial sugar content and fermentation temperature were 1.5&#x2030; (w/w), 1.5% (w/w), 22% (w/w) and 24&#xa0;&#xb0;C respectively, the fermented tea wine with excellent sensory quality could be prepared. Therefore, the effects of the amount of instant coffee (0.5&#x2030;, 1.0&#x2030;, 1.5&#x2030;, 2.0&#x2030;, 2.5&#x2030;), the amount of instant black tea (0.5%, 1.0%, 1.5%, 2.0%, 2.5%), the initial sugar content (18%, 20%, 22%, 24%, 26%) and fermentation temperature (20&#xa0;&#xb0;C, 22&#xa0;&#xb0;C, 24&#xa0;&#xb0;C, 26&#xa0;&#xb0;C, 28&#xa0;&#xb0;C) on the sensory quality of BTCCFW were investigated, and each experiment was repeated three times.</p>
<p>On the basis of single factor experiment, the sensory score (<italic>Y</italic>) of BTCCFW was taken as the index, and the addition amount of instant coffee (<italic>A</italic>), instant black tea (<italic>B</italic>), initial sugar content (<italic>C</italic>) and fermentation temperature (<italic>D</italic>) were taken as the experimental factors to design a 4-factor 3-level response surface test to optimize the brewing process of BTCCFW (<xref ref-type="bibr" rid="B8">Grygorcewicz et al., 2023</xref>; <xref ref-type="bibr" rid="B10">Humberg and Grund, 2022</xref>). See <xref ref-type="table" rid="T1">Table 1</xref> for response surface test factors and levels.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Experimental results of response surface analysis for optimization of brewing process of BTCCFW.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">No.</th>
<th align="center">
<italic>A</italic>: addition amount of instant coffee/&#x2030;</th>
<th align="center">
<italic>B</italic>: addition amount of instant black tea/%</th>
<th align="center">
<italic>C</italic>: initial sugar content/%</th>
<th align="center">
<italic>D</italic>: fermentation temperature/&#xb0;C</th>
<th align="center">
<italic>Y</italic>: sensory evaluation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">94.6</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">26</td>
<td align="center">26</td>
<td align="center">87.8</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">22</td>
<td align="center">86.8</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">1.5</td>
<td align="center">1.0</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">86.9</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">2.5</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">26</td>
<td align="center">91.5</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">94.7</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">2.0</td>
<td align="center">2.0</td>
<td align="center">24</td>
<td align="center">22</td>
<td align="center">88.6</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">26</td>
<td align="center">22</td>
<td align="center">87.4</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">22</td>
<td align="center">22</td>
<td align="center">84.0</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">2.5</td>
<td align="center">1.5</td>
<td align="center">22</td>
<td align="center">24</td>
<td align="center">87.4</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">2.0</td>
<td align="center">2.0</td>
<td align="center">24</td>
<td align="center">26</td>
<td align="center">91.2</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">92.7</td>
</tr>
<tr>
<td align="center">13</td>
<td align="center">1.5</td>
<td align="center">2.0</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">86.5</td>
</tr>
<tr>
<td align="center">14</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">26</td>
<td align="center">24</td>
<td align="center">87.1</td>
</tr>
<tr>
<td align="center">15</td>
<td align="center">2.0</td>
<td align="center">2.0</td>
<td align="center">22</td>
<td align="center">24</td>
<td align="center">85.6</td>
</tr>
<tr>
<td align="center">16</td>
<td align="center">2.5</td>
<td align="center">1.5</td>
<td align="center">26</td>
<td align="center">24</td>
<td align="center">85.9</td>
</tr>
<tr>
<td align="center">17</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">26</td>
<td align="center">85.8</td>
</tr>
<tr>
<td align="center">18</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">22</td>
<td align="center">26</td>
<td align="center">93.7</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">2.5</td>
<td align="center">2.0</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">91.5</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">2.0</td>
<td align="center">1.0</td>
<td align="center">24</td>
<td align="center">22</td>
<td align="center">87.0</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">2.0</td>
<td align="center">1.0</td>
<td align="center">22</td>
<td align="center">24</td>
<td align="center">88.5</td>
</tr>
<tr>
<td align="center">22</td>
<td align="center">2.0</td>
<td align="center">1.0</td>
<td align="center">26</td>
<td align="center">24</td>
<td align="center">90.2</td>
</tr>
<tr>
<td align="center">23</td>
<td align="center">2.0</td>
<td align="center">2.0</td>
<td align="center">26</td>
<td align="center">24</td>
<td align="center">85.8</td>
</tr>
<tr>
<td align="center">24</td>
<td align="center">2.0</td>
<td align="center">1.0</td>
<td align="center">24</td>
<td align="center">26</td>
<td align="center">86.9</td>
</tr>
<tr>
<td align="center">25</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">22</td>
<td align="center">24</td>
<td align="center">89.0</td>
</tr>
<tr>
<td align="center">26</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">95.0</td>
</tr>
<tr>
<td align="center">27</td>
<td align="center">2.5</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">22</td>
<td align="center">82.8</td>
</tr>
<tr>
<td align="center">28</td>
<td align="center">2.5</td>
<td align="center">1.0</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">87.8</td>
</tr>
<tr>
<td align="center">29</td>
<td align="center">2.0</td>
<td align="center">1.5</td>
<td align="center">24</td>
<td align="center">24</td>
<td align="center">95.5</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Referring to the sensory evaluation method of gb/t 15038&#x2013;2006 &#x201c;general methods for analysis of wine and fruit wine&#x201d;, 11 professionals (6 males and 5 females) aged between 28 and 38 with professional qualification certificate of senior wine taster were invited to form an evaluation team to evaluate the sensory quality of BTCCFW from four aspects: appearance and color, aroma, taste and typicality. Take the average score of 11 people, the full score is 100 points (<xref ref-type="bibr" rid="B6">de Santis, 2024</xref>). See <xref ref-type="sec" rid="s11">Supplementary Table S2</xref> for sensory scoring criteria of BTCCFW.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Determination of volatile aroma compounds (VFCs) in BTCCFW</title>
<p>A 5.0&#xa0;mL aliquot of BTCCFW sample was mixed with 10&#xa0;&#x3bc;L of internal standard (100&#xa0;&#x3bc;g/g 2-octanol) in a headspace vial and equilibrated at 60&#xa0;&#xb0;C with 250&#xa0;rpm agitation for 15&#xa0;min. Then, 0.5&#xa0;mL of headspace gas was sampled using a preheated (80&#xa0;&#xb0;C) 2.5&#xa0;mL airtight syringe. VFCs were extracted with a DVB/CAR/PDMS (Divinylbenzene/Carboxen&#x2122;/Polydimethylsiloxane) fiber for 45&#xa0;min at 60&#xa0;&#xb0;C, then desorbed in the GC-MS injection port at 250&#xa0;&#xb0;C for 3&#xa0;min (<xref ref-type="bibr" rid="B31">Yang et al., 2022</xref>). Each sample was analyzed in triplicate. VFCs were identified by comparing mass spectra with NIST 1.6 and Wiley 6.0 databases, and relative concentrations were calculated using the internal standard method (<xref ref-type="bibr" rid="B23">Rahayu et al., 2017</xref>). Additionally, the <xref ref-type="disp-formula" rid="e1">Equation 1</xref> was used to calculate the odor activity values (OAV) of the VFCs (<xref ref-type="bibr" rid="B4">Bragagnolo et al., 2018</xref>).<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>O</mml:mi>
<mml:mi>A</mml:mi>
<mml:mi>V</mml:mi>
</mml:mrow>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where <italic>c</italic>
<sub>
<italic>i</italic>
</sub> represents the relative VFCs concentration and <italic>T</italic>
<sub>
<italic>i</italic>
</sub> denotes the VFCs odor threshold in water.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>SPSS statistics 20.0 was used for data statistical analysis, originpro 12.1 was used to draw the single factor test result chart, and design expert 12.0 was used to analyze the response surface test design results.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Results and analysis</title>
<sec id="s3-1">
<label>3.1</label>
<title>Single factor experiment on brewing process optimization of BTCCFW</title>
<p>It can be seen from <xref ref-type="fig" rid="F1">Figure 1A</xref> that when the amount of instant coffee is between 0.5&#x2030; and 2.5&#x2030;, the sensory score of BTCCFW increases first and then decreases with the increase of the amount of instant coffee. When the amount of instant coffee is 2.0&#x2030;, the sensory score reaches the highest. When the addition amount of instant coffee is 0.5&#x2030;&#x2013;2.0&#x2030;, the scorched aroma substances in instant coffee and tea polyphenols form a composite aroma, which enhances the layering of the wine. Coffee polysaccharides and wine esters form a stable colloidal structure, which improves the smoothness of the taste (<xref ref-type="bibr" rid="B2">Ballesteros et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Ballesteros et al., 2017</xref>). When the addition amount of instant coffee is greater than 2.0&#x2030;, excessive instant coffee will cause &#x201c;burnt bitterness&#x201d; and sour feeling. Polyphenols in coffee and proteins in compound fruit wine are easy to form insoluble complexes, resulting in wine turbidity. The diffusion of aroma substances can also be inhibited by excessive coffee polysaccharides (<xref ref-type="bibr" rid="B24">Reichembach et al., 2024</xref>). Therefore, the addition amount of instant coffee was selected as 1.5&#x2030;&#x223c;2.5&#x2030; for subsequent response surface test.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Effect of the addition amount of instant coffee on the sensory evaluation of BTCCFW <bold>(A)</bold>, effect of the addition amount of instant black tea on the sensory evaluation of BTCCFW <bold>(B)</bold>, effect of the initial sugar content on the sensory evaluation of BTCCFW <bold>(C)</bold>, effect of the fermentation temperature on the sensory evaluation of BTCCFW <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="frfst-06-1775917-g001.tif">
<alt-text content-type="machine-generated">Four grouped bar graphs labeled A, B, C, and D display the effects of various factors on sensory evaluation scores. Graph A compares different addition amounts of instant coffee, peaking at 2.0&#x2030;. Graph B illustrates varying addition amounts of instant black tea, highest at 1.5%. Graph C shows initial sugar content, with 24% yielding the top sensory evaluation. Graph D depicts fermentation temperatures, with 24&#xB0;C achieving the highest evaluation. Error bars and statistical group letters indicate differences between means.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F1">Figure 1B</xref>, the sensory score of BTCCFW increased first and then decreased with the increase of the amount of instant black tea. The tannin provided by an appropriate amount of instant black tea can support the metabolic activity of yeast. At the same time, the concentration of tea polyphenols within this range can not only inhibit the growth of miscellaneous bacteria, but also will not interfere with the sugar metabolism of <italic>S. cerevisiae</italic>, which optimizes the adaptability of fermentation to a certain extent. Tea polyphenols can also neutralize the bitter taste of coffee, and improve the freshness of the wine through convergence. Theaflavins form a compound aroma with the burnt aroma of coffee and the esters of the wine, enhancing the flavor level (<xref ref-type="bibr" rid="B19">Meilhoc and Teissie, 2020</xref>; <xref ref-type="bibr" rid="B21">Parapouli et al., 2020</xref>). When the addition amount of instant black tea was 1.5%, the characteristic aroma of black tea, coffee aroma and wine aroma reached the best ratio. When the addition amount of instant black tea exceeds 2.0%, the activity of <italic>S. cerevisiae</italic> is inhibited, the proportion of fermentation products is unbalanced, and pungent odor is generated. At the same time, excessive tea polyphenols will form insoluble complex with caffeine, resulting in wine turbidity and affecting sensory score (<xref ref-type="bibr" rid="B11">Kim et al., 2021</xref>). Therefore, the addition amount of instant black tea was selected as 1.0%&#x223c;2.0% for the follow-up response surface test.</p>
<p>It can be seen from <xref ref-type="fig" rid="F1">Figure 1C</xref> that the sensory score of BTCCFW increased first and then decreased with the increase of initial sugar content. When the initial sugar content increased from 18% to 24%, the sensory score increased significantly; When the initial sugar content exceeded 24%, the score gradually decreased. From the perspective of fermentation mechanism, sugar is the main carbon source and energy source for the growth and metabolism of <italic>S. cerevisiae</italic>. If the sugar content is insufficient, it will limit the proliferation and metabolic activity of <italic>S. cerevisiae</italic>, resulting in incomplete fermentation, which will affect the flavor and taste of the wine; However, under the condition of sufficient sugar, yeast will rapidly proliferate and accelerate the consumption of nutrients in the fermentation system, causing metabolic imbalance (<xref ref-type="bibr" rid="B12">Korovesi et al., 2022</xref>; <xref ref-type="bibr" rid="B26">Schulze et al., 2024</xref>). The experimental data showed that when the initial sugar content increased from 18% to 24%, the sensory score of BTCCFW increased by 19.2% compared with the initial value; When the initial sugar content increased to 26%, the high osmotic pressure produced by high sugar environment would inhibit the activity of yeast, reduce the fermentation rate, and promote the metabolism of yeast to produce some bad flavor substances; In addition, high sugar concentration will cover up the diversified flavor characteristics of black tea and coffee to a certain extent, resulting in the simplification of liquor flavor, which is easy to cause taste fatigue and discomfort in sensory evaluation, and ultimately lead to a decline in score (<xref ref-type="bibr" rid="B1">Amberg and Burke, 2016</xref>; <xref ref-type="bibr" rid="B25">Schmidt et al., 2024</xref>). Therefore, the initial sugar content of 22%&#x223c;26% was selected for the subsequent response surface test.</p>
<p>As shown in <xref ref-type="fig" rid="F1">Figure 1D</xref>, when the fermentation temperature changes between 20&#xa0;&#xb0;C and 28&#xa0;&#xb0;C, the sensory score of BTCCFW shows a trend of first increasing and then decreasing with the increase of fermentation temperature. When the fermentation temperature is 24&#xa0;&#xb0;C, the sensory score reaches the highest. When the fermentation temperature was lower than 24&#xa0;&#xb0;C, the metabolic activity of <italic>S. cerevisiae</italic> was limited, the synthesis of esters, higher alcohols and other flavor substances decreased, the fruit aroma characteristics of the wine were not prominent, and the overall taste was not full; In particular, when the temperature is as low as 20&#xa0;&#xb0;C, the yeast proliferation rate decreases significantly, which not only prolongs the fermentation cycle, but also makes the wine less flavored and thin due to the lack of metabolites (<xref ref-type="bibr" rid="B27">Tous Mohedano et al., 2023</xref>; <xref ref-type="bibr" rid="B30">Wu et al., 2023</xref>). When the fermentation temperature was 24&#xa0;&#xb0;C, the inhibitory effect of tea polyphenols and caffeine on yeast activity was the least, the utilization rate of sugar was high, the fermentation was stable, the residual sugar was low, the accumulation of aroma substances was sufficient and the persistence was significantly enhanced. When the fermentation temperature is higher than 24&#xa0;&#xb0;C, the metabolic rate of <italic>S. cerevisiae</italic> is accelerated, and the BTCCFW begins to have a bitter taste. At the same time, the high temperature accelerates the escape of volatile aroma substances, which gradually reduces its sensory score (<xref ref-type="bibr" rid="B17">Maneira et al., 2025</xref>). Therefore, the fermentation temperature of 22&#x223c;26&#xa0;&#xb0;C was selected for the follow-up response surface test.</p>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Response surface methodology-based optimization of brewing technology for BTCCFW</title>
<p>According to the single factor test results and product characteristics, the box Behnken central composite design was used to carry out the response surface optimization test. The results are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Taking sensory score (<italic>Y</italic>) as the response value, after regression fitting, the corresponding regression equation is obtained as follows.<disp-formula id="equ1">
<mml:math id="m2">
<mml:mrow>
<mml:mi>Y</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>94.5</mml:mn>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>0.4</mml:mn>
<mml:mi>A</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>0.16</mml:mn>
<mml:mi>B</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.33</mml:mn>
<mml:mi>C</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1.69</mml:mn>
<mml:mi>D</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1.03</mml:mn>
<mml:mi>A</mml:mi>
<mml:mi>B</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>0.1</mml:mn>
<mml:mi>A</mml:mi>
<mml:mi>C</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>2.43</mml:mn>
<mml:mi>A</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.37</mml:mn>
<mml:mi>B</mml:mi>
<mml:mi>C</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>0.68</mml:mn>
<mml:mi>B</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2.33</mml:mn>
<mml:mi>C</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3.86</mml:mn>
<mml:msup>
<mml:mi>A</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2.93</mml:mn>
<mml:msup>
<mml:mi>B</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3.44</mml:mn>
<mml:msup>
<mml:mi>C</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3.3</mml:mn>
<mml:msup>
<mml:mi>D</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>The results of variance analysis of the test data are shown in <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>. According to the analysis of variance, the influence order of the four factors on the sensory score of BTCCFW was <italic>D</italic> &#x3e; <italic>A</italic> &#x3e; <italic>C</italic> &#x3e; <italic>B</italic>, that is, the fermentation temperature had the most significant effect on the sensory score of BTCCFW, followed by the amount of instant coffee, and then the initial sugar content. As the core factor regulating yeast metabolic activity, fermentation temperature directly affects the growth, reproduction and enzyme synthesis of <italic>S. cerevisiae</italic>, appropriate temperature promotes yeast to efficiently decompose sugars into ethanol and intermediate metabolites (e.g., esters, aldehydes), while extreme temperatures inhibit metabolic balance, leading to insufficient flavor substance generation or accumulation of off-flavors. Moreover, temperature significantly influences the volatility of aroma components (e.g., terpenoids, phenols), determining the intensity and coordination of tea, coffee and fruit aromas in the final product, thus becoming the most critical factor affecting sensory quality. The quadratic terms <italic>A</italic>
<sup>
<italic>2</italic>
</sup>, <italic>B</italic>
<sup>
<italic>2</italic>
</sup>, <italic>C</italic>
<sup>
<italic>2</italic>
</sup> and <italic>D</italic>
<sup>
<italic>2</italic>
</sup> had significant effects on the sensory score of BTCCFW (<italic>P</italic> &#x3c; 0.01); One time item <italic>D</italic>, interactive items <italic>AD</italic> and <italic>CD</italic> had significant effects on the sensory score of BTCCFW (<italic>P</italic> &#x3c; 0.05). It can be seen from <xref ref-type="fig" rid="F2">Figure 2</xref> that the slope of the response surface formed by factor <italic>A</italic> and factor <italic>D</italic> is the steepest, which verifies that the interactive term ad has a significant effect on the sensory score of BTCCFW (<italic>P</italic> &#x3c; 0.05).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Response surface graph depicting the interaction of addition amount of instant coffee and addition amount of instant black tea <bold>(A)</bold>, addition amount of instant coffee and initial sugar content <bold>(B)</bold>, addition amount of instant coffee and fermentation temperature <bold>(C)</bold>, addition amount of instant black tea and initial sugar content <bold>(D)</bold>, addition amount of instant black tea and fermentation temperature <bold>(E)</bold>, initial sugar content and fermentation temperature <bold>(F)</bold> on the sensory evaluation of BTCCFW.</p>
</caption>
<graphic xlink:href="frfst-06-1775917-g002.tif">
<alt-text content-type="machine-generated">Six three-dimensional surface plots comparing the influence of ingredient amounts and fermentation temperature on sensory evaluation scores, each plot visualizing different variable interactions with yellow contour maps beneath the surface curves, labeled panels A through F.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Validation test on optimization of brewing process of BTCCFW</title>
<p>According to the regression equation of sensory score of BTCCFW, the highest sensory score of BTCCFW can be obtained under the addition amount of 2.1&#x2030; of instant coffee, 1.6% of instant black tea, 23.6% of initial sugar content and 24.8&#xa0;&#xb0;C of fermentation temperature (test 30). Compared with traditional fruit wines (typically fermented at 18&#xa0;&#xb0;C&#x2013;22&#xa0;&#xb0;C) and tea wines (usually with 10%&#x2013;15% initial sugar content), the optimal fermentation temperature of 24.8&#xa0;&#xb0;C in this study is moderately higher, which facilitates the coordinated release of tea polyphenols and coffee volatile compounds while maintaining yeast activity; the 23.6% initial sugar content balances alcohol production and flavor formation, avoiding excessive sweetness or bitterness. Moreover, the combined addition of instant coffee and black tea is rarely reported in similar compound fermented wines, highlighting the novelty of this brewing process. Therefore, three groups of validation tests were carried out on the above conditions, and the sensory score of BTCCFW in test group 30 was (95.6 &#xb1; 1.3). Therefore, the optimal brewing conditions of BTCCFW were determined as follows: the addition amount of instant coffee was 2.1&#x2030;, the addition amount of instant black tea was 1.6%, the initial sugar content was 23.6% and the fermentation temperature was 24.8&#xa0;&#xb0;C.</p>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Analysis of VFCs in BTCCFW</title>
<p>Through mass spectrometry analysis, a total of 454 aroma compounds (7 more than those identified before the process optimization) were detected in the BTCCFW after process optimization, which were classified into 13 categories, namely esters (106 aroma compounds), terpenoids (84 aroma compounds), heterocyclic compounds (64 aroma compounds), aldehydes (43 aroma compounds), ketones (41 aroma compounds), alcohols (37 aroma compounds), aromatics (21 aroma compounds), acids (16 aroma compounds), phenols (14 aroma compounds), hydrocarbons (11 aroma compounds), ethers (8 aroma compounds), sulfur compounds (6 aroma compounds) and nitrogen compounds (3 aroma compounds), with the specific results shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The classification of identified volatile flavor compounds (VFCs) in BTCCFW after fermentation process optimization <bold>(A)</bold>, before fermentation process optimization <bold>(B)</bold>, respectively, and the differentially changed VFCs in AO and BO <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="frfst-06-1775917-g003.tif">
<alt-text content-type="machine-generated">Two colorful doughnut charts labeled A and B display the distribution of chemical compound classes, each with segments for esters, heterocyclic compounds, aldehydes, alcohols, terpenoids, and other groups. A scatter plot labeled C shows color-coded points representing compound classes against axes labeled LogFC(FAO vs BO) and -logP, with a legend identifying colors for sulfur compounds, heterocyclic compounds, hydrocarbons, aromatics, terpenoids, phenols, ketones, esters, acids, alcohols, ethers, and aldehydes.</alt-text>
</graphic>
</fig>
<p>After the process optimization, there were 63 aroma compounds with significantly increased relative contents compared with those before optimization, including 16 terpenoids (e.g., Linalool, Cyclohexene, 1-methyl-4-(1-methylethylidene)-), 11 heterocyclic compounds (e.g., Pyrazine, 2-methoxy-3-(1-methylethyl)-, 2-Thiophenemethanethiol, Ethanone, 1-(2-thienyl)-), 8 esters (e.g., Benzoic acid, methyl ester, Methyl salicylate), 7 aldehydes (e.g., Nonanal, 2-Hexenal), 4 alcohols (e.g., 1-Octen-3-ol, 1-Butanol, 3-methyl-), 4 ketones (e.g., 3,5-Octadien-2-one, (E,E)-), 4 sulfur compounds (e.g., Benzenemethanethiol, Methyl ethyl disulfide), 3 phenols (e.g., 2-methoxy-Phenol, Phenol, 2-methyl-, Ethyl maltol), 3 acids, 2 aromatics, and 1 hydrocarbon. In contrast, 37 aroma compounds showed significantly decreased relative contents, which were composed of 12 heterocyclic compounds (e.g., 2-Ethoxy-3-methylpyrazine, 2-Methyl-1,3-dithiacyclopentane), 10 esters (e.g., Benzene, (2-isothiocyanatoethyl)-), 5 aromatics (e.g., Benzene, 1,2,4,5-tetramethyl-, Benzene, 1,3-dimethyl-), 3 aldehydes (e.g., Undecanal), 2 ketones (e.g., Ethanone, 1-(4-methylphenyl)-), 2 phenols (e.g., 2,4-Di-tert-butylphenol, Phenol, 3,5-dimethyl-), 1 alcohol (Benzyl alcohol), 1 ether (1,3-Benzodioxole, 4-methoxy-6-(2-propenyl)-) and 1 hydrocarbon (Dodecane).</p>
<p>Volatile aroma compounds with significantly altered odor activity values (OAV) &#x3e; 1 in BTCCFW before and after technological optimization are presented in <xref ref-type="table" rid="T2">Table 2</xref>. Beneficial aroma compounds with coffee (<xref ref-type="bibr" rid="B5">Cai et al., 2022</xref>) (Benzenemethanethiol, 2-Thiophenemethanethiol), nutty (<xref ref-type="bibr" rid="B28">Whetstine et al., 2006</xref>) (Ethanone, 1-(2-thienyl)-, Pyrazine, 2-methoxy-3-(1-methylethyl)-, 2-methoxy-Phenol), and fruity (<xref ref-type="bibr" rid="B14">Lu D. et al., 2022</xref>) (2-Hexenal, 1-Octen-3-ol, 3,5-Octadien-2-one, (E,E)-) were significantly increased, with the increase rates of these 8 beneficial aroma compounds being 1888.4%, 238.3%, 7121.6%, 371.0%, 133.2%, 775.0%, 647.4% and 240.3%, respectively. In contrast, the harmful aroma compound with horseradish (<xref ref-type="bibr" rid="B15">Lu T.et al., 2022</xref>) (Benzene, (2-isothiocyanatoethyl)-) was significantly decreased by 47.9%.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Odour activity values (&#x3e;1) of volatile aroma compounds with significantly changed in BTCCFW after optimization (AO) and before optimization (BO).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Compounds</th>
<th align="center">Class</th>
<th align="center">Odor</th>
<th align="center">AO</th>
<th align="center">BO</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Methyl ethyl diSulfur compounds</td>
<td align="center">Sulfur compounds</td>
<td align="center">Truffle</td>
<td align="center">94.52 &#xb1; 11.31</td>
<td align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td align="center">1-Butanol, 3-methyl-</td>
<td align="center">Alcohols</td>
<td align="center">Malty, burnt</td>
<td align="center">1.07 &#xb1; 0.30</td>
<td align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td align="center">trans-Linalool oxide (furanoid)</td>
<td align="center">Heterocyclic compounds</td>
<td align="center">Floral</td>
<td align="center">2.48 &#xb1; 0.69</td>
<td align="center">0.03 &#xb1; 0.00</td>
</tr>
<tr>
<td align="center">Phenol, 2-methyl-</td>
<td align="center">Phenols</td>
<td align="center">Phenol</td>
<td align="center">14.03 &#xb1; 1.27</td>
<td align="center">0.18 &#xb1; 0.03</td>
</tr>
<tr>
<td align="center">Ethanone, 1-(2-thienyl)-</td>
<td align="center">Heterocyclic compounds</td>
<td align="center">Nutty</td>
<td align="center">207.26 &#xb1; 40.02</td>
<td align="center">2.87 &#xb1; 0.54</td>
</tr>
<tr>
<td align="center">Methyl salicylate</td>
<td align="center">Esters</td>
<td align="center">Caramel</td>
<td align="center">18.75 &#xb1; 1.35</td>
<td align="center">0.28 &#xb1; 0.05</td>
</tr>
<tr>
<td align="center">Cyclohexene, 1-methyl-4-(1-methylethylidene)-</td>
<td align="center">Terpenoids</td>
<td align="center">Citrus</td>
<td align="center">1.05 &#xb1; 0.20</td>
<td align="center">0.02 &#xb1; 0.01</td>
</tr>
<tr>
<td align="center">Benzoic acid, methyl ester</td>
<td align="center">Esters</td>
<td align="center">Floral</td>
<td align="center">62.83 &#xb1; 8.89</td>
<td align="center">2.41 &#xb1; 0.60</td>
</tr>
<tr>
<td align="center">Benzenemethanethiol</td>
<td align="center">Sulfur compounds</td>
<td align="center">Coffee</td>
<td align="center">1113.51 &#xb1; 63.01</td>
<td align="center">56.00 &#xb1; 6.69</td>
</tr>
<tr>
<td align="center">Linalool</td>
<td align="center">Terpenoids</td>
<td align="center">Floral</td>
<td align="center">72.72 &#xb1; 10.50</td>
<td align="center">5.11 &#xb1; 1.60</td>
</tr>
<tr>
<td align="center">2-Hexenal</td>
<td align="center">Aldehydes</td>
<td align="center">Sweet, fruity</td>
<td align="center">1.05 &#xb1; 0.20</td>
<td align="center">0.12 &#xb1; 0.02</td>
</tr>
<tr>
<td align="center">1-Octen-3-ol</td>
<td align="center">Alcohols</td>
<td align="center">Fruity, sweet</td>
<td align="center">5.83 &#xb1; 0.32</td>
<td align="center">0.78 &#xb1; 0.15</td>
</tr>
<tr>
<td align="center">Indole, 3-methyl-</td>
<td align="center">Heterocyclic compounds</td>
<td align="center">Indole, civet</td>
<td align="center">10.27 &#xb1; 1.40</td>
<td align="center">2.08 &#xb1; 0.38</td>
</tr>
<tr>
<td align="center">Ethyl maltol</td>
<td align="center">Phenols</td>
<td align="center">Sweet, caramel</td>
<td align="center">1.97 &#xb1; 0.14</td>
<td align="center">0.41 &#xb1; 0.05</td>
</tr>
<tr>
<td align="center">Cyclohexanone, 2,2,6-trimethyl-</td>
<td align="center">Ketones</td>
<td align="center">Honey, cistus</td>
<td align="center">75.86 &#xb1; 4.70</td>
<td align="center">15.91 &#xb1; 5.14</td>
</tr>
<tr>
<td align="center">Pyrazine, 2-methoxy-3-(1-methylethyl)-</td>
<td align="center">Heterocyclic compounds</td>
<td align="center">Chocolate, nutty</td>
<td align="center">2695.22 &#xb1; 310.18</td>
<td align="center">572.23 &#xb1; 65.85</td>
</tr>
<tr>
<td align="center">Dimethyl triSulfur compounds</td>
<td align="center">Sulfur compounds</td>
<td align="center">Meaty</td>
<td align="center">660.51 &#xb1; 40.08</td>
<td align="center">146.00 &#xb1; 25.69</td>
</tr>
<tr>
<td align="center">4-Heptenal, (Z)-</td>
<td align="center">Aldehydes</td>
<td align="center">Milky, creamy</td>
<td align="center">98.64 &#xb1; 20.60</td>
<td align="center">23.65 &#xb1; 3.52</td>
</tr>
<tr>
<td align="center">1-Nonanol</td>
<td align="center">Alcohols</td>
<td align="center">Floral</td>
<td align="center">1.82 &#xb1; 0.16</td>
<td align="center">0.46 &#xb1; 0.05</td>
</tr>
<tr>
<td align="center">Nonanal</td>
<td align="center">Aldehydes</td>
<td align="center">Citrus</td>
<td align="center">21.88 &#xb1; 1.99</td>
<td align="center">5.93 &#xb1; 0.92</td>
</tr>
<tr>
<td align="center">3,5-Octadien-2-one, (E,E)-</td>
<td align="center">Ketones</td>
<td align="center">Fruity</td>
<td align="center">44.03 &#xb1; 5.43</td>
<td align="center">12.94 &#xb1; 2.97</td>
</tr>
<tr>
<td align="center">2-Thiophenemethanethiol</td>
<td align="center">Heterocyclic compounds</td>
<td align="center">Roasted, coffee</td>
<td align="center">521.58 &#xb1; 117.94</td>
<td align="center">154.19 &#xb1; 20.36</td>
</tr>
<tr>
<td align="center">2-Methoxy-phenol</td>
<td align="center">Phenols</td>
<td align="center">Nutty</td>
<td align="center">40.43 &#xb1; 8.27</td>
<td align="center">17.34 &#xb1; 0.93</td>
</tr>
<tr>
<td align="center">Benzene, (2-isothiocyanatoethyl)-</td>
<td align="center">Esters</td>
<td align="center">Green, horseradish, gooseberry</td>
<td align="center">0.85 &#xb1; 0.17</td>
<td align="center">1.63 &#xb1; 0.27</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<label>4</label>
<title>Conclusion</title>
<p>When the addition amount of instant coffee was 2.1&#x2030;, the addition amount of instant black tea was 1.6%, the initial sugar content was 23.6%, and the fermentation temperature was 24.8&#xa0;&#xb0;C, the BTCCFW was red brown and transparent, with mellow taste and coordinated rich tea, coffee and wine aroma, and the sensory score was (95.6 &#xb1; 1.3). After the optimization of the process, the content of beneficial flavor components in the wine that give the product coffee flavor, nut flavor and fruit flavor is significantly increased, while the proportion of bad flavor components that produce spicy flavor and earthy flavor is significantly decreased.</p>
<p>This study improved BTCCFW&#x2019;s sensory quality via brewing parameter optimization, laying a theoretical foundation for its industrialization and marketing with broad prospects. Compared with traditional single-flavor or simple mixed fruit wines, BTCCFW has unique advantages: innovative tea-coffee-citrus combination enriches flavor layers and meets young consumers&#x2019; demand for personalized beverages; the optimized process enhances beneficial aroma stability and solves flavor incoordination in compound wines; instant raw materials simplify processing, shorten cycles and cut costs.</p>
<p>However, large-scale production faces limitations: raw material quality (origin, processing, storage) affects flavor consistency, requiring standardized screening and pretreatment; large fermenters may have uneven temperature and poor mass transfer, necessitating intelligent control and real-time parameter monitoring; high-purity raw materials increase investment, which can be mitigated by optimizing ratios and recycling by-products.</p>
<p>BTCCFW outperforms reported compound fruit wines in flavor innovation and sensory acceptability. Future research should focus on immobilized yeast for fermentation efficiency, preservation technologies for shelf-life stability, and product line expansion via raw material ratio adjustment. This optimized process provides practical industrial guidance, boosting the compound fruit wine industry&#x2019;s diversified, high-quality development.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>SZ: Conceptualization, Writing &#x2013; original draft, Methodology. LW: Visualization, Writing &#x2013; original draft, Investigation. LH: Methodology, Investigation, Writing &#x2013; original draft, Visualization. JY: Conceptualization, Writing &#x2013; original draft, Methodology. XT: Writing &#x2013; original draft, Conceptualization, Methodology.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>Author LH was employed by Greenland Municipal Investment Group Co., Ltd.</p>
<p>The remaining 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="s9">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</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="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/frfst.2026.1775917/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/frfst.2026.1775917/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2881524/overview">Zelin Li</ext-link>, Yunnan Academy of Agricultural Sciences, China</p>
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