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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1129953</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Simultaneous determination of nine phenolic compounds in imitation wild <italic>Dendrobium officinale</italic> samples using ultrahigh-performance liquid chromatography&#x2013;tandem mass spectrometry</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Mu</surname> <given-names>Yingsu</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Cheng</surname> <given-names>Li</given-names></name><xref rid="aff3" ref-type="aff"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Gong</surname> <given-names>Xiaojian</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname> <given-names>Jiangxiong</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname> <given-names>Shiyu</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Mu</surname> <given-names>Yinghua</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Liang</surname> <given-names>Kang</given-names></name><xref rid="aff5" ref-type="aff"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhou</surname> <given-names>Xin</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1459756/overview"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhao</surname> <given-names>Chao</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1816024/overview"/></contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University</institution>, <addr-line>Guiyang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Guizhou Engineering Laboratory for Quality Control and Evaluation Technology of Medicine, Guizhou Normal University</institution>, <addr-line>Guiyang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Guizhou University of Traditional Chinese Medicine</institution>, <addr-line>Guiyang</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Food and Pharmaceutical Sciences, Ningbo University</institution>, <addr-line>Ningbo</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Guizhou Forestry Scientific Research Institute</institution>, <addr-line>Guiyang</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Haining Zhuang, Shanghai Urban Construction Vocational College, China</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Shuzhen Mu, Key Laboratory of Chemistry for Natural Products of Guizhou Province (CAS), China; Zhang Qianjun, Guizhou University, China; Yang Zhao, United States Food and Drug Administration, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Chao Zhao, <email>chaozhao@126.com</email></corresp>
<corresp id="c002">Xin Zhou, <email>alice9800@sina.com</email></corresp>
<fn id="fn0003" fn-type="other">
<p>This article was submitted to Food Chemistry, a section of the journal Frontiers in Nutrition</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1129953</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Mu, Cheng, Gong, Ma, Zhang, Mu, Liang, Zhou and Zhao.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Mu, Cheng, Gong, Ma, Zhang, Mu, Liang, Zhou and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p><italic>Dendrobium officinale</italic> Kimura et Migo (<italic>D. officinale</italic>), one of the nine everlasting types of grass, has gained increasing attention owing to its important roles in alternative medicines and drug discovery. Due to its natural resources being in danger of being extinct, imitation wild planting is becoming increasingly common. To assess the product&#x2019;s quality completely, an efficient ultrahigh performance liquid chromatography-triple quadrupole tandem mass spectrometry (UHPLC-QQQ-MS/MS) method was established to simultaneously quantify nine phenolic compounds in <italic>D. officinale</italic> samples. The extraction parameters, including solvent, solvent concentration, solid&#x2013;liquid ratio, and extraction time, were systematically optimized with the single-factor test. The results demonstrated that extraction with a 1:200 solid-to-liquid ratio of 80% methanol for 1.5&#x2009;h was the most efficient condition for the extraction of flavonoids. Satisfactory retention times and resolution of the nine analytes were acquired on the Thermo Scientific Hypersil GOLD column with multiple reaction monitoring in negative ion scanning mode. The method was validated to demonstrate its selectivity, linearity, precision, accuracy, and robustness. Thus, the verified UHPLC-QQQ-MS/MS method was successfully applied to the quantification of phenolic components present in <italic>D. officinale</italic> samples. The results indicated that the quantity and composition of phenolic components in <italic>D. officinale</italic> from various provenances were significantly different. This work provides a theoretical foundation for the cultivation and assessment of wild <italic>D. officinale</italic> quality.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Dendrobium officinale</italic>
</kwd>
<kwd>phenolic components</kwd>
<kwd>UHPLC-QQQ-MS/MS</kwd>
<kwd>provenance</kwd>
<kwd>method validation</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="10"/>
<word-count count="4911"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p><italic>Dendrobium officinale</italic> Kimura et Migo (<italic>D. officinale</italic>), a perennial epiphytic member of the Orchidaceae, is considered to have the best medicinal properties in traditional Chinese medicine (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). <italic>Dendrobium officinale</italic>, is a well-known medicinal and food homologous plant, that strengthens the stomach and promotes the production of body fluid, nourishing Yin and clearing heat (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). It is known that <italic>D. officinale</italic> is primarily distributed in several nations, including the United States, Japan, and Australia, and is more broadly distributed in southern China, including the provinces of Zhejiang, Anhui, Fujian, Guangxi, Yunnan, and Guizhou (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). However, <italic>D. officinale</italic> has strict requirements for habitat conditions, a slow growth rate, low yield, and excessive harvesting, which has led to a sharp decrease in the number of wild plants and has been included in the &#x201C;<italic>China Plant Red Data Book</italic>&#x201D; (<xref ref-type="bibr" rid="ref6">6</xref>). Currently, the market for <italic>D. officinale</italic> mainly comes from greenhouse cultivation and imitation wild planting, among which imitation wild planting improves the quality of <italic>D officinale</italic> while making full use of woodland resources, with low cultivation cost and a good ecological environment. However, the 2020 edition of the Chinese Pharmacopoeia only uses polysaccharide content as its quality evaluation index, which is contrary to the theory that complex components in Chinese medicine interact with each other and work synergistically. Therefore, we should comprehensively analyze the active ingredients of <italic>D officinale</italic> and establish a more scientific quality control standard for <italic>D officinale</italic> (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Phenolic compounds include flavonoids, simple phenols and quinones. Numerous natural phenols have attracted great interest from scientists around the world because they are considered safer and have a wide range of health-promoting properties. Flavonoids are a widespread group of secondary metabolites in plants that not only play a key role in the pharmaceutical industry but also serve as excellent chemical markers for quality control of medicinal plants (<xref ref-type="bibr" rid="ref8">8</xref>). <italic>Dendrobium officinale</italic>&#x2019;s active pharmaceutical ingredients include phenols, flavonoids, alkaloids, amino acids, coumarins, terpenes, benzylic compounds, and several trace minerals, in addition to polysaccharides (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12">9&#x2013;12</xref>), which have been widely used to treat hyperglycemia (<xref ref-type="bibr" rid="ref13">13</xref>), hyperlipidemia (<xref ref-type="bibr" rid="ref14">14</xref>), and immune enhancement (<xref ref-type="bibr" rid="ref15">15</xref>) and to benefit the stomach (<xref ref-type="bibr" rid="ref16">16</xref>). Polysaccharides are the predominant bioactive compounds in these substances. Of course, phenolic components are a group of compounds that are also prevalent in <italic>D. officinale</italic>. In recent years, interest has increased due to the potent antioxidant and protective effects of phenolic components against cell toxicity (<xref ref-type="bibr" rid="ref17">17</xref>). Phenolic contents have been effectively isolated, and their structures have been validated. Unfortunately, the development of phenolic components from <italic>D. officinale</italic> has been hampered by the lack of a reliable method for quantitative determination. With the birth and development of large-scale instruments and equipment such as gas chromatographs (GC), liquid chromatography (LC), ultrahigh-performance liquid chromatography (HPLC), and mass spectrometers (MS), instrumental analysis methods have become the most commonly used methods for quantitative analysis of secondary metabolites of plants (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>). Zhu et al. (<xref ref-type="bibr" rid="ref21">21</xref>) used an HPLC assay to simultaneously quantify 11 phenolics in four <italic>Dendrobium</italic> species. The contents of kaempferol, quercetin and myricetin in flavonoids are mainly determined based on the HPLC method (<xref ref-type="bibr" rid="ref22">22</xref>). However, some phenolic components cannot be effectively identified and quantified using HPLC because of poor separation from more abundant components (<xref ref-type="bibr" rid="ref23">23</xref>). Compared with ultrahigh-performance liquid chromatography (HPLC), ultrahigh-performance liquid chromatography&#x2013;tandem mass spectrometry (UHPLC&#x2013;MS/MS) has the characteristics of higher-resolution separation and better identification and quantification of individual components (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref24 ref25 ref26 ref27">24&#x2013;27</xref>).</p>
<p>To establish the method of UHPLC-QQQ&#x2013;MS/MS for the first time for the simultaneous determination of various components of phenolic <italic>D. officinale</italic> for overall quality control. The extraction conditions were optimized, and the extraction method, extraction solvent, solvent concentration, extraction time, and material-to-liquid ratio were investigated. The contents of ferulic acid, chrysin, naringenin, luteolin, L-epicatechin, quercetin, isorhamnetin, cynaroside, and naringin in <italic>D. officinale</italic> from different provenances were determined, and the quality of nine phenolic compounds was comprehensively evaluated by the TOPSIS comprehensive evaluation method. This study may offer a workable and straightforward technique for quality control of imitation wild <italic>D. officinale</italic> as well as a theoretical framework for its development and cultivation.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1.</label>
<title>Instruments, reagents, and materials</title>
<p>The TSQ Quantum Liquid Chromatography&#x2013;Mass Spectrometer (UHPLC&#x2013;MS/MS) included a triple quadrupole mass analyzer, ESI ion source, and Xcalibur workstation. The liquid phase part was a Thermo Accela UHPLC, including an Accela PDA detector, Accela autosampler and Accela 1250 infusion pump, which were purchased from Thermo Fisher Scientific, Inc. XS-105DU 1/100000 and the AL204 1/10000 electronic analytical as well as the KQ-5200E type ultrasonic cleaner were both obtained from Kunshan Ultrasonic Instruments Co.</p>
<p>Quercetin was purchased from the China Institute of Food and Drug Control; Ferulic acid and L-epicatechin were purchased from the China Institute for Testing and Certification of Pharmaceutical and Biological Products. Chrysin, naringenin, luteolin, and cynaroside were acquired from Guizhou Dida Biotechnology Co., Ltd. Isorhamnetin was acquired from Chengdu Pfeiffer Biotechnology Co., Ltd. Quercetin was acquired from the China Institute of Food. Naringin was purchased from Chengdu Botanical Standard Pure Biotechnology Co., Ltd., Research Central Reference Materials Research Center. The purities of the 9 reference substances were all greater than 98%. The analytical purities of methanol (MeOH) and ethanol were purchased from Tianjin Comitry Co., Ltd. Acetonitrile (HPLC grade) was purchased from American TEDIA Company. Formic acid (LC/MS grade) was acquired by ROE SCIENTIFIC Corporation, United States. Food-grade distilled water was purchased from Watson&#x2019;s Food and Beverage Guangzhou Co. The structural formulas of the 9 compounds are shown in <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The chemical structures of nine phenolic components in this study. <bold>(1)</bold> ferulic acid; <bold>(2)</bold> chrysin; <bold>(3)</bold> naringenin; <bold>(4)</bold> luteolin; <bold>(5)</bold> L-epicatechin; <bold>(6)</bold> quercetin; <bold>(7)</bold> isorhamnetin; <bold>(8)</bold> cynaroside; <bold>(9)</bold> naringin.</p>
</caption>
<graphic xlink:href="fnut-10-1129953-g001.tif"/>
</fig>
<p>The majority of medicinal plants are harvested and grown in Yun Guan Shan, a state-owned forest farm in Guizhou Province, China, where they mimic wild <italic>D. officinale</italic> from <italic>Pinus massoniana Lamb.</italic> tree species.</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Sample pretreatment and standard solution</title>
<p>All dry ingredients were ground up and put through a sieve with a mesh size of 60. As mentioned below, 0.1&#x2009;g of samples were weighed exactly (within 0.00001), and they were then extracted once with 80% methanol (20&#x2009;ml) by reflux for 1.5&#x2009;h. The sample was meticulously weighed before extraction, and the weight loss was compensated once the sample solution was weighed and cooled to room temperature. All of the solutions were filtered through a 0.22&#x2009;&#x03BC;m microporous membrane before being put on the device.</p>
<p>Each standard was properly weighed. The reference standards&#x2019; standard stock solutions were made by combining and evaporating in 80% methanol. The working standard solution was then made by gradient-diluting the standard stock solution with the same solvent, and both of these solutions were stored at 4&#x00B0;C for further analysis.</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>Instrumentation and chromatography</title>
<sec id="sec6">
<label>2.3.1.</label>
<title>Ultrahigh-performance liquid chromatography conditions</title>
<p>The chromatographic separations were performed on a thermostat-controlled, 25&#x00B0;C, Thermo Scientific Hypersil GOLD column (50&#x2009;mm&#x2009;&#x00D7;&#x2009;2.1&#x2009;mm, 5&#x2009;&#x03BC;m). The following procedure was used for the gradient elution of 0.1% formic acid acetonitrile (solvent A) and 0.1% formic acid aqueous solution (solvent B) at a flow rate of 200&#x2009;&#x03BC;l/min: 0&#x2013;3&#x2009;min, 5% A; 3&#x2013;3.1&#x2009;min, 5&#x2013;80% A; 3.1&#x2013;6&#x2009;min, 80% A; 6.0&#x2013;6.1&#x2009;min, 80&#x2013;5% A and 6.1&#x2013;12&#x2009;min, 5% A. The injection volume was 10&#x2009;&#x03BC;l.</p>
</sec>
<sec id="sec7">
<label>2.3.2.</label>
<title>Mass spectrometer conditions</title>
<p>Electrospray ionization in the negative ionization mode was used to obtain the mass spectra. The ESI source performed best under the following conditions: spray voltage of 2,500&#x2009;V, the capillary temperature of 350&#x00B0;C, vaporizer temperature of 200&#x00B0;C, sheath gas pressure of 35 Arb, the auxiliary gas pressure of 15 Arb, and vaporizer temperature of 200&#x00B0;C. Multiple reaction monitoring (MRM) was used as the measurement technique, and 0.1&#x2009;s was the scanning interval. <xref rid="tab1" ref-type="table">Table 1</xref> displays the precise quantitative analysis. <xref rid="fig2" ref-type="fig">Figure 2</xref> displays 9 compounds&#x2019; MRM diagrams.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Mass spectral parameters of the nine components.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Compound</th>
<th align="center" valign="top">Molecular weight</th>
<th align="center" valign="top">Chemical formula</th>
<th align="center" valign="top">Parent mass (m/z)</th>
<th align="center" valign="top">Product mass (m/z)</th>
<th align="center" valign="top">T Lens (v)</th>
<th align="center" valign="top">Collision voltage (m&#x2009;Torr)</th>
<th align="center" valign="top">Collision energy (eV)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">ferulic acid</td>
<td align="center" valign="top" rowspan="2">194.18</td>
<td align="center" valign="top" rowspan="2">C10H10O4</td>
<td align="center" valign="top" rowspan="2">193.010</td>
<td align="center" valign="top">133.945</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">18</td>
</tr>
<tr>
<td align="center" valign="top">177.897</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">14</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Chrysin</td>
<td align="center" valign="top" rowspan="2">254.24</td>
<td align="center" valign="top" rowspan="2">C15H10O4</td>
<td align="center" valign="top" rowspan="2">253.040</td>
<td align="center" valign="top">142.948</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">26</td>
</tr>
<tr>
<td align="center" valign="top">185.062</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">21</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Naringenin</td>
<td align="center" valign="top" rowspan="2">272.25</td>
<td align="center" valign="top" rowspan="2">C15H12O5</td>
<td align="center" valign="top" rowspan="2">271.019</td>
<td align="center" valign="top">118.953</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">30</td>
</tr>
<tr>
<td align="center" valign="top">150.880</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">21</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top">286.05</td>
<td align="center" valign="top">C15H10O6</td>
<td align="center" valign="top">285.036</td>
<td align="center" valign="top">132.933</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">36</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">L-Epicatechin</td>
<td align="center" valign="top" rowspan="2">290.27</td>
<td align="center" valign="top" rowspan="2">C15H14O6</td>
<td align="center" valign="top" rowspan="2">289.043</td>
<td align="center" valign="top">203.018</td>
<td align="center" valign="top">130</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">14</td>
</tr>
<tr>
<td align="center" valign="top">244.948</td>
<td align="center" valign="top">130</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Quercetin</td>
<td align="center" valign="top" rowspan="2">302.24</td>
<td align="center" valign="top" rowspan="2">C15H10O7</td>
<td align="center" valign="top" rowspan="2">301.001</td>
<td align="center" valign="top">150.980</td>
<td align="center" valign="top">109</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">19</td>
</tr>
<tr>
<td align="center" valign="top">178.864</td>
<td align="center" valign="top">109</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Isorhamnetin</td>
<td align="center" valign="top" rowspan="2">316.26</td>
<td align="center" valign="top" rowspan="2">C16H12O7</td>
<td align="center" valign="top" rowspan="2">315.006</td>
<td align="center" valign="top">150.884</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">20</td>
</tr>
<tr>
<td align="center" valign="top">299.863</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">15</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Cynaroside</td>
<td align="center" valign="top" rowspan="2">448.38</td>
<td align="center" valign="top" rowspan="2">C21H20O11</td>
<td align="center" valign="top" rowspan="2">447.064</td>
<td align="center" valign="top">283.742</td>
<td align="center" valign="top">133</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">40</td>
</tr>
<tr>
<td align="center" valign="top">284.859</td>
<td align="center" valign="top">133</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">29</td>
</tr>
<tr>
<td align="left" valign="top">Naringin</td>
<td align="center" valign="top">580.18</td>
<td align="center" valign="top">C27H32O14</td>
<td align="center" valign="top">579.135</td>
<td align="center" valign="top">270.784</td>
<td align="center" valign="top">182</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">33</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Multiple reaction monitoring (MRM) chromatograms of 9 components.</p>
</caption>
<graphic xlink:href="fnut-10-1129953-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="sec8">
<label>2.4.</label>
<title>Extraction optimization</title>
<p>Different extraction methods were investigated by a single-factor experiment: ultrasound (100&#x2009;W, 90&#x2009;kHz, 60&#x2009;min), reflux (60&#x2009;min, 67&#x00B0;C), and cold soaking (60&#x2009;min); different solvents: ethanol, methanol, water, different concentrations: methanol (40, 60, 80, and 100%). Then the effects of different solid&#x2013;liquid ratios of 1:200, 1:300, 1:400, and 1:500 (<italic>m</italic>/<italic>v</italic>), and reflux extraction times of 0.5, 1, 1.5, and 2&#x2009;h on the extraction were studied. The supernatant was examined by &#x201C;2.3&#x201D; chromatography after being filtered using a 0.22&#x2009;&#x03BC;m microporous organic membrane. Nine peaks&#x2019; response values, peak areas, and peak forms were compared.</p>
</sec>
<sec id="sec9">
<label>2.5.</label>
<title>Method validation for quantitative analysis</title>
<sec id="sec10">
<label>2.5.1.</label>
<title>Linearity LOQ and LOD</title>
<p>The master batch of the control solution was aspirated and prepared into a mass concentration gradient solution. Following &#x201C;2.3&#x2033;&#x2018;s chromatographic conditions, the mass concentration was employed as the horizontal coordinate (<italic>X</italic>), and the peak area as the vertical coordinate (<italic>Y</italic>). The standard curve&#x2019;s lowest concentration point is called the LOQ. Signal-to-noise ratios (S/N) of 3 were used to calculate the limits of detection (LOD).</p>
</sec>
<sec id="sec11">
<label>2.5.2.</label>
<title>Precision, stability, repeatability, and recovery</title>
<p>The intraday and interday variations were used to investigate the accuracy of the suggested approach. The intraday precision was calculated by following the standard curve for three consecutive days, mixing 9 standards, injecting them six times, and calculating the concentration and relative standard deviation (RSD%) at each level. At various time intervals of 0, 2, 4, 8, 12, and 24&#x2009;h, the sample was injected and examined. Six identical samples were prepared in parallel to test the repeatability of the process. Three different concentration levels of the standard solutions&#x2014;50, 100, and 150%&#x2014;were added to the sample powder for the recovery test to assess the method&#x2019;s accuracy. The sample powder was then extracted, and the results were examined. For each level, three parallel samples were taken.</p>
</sec>
</sec>
<sec id="sec12">
<label>2.6.</label>
<title>The Technique for Order Preference by Similarity to Ideal Solution evaluation</title>
<p>The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is a multi-index decision analysis method, that calculates the multi-index as a comprehensive index, and transforms the multidimensional problem into a one-dimensional problem, which greatly reduces the interference of different types of indicators on decision-making in the analysis process, and significantly improves the scientificity and accuracy of multiobjective decision analysis (<xref ref-type="bibr" rid="ref28">28</xref>). It has been widely used in the quality evaluation of various Chinese medicinal materials.</p>
</sec>
</sec>
<sec id="sec13" sec-type="results">
<label>3.</label>
<title>Results and discussion</title>
<sec id="sec14">
<label>3.1.</label>
<title>Qualitative analysis</title>
<p>In this paper, 597 metabolites were detected based on the UHPLC&#x2013;MS/MS detection platform and a self-built database, and 185 flavonoids were screened through primary classification. This part of the experiment was performed by Wuhan Maitville Biotechnology Co., Ltd. Therefore, the UHPLC&#x2013;ESI MS/MS method was established to compare the total ion current diagram and fragment ion diagram of the <italic>D officinale</italic> extract and standard sample, and nine phenolic compounds were identified, ferulic acid (<xref ref-type="bibr" rid="ref1">1</xref>), chrysin (<xref ref-type="bibr" rid="ref2">2</xref>), naringenin (<xref ref-type="bibr" rid="ref3">3</xref>), luteolin (<xref ref-type="bibr" rid="ref4">4</xref>), L-epicatechin (<xref ref-type="bibr" rid="ref5">5</xref>), quercetin (<xref ref-type="bibr" rid="ref6">6</xref>), isorhamnetin (<xref ref-type="bibr" rid="ref7">7</xref>), cynaroside (<xref ref-type="bibr" rid="ref8">8</xref>), and naringin (<xref ref-type="bibr" rid="ref9">9</xref>), as shown in <xref rid="fig3" ref-type="fig">Figure 3</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The tandem mass spectrometry (MS/MS) spectra of the standards <bold>(A)</bold> and the phenolic components in the samples <bold>(B)</bold>.</p>
</caption>
<graphic xlink:href="fnut-10-1129953-g003.tif"/>
</fig>
</sec>
<sec id="sec15">
<label>3.2.</label>
<title>Extraction optimization</title>
<p>The following extraction methods (sonication, reflux, cold soak), extraction solvents (ethanol, methanol, water), solvent concentrations (40, 60, 80, 100% methanol), extraction stock ratios [1:200, 1:300, 1:400, 1:500 (m/v)], and extraction times (0.5, 1, 1.5, and 2&#x2009;h) were optimized, as shown in <xref rid="fig4" ref-type="fig">Figure 4</xref>. Reflux extraction was chosen for the herb&#x2019;s extraction because it produced much more naringenin and cynaroside than the other two extraction techniques. More phenols were extracted from methanol, while more polysaccharides were extracted from aqueous extracts that were not well filtered. The longer the extraction time was, the greater the extracted phenol content increased, but when the time was 1.5&#x2009;h after the slow growth. The extraction of phenolic compounds was not significantly impacted by the material-to-liquid ratio. The feed-to-liquid ratio of 1:200 and 1.5&#x2009;h of refluxing 80% methanol resulted in the best extraction conditions.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Optimization of extraction methods <bold>(A)</bold>, extraction solvent <bold>(B)</bold>, solvent concentrations <bold>(C)</bold>, extraction stock ratios <bold>(D)</bold>, and extraction times<bold>(E)</bold>.</p>
</caption>
<graphic xlink:href="fnut-10-1129953-g004.tif"/>
</fig>
</sec>
<sec id="sec16">
<label>3.3.</label>
<title>Validation of the quantitative analysis method</title>
<p>The mass concentration was used as the horizontal coordinate (<italic>X</italic>), and the peak area was used as the vertical coordinate in the linear regression (<italic>Y</italic>). The regression equation and correlation coefficient (<italic>R</italic><sup>2</sup>) were calculated, and the maximum LOD and LOQ of the 9 compounds were 16.89 and 15&#x2009;ng/ml, respectively. The result shown in <xref rid="tab2" ref-type="table">Table 2</xref>, show good linearity.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Linear regression date of nine components.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Compound</th>
<th align="center" valign="top">Regression equation</th>
<th align="center" valign="top">
<italic>R</italic>
<sup>2</sup>
</th>
<th align="center" valign="top">Linearity range (ng/mL)</th>
<th align="center" valign="top">LOD (ng/mL)</th>
<th align="center" valign="top">LOQ (ng/mL)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Ferulic acid</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;208.33<break/><italic>X</italic> +&#x2009;1515.2</td>
<td align="center" valign="top">0.9992</td>
<td align="center" valign="top">15&#x2009;~&#x2009;1,500</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">9.11</td>
</tr>
<tr>
<td align="left" valign="top">Chrysin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;6,986<break/><italic>X</italic> +&#x2009;106,987</td>
<td align="center" valign="top">0.9992</td>
<td align="center" valign="top">5&#x2009;~&#x2009;500</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">1.77</td>
</tr>
<tr>
<td align="left" valign="top">Naringenin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;22,034<break/><italic>X</italic> +&#x2009;320,994</td>
<td align="center" valign="top">0.9991</td>
<td align="center" valign="top">8&#x2009;~&#x2009;800</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8.96</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;18,117<break/><italic>X</italic> +&#x2009;14,977</td>
<td align="center" valign="top">0.9993</td>
<td align="center" valign="top">1&#x2009;~&#x2009;100</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.27</td>
</tr>
<tr>
<td align="left" valign="top">L-Epicatechin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;1397.4<break/><italic>X</italic> +&#x2009;17,484</td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">14&#x2009;~&#x2009;1,400</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">16.89</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;6877.6<break/><italic>X</italic> +&#x2009;1,084</td>
<td align="center" valign="top">0.9992</td>
<td align="center" valign="top">3&#x2009;~&#x2009;300</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3.96</td>
</tr>
<tr>
<td align="left" valign="top">Isorhamnetin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;26,369<break/><italic>X</italic> +&#x2009;12,225</td>
<td align="center" valign="top">0.9994</td>
<td align="center" valign="top">1&#x2009;~&#x2009;100</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.49</td>
</tr>
<tr>
<td align="left" valign="top">Cynaroside</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;28,092<break/><italic>X</italic>&#x2013;7772.9</td>
<td align="center" valign="top">0.9993</td>
<td align="center" valign="top">1&#x2009;~&#x2009;100</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.37</td>
</tr>
<tr>
<td align="left" valign="top">Naringin</td>
<td align="center" valign="top"><italic>Y</italic> =&#x2009;18,604<break/><italic>X</italic>&#x2013;835.32</td>
<td align="center" valign="top">0.9992</td>
<td align="center" valign="top">0.05&#x2009;~&#x2009;5</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">0.05</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The within-day and between-day variations were used to evaluate the precision of this UHPLC&#x2013;MS/MS method for measuring <italic>D. officinale</italic>. The relative standard deviation RSD for the intraday and interday precision ranged from 1.60 to 7.49% and from 5.89 to 9.99%, respectively. Then, the relative standard deviation for repeatability and stability varies from 1.49 to 12.50%. <xref rid="tab3" ref-type="table">Table 3</xref> presents the outcomes. According to <xref rid="tab4" ref-type="table">Table 4</xref>, the average recoveries of the spiked trials ranged from 79.87 to 99.15%, with RSDs between 7.02 and 16.98%. The experimental outcomes further showed that the analytical approach is reliable and capable of fulfilling the assay&#x2019;s requirements.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Stability, repeatability, inter-day precision, and intra-day precision of nine components.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Compound</th>
<th align="center" valign="top" colspan="2" rowspan="2">Stability</th>
<th align="center" valign="top" colspan="2" rowspan="2">Repeatability</th>
<th align="center" valign="top" colspan="4">Precision</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2">Intra-day</th>
<th align="center" valign="top" colspan="2">Inter-day</th>
</tr>
<tr>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">RSD (%)</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">RSD (%)</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">RSD (%)</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">RSD (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Ferulic Acid</td>
<td align="center" valign="top">380.18</td>
<td align="center" valign="top">1.49</td>
<td align="center" valign="top">46.60</td>
<td align="center" valign="top">7.21</td>
<td align="center" valign="top">47.77</td>
<td align="center" valign="top">4.61</td>
<td align="center" valign="top">417.29</td>
<td align="center" valign="top">9.99</td>
</tr>
<tr>
<td align="left" valign="top">Chrysin</td>
<td align="center" valign="top">19.43</td>
<td align="center" valign="top">5.65</td>
<td align="center" valign="top">42.51</td>
<td align="center" valign="top">7.36</td>
<td align="center" valign="top">48.90</td>
<td align="center" valign="top">2.16</td>
<td align="center" valign="top">14.79</td>
<td align="center" valign="top">7.11</td>
</tr>
<tr>
<td align="left" valign="top">Naringenin</td>
<td align="center" valign="top">115.94</td>
<td align="center" valign="top">4.23</td>
<td align="center" valign="top">49.82</td>
<td align="center" valign="top">6.42</td>
<td align="center" valign="top">57.48</td>
<td align="center" valign="top">4.31</td>
<td align="center" valign="top">114.45</td>
<td align="center" valign="top">7.83</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">9.83</td>
<td align="center" valign="top">11.84</td>
<td align="center" valign="top">4.04</td>
<td align="center" valign="top">7.37</td>
<td align="center" valign="top">1.60</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">7.82</td>
</tr>
<tr>
<td align="left" valign="top">L-Epicatechin</td>
<td align="center" valign="top">85.02</td>
<td align="center" valign="top">3.89</td>
<td align="center" valign="top">110.64</td>
<td align="center" valign="top">3.41</td>
<td align="center" valign="top">114.43</td>
<td align="center" valign="top">2.40</td>
<td align="center" valign="top">60.49</td>
<td align="center" valign="top">6.02</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top">38.76</td>
<td align="center" valign="top">3.56</td>
<td align="center" valign="top">18.42</td>
<td align="center" valign="top">6.43</td>
<td align="center" valign="top">17.14</td>
<td align="center" valign="top">2.35</td>
<td align="center" valign="top">25.45</td>
<td align="center" valign="top">9.85</td>
</tr>
<tr>
<td align="left" valign="top">Isorhamnetin</td>
<td align="center" valign="top">2.54</td>
<td align="center" valign="top">8.49</td>
<td align="center" valign="top">6.46</td>
<td align="center" valign="top">2.92</td>
<td align="center" valign="top">6.45</td>
<td align="center" valign="top">4.87</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">8.21</td>
</tr>
<tr>
<td align="left" valign="top">Cynaroside</td>
<td align="center" valign="top">1.09</td>
<td align="center" valign="top">3.18</td>
<td align="center" valign="top">7.59</td>
<td align="center" valign="top">1.53</td>
<td align="center" valign="top">7.31</td>
<td align="center" valign="top">6.58</td>
<td align="center" valign="top">1.26</td>
<td align="center" valign="top">6.55</td>
</tr>
<tr>
<td align="left" valign="top">Naringin</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">7.14</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">12.50</td>
<td align="center" valign="top">0.66</td>
<td align="center" valign="top">5.17</td>
<td align="center" valign="top">20.49</td>
<td align="center" valign="top">6.35</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Results of <italic>Dendrobium officinale</italic> spiked sample recovery experiment.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Compound</th>
<th align="center" valign="top">Average recovery (%)</th>
<th align="center" valign="top">RSD (%)</th>
<th align="center" valign="top">Compound</th>
<th align="center" valign="top">Average recovery (%)</th>
<th align="center" valign="top">RSD (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Ferulic Acid</td>
<td align="center" valign="top">93.39</td>
<td align="center" valign="top">7.02</td>
<td align="center" valign="top">Quercetin</td>
<td align="center" valign="top">86.97</td>
<td align="center" valign="top">14.83</td>
</tr>
<tr>
<td align="left" valign="top">Chrysin</td>
<td align="center" valign="top">89.17</td>
<td align="center" valign="top">14.94</td>
<td align="center" valign="top">Isorhamnetin</td>
<td align="center" valign="top">89.43</td>
<td align="center" valign="top">12.07</td>
</tr>
<tr>
<td align="left" valign="top">Naringenin</td>
<td align="center" valign="top">87.25</td>
<td align="center" valign="top">11.68</td>
<td align="center" valign="top">Cynaroside</td>
<td align="center" valign="top">86.07</td>
<td align="center" valign="top">16.98</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top">79.87</td>
<td align="center" valign="top">7.47</td>
<td align="center" valign="top">Naringin</td>
<td align="center" valign="top">86.79</td>
<td align="center" valign="top">14.80</td>
</tr>
<tr>
<td align="left" valign="top">L-Epicatechin</td>
<td align="center" valign="top">90.20</td>
<td align="center" valign="top">10.91</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec17">
<label>3.4.</label>
<title><italic>Dendrobium officinale</italic> sample analysis</title>
<p>The validated method is used to analyze samples from different sources. <xref rid="tab5" ref-type="table">Table 5</xref> displays the quantitative results obtained from the calibration curve. Each sample was analyzed in triplicate. A total of 9 flavonoids were detected in the <italic>D officinale</italic> samples. The ferulic acid, naringenin, and epicatechin contents were higher in each provenance than the other components, while the luteolin content was lower in each provenance. Of these, the Guangxi provenance had the highest levels of ferulic acid and L-epicatechin, at 88.27 and 109.68 &#x03BC;g/g, respectively. Chrysin, naringenin, quercetin, and isorhamnetin were all much more abundant in ZJ origin than they were in other compounds, while luteolin and naringenin were the least abundant of all ZJ provenances. The impacts of geographical origins and storage conditions may account for the significant variations in flavonoid composition and content between batches of <italic>D. officinale</italic> samples.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The content of nine compounds in <italic>Dendrobium officinale</italic> samples (&#x03BC;g/g).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Compound</th>
<th align="center" valign="top">FJ</th>
<th align="center" valign="top">AL</th>
<th align="center" valign="top">FJS</th>
<th align="center" valign="top">GX</th>
<th align="center" valign="top">ZJ</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Ferulic acid</td>
<td align="center" valign="top">77.85 &#x00B1; 2.60</td>
<td align="center" valign="top">71.00 &#x00B1; 5.68</td>
<td align="center" valign="top">31.06 &#x00B1; 4.55</td>
<td align="center" valign="top">88.27 &#x00B1; 1.96</td>
<td align="center" valign="top">55.36 &#x00B1; 3.52</td>
</tr>
<tr>
<td align="left" valign="top">Chrysin</td>
<td align="center" valign="top">2.14 &#x00B1; 0.73</td>
<td align="center" valign="top">2.56 &#x00B1; 0.98 </td>
<td align="center" valign="top">2.62 &#x00B1; 0.62</td>
<td align="center" valign="top">2.33 &#x00B1; 0.06</td>
<td align="center" valign="top">10.20 &#x00B1; 0.46 </td>
</tr>
<tr>
<td align="left" valign="top">Naringenin</td>
<td align="center" valign="top">60.18 &#x00B1; 0.34</td>
<td align="center" valign="top">35.74 &#x00B1; 1.28</td>
<td align="center" valign="top">67.07 &#x00B1; 0.58</td>
<td align="center" valign="top">67.96 &#x00B1; 0.09</td>
<td align="center" valign="top">76.56 &#x00B1; 1.66</td>
</tr>
<tr>
<td align="left" valign="top">Luteolin</td>
<td align="center" valign="top">0.60 &#x00B1; 0.46</td>
<td align="center" valign="top">0.12 &#x00B1; 0.07</td>
<td align="center" valign="top">0.19 &#x00B1; 0.04</td>
<td align="center" valign="top">0.30 &#x00B1; 0.03</td>
<td align="center" valign="top">0.20 &#x00B1; 0.10</td>
</tr>
<tr>
<td align="left" valign="top">L-Epicatechin</td>
<td align="center" valign="top">37.28 &#x00B1; 1.07</td>
<td align="center" valign="top">101.09 &#x00B1; 2.62</td>
<td align="center" valign="top">94.86 &#x00B1; 9.55</td>
<td align="center" valign="top">109.68 &#x00B1; 2.87</td>
<td align="center" valign="top">67.54 &#x00B1; 4.52</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top">3.16 &#x00B1; 0.05</td>
<td align="center" valign="top">2.13 &#x00B1; 0.32</td>
<td align="center" valign="top">2.31 &#x00B1; 0.25</td>
<td align="center" valign="top">2.44 &#x00B1; 0.24</td>
<td align="center" valign="top">4.84 &#x00B1; 0.40</td>
</tr>
<tr>
<td align="left" valign="top">Isorhamnetin</td>
<td align="center" valign="top">0.32 &#x00B1; 0.05</td>
<td align="center" valign="top">0.23 &#x00B1; 0.02</td>
<td align="center" valign="top">0.30 &#x00B1; 0.11</td>
<td align="center" valign="top">0.23 &#x00B1; 0.02</td>
<td align="center" valign="top">0.80 &#x00B1; 0.40</td>
</tr>
<tr>
<td align="left" valign="top">Cynaroside</td>
<td align="center" valign="top">0.39 &#x00B1; 0.09</td>
<td align="center" valign="top">0.35 &#x00B1; 0.04</td>
<td align="center" valign="top">0.31 &#x00B1; 0.02</td>
<td align="center" valign="top">0.42 &#x00B1; 0.08</td>
<td align="center" valign="top">0.42 &#x00B1; 0.20</td>
</tr>
<tr>
<td align="left" valign="top">Naringin</td>
<td align="center" valign="top">0.11 &#x00B1; 0.02</td>
<td align="center" valign="top">0.24 &#x00B1; 0.00</td>
<td align="center" valign="top">0.21 &#x00B1; 0.06</td>
<td align="center" valign="top">0.14 &#x00B1; 0.06</td>
<td align="center" valign="top">0.20 &#x00B1; 0.20</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The quality of imitation wild <italic>D. officinale</italic> was properly evaluated by TOPSIS, and elevated provenances were selected based on their phenol content. <italic>D</italic>&#x2009;+ is the distance between each treatment and the optimal index, and <italic>D</italic>&#x2009;&#x2212; is the distance from the worst vector. The smaller the value is, the closer it is to the optimal index or the worst index. CI&#x2009;=&#x2009;<italic>D</italic>&#x2013;/(<italic>D</italic>&#x2009;+&#x2009;+&#x2009;<italic>D</italic>&#x2013;), the greater the value, the better the overall efficiency. According to the CI value of each index, the advantages and disadvantages of the 5 provenances were as follows: Zhejiang&#x2009;&#x003E;&#x2009;Fujian&#x2009;&#x003E;&#x2009;Guangxi&#x2009;&#x003E;&#x2009;Anlong&#x2009;&#x003E;&#x2009;Fanjingshan. Among them, the Anlong, Fanjingshan, and Guangxi CI values are close to the specific data shown in <xref rid="tab6" ref-type="table">Table 6</xref>. The maximum CI of the ZJ provenance is 0.7296, which can be further studied and developed as a superior quality provenance (<xref rid="tab6" ref-type="table">Table 6</xref>).</p>
</sec>
</sec>
<sec id="sec18" sec-type="conclusions">
<label>4.</label>
<title>Conclusion</title>
<p>In this study, an effective UHPLC-QQQ-MS/MS technique for the isolation and quantification of nine phenolic compounds in <italic>D. officinale</italic> was effectively established and verified. Following optimization, samples were extracted using reflux and an aqueous solution of 80% methanol. The UHPLC-QQQ-MS/MS technology developed in the current study is precise and sensitive for quantifying the main phenolic components. Further analysis with TOPSIS using the contents of the nine phenolic compounds suggested that <italic>D. officinale</italic> should be screened for high-quality ZJ seed sources. The validation data demonstrated satisfactory linearity, precision, accuracy, repeatability, and stability. According to the findings, the UHPLC-QQQ-MS/MS approach shows excellent potential for use in the investigation of bioactive substances in herbal medicines.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) evaluation results <xref ref-type="bibr" rid="ref7">(7)</xref>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Index value</th>
<th align="center" valign="top">(<italic>D</italic>+)</th>
<th align="center" valign="top">(<italic>D</italic>&#x2013;)</th>
<th align="center" valign="top">CI</th>
<th align="center" valign="top">Rank</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">FJ</td>
<td align="center" valign="top">0.6964</td>
<td align="center" valign="top">0.3942</td>
<td align="center" valign="top">0.3614</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">AL</td>
<td align="center" valign="top">0.8111</td>
<td align="center" valign="top">0.2570</td>
<td align="center" valign="top">0.2406</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">FJS</td>
<td align="center" valign="top">0.7695</td>
<td align="center" valign="top">0.2248</td>
<td align="center" valign="top">0.2261</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">GX</td>
<td align="center" valign="top">0.7582</td>
<td align="center" valign="top">0.3174</td>
<td align="center" valign="top">0.2951</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">ZJ</td>
<td align="center" valign="top">0.2933</td>
<td align="center" valign="top">0.7914</td>
<td align="center" valign="top">0.7296</td>
<td align="center" valign="top">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec19" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="sec20">
<title>Author contributions</title>
<p>YsM, LC, and XG finished all the experiments. CZ and XZ contributed to the concept development and outline arrangement, and revised the work critically for important intellectual content. YhM and SZ contributed to relevant references by collecting and drawing pictures. JM and KL analyzed the data and participated in the discussion on views in the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec21" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by Guizhou Forestry Scientific Research Project [Qianlin Kehe (202112)]; High level innovative talents training project of Guizhou Province (20154033); Guizhou Rural Industrial Revolution Dendrobium Industry Development Special Funds; He Chengyao National Medical Master Inheritance Studio.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The study&#x2019;s authors affirm that there were no financial or commercial ties that might be viewed as having a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<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>
</body>
<back>
<sec id="sec25" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1129953/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2023.1129953/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item>
<term>
<italic>D. officinale</italic>
</term>
<def>
<p><italic>Dendrobium officinale</italic> Kimura et Migo</p>
</def>
</def-item>
<def-item>
<term>UHPLC-QQQ-MS/MS</term>
<def>
<p>ultrahigh performance liquid chromatography-triple quadrupole tandem mass spectrometry</p>
</def>
</def-item>
<def-item>
<term>TOPSIS</term>
<def>
<p>technique for order preference by similarity to ideal solution</p>
</def>
</def-item>
<def-item>
<term>LOD</term>
<def>
<p>limits of determination</p>
</def>
</def-item>
<def-item>
<term>LOQ</term>
<def>
<p>limits of quantification</p>
</def>
</def-item>
<def-item>
<term><italic>D</italic>&#x2013;</term>
<def>
<p>negative ideal solution distance</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>composite score index</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>