Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics
Spreading, the initial process of green tea manufacturing, plays a pivotal role in shaping the quality of green tea. Herein, a comprehensive study was conducted employing targeted and untargeted metabolomics to explore the dynamic variations of volatile metabolites (VMs) and non-volatile metabolites...
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| Veröffentlicht in: | Food science & technology 2025-01, Vol.215, p.117152, Article 117152 |
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| creator | Hu, Jiajing Xie, Jialing Wang, Qiwei Tang, Jiahao Zhou, Xianxiu Yuan, Haibo Jiang, Yongwen Yang, Yanqin |
| description | Spreading, the initial process of green tea manufacturing, plays a pivotal role in shaping the quality of green tea. Herein, a comprehensive study was conducted employing targeted and untargeted metabolomics to explore the dynamic variations of volatile metabolites (VMs) and non-volatile metabolites (NVMs) throughout the yellow-light irradiation spreading procedure. Findings indicated that both VMs and NVMs exhibited continuous variations during the spreading process, with the most significant alterations observed at 2-h spreading. A total of 74 VMs were successfully identified, with esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) being the predominant compounds. Moreover, 19 VMs such as (E, Z)-2,6-nonadienal and phenylethyl alcohol were regarded as crucial odorants during the yellow-light irradiation spreading process. These key odorants primarily stemmed from the lipid degradation and glycoside hydrolysis during the spreading process. Additionally, a total of 124 NVMs belonging to 10 subcategories were identified, and 29 pivotal NVMs were identified as important differential metabolites throughout the spreading process as per variable importance in projection >1.0 and p |
| doi_str_mv | 10.1016/j.lwt.2024.117152 |
| format | Article |
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[Display omitted]
•Volatile and non-volatile metabolites exhibited marked variations at 2-h spreading.•Esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) were the most abundant.•A total of 19 volatile compounds were regarded as key odorants during spreading.•Lipid degradation and glycoside hydrolysis were the main pathways during spreading.•Twenty-nine key differential non-volatile metabolites were found during spreading.</description><identifier>ISSN: 0023-6438</identifier><identifier>DOI: 10.1016/j.lwt.2024.117152</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>GC-E-Nose ; glycosides ; Green tea ; hydrolysis ; irradiation ; lipids ; metabolites ; metabolomics ; odor compounds ; phenylethyl alcohol ; Spreading process ; Targeted metabolomics ; Untargeted metabolomics</subject><ispartof>Food science & technology, 2025-01, Vol.215, p.117152, Article 117152</ispartof><rights>2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c255t-a927f61731741fefeb87e861fb6b8dc88c3b4354a4889d8a26a2d406018eb9153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S002364382401435X$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Hu, Jiajing</creatorcontrib><creatorcontrib>Xie, Jialing</creatorcontrib><creatorcontrib>Wang, Qiwei</creatorcontrib><creatorcontrib>Tang, Jiahao</creatorcontrib><creatorcontrib>Zhou, Xianxiu</creatorcontrib><creatorcontrib>Yuan, Haibo</creatorcontrib><creatorcontrib>Jiang, Yongwen</creatorcontrib><creatorcontrib>Yang, Yanqin</creatorcontrib><title>Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics</title><title>Food science & technology</title><description>Spreading, the initial process of green tea manufacturing, plays a pivotal role in shaping the quality of green tea. Herein, a comprehensive study was conducted employing targeted and untargeted metabolomics to explore the dynamic variations of volatile metabolites (VMs) and non-volatile metabolites (NVMs) throughout the yellow-light irradiation spreading procedure. Findings indicated that both VMs and NVMs exhibited continuous variations during the spreading process, with the most significant alterations observed at 2-h spreading. A total of 74 VMs were successfully identified, with esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) being the predominant compounds. Moreover, 19 VMs such as (E, Z)-2,6-nonadienal and phenylethyl alcohol were regarded as crucial odorants during the yellow-light irradiation spreading process. These key odorants primarily stemmed from the lipid degradation and glycoside hydrolysis during the spreading process. Additionally, a total of 124 NVMs belonging to 10 subcategories were identified, and 29 pivotal NVMs were identified as important differential metabolites throughout the spreading process as per variable importance in projection >1.0 and p < 0.05. These findings provide a robust theoretical framework for the strategic processing of green tea with respect to regulating its quality.
[Display omitted]
•Volatile and non-volatile metabolites exhibited marked variations at 2-h spreading.•Esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) were the most abundant.•A total of 19 volatile compounds were regarded as key odorants during spreading.•Lipid degradation and glycoside hydrolysis were the main pathways during spreading.•Twenty-nine key differential non-volatile metabolites were found during spreading.</description><subject>GC-E-Nose</subject><subject>glycosides</subject><subject>Green tea</subject><subject>hydrolysis</subject><subject>irradiation</subject><subject>lipids</subject><subject>metabolites</subject><subject>metabolomics</subject><subject>odor compounds</subject><subject>phenylethyl alcohol</subject><subject>Spreading process</subject><subject>Targeted metabolomics</subject><subject>Untargeted metabolomics</subject><issn>0023-6438</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNp9UbtOxDAQTAESzw-gc0mTYDtO4hMVQrwkJBquthx7c_jksw_bF5QP4__wEaBkm9WsZmZ3NUVxQXBFMGmv1pX9SBXFlFWEdKShB8UxxrQuW1bzo-IkxjXOxSg_Lj6XLsgRrHErlN4A6cnJjVFolMHIZLyLyA9o9DYDC0g6jZx35d9gA0n23poEERmHVgHAoQQS6V349ZzAWv9RWrN6S8iEIPVsjeI2QAaZtg1eQYyon1CSYQUJ9PeunfuDP5t8vi6eFYeDtBHOf_ppsby_e719LJ9fHp5ub55LRZsmlXJBu6ElXU06RgYYoOcd8JYMfdtzrThXdc_qhknG-UJzSVtJNcMtJhz6BWnq0-Jy9s33ve8gJrExUeV3pAO_i6ImDaNN3WGeqWSmquBjDDCIbTAbGSZBsNjHItYixyL2sYg5lqy5njWQfxgNBBGVAadAmwAqCe3NP-ov2BGc5g</recordid><startdate>20250101</startdate><enddate>20250101</enddate><creator>Hu, Jiajing</creator><creator>Xie, Jialing</creator><creator>Wang, Qiwei</creator><creator>Tang, Jiahao</creator><creator>Zhou, Xianxiu</creator><creator>Yuan, Haibo</creator><creator>Jiang, Yongwen</creator><creator>Yang, Yanqin</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20250101</creationdate><title>Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics</title><author>Hu, Jiajing ; Xie, Jialing ; Wang, Qiwei ; Tang, Jiahao ; Zhou, Xianxiu ; Yuan, Haibo ; Jiang, Yongwen ; Yang, Yanqin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-a927f61731741fefeb87e861fb6b8dc88c3b4354a4889d8a26a2d406018eb9153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>GC-E-Nose</topic><topic>glycosides</topic><topic>Green tea</topic><topic>hydrolysis</topic><topic>irradiation</topic><topic>lipids</topic><topic>metabolites</topic><topic>metabolomics</topic><topic>odor compounds</topic><topic>phenylethyl alcohol</topic><topic>Spreading process</topic><topic>Targeted metabolomics</topic><topic>Untargeted metabolomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Jiajing</creatorcontrib><creatorcontrib>Xie, Jialing</creatorcontrib><creatorcontrib>Wang, Qiwei</creatorcontrib><creatorcontrib>Tang, Jiahao</creatorcontrib><creatorcontrib>Zhou, Xianxiu</creatorcontrib><creatorcontrib>Yuan, Haibo</creatorcontrib><creatorcontrib>Jiang, Yongwen</creatorcontrib><creatorcontrib>Yang, Yanqin</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Food science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Jiajing</au><au>Xie, Jialing</au><au>Wang, Qiwei</au><au>Tang, Jiahao</au><au>Zhou, Xianxiu</au><au>Yuan, Haibo</au><au>Jiang, Yongwen</au><au>Yang, Yanqin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics</atitle><jtitle>Food science & technology</jtitle><date>2025-01-01</date><risdate>2025</risdate><volume>215</volume><spage>117152</spage><pages>117152-</pages><artnum>117152</artnum><issn>0023-6438</issn><abstract>Spreading, the initial process of green tea manufacturing, plays a pivotal role in shaping the quality of green tea. Herein, a comprehensive study was conducted employing targeted and untargeted metabolomics to explore the dynamic variations of volatile metabolites (VMs) and non-volatile metabolites (NVMs) throughout the yellow-light irradiation spreading procedure. Findings indicated that both VMs and NVMs exhibited continuous variations during the spreading process, with the most significant alterations observed at 2-h spreading. A total of 74 VMs were successfully identified, with esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) being the predominant compounds. Moreover, 19 VMs such as (E, Z)-2,6-nonadienal and phenylethyl alcohol were regarded as crucial odorants during the yellow-light irradiation spreading process. These key odorants primarily stemmed from the lipid degradation and glycoside hydrolysis during the spreading process. Additionally, a total of 124 NVMs belonging to 10 subcategories were identified, and 29 pivotal NVMs were identified as important differential metabolites throughout the spreading process as per variable importance in projection >1.0 and p < 0.05. These findings provide a robust theoretical framework for the strategic processing of green tea with respect to regulating its quality.
[Display omitted]
•Volatile and non-volatile metabolites exhibited marked variations at 2-h spreading.•Esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) were the most abundant.•A total of 19 volatile compounds were regarded as key odorants during spreading.•Lipid degradation and glycoside hydrolysis were the main pathways during spreading.•Twenty-nine key differential non-volatile metabolites were found during spreading.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.lwt.2024.117152</doi><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; Elsevier ScienceDirect Journals; Alma/SFX Local Collection |
| subjects | GC-E-Nose glycosides Green tea hydrolysis irradiation lipids metabolites metabolomics odor compounds phenylethyl alcohol Spreading process Targeted metabolomics Untargeted metabolomics |
| title | Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics |
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