采用GC- e - nose、GC- o - ms和GC × GC- tofms结合化学计量学对栀子茶香气特征进行表征

Jialing Xie, Qiwei Wang, Hongchun Cui, Lilei Wang, Yuliang Deng, Haibo Yuan, Jiayi Zhu, Yanqin Yang, Yongwen Jiang
{"title":"采用GC- e - nose、GC- o - ms和GC × GC- tofms结合化学计量学对栀子茶香气特征进行表征","authors":"Jialing Xie, Qiwei Wang, Hongchun Cui, Lilei Wang, Yuliang Deng, Haibo Yuan, Jiayi Zhu, Yanqin Yang, Yongwen Jiang","doi":"10.48130/bpr-0023-0034","DOIUrl":null,"url":null,"abstract":"Gardenia tea (GET) is one of the typical representatives of Chinese scented tea and is loved by consumers for its pleasant aroma. In the study, the volatile profiles of GET were characterized by gas chromatography electronic nose (GC-E-Nose), comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) and gas chromatography-olfactory-mass spectrometry (GC-O-MS) combined with chemometrics. Satisfactory discrimination was obtained by GC-E-Nose combined with principal component analysis, with the cumulative contribution rate reaching 86.74%. A total of 202 volatile compounds were identified in GET by GC × GC-TOFMS, among which esters, alkenes and alcohols were the dominant volatile components. Moreover, 24 key odorants were screened out from GET based on odor activity value ≥ 1 and GC-O-MS results. The aroma wheel of GET with six attributes of \"fruity\", \"green\", \"floral\", \"other\", \"woody\", and \"roasted\" was constructed to visualize the contributions of those key volatile compounds. The results provide a new strategy to elucidate the volatile profiles and aroma wheel of scented tea.","PeriodicalId":223765,"journal":{"name":"Beverage Plant Research","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of Gardenia tea based on aroma profiles using GC-E-Nose, GC-O-MS and GC × GC-TOFMS combined with chemometrics\",\"authors\":\"Jialing Xie, Qiwei Wang, Hongchun Cui, Lilei Wang, Yuliang Deng, Haibo Yuan, Jiayi Zhu, Yanqin Yang, Yongwen Jiang\",\"doi\":\"10.48130/bpr-0023-0034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gardenia tea (GET) is one of the typical representatives of Chinese scented tea and is loved by consumers for its pleasant aroma. In the study, the volatile profiles of GET were characterized by gas chromatography electronic nose (GC-E-Nose), comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) and gas chromatography-olfactory-mass spectrometry (GC-O-MS) combined with chemometrics. Satisfactory discrimination was obtained by GC-E-Nose combined with principal component analysis, with the cumulative contribution rate reaching 86.74%. A total of 202 volatile compounds were identified in GET by GC × GC-TOFMS, among which esters, alkenes and alcohols were the dominant volatile components. Moreover, 24 key odorants were screened out from GET based on odor activity value ≥ 1 and GC-O-MS results. The aroma wheel of GET with six attributes of \\\"fruity\\\", \\\"green\\\", \\\"floral\\\", \\\"other\\\", \\\"woody\\\", and \\\"roasted\\\" was constructed to visualize the contributions of those key volatile compounds. The results provide a new strategy to elucidate the volatile profiles and aroma wheel of scented tea.\",\"PeriodicalId\":223765,\"journal\":{\"name\":\"Beverage Plant Research\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Beverage Plant Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48130/bpr-0023-0034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Beverage Plant Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48130/bpr-0023-0034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

栀子花茶(GET)是中国花茶的典型代表之一,以其宜人的香气深受消费者的喜爱。本研究采用气相色谱电子鼻(GC- e- nose)、综合二维气相色谱-飞行时间质谱(GC × GC- tofms)和气相色谱-嗅觉-质谱(GC- o- ms)结合化学计量学对GET的挥发谱进行了表征。GC-E-Nose结合主成分分析获得了满意的鉴别结果,累计贡献率达86.74%。GC × GC- tofms共鉴定出202种挥发性化合物,其中酯类、烯烃类和醇类为主要挥发性成分。此外,根据气味活性值≥1和GC-O-MS结果,从GET中筛选出24种关键气味剂。构建具有“果味”、“绿色”、“花香”、“其他”、“木质”和“烘烤”六个属性的GET香气轮,以可视化这些关键挥发性化合物的贡献。研究结果为花茶的挥发性成分和香气轮的研究提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Gardenia tea based on aroma profiles using GC-E-Nose, GC-O-MS and GC × GC-TOFMS combined with chemometrics
Gardenia tea (GET) is one of the typical representatives of Chinese scented tea and is loved by consumers for its pleasant aroma. In the study, the volatile profiles of GET were characterized by gas chromatography electronic nose (GC-E-Nose), comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) and gas chromatography-olfactory-mass spectrometry (GC-O-MS) combined with chemometrics. Satisfactory discrimination was obtained by GC-E-Nose combined with principal component analysis, with the cumulative contribution rate reaching 86.74%. A total of 202 volatile compounds were identified in GET by GC × GC-TOFMS, among which esters, alkenes and alcohols were the dominant volatile components. Moreover, 24 key odorants were screened out from GET based on odor activity value ≥ 1 and GC-O-MS results. The aroma wheel of GET with six attributes of "fruity", "green", "floral", "other", "woody", and "roasted" was constructed to visualize the contributions of those key volatile compounds. The results provide a new strategy to elucidate the volatile profiles and aroma wheel of scented tea.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信