食品科学 ›› 2023, Vol. 44 ›› Issue (4): 321-328.doi: 10.7506/spkx1002-6630-20211202-019

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基于香气指纹图谱和多元化学计量法对黄金茶2号等级的判别分析

巢瑾,周令欣,银飞燕,罗茜,赵萌萌,袁勇,吴浩人,李跑,蒋立文   

  1. (1.湖南农业大学食品科学技术学院,湖南 长沙 410128;2.国家茶叶加工技术研发分中心,湖南省茶叶种植与加工工程技术研究中心,湖南省茶业集团股份有限公司,湖南 长沙 410126)
  • 发布日期:2023-03-01
  • 基金资助:
    湖南省科技重点研发计划项目(2020NK2026;2021NK2016)

Grade Identification of Huangjincha Tea 2 by Aroma Fingerprinting Combined with Multivariate Chemometric Analysis

CHAO Jin, ZHOU Lingxin, YIN Feiyan, LUO Qian, ZHAO Mengmeng, YUAN Yong, WU Haoren, LI Pao, JIANG Liwen   

  1. (1. College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China;2. National R&D Center for Tea Processing, Hunan Research Center of Tea Plantation and Processing Technology, Hunan Tea Group Co. Ltd., Changsha 410126, China)
  • Published:2023-03-01

摘要: 以黄金茶2号为研究对象,采用顶空固相微萃取-气相色谱-质谱联用技术建立不同等级黄金茶香气成分气相色谱-质谱指纹图谱,并通过化学计量法对两个等级的黄金茶进行判别分析。研究表明,2 个等级的黄金茶中鉴定出81 种香气组分,其中41 种为共有香气组分。基于共有香气组分的正交偏最小二乘判别分析可以区分2 个等级黄金茶,并筛选出9 种差异香气组分,分别是庚醛、柠檬烯、反式-β-罗勒烯、1-辛醇、反式-4,8-二甲基-1,3,7-壬三烯、反-橙花叔醇、1,10-diepicubenol、epicubenol、十六酸甲酯。以9 种差异香气组分为变量建立的线性判别方程对2 个等级的黄金茶进行等级判别,自身验证和交叉验证正确率为100%。本实验结果可为黄金茶的分级提供客观量化的参考依据。

关键词: 黄金茶;顶空固相微萃取;香气指纹图谱;等级判别;化学计量学

Abstract: The aroma components of two grades of Huangjincha tea 2 were investigated by using headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS) to establish their aroma fingerprints. The results were analyzed using chemometrics. Totally 81 aroma components were identified, 41 of which were common to both. Based on these common aroma components, the two grades could be discriminated by orthogonal partial least squares-discrimination analysis (OPLS-DA), and nine differential aroma components between them were identified including heptanal, limonene, trans-β-ocimene, 1-octanol, (E)-4,8-dimethylnona-1,3,7-triene, trans-nerolidol, 1,10-diepicubenol, epicubenol, and methyl hexadecanoate. A linear discriminant model to distinguish the two grades was established using the differential aroma components as independent variables. The self-validation and cross-validation accuracy of this model were 100%. These results may provide an objective and quantitative reference for the classification of Huangjincha 2.

Key words: Huangjingcha tea; headspace solid-phase microextraction; aroma fingerprints; classification discrimination; chemometric analysis

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