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GC-TOF MS结合化学计量学用于安化黑茶的识别

颜鸿飞 彭争光 李蓉娟 陈练 王美玲 付善良 戴华 张帆

食品与机械2017,Vol.33Issue(8):34-37,65,5.
食品与机械2017,Vol.33Issue(8):34-37,65,5.DOI:10.13652/j.issn.1003-5788.2017.08.009

GC-TOF MS结合化学计量学用于安化黑茶的识别

Discrimination of Anhua dark tea by gas chromatography-time of flight mass spectrometry combined with chemometrics

颜鸿飞 1彭争光 2李蓉娟 2陈练 3王美玲 1付善良 2戴华 1张帆2

作者信息

  • 1. 湖南出入境检验检疫局,湖南长沙410004
  • 2. 湖南省检验检疫科学技术研究院,湖南长沙410100
  • 3. 东港出入境检验检疫局,辽宁东港118300
  • 折叠

摘要

Abstract

The volatile components in Anhua and other dark teas were analyzed by headspace solid phase microextraction (HS-SPME) combined with gas chromatography-time of flight mass spectrometry (GC-TOF MS).About 41 volatile compounds were analyzed qualitatively and quantitatively.A classification model and predict the authenticity obtained from variance analysis,principal component analysis (PCA) and partial least squares discriminate analysis (PLSDA).In addition,the 26 compounds significant impacting on the classification were screened out from Anhua dark tea.The straight forward classification trend of Anhua dark tea and other samples was visualized through projection score plots obtained by PCA.Effective classification and identification of Anhua dark tea,other origin dark tea and other kinds were carried out.The 14 important components for classification were found.The results showed that the developed GCTOF MS method combined with chemometrics based on the volatile components in tea could be used to discriminate Anhua dark tea.

关键词

顶空固相微萃取/气相色谱—飞行时间质谱/主成分分析/偏最小二乘判别分析法/安化黑茶/识别

Key words

gas chromatography-time of flight-mass spectrometry (GC-TOF MS)/principal component analysis (PCA)/partial least squares discriminate analysis (PLSDA)/volatile components/Anhua dark tea/discriminate

引用本文复制引用

颜鸿飞,彭争光,李蓉娟,陈练,王美玲,付善良,戴华,张帆..GC-TOF MS结合化学计量学用于安化黑茶的识别[J].食品与机械,2017,33(8):34-37,65,5.

基金项目

湖南省科技计划项目(编号:2015JC328) (编号:2015JC328)

粮油深加工与品质控制湖南省2011协同创新项目资助(编号:湘教通[2013]448号) (编号:湘教通[2013]448号)

食品与机械

OA北大核心CSCDCSTPCD

1003-5788

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