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

Authors

YAN Hongfei, Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha, Hunan 410004, China; Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China
PENG Zhengguang, Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China
LI Rongjuan, Donggang Entry-Exit Inspection and Quarantine Bureau, Donggang, Liaoning 118300, China
CHEN Lian, Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha, Hunan 410004, China; Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China
WANGMei Ling, Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha, Hunan 410004, China; Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China
FU Shanliang, Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha, Hunan 410004, China; Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China
DAI Hua, Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha, Hunan 410004, China
ZHANG Fan, Hunan Academy of Science and Technology for Inspection and Quarantine, Changsha, Hunan 410004, China;Changsha Environmental Protection College, Changsha, Hunan 410004, China

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 GC-TOF MS method combined with chemometrics based on the volatile components in tea could be used to discriminate Anhua dark tea.

Publication Date

8-28-2017

First Page

34

Last Page

37,65

DOI

10.13652/j.issn.1003-5788.2017.08.009

Recommended Citation

Hongfei, YAN; Zhengguang, PENG; Rongjuan, LI; Lian, CHEN; Ling, WANGMei; Shanliang, FU; Hua, DAI; and Fan, ZHANG (2017) "Discrimination of Anhua dark tea by gas chromatography-time of flight mass spectrometry combined with chemometrics," Food and Machinery: Vol. 33: Iss. 8, Article 9.
DOI: 10.13652/j.issn.1003-5788.2017.08.009
Available at: https://www.ifoodmm.cn/journal/vol33/iss8/9

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