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HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
by
Wang, Peiqiang
, Wang, Baoyi
, Zhang, Xinfu
, Qu, Fengfeng
, Wu, Ying
, Li, Xiaohan
, Liu, Lei
, Wang, Jie
in
Autumn
/ Chemical properties
/ Cluster analysis
/ Food science
/ Gas chromatography
/ gas chromatography–mass spectrometry (GC−MS)
/ Green tea
/ Identification and classification
/ Ionone
/ Latitude
/ Limonene
/ Mass spectrometry
/ Mass spectroscopy
/ Methods
/ Nutritional aspects
/ Octanol
/ Phenylethyl alcohol
/ Principal components analysis
/ Production controls
/ season
/ Seasons
/ Software
/ Solid phase methods
/ Spring
/ Spring (season)
/ Statistical analysis
/ Summer
/ Tea
/ Temperature
/ Volatile compounds
/ Volatile organic compounds
2022
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HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
by
Wang, Peiqiang
, Wang, Baoyi
, Zhang, Xinfu
, Qu, Fengfeng
, Wu, Ying
, Li, Xiaohan
, Liu, Lei
, Wang, Jie
in
Autumn
/ Chemical properties
/ Cluster analysis
/ Food science
/ Gas chromatography
/ gas chromatography–mass spectrometry (GC−MS)
/ Green tea
/ Identification and classification
/ Ionone
/ Latitude
/ Limonene
/ Mass spectrometry
/ Mass spectroscopy
/ Methods
/ Nutritional aspects
/ Octanol
/ Phenylethyl alcohol
/ Principal components analysis
/ Production controls
/ season
/ Seasons
/ Software
/ Solid phase methods
/ Spring
/ Spring (season)
/ Statistical analysis
/ Summer
/ Tea
/ Temperature
/ Volatile compounds
/ Volatile organic compounds
2022
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HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
by
Wang, Peiqiang
, Wang, Baoyi
, Zhang, Xinfu
, Qu, Fengfeng
, Wu, Ying
, Li, Xiaohan
, Liu, Lei
, Wang, Jie
in
Autumn
/ Chemical properties
/ Cluster analysis
/ Food science
/ Gas chromatography
/ gas chromatography–mass spectrometry (GC−MS)
/ Green tea
/ Identification and classification
/ Ionone
/ Latitude
/ Limonene
/ Mass spectrometry
/ Mass spectroscopy
/ Methods
/ Nutritional aspects
/ Octanol
/ Phenylethyl alcohol
/ Principal components analysis
/ Production controls
/ season
/ Seasons
/ Software
/ Solid phase methods
/ Spring
/ Spring (season)
/ Statistical analysis
/ Summer
/ Tea
/ Temperature
/ Volatile compounds
/ Volatile organic compounds
2022
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HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
Journal Article
HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
2022
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Overview
This study investigates the volatile compounds of green tea produced with different leaves from spring, summer, and autumn in high−latitude region. A total of 95 volatile compounds were identified by gas chromatography–mass spectrometry (GC–MS). Spring, summer and autumn green tea contained 68, 72 and 82 volatile compounds, respectively. Principal component analysis (PCA), partial least squares−discrimination analysis (PLS−DA), and hierarchical cluster analysis (HCA) classified the samples and showed the difference. And 32 key characteristic components were screened out based on variable importance in the projection (VIP) values higher than 1.0. The characteristic volatile compounds of spring green tea including 18 components, such as geranylacetone, phenethyl alcohol, geraniol, β−ionone, jasmone, 1−octen−3−ol and longifolene. 13 components such as 2−methylfuran, indole, 1−octanol, D−limonene and ethanethiol were the key compounds in summer green tea. And 2,4,6−trimethylstyrene was the major differential volatile compounds in autumn green tea. The results increase our knowledge of green tea in different seasons and provide a theoretical basis for production control of green tea.
Publisher
MDPI AG,MDPI
Subject
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