NDLI: Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Lin, Jie Dai, Yi Guo, Ya-nan Xu, Hai-rong Wang, Xiao-chang
Description	Country affiliation: China Author Affiliation: Lin J ( Institute of Tea Science, Zhejiang University, Hangzhou 310058, China.)
Abstract	This study aimed to analyze the volatile chemical profile of Longjing tea, and further develop a prediction model for aroma quality of Longjing tea based on potent odorants. A total of 21 Longjing samples were analyzed by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Pearson's linear correlation analysis and partial least square (PLS) regression were applied to investigate the relationship between sensory aroma scores and the volatile compounds. Results showed that 60 volatile compounds could be commonly detected in this famous green tea. Terpenes and esters were two major groups characterized, representing 33.89% and 15.53% of the total peak area respectively. Ten compounds were determined to contribute significantly to the perceived aroma quality of Longjing tea, especially linalool (0.701), nonanal (0.738), (Z)-3-hexenyl hexanoate (-0.785), and ß-ionone (-0.763). On the basis of these 10 compounds, a model (correlation coefficient of 89.4% and cross-validated correlation coefficient of 80.4%) was constructed to predict the aroma quality of Longjing tea. Summarily, this study has provided a novel option for quality prediction of green tea based on HS-SPME/GC-MS technique.
File Format	HTM / HTML
ISSN	16731581
e-ISSN	18621783
DOI	10.1631/jzus.B1200086
Journal	Journal of Zhejiang University SCIENCE B
Issue Number	12
Volume Number	13
Language	English
Publisher	Springer
Publisher Date	2012-12-01
Publisher Place	China
Access Restriction	Open
Subject Keyword	Discipline Biomedicine Discipline Biotechnology Camellia Sinensis Chemistry Food Analysis Gas Chromatography-mass Spectrometry Solid Phase Microextraction Volatile Organic Compounds
Content Type	Text
Resource Type	Article
Subject	Veterinary Medicine Biochemistry, Genetics and Molecular Biology Pharmacology, Toxicology and Pharmaceutics

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