Construction of Fingerprint of Dancong Tea Using HS-SPME/GC-MS

LU Danmin; TANG Junwei; ZHANG Tiantian; OU Yangjian; YE Hanzhong; LIN Zhentian; LIU Zhonghua; HUANG Jianan

doi:10.13386/j.issn1002-0306.2020120165

Volume 42 Issue 21

Oct. 2021

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Science and Technology of Food Industry > 2021 > 42(21): 241-248. > DOI: 10.13386/j.issn1002-0306.2020120165

LU Danmin, TANG Junwei, ZHANG Tiantian, et al. Construction of Fingerprint of Dancong Tea Using HS-SPME/GC-MS[J]. Science and Technology of Food Industry, 2021, 42(21): 241−248. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020120165.

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Construction of Fingerprint of Dancong Tea Using HS-SPME/GC-MS

LU Danmin^{1, 2, 3,},
TANG Junwei¹,
ZHANG Tiantian^{1, 2, 3},
OU Yangjian^{1, 2, 3},
YE Hanzhong^{4, 5},
LIN Zhentian^{4, 5},
LIU Zhonghua^{1, 2, 3, ,},
HUANG Jianan^{1, 2, 3, ,}

1.
Key Laboratory of Tea Science, Ministry of Education, Hunan Agricultural University, Changsha 410128, China
2.
National Research Center of Engineering Technology for Botanical Functional Ingredients, Changsha 410128, China
3.
Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Changsha 410128, China
4.
Song Huang Ecological Tea Industry Co., Ltd., Chaozhou 521000, China
5.
Chaozhou Tianyu Tea Industry Co., Ltd., Chaozhou 521000, China

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Received Date: December 17, 2020
Available Online: August 25, 2021

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Abstract

Abstract

The extraction conditions for volatile compounds of Dancong tea by headspace solid phase micro-extraction, including the extraction time, the temperature and the ratio of tea and water, were optimized. Each sample was detected and analyzed by gas chromatography-mass spectrometry （GC-MS） to establish the volatile substance fingerprint of Dancong tea. The results showed that the optimal extraction conditions were 0.75:5 g/mL tea-water ratio, and extraction was performed at 90 ℃ for 50 min. The volatile substances fingerprints of Dancong tea identified 20 common peaks and the similarity was above 0.9. The discriminant model had good accuracy for the classification of Dancong tea in different regions. The accuracy rate of its own verification method and the interactive verification method were 100% while the external verification method was 80%. The results can provide experimental basis for the headspace solid phase microextraction of Dancong tea and provide a theoretical reference for the identification of Dancong tea.

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