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Method for differentiating tea with same type and different producing areas

A type of origin and type of technology, applied in the direction of material separation, analysis of materials, measuring devices, etc.

Inactive Publication Date: 2019-01-08
云南清莲生物科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few reports on the method of using the aroma component information of tea leaves combined with chemometric methods (CA and PCA) to distinguish the same type of tea from different origins.

Method used

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  • Method for differentiating tea with same type and different producing areas
  • Method for differentiating tea with same type and different producing areas
  • Method for differentiating tea with same type and different producing areas

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Embodiment 1: a kind of method utilizing full-automatic headspace solid-phase microextraction to combine gas chromatography mass spectrometry and chemometric method to distinguish Yunnan green tea and green tea from other provinces, concrete steps are as follows:

[0046] (1) Material preparation: 19 green tea samples from Yunnan came from different production areas in Yunnan, numbered Y1-1Y19. The other 30 green teas come from other provinces, namely Zhejiang, Sichuan, Anhui, Henan, Hubei and Jiangsu, numbered C1-C30, and the production years of all the teas are the same.

[0047] (2) Sample preparation: The PDMS / DVB / CAR extraction fiber head was aged at 250°C for 60 min at the GC inlet. Accurately weigh 2g of tea powder for each tea sample, put it into a 20mL headspace bottle, add 5mL of boiling distilled water for brewing, immediately seal the bottle mouth, and brew for 2 minutes. Then place it in a headspace incubator with a rotation speed of 250r / min. After equili...

Embodiment 2

[0050] Embodiment 2: A kind of method (all belonging to dark tea category) that utilizes full-automatic headspace solid-phase microextraction to combine gas chromatography mass spectrometry and chemometric method to distinguish Hunan Anhua black tea and Guangxi Liubao tea, concrete steps are as follows:

[0051] (1) Material preparation: 3 Anhua dark tea samples were from Anhua County, Hunan Province, numbered D1-D3. In addition, 2 Liubao teas come from Guangxi, numbered E1-E2, and all teas are from the same production year.

[0052] (2) Sample preparation: The PDMS / DVB / CAR extraction fiber head was aged at 250°C for 60 min at the GC inlet. Accurately weigh 2g of tea powder for each tea sample, put it into a 20mL headspace bottle, add 5mL of boiling distilled water for brewing, immediately seal the bottle mouth, and brew for 2 minutes. Then place it in a headspace incubator with a rotation speed of 250r / min. After equilibrating at 80°C for 10 minutes, the autosampler inserts ...

Embodiment 3

[0055] Embodiment 3: a kind of method that utilizes full-automatic headspace solid-phase microextraction to combine gas chromatography mass spectrometry and chemometrics method to distinguish two kinds of most typical producing area dark teas, concrete steps are as follows:

[0056] (1) Material preparation: 18 pieces of Yunnan Pu’er tea are from different Pu’er tea production areas, numbered A1-A18; 14 pieces of Hunan dark tea are purchased from the tea market in Anhua County, Hunan Province, numbered B1-B14, all the tea leaves All produced in the same year.

[0057] (2) Sample preparation: The PDMS / DVB / CAR extraction fiber head was aged at 250°C for 60 min at the GC inlet. Accurately weigh 2g of tea powder for each tea sample, put it into a 20mL headspace bottle, add 5mL of boiling distilled water for brewing, immediately seal the bottle mouth, and brew for 2 minutes. Then place it in a headspace incubator with a rotation speed of 250r / min. After equilibrating at 80°C for 1...

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Abstract

The invention discloses a method for differentiating tea with the same type and different producing areas. Fragrance components in tea are extracted by a fully-automatic headspace solid-phase microextraction (HS-SPME) method, the fragrance components of the tea are separated and identified by combining gas chromatography-mass spectrometry (GC-MS), and a clustering and main component model is constructed by utilizing the relative content of the identified fragrance components of the tea and combining a chemometrics method (CA and PCA), so that the tea with the same type and different producingareas can be differentiated. The invention provides a new effective evaluation and control method for examining and identifying the quality of the tea (particularly producing area judgment based on the fragrance components). The method is simple and practical to operate, low in cost and environmentally friendly; and an efficient, objective and normalized method can be provided for performing quality evaluation and control on the tea.

Description

technical field [0001] The invention belongs to the technical field of tea, and specifically relates to a method for distinguishing the same type of tea from different origins by using full-automatic headspace solid-phase microextraction combined with gas chromatography mass spectrometry and chemometrics methods. Background technique [0002] Tea is one of the most popular beverages in the world, consumed by more than 2 / 3 of the people worldwide. Consumers' preference for tea mainly depends on the quality and taste of tea. The quality of tea generally refers to the color, aroma, taste, shape and leaf bottom of tea. Tea is a beverage. As far as drinking needs are concerned, the aroma and taste of tea soup are the core of tea quality. Among them, aroma is a very important factor for the quality of tea, and it is also the most important factor for capturing and cultivating consumer loyalty. , is an important factor in determining the price of tea. In addition, the complex ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02
CPCG01N30/02
Inventor 孟庆雄
Owner 云南清莲生物科技有限公司
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