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A method for identification of tea species and content determination of 21 characteristic components

A tea content technology, applied in the field of analytical chemistry, to improve the separation, save testing time and cost, and benefit the quality control of tea

Active Publication Date: 2017-12-15
INST OF AGRI ENG TECH FUJIAN ACAD OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no classification research method that takes 21 characteristic components, including tea polyphenols, theanine, alkaloids, phenolic acids and flavanols, as indicators.

Method used

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  • A method for identification of tea species and content determination of 21 characteristic components
  • A method for identification of tea species and content determination of 21 characteristic components
  • A method for identification of tea species and content determination of 21 characteristic components

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Embodiment 1

[0030]Weigh 1.0000g of 52 tea samples and pulverize them evenly, or freeze them in liquid nitrogen for 60s, take them out, and smash them quickly. Use 50wt.% ethanol solution for ultrasonic extraction for 20min, add water to 50mL, and centrifuge at 5000rpm / min. The supernatant was filtered through a 0.22 μm organic filter membrane and set aside. The 21 characteristic components are theanine, gallic acid, gallic acid catechin (GC), caffeine, theophylline, epigallocatechin (EGC), catechin (C), chlorogenic acid, cocoa Alkaline, caffeic acid, p-coumaric acid, epicatechin (EC), epigallocatechin gallate (EGCG), gallocatechin gallate (GCG), epicatechin gallate (ECG ), rutin, ferulic acid, sinapinic acid, myricetin, quercetin, kaempferol. The conditions of the high performance liquid chromatography-diode array detector method are as follows: C18 chromatographic column is used, the column temperature is 30°C, and the mixture of acetonitrile and 0.5wt.% formic acid solution is used as ...

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Abstract

The invention discloses a method for identifying the types of tea and measuring the content of 21 characteristic components. A standard sample of tea is selected, and the content of 21 characteristic components in the standard sample is determined as an index to establish a sample matrix, and principal component analysis and cluster analysis are applied. , select the chemical component with the largest weight in the principal components as the distinguishing factor, and use the distinguishing factor as an independent variable to calculate the square Euclidean distance between the standard samples of the same type of tea, obtain the square Euclidean distance range of the standard sample, and then measure the sample to be tested The content of the characteristic components of the distinguishing factor is calculated, and the square Euclidean distance range between them and the tea standard sample is calculated respectively, and the type of the sample to be tested is determined. The invention can effectively distinguish different tea types, especially Tieguanyin and white tea, and provides an objective and reliable method for tea classification.

Description

technical field [0001] The invention belongs to the field of analytical chemistry, and in particular relates to a method for identifying tea types and determining the content of 21 characteristic components. Background technique [0002] Since "Shen Nong tasted all kinds of herbs and got 'tea' to solve them", tea has been considered to have medicinal value. In recent years, a large number of studies at home and abroad have also shown that tea has many unique effects such as anti-cancer, anti-aging, prevention and treatment of cardiovascular and cerebrovascular diseases, improving human immunity and even anti-AIDS. These peculiar effects are the result of the comprehensive action of various active ingredients in tea. The main functional components of tea include polyphenols, alkaloids, theanine, flavonols, phenolic acids, etc. The classification of tea is closely related to its component content, so the tea variety and quality classification can be carried out by detecting ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/02
Inventor 陈源余文权杨道富谢鸿根高慧颖廖素凤
Owner INST OF AGRI ENG TECH FUJIAN ACAD OF AGRI SCI
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