Method for identifying tea species and determining contents 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: 2015-09-16
INST OF AGRI ENG TECH FUJIAN ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

There is no classification research method that takes 21 characteristic components, incl

Method used

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  • Method for identifying tea species and determining contents of 21 characteristic components
  • Method for identifying tea species and determining contents of 21 characteristic components
  • Method for identifying tea species and determining contents 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 tea species and determining contents of 21 characteristic components. The method comprises the steps of selecting tea standard samples, measuring the contents of 21 characteristic components in a standard sample, establishing a sample matrix for indexes, calculating the squared euclidean distance between the same kind of tea standard samples by applying a principal component analysis method and a cluster analysis method, selecting the chemical component with maximum weight in the principle component as a distinguishing factor and taking the distinguishing factor as an independent variable so as to obtain the squared euclidean distance of the standard samples, determining the contents of the characteristic components of the distinguishing factors of samples to be determined, respectively calculating the squared Euclidean distance of the samples to be determined and the tea standard samples, and judging the species of the samples to be determined. The method can be used for effectively distinguishing Tie Guanyin and white tea and is objective and reliable for classifying of tea.

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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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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