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Method for recognizing process raw material varieties of product tea

A technology for processing raw materials and identification methods, which is applied to the preparation of test samples, material analysis, and material analysis through optical means. It can solve the problems of difficult identification of common varieties and new varieties, and achieve enhanced protection, standardized use, and The effect of equity

Inactive Publication Date: 2008-11-12
TEA RES INST CHINESE ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the existence of this situation, there are some operators who mix common varieties of tea with some special varieties or new varieties of tea and sell them in order to obtain higher profits. However, due to the same processing technology, it is often difficult to mix common varieties and new varieties. Identification, which has a negative impact on the development of new or rare varieties. Therefore, in order to solve this problem, it is necessary to have an identification method for finished tea processed from special varieties or new varieties as raw materials, so as to realize the identification of new and rare varieties. protection of

Method used

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  • Method for recognizing process raw material varieties of product tea

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0014] The identification model of Longjing 43 varieties established was used to identify 11 finished teas made of Longjing 43 as raw materials outside the calibration sample. The specific results are described as follows:

[0015] 1. Pretreatment of samples

[0016] The sample is pulverized. The specific process is: weigh about 20g of tea sample, put it into a traditional Chinese medicine pulverizer (about 20000r / min) and pulverize it for about 30s, then pass the pulverized powder through a 40-mesh sieve, and then accurately weigh it. Take 10g as the near-infrared analysis material.

[0017] 2. Acquisition of sample spectra

[0018] The near-infrared spectrum of the pulverized sample was collected on an IFS 28 / N (Bruker, Germany) near-infrared spectrometer, and the random software was: Opus Quant 2, and its absorption spectrum was collected in mode. The spectrum is the average of 64 scans, and the scan area is 10000-3500cm-1. The interval of data points is 3.857cm-1, so th...

Embodiment 2

[0026] The established Longjing 43 variety recognition model was used to identify the finished tea made from 20 other varieties (non-Longjing 43) other than the calibration sample, and the specific results are described as follows:

[0027] 1. Pretreatment of samples

[0028] The sample is pulverized. The specific process is: weigh about 20g of tea sample, put it into a traditional Chinese medicine pulverizer (about 20000r / min) and pulverize it for about 30s, then pass the pulverized powder through a 40-mesh sieve, and then accurately weigh it. Take 10g as the near-infrared analysis material.

[0029] 2. Acquisition of sample spectra

[0030] The near-infrared spectrum of the pulverized sample was collected on an IFS 28 / N (Bruker, Germany) near-infrared spectrometer, and the random software was: Opus Quant 2, and its absorption spectrum was collected in mode. The spectrum is the average of 64 scans, and the scan area is 10000-3500cm-1. The interval of data points is 3.857cm...

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Abstract

The present invention provides a method for identifying raw materials of finished tea products, which comprises: crushing and sieving tea samples, and collecting the data on an IFS 28 / N near infrared spectrograph at a room temperature controlled within 20-25 DEG C; establishing the dependent variable 'Y' and independent variable 'X' of genuine and fake samples of the tea; choosing the samples randomly as a training set; utilizing a cross validation method and the original light spectrum to establish an evaluation model for the tea with PLS method, and then making a judgment with '0' as the median value. The present invention establishes a method for identifying tea products that are made of special species of raw materials, overcomes the challenge of discriminating tea products made of special species or new species of raw materials, and is favorable for enhancing protection of new species and rare species of tea, helpful for enhancing protection of registrants and producers of special and rare species and new species of tea, regulating the use of special identification of new species of tea in the market, and promoting the development of new species of tea.

Description

technical field [0001] The invention belongs to a method for identifying tea raw material varieties, and mainly relates to the identification of tea made from special rare varieties or new varieties as raw materials, and specifically uses near-infrared combined with PLS technology to identify the tea-making raw material varieties of finished tea. Background technique [0002] Since my country launched the "Regulations on the Protection of New Varieties of Plants" in 1999, concepts such as "Protection of New Varieties of Plants" and "Strategy of Variety Rights" have gradually gained popularity. At the initial stage of the release of the "Regulations on the Protection of New Varieties of Plants" and its "Implementation Rules", many production and business units have not yet realized that the behavior of producing and selling authorized varieties for commercial purposes without our company's permission has violated national regulations; In addition, a small group of people turn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35G01N1/28G01N21/3563G01N21/359
Inventor 成浩周健王丽鸳刘栩
Owner TEA RES INST CHINESE ACAD OF AGRI SCI
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