Intelligent identification method for producing area of Wuyi rock tea based on multiple inspection techniques

A technology of origin and rock tea, applied in measuring devices, material analysis by optical means, instruments, etc., can solve the problem that the detection data cannot represent the key information of origin traceability and so on.

Inactive Publication Date: 2017-04-12
CHINA JILIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0014] The purpose of the present invention is to solve the problem that a single detection data cannot represent all the key information of origin traceability and the defects of traditional metrology methods, and provide an intelligent identification method for Wuyi rock tea origin based on multiple inspection techniques, combined with near-infrared spectroscopy, stable isotope , trace elements, amino acids, catechins, and electronic tongue data to establish the Wuyi rock tea origin identification model technology method, which is based on the partial least squares ) near-infrared characteristic spectrum data, stable isotope data, trace element data, amino acid, catechin and electronic tongue data are fused together to establish an analysis model, and the model is used to objectively and accurately determine the origin of rock tea after extracting samples

Method used

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  • Intelligent identification method for producing area of Wuyi rock tea based on multiple inspection techniques
  • Intelligent identification method for producing area of Wuyi rock tea based on multiple inspection techniques
  • Intelligent identification method for producing area of Wuyi rock tea based on multiple inspection techniques

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Embodiment 1

[0088] A. Collect rock tea samples from different origins

[0089] The national standard (GB / T 18745-2006) stipulates the scope of geographical protection of Wuyi rock tea, that is, within the administrative division of Wuyishan City, Fujian Province, the present invention is located in Wuyi Street, Chong'an Street, Shangmei, and Xingxia in the Wuyi Rock Tea Geographical Indication Protection Area. Samples were collected in 11 administrative areas including Village, Wufu, Langu, Xinfeng Street, Yangzhuang, Xingtian, Xiamei, and Wutun, and 3 sampling points were randomly selected in each administrative area (respectively A, B, C marked), a total of 33 sampling points, the sampling range basically covers the main production areas, each sampling point sampling 15 copies (respectively marked with A-1, A-2...A-15), obtained 495 Wuyi rock tea samples from the Geographical Indication Protection Area, and other counties and cities in Fujian Province except Wuyishan City (Jianyang, Jia...

Embodiment 2

[0166] Adopt the modeling method identical with embodiment 1, data segmentation uses Kenstone segmentation program, with K-fold interactive verification, respectively establishes PLSDA, neural network ELM and least squares support vector machine LS-SVM model, near-infrared data is constant, Stable isotopes, trace elements, amino acids, catechins, and e-tongues are classified according to hydrogen, oxygen, nitrogen, carbon, strontium, Cs, Cu, Ca, Rb, Sr, Ba, asparagine, proline, tryptophan, Phosphoethanolamine, urea, valine, EGC, C, EGCG, GA, EC, ECG, caffeine, ZZ, BA, BB, CA, GA, HA, and JB were stitched together in near-infrared data, and their model recognition rates were 89.5% %, 83.2%, 87.7%.

Embodiment 3

[0168] Adopt the modeling method identical with embodiment 1, data segmentation uses Kenstone segmentation program, with K-fold interactive verification, respectively establishes PLSDA, neural network ELM and least squares support vector machine LS-SVM model, near-infrared data is constant, Stable isotopes, trace elements, amino acids, catechins, and e-tongues are classified according to hydrogen, oxygen, nitrogen, carbon, strontium, Cs, Cu, Ca, Rb, Sr, Ba, asparagine, proline, tryptophan, The model recognition rates of phosphoethanolamine, urea, valine, EGC, C, EGCG, GA, EC, ZZ, BA, BB, CA, GA, HA, and JB were 90.1% and 83.8% respectively after splicing the near-infrared data , 88.9%.

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Abstract

The invention relates to an intelligent identification method for the producing area of Wuyi rock tea based on multiple inspection techniques, belonging to the technical field of identification of the authenticity of products of geographical indication. The objective of the invention is to overcome the problems that single detection data cannot represent all the key information in tracing of the producing area and that data matching is hard to realize for combined usage of detection data of different types in metrological method and other problems in the prior art. According to the invention, near-infrared characteristic spectroscopic data, stable isotope mass spectrometric data, trace element data, amino acid data, catechin data and electronic tongue data of rock tea from different producing areas (including rock tea from and not from a geographically indicated producing area) are fused together for modeling analysis on the basis of a partial least squares discrimination model, and the model is used for objectively and accurately determining the producing area of an extracted sample; the intelligent identification method has the highest identification rate, as high as 100.0% and higher than the PLSDA determination results of single data; and the intelligent identification method has a blind sample identification rate of 100%, so the method has good application prospects and is applicable as a technical identification method for tracing the producing area of the Wuyi rock tea.

Description

[0001] (1) Technical field [0002] The invention relates to an intelligent identification method for the origin of Wuyi rock tea based on various inspection technologies, that is, a method for identifying the origin of Wuyi rock tea by combining near-infrared spectroscopy, stable isotopes, trace elements, amino acids, catechins, and electronic tongue data, which belongs to geographical indication products Authenticity identification technology field. [0003] (2) Background technology [0004] According to the definition of GB / T 17924-2008, a geographical indication product refers to the use of raw materials produced in a specific region and produced in a specific region according to traditional techniques. The quality, characteristics or reputation are essentially determined by the geographical characteristics of the region of origin , and products named after the name of the region of origin have been reviewed and approved according to legal procedures. Tea is a typical pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563G01N27/62G01N21/31G01N30/02G01N27/00
CPCG01N21/3103G01N21/3563G01N21/359G01N27/00G01N27/62G01N30/02
Inventor 叶子弘楼云霄付贤树俞晓平崔海峰张雅芬
Owner CHINA JILIANG UNIV
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