Wuyi rock tea production place identification method through combination of four detection technologies

A technology of origin and rock tea, applied in measuring devices, material analysis through optical means, instruments, etc., can solve problems such as inability to represent origin traceability

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

[0012] The purpose of the present invention is to solve the problem that a single detection data cannot represent all the key information of the origin traceability and the joint use of different types of detection data in the metrology method, and to provide the intelligence of the origin of Wuyi rock tea based on multiple inspection technologies. Identification method, combined with near-infrared spectroscopy, stable isotope, trac

Method used

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  • Wuyi rock tea production place identification method through combination of four detection technologies
  • Wuyi rock tea production place identification method through combination of four detection technologies
  • Wuyi rock tea production place identification method through combination of four detection technologies

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Experimental program
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Embodiment 1

[0083] A. Collect rock tea samples from different origins

[0084]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, Jian...

Embodiment 2

[0150] Using the same modeling data as in Example 1, the data segmentation uses the Duplex segmentation program, and uses K-fold interactive verification to establish PLSDA, neural network ELM and least squares support vector machine LS-SVM models respectively, and the near-infrared data is constant. Stable isotopes, trace elements, amino acids according to hydrogen, oxygen, nitrogen, carbon, strontium, Cs, Cu, Ca, Rb, Sr, Ba, asparagine, proline, tryptophan, phosphoethanolamine, urea, valine After splicing the near-infrared data with acid, the model recognition rates were 91.7%, 85.8%, and 82.1%, respectively.

Embodiment 3

[0152] Using the same modeling data as in Example 1, the data segmentation uses the Duplex segmentation program, and uses K-fold interactive verification to establish PLSDA, neural network ELM and least squares support vector machine LS-SVM models respectively, and the near-infrared data is constant. Stable isotopes, trace elements, and amino acids are spliced ​​in the near-infrared data according to hydrogen, oxygen, nitrogen, carbon, strontium, Cs, Cu, Ca, Rb, Sr, Ba, asparagine, proline, tryptophan, and phosphoethanolamine After that, the recognition rates of the models were 95.9%, 86.3%, and 90.1%, respectively.

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Abstract

The invention relates to a Wuyi rock tea production place identification method through combination of four detection technologies, and belongs to the technical field of geographical indication product authenticity recognition. In the prior art, the single detection data cannot represent all production place traceability key information, the data matching problem exists when different types of the detection data are subjected to combined use in the metrology method, and other problems exist. A purpose of the present invention is to solve the problems in the prior art. According to the present invention, based on the partial least square discrimination model, the near infrared characteristic spectrum data, the stable isotope data, the trace element data and the amino acid data of the rock teas (produced inside and outside the geographical indication production place) from different production places are integrally fused, the analysis model is established, the sample is extracted, and the rock tea production place is objectively and accurately determined by using the model, wherein the recognition rate is high, achieves 100.0%, and is higher than the PLSDA determining result of the single data, and the recognition rate of the blind sample achieves 100%; and the method has the good application prospect, and can be used as the Wuyi rock tea production place traceability recognition technical method.

Description

[0001] (1) Technical field [0002] The invention relates to an intelligent identification method for the origin of Wuyi rock tea based on multiple inspection technologies, that is, a method for identifying the origin of Wuyi rock tea by combining near-infrared spectroscopy, stable isotopes, trace elements, and amino acid data, and belongs to the technical field of authenticity identification of geographical indication products. [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 product protected by geogra...

Claims

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Application Information

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IPC IPC(8): G01N21/359G01N21/3563G01N27/62G01N21/31G01N30/02
CPCG01N21/3103G01N21/3563G01N21/359G01N27/62G01N30/02
Inventor 叶子弘付贤树俞晓平崔海峰张雅芬
Owner CHINA JILIANG UNIV
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