Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for distinguishing production places of flat tea based on stable isotope proportion difference

A technology of stable isotopes and discriminative methods, applied in measuring devices, material analysis through electromagnetic means, instruments, etc., can solve the problems that have not been reported and flat teas are difficult to distinguish with naked eyes

Inactive Publication Date: 2016-06-22
TEA RES INST CHINESE ACAD OF AGRI SCI
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the local government has adopted methods such as protecting the origin of the tea and issuing labels according to the number of producers planted to prevent the occurrence of counterfeit West Lake Longjing tea, the flat tea processed by the same process is difficult to distinguish with the naked eye, and there is still no A very ideal method to identify the authenticity of West Lake Longjing tea
This often brings confusion to consumers. It is of great significance to develop a detection method or model that can identify the authenticity of West Lake Longjing tea to maintain the brand of West Lake Longjing tea and regulate the West Lake Longjing tea market.
In addition, there is no report on the origin identification technology for the main production areas of flat tea in my country

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for distinguishing production places of flat tea based on stable isotope proportion difference
  • Method for distinguishing production places of flat tea based on stable isotope proportion difference
  • Method for distinguishing production places of flat tea based on stable isotope proportion difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] 1. Sample collection

[0022] The samples were taken from Shandong, Sichuan, Zhejiang, and Guizhou provinces, including 35 samples from Hangzhou West Lake Longjing tea production area; 20 samples from Zhejiang Non-West Lake Longjing tea production area; Rizhao flat tea 15pcs. The tea samples were obtained by fixed-point sampling. The picking time of the samples included the early, middle and late periods of spring tea. The picking time of the Rizhao tea area in Shandong was concentrated from April 15 to May 25, and the picking time of other tea areas was concentrated in 4 April 1st to April 25th. When sampling, the 3rd batch (early), the 6th batch (middle), and the 9th batch (late) were selected in each region, and the tea samples were made according to the Longjing tea process; Local representative tea tree varieties were selected: Longjing 43 and local species, and the number of samples of each time period and variety was basically equal.

[0023] Sample pretreatme...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for distinguishing production places of flat tea based on stable isotope proportion difference. The method is characterized by mainly comprising the following steps: (1) collecting samples and establishing a modeling sample set; (2) detecting stable isotopes, wherein determined indexes are 13C / 12C, 15N / 14N, 18O / 16O, D / 1H, 111Cd / 113Cd, 206Pb / 207Pb, 207Pb / 208Pb and 88Sr / 86Sr; (3) carrying out data standard processing and sample assignment to obtain variables Z(C), Z(N), Z(O), Z(D), Z(Cd), Z(206Pb / 207Pb), Z(207Pb / 208Pb) and Z(Sr); (4) establishing a decision-making tree analyzing model; (5) judging unknown samples. With the adoption of the method provided by the invention, the quality safety of tea leaves can be met, and the faking of the tea leaves can be effectively prevented; the production places are distinguished through decision-making tree analysis, the accurate distinguishing rate of a return test reaches 91.35 percent, the accuracy of an external test reaches 92 percent, and the model is reliable.

Description

technical field [0001] The invention belongs to the identification technology of the origin of agricultural products, and in particular relates to a method for discriminating the origin of flat tea based on the difference in the ratio of stable isotopes. Background technique [0002] my country's tea has a profound cultural background, distinct regional characteristics and quality characteristics, and is a typical product protected by geographical indications. West Lake Longjing tea is the first of the top ten famous teas in my country. It has a history of more than 1,200 years. It is produced in West Lake District, Hangzhou, Zhejiang. Signboard, well-known at home and abroad. At the same time, West Lake Longjing tea also brings higher benefits to its operators because of its great reputation and high quality. At the same time, counterfeit Longjing tea also appears. Although the local government has adopted measures such as protecting the origin of the tea and issuing label...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N27/62G01N27/626
CPCG01N27/62
Inventor 石元值王洁马立锋伊晓云张群峰阮建云
Owner TEA RES INST CHINESE ACAD OF AGRI SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products