West Lake Longjing traceability technology based on a new retail mode

A model and technology, applied in the field of authenticity identification of geographical indication products, can solve the problems of small number of samples, unable to guarantee the accuracy and representativeness of samples, and large span of sample space selection, so as to achieve the effect of recovering losses.

Pending Publication Date: 2021-09-07
浙江育英职业技术学院 +1
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AI Technical Summary

Benefits of technology

This patented technology uses partially least square discriminative models that combine various characteristics from infrared spectrometry (IR) spectroscopy with specific chemicals found within certain plants called chlorophyll molecules. These techniques help researchers analyze complex samples more accurately without being affected by factors like weather conditions which affect how long they are kept alive for use during testing time periods. By analyzing these spectral patterns, scientists have been able to determine whether there may exist any plant material associated with LJungu' s roots. Overall, it provides technical benefits such as improved identification accuracy over traditional methods while also allowing users to purchase customized versions at an affordable price range.

Problems solved by technology

This patented technical problem addressed in this patents relates to finding sources of yellowish brown rice or white pink bean among Japanese consumers who use these food items during their consumption cycle. These materials contain iron oxide compounds called Fe2O3. However, they may vary greatly depending upon factors like environmental conditions and consumer preferences. To address this issue, an improved technique involving infrared absorption spectroscopic measurement techniques including Fourier transformation ionization mass spectratures and Raman scattering measurements is proposed.

Method used

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  • West Lake Longjing traceability technology based on a new retail mode
  • West Lake Longjing traceability technology based on a new retail mode
  • West Lake Longjing traceability technology based on a new retail mode

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Embodiment Construction

[0105] A West Lake Longjing traceability technology based on the new retail model, including the following steps:

[0106] (A) Longjing samples collected from different origins:

[0107] The number of samples outside the West Lake Longjing production area is >100, and the proportion of samples within 50 kilometers around the production area is >50%; the number of samples in the West Lake Longjing production area is 2 to 3 times that of samples outside the production area, and the sampling range covers the main production areas Each production enterprise, and each enterprise should have no less than 3 samples;

[0108] (B) Determination of near-infrared characteristic spectral data of Longjing samples from different origins:

[0109] Place the tea sample on the auxiliary feeding device, use the near-infrared spectrometer to scan 64 times, and take the average value of the characteristic spectral bands, and the scanning range is 12000-4000cm- 1 , the data points are spaced at 1.9

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Abstract

The invention discloses a West Lake Longjing traceability technology based on a new retail mode, belongs to the technical field of geographical indication product authenticity identification, and aims to solve the problems that single detection data cannot represent all key information of origin traceability and different types of detection data are combined in a metrology method for data matching and the like. According to the method, near-infrared characteristic spectrum, stable isotope, trace element and catechin data of Longjing wells in different producing areas are fused together based on a partial least square discrimination model, an analysis model is established, the Longjing well producing area is objectively and accurately determined by using the model after a sample is extracted, and the identification rate is the highest, reaches 100.0% and is higher than the PLSDA discrimination result of single data; the recognition rate for a blind sample is up to 100%, and the method has a good application prospect, and can be used as a West Lake Longjing production place traceability identification technical method.

Description

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Claims

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Application Information

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Owner 浙江育英职业技术学院
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