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Keemun black tea producing area identification method based on Raman spectrum fingerprint technology

A technology of Raman spectroscopy and Keemun black tea, applied in the field of identification of agricultural products and food origin, to achieve the effect of strong Raman signal, simple pre-processing and short operation time

Pending Publication Date: 2022-08-02
ANHUI AGRICULTURAL UNIVERSITY
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] However, due to different detection objects, there are great differences in their structure, performance, and specific parameters of Raman detection. How to establish a method for identifying the origin of Keemun black tea based on Raman spectral fingerprints and chemometrics is an urgent task. problem to be solved

Method used

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  • Keemun black tea producing area identification method based on Raman spectrum fingerprint technology
  • Keemun black tea producing area identification method based on Raman spectrum fingerprint technology
  • Keemun black tea producing area identification method based on Raman spectrum fingerprint technology

Examples

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preparation example Construction

[0045] The preparation method of the nano silver sol adopted in the embodiment is:

[0046]Accurately weigh 90 mg of silver nitrate and dissolve it in 500 mL of ultrapure water, heat it to 90°C, add 10 mL of 1% trisodium citrate aqueous solution dropwise, and stir for 60 min to obtain yellow-green silver glue, centrifuge at 10 000 rpm for 10 min, discard The supernatant liquid was obtained to obtain the nano-silver sol.

[0047] The Raman spectrometer used in the examples is HR Evolution ultra-fast imaging laser Raman spectrometer (HORIBA, France).

[0048] The stoichiometric linear discriminant analysis (LDA) reference (MA G, ZHANG J, ZHANG L, et al. Elements characterization of Chinesetea with different fermentation degrees and its use for geographical origins by liner discriminant analysis) used in the examples [J]. Journal of Food Composition and Analysis, 2019, 82); K-Nearest Neighbor (KNN) References (PENG C Y, ZHANG Y L, SONG W, et al. Using stable isotope signatures t...

Embodiment 1

[0050] A method for detecting the Raman spectrum of tea, comprising the steps of:

[0051] (1) Preparation of black tea soup:

[0052] Weigh 0.5 g of black tea powder (60 mesh) from Guichi, Dongzhi and Qimen, add 15 mL of boiling water, heat in a 100°C water bath for 10 min, and cool to obtain black tea soup;

[0053] (2) Collection of Raman spectra:

[0054] Mix the black tea soup of step (1) and the nano silver sol uniformly according to the volume ratio of 1:1, dry, and place at 400-1600cm -1 Raman detection was performed within the range of the Raman detection parameters: excitation wavelength was 785 nm, laser power was 25 mW, exposure time was 10 s, and each sample point was collected twice to obtain the Raman spectrum.

Embodiment 2

[0081] A method for identifying the origin of Qimen black tea based on Raman spectral fingerprint technology, comprising the following steps:

[0082] (1) Preparation of black tea soup:

[0083] Collect 56 pieces of Qimen black tea from the core production area (Qimen County), 6 pieces of Qimen black tea from the traditional production area of ​​Dongzhi County, and 10 pieces of Qimen black tea from Guichi County as samples;

[0084] The black tea powder tea powder (60 mesh) and 15 mL of boiling water from different origins were heated in a water bath at 100 ° C for 10 min, cooled, and the supernatant was taken to obtain black tea tea soup;

[0085] (2) Collection of Raman spectra:

[0086] Mix the black tea soup of step (1) and the nano-silver sol uniformly according to the volume ratio of 1:1, air-dry naturally, at 400-1600cm -1 Raman detection is carried out within the range, each sample is measured 20 times, the abnormal spectral data is excluded, and the average value is...

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Abstract

The invention discloses a Keemun black tea producing area identification method based on a Raman spectrum fingerprint technology, and belongs to the technical field of agricultural product and food producing area identification. The method for identifying the producing area of the Keemun black tea comprises the following steps: (1) preparing black tea soup; (2) uniformly mixing the black tea soup and the nano-silver sol, drying, and carrying out Raman detection to obtain original Raman spectrum data of the black tea powder; calculating the relative peak intensity; (3) respectively combining the relative peak intensity with stoichiometric method linear discriminant analysis, a K-nearest neighbor method and a random forest method to construct a discriminant model; (4) collecting Raman spectrum data of a to-be-detected sample according to the steps (1) and (2), and calculating to obtain relative peak intensity; and predicting the category of the sample by using the discrimination model in the step (3), and determining the production place of the to-be-detected sample. The discrimination model constructed by the method is high in overall correct recognition rate, and can effectively recognize and classify the Keemun black tea in small-producing areas and the Keemun black tea in large-producing areas.

Description

technical field [0001] The invention relates to a method for identifying the origin of Qimen black tea based on the Raman spectrum fingerprint technology, and belongs to the technical field of identifying the origin of agricultural products and food. Background technique [0002] Qimen black tea is one of the three high-scented black teas in the world. It has the characteristics of "colorful color, beautiful shape, high aroma and mellow taste". The traditional production area of ​​Qimen black tea covers not only the administrative area under the jurisdiction of Qimen County, but also Guichi, Dongzhi, Huangshan Yixian and other places. It is generally considered that Qimen County is the core production area of ​​Qimen black tea. . Tea is a kind of agricultural product with geographical features, which has the quality and price attributes of a specific area; moreover, the consumption experience brought to consumers by agricultural products from different origins is quite diff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65G01N21/01G01N1/28
CPCG01N21/658G01N21/01G01N1/28G01N2021/0112
Inventor 彭传燚任印锋叶志豪蔡荟梅侯如燕李大祥
Owner ANHUI AGRICULTURAL UNIVERSITY
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