Laser-induced breakdown spectroscopy-based tea classification and identification method

Abstract

The invention discloses a laser-induced breakdown spectroscopy (LIBS)-based tea classification and identification method, and belongs to the field of spectral analysis. The method comprises the following steps: performing preliminary analysis on elementary composition of a tea sample by using an LIBS detection device and selecting the characteristic spectral line of an element with larger content difference as an analysis index; then collecting a plurality of groups of spectrums for each standard tea sample and dividing the spectrum data of each standard tea sample into two parts, wherein one part is used as a training sample to establish a discriminant analysis model, and the other part is used as a test sample for estimating the accuracy of the discriminant model; performing discriminant analysis on to-be-tested tea sample, then adjusting an established classification model, and comparing with the LIBS spectrum data model of each element in an established database to determine the type of to-be-identified tea. The method has the advantages of high discrimination accuracy and simple process, and can provide a reference method for detection of the tea and the type recognition.

Description

Technical field: [0001] The invention belongs to the field of spectral analysis, and in particular relates to a method for detecting and classifying tea leaves by combining laser-induced breakdown spectroscopy with a discriminant analysis method. The method can quickly and accurately identify different types of tea, significantly improve the efficiency of tea component detection, and effectively ensure the quality and safety of tea. Background technique: [0002] Tea originated in China and has been widely spread all over the world. Because tea contains many components that are beneficial to the human body, more and more people in the world like to drink tea, and tea is one of the most popular non-alcoholic beverages at present. In addition, with the take-off of my country's economy, the overall living standards and quality of residents have been greatly improved. Now people pay more and more attention to the quality and safety of food, and tea is no exception. In my count...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the shortcomings of low tea classification detection efficiency, complex detection process and low accuracy at present, the present invention proposes a laser-induced breakdown spectroscopy tea type identification method based on discriminant analysis method, which combines laser-induced breakdown spectroscopy technology with discriminant analysis method Classification and detection of different types of tea

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