Method for quickly identifying storage year of puer tea

Abstract

The invention discloses a method for quickly identifying the storage year of puer tea. The method includes the following steps that original spectrum is collected, specifically, puer tea leaves are ground and pulverized into a puer tea sample, and a near-infrared spectrometer is used for detecting the original spectrum of the sample; the original spectrum is preprocessed, specifically, the original spectrum is preprocessed by using a combination method of first derivative and multivariate scattering correction, and spectral data after preprocessing are divided into a calibration set and a validation set; a discriminant partial least squares model is built, specifically, the spectral data of a calibration set sample are used for establishing the discriminant partial least squares model, andthe spectral data of a validation set sample is used for verifying the validity of the model; and the sample is identified, specifically, near-infrared spectrum collection is carried out on the puertea sample of unknown years to be identified, and after spectral data preprocessing is carried out, a result is imported into the validated discriminant partial least squares model to obtain the storage year of puer tea. The method is simple in operation and high in accuracy of identification results.

Description

technical field [0001] The invention relates to the technical field of tea identification, in particular to a method for quickly identifying the storage year of Pu'er tea. Background technique [0002] Pu'er tea is a unique tea product in Yunnan Province of my country. It is mainly produced in Xishuangbanna, Lincang, Pu'er and other areas in Yunnan Province. It has a unique taste and aroma. According to research and analysis, Pu'er tea has lipid-lowering, antibacterial, antiviral and laxative activities. Its unique advantages in health have been strongly sought after by people and gained a large market space. Its price is higher than most other teas on the market, and the prices of different types of Pu-erh tea vary greatly. The shapes of various types of Pu-erh tea are similar, making it difficult for ordinary consumers to distinguish them. Sensory evaluation and physical and chemical index detection are two important methods for the quality detection of Pu-erh tea. Howev...

AI Technical Summary

Problems solved by technology

[0005] In the existing spectroscopic research on the storage years of Pu-erh tea, some distinguish different years by comparing absorption peaks and absorbance ratios, and cannot distinguish unknown samples.

Some combine chemometric methods for qualitative discrimination, but the correct rate of discrimination is not ideal

There is a lot of useless noise information in the spectral matrix of near-infrared spectroscopy measurement technology, which leads to large errors in the identification results

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