Method for predicting the content of scopoletin in wolfberry based on hyperspectral imaging technology

Abstract

The invention discloses a method for predicting scopoletincontent of barbary wolfberry fruit based on a hyperspectral imaging technology. The method comprises the following steps: 1) performing spectrum scanning on a sample with a high-spectrum imaging system, and collecting high-spectrum data of 400 to 1000 nm and 1000 to 2400 nm; 2) performing RAD (Radiometric calibration) on the original high-spectrum data in sequence, converting the high-spectrum data into relative reflection rate data by adopting a flat field processing method, processing the relative reflection rate data with a multiplicative scatter correction method, and performing principal component analysis dimensionality reduction; performing principal component analysis on effective wave bands to obtain main spectrum information; 3) modeling the main spectrum information and scopoletin content with principal component regression to obtain a prediction model of the scopoletin content of barbary wolfberry fruit; 4) processing the sample to be tested according to the steps 1) and 2), inputting the obtained main spectrum information into the prediction model, and calculating the scopoletin content of the sample to be tested.

Description

technical field [0001] The invention belongs to the field of quality identification of traditional Chinese medicinal materials, and in particular relates to a method for predicting the content of scopoletin in wolfberry fruit based on hyperspectral imaging technology. Background technique [0002] Lycium barbarum resources are widely distributed in my country and there are many varieties. According to the description of "Flora of China", there are 7 species and 3 varieties of Lycium barbarum in my country. They are native to northern my country, such as northern Hebei, Inner Mongolia, northern Shanxi, northern Shaanxi, Gansu, Ningxia, and Qinghai. , Xinjiang has wild, because the fruit is used as medicine and gradually practice cultivation, now mostly based on cultivation. After many researches, Ningxia has been positioned as the authentic production area of ​​medicinal wolfberry. However, due to the rich variety, many production areas, and the influence of many environmenta...

AI Technical Summary

Problems solved by technology

The empirical identification error is relatively large, the subjectivity is strong, and the operation method of chemical inspection is complicated, time-consuming and laborious

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