| abstract |
The invention discloses a rapid detection method applied to authentic Chinese medicine cocklebur and counterfeit cocklebur with highly similar properties. The near-infrared spectrum of the sample is collected, the sample spectrum is scanned, and the spectral data is preprocessed by first-order derivation, vector normalization, filtering and smoothing, etc., to extract the principal component information that represents the sample to the greatest extent, and the GBDT algorithm is used to construct a rapid analysis Prediction model of genuine cocklebur, adulterated Mongolian cocklebur, and adulterated partial base cocklebur. The detection method does not need to use a lot of reagents, is environmentally friendly, easy to operate, has good reproducibility, and has stable and accurate results. When the sample volume of Xanthium is large, it can realize rapid online detection and real-time evaluation feedback, which is beneficial to the production and processing of Xanthium Realize rapid monitoring and evaluation of Xanthium quality in the whole process of production, circulation and consumption. |