Building method for rhubarb medicinal material trueness/falseness and species prediction model

Abstract

The invention provides a building method for a rhubarb medicinal material trueness / falseness and species prediction model. According to the model, category identification of quality rhubarb, fake rhubarb and three rhubarb species is realized on the basis of a gas chromatography-mass spectrum technology in combination with partial least square discriminant analysis. The building method comprises the following steps: (1) collecting samples; (2) preparing the samples; (3) acquiring GC-MS data; (4) performing data processing and multivariate analysis, wherein cluster analysis and principal component analysis are performed by comparing the differences of chromatographic behaviors of rhubarb of different sources; (5) building the prediction model; and (6) verifying the model. Two built category prediction models are proved to have 100 percent identification accuracy and prediction accuracy. Through adoption of the method, trueness / falseness and species identification of rhubarb are realized by modeling, so that a reliable conclusion and high integrity are achieved; the defects of an existing method are overcome; and a more feasible and reliable new thought is provided for the trueness / falseness and species identification of rhubarb medicinal materials and decoction pieces.

Description

technical field [0001] The invention relates to the field of quality control of traditional Chinese medicines, in particular to a method for classifying and identifying rhubarb medicinal materials and decoction pieces from various sources by constructing a category prediction model, which is based on a gas chromatography-mass spectrometry method combined with a partial least squares discriminant analysis method to establish a prediction model to realize Classification and identification of genuine and counterfeit rhubarb and classification and identification of three species of rhubarb recorded in Pharmacopoeia. Background technique [0002] Rhubarb is a commonly used traditional Chinese medicine. It has the effects of purging and attacking stagnation, clearing heat and purging fire, cooling blood and detoxifying, removing blood stasis and dredging menstruation, promoting dampness and reducing jaundice. Rhubarb is a multi-source medicinal material with many varieties. The dr...

AI Technical Summary

Problems solved by technology

In the current standard, rhubarb used in the identification of genuine and counterfeit products uses rhubarb as the detection index, but some studies have pointed out that medicinal rhubarb also contains a certain amount of rhubarb, and this method has been questioned

The identification of the three species of rhubarb usually uses traits and microscopic identification methods, but due to the high similarity of microscopic features and the high requirements for the identification of base sources, the application is difficult, and the identification of commercially available rhubarb decoction pieces is even more difficult

In recent years, there have been many researches on the overall quality evaluation of rhubarb by fingerprint method. Chemometric analysis methods such as similarity analysis, cluster analysis and principal component analysis can distinguish genuine and counterfeit rhubarb to a certain extent. The quality evaluation of raw medicinal materials has certain limitations, and it is impossible to make judgments on medicinal materials of unknown origin, and it is impossible to realize the classification and identification of the three species of rhubarb

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