Method for accurately detecting types and contents of components in Chinese patent medicine in real time

Abstract

The invention relates to the field of Chinese patent medicine component detection, and discloses a method for accurately detecting types and contents of components in a Chinese patent medicine in real time. The method comprises the following steps: firstly, uniformly grinding Chinese patent medicines, carrying out vacuum drying pretreatment and infrared data acquisition, and then carrying out baseline correction and spectrum normalization on infrared spectrum data to generate a linear data processing technology; and carrying out machine learning neural network feature matching by adopting spectral data Fourier transform self-convolution and second-order derivative spectral data and the take-up positions, shapes and strengths of the standard component database in the functional group region and the fingerprint region to obtain the component types in the Chinese patent medicine. And quickly establishing a data model by combining a working curve of a corresponding component standard with a neural network algorithm to obtain a relationship between component mass and absorbance, thereby measuring the content of the types of the components in the Chinese patent medicine. Compared with a high performance liquid chromatography, the method can be used for simultaneously detecting the types and contents of the components in the medicine on line in real time under the condition that the integrity of the sample is not damaged.

Description

technical field [0001] The invention relates to the field of component detection of Chinese patent medicines, in particular to a method for accurately detecting the type and content of ingredients in Chinese patent medicines in real time. Background technique [0002] At present, in the production process of Chinese patent medicines, especially the detection and quantitative analysis of various components in medicines is an indispensable link in industrial production. The lack of qualitative and quantitative analysis of some components in Chinese patent medicines will not be able to scientifically and effectively guarantee the stability of the quality of Chinese medicine products. In the prior art, it is difficult to detect the types of various components contained in different Chinese patent medicines in a convenient and effective method. Most of the methods adopted are to use high-performance liquid chromatography (HPLC) to determine certain components in medicines, such ...

AI Technical Summary

Problems solved by technology

[0004] In view of the fact that the existing high performance liquid chromatography (HPLC) has a complex and time-consuming production process when measuring the components of Chinese patent medicines, destroys the integrity of the sample, and has low accuracy in the detection of components in the drug, and cannot perform real-time detection in online production engineering, etc. Problem, the present invention provides a method for real-time and accurate detection of the type and content of ingredients in Chinese patent medicines

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