Intermediate infrared spectrum polycomponent quantitative analysis method of traditional Chinese medicine extract

Abstract

The invention discloses a middle infrared spectrum multi-component quantitative analysis method of traditional Chinese medicine extract. The method establishes an analysis model by the following steps: 1) more than 30 bathes of the traditional Chinese medicine extract are collected to carry out the content measurement of indicator ingredients and the infrared spectrum scanning; 2) a spectrum quant plus software is utilized for establishing the analysis model, and the fitting ratio of the model is close to 1.0 by the parameter optimization. When in practical application of the method for carrying out the sample determination, the content value can be predicted by only scanning one piece of middle infrared spectrum to be substituted in the model, the operation is simple, the detection cost is lower, the detection period is short and the data reproducibility is good; furthermore, the method does not use organic solvent, so the method can not generate waste liquid and be better than the conventional HPLC detection method; and the method can still better predict the content for the indicator ingredients with very low content (less than 2 percent).

Description

technical field [0001] The invention relates to a quality control method for extracts of traditional Chinese medicines, in particular to a rapid quantitative analysis method for extracts of traditional Chinese medicines. Background technique [0002] During the extraction process of traditional Chinese medicine, it is necessary to measure the content of the index components to ensure the quality of the product and the stability between batches. At present, the HPLC method (high performance liquid chromatography) is routinely used to determine the content of the index components, that is, the steps of weighing, dissolving, diluting, and HPLC sample injection are carried out for each batch of Chinese medicine extracts, and then passed through the peak with the index component reference substance. The content was calculated by the area normalization method to obtain the content value of the index components of each batch of traditional Chinese medicine extract. The specific st...

AI Technical Summary

Problems solved by technology

The fitting rate of the model established by the NIR method is low, less than 0.9, resulting in a low accuracy rate of prediction results when the blind sample (that is, the sample to be tested) is brought into the model, and the near-infrared instrument is more expensive and the detection cost is higher.

[0004] Researchers have been using mid-infrared spectroscopy for qualitative analysis of substances for a long time, but there is no research on using mid-infrared spectroscopy for multi-component quantitative analysis

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