Traditional Chinese medicine extraction process quality control method based on data mining

Abstract

The invention relates to a traditional Chinese medicine extraction process quality control method based on data mining, comprising the following steps: adding traditional Chinese medicinal materials into an extraction tank, carrying out sample extraction according to certain process parameters, and collecting the near infrared spectrum of an extracting solution once every certain time in the extraction process; selecting quality indexes, and collecting quality index parameters of the extracted sample; establishing a relationship between the process parameters and the quality indexes in the extraction process by adopting an algorithm, and setting a quality index evaluation value based on the relationship between the process parameters and the quality indexes; quick determination of an extraction end point: when the process parameters meet specific conditions, judging that the extraction end point is reached; and judging the optimal process: when the quality index judgment value reaches the highest value, determining that the corresponding process parameter is the optimal process parameter. According to the method, data mining analysis research of key index parameters and process parameters in the safflower extraction process is realized, and a quality control optimization strategy is established.

Description

technical field [0001] The application belongs to the technical field of traditional Chinese medicine pharmacy, and in particular relates to a method for quality control of traditional Chinese medicine extraction process based on data mining. Background technique [0002] The extraction process of traditional Chinese medicine is a key link in the production of traditional Chinese medicine. Advanced extraction technology and controllable quality control methods are very important to improve the quality of traditional Chinese medicine products and enhance the efficacy and stability of traditional Chinese medicine. Safflower is the dried flower of Carthamustinctorius L., a plant in the Compositae family. It is pungent and warm in nature and has the effects of promoting blood circulation, promoting menstruation, dispelling blood stasis and relieving pain. It is a common Chinese medicinal material. At present, there are few research reports on the quality control of the safflower...

AI Technical Summary

Problems solved by technology

At present, there are few research reports on the quality control of the safflower extraction process. The existing reports mainly focus on single-factor investigations. The investigated influencing factors are not comprehensive enough, and the evaluation indicators are relatively single, which cannot effectively improve the quality of the safflower extract. Improve the quality of final Chinese patent medicine products

The current traditional Chinese medicine extraction production often adopts a fixed extraction time and lacks an endpoint judgment method. However, due to the quality difference between batches of medicinal materials and the fluctuation of extraction process parameters, the actual extraction end point lags behind or is ahead of the established extraction time, resulting in batch failure. The relative standard deviation (RSD) of the quality of the extract is relatively large, which seriously affects the stability and uniformity of the product, and at the same time causes waste of energy and time

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