Study on three indicator flavonoids extraction of multi-objective optimization formula of Yangyin Tongnao Granules by R language / 中草药

ABSTRACT

Objective: Multi-objectively optimizing the extraction technology for three indicator flavonoids in the formula of Yangyin Tongnao Granules. Methods: Taking the extraction yield of puerarin, calycosin, and formononetin in the formula of Yangyin Tongnao Granules as the detecting indicators, the extraction technology was investigated by 4 factors 3 levels orthogonal test design method. Using R language, combining the entropy weight method to give weight, and establishing the BP neural network model, using the genetic algorithm to target the optimization of network, so as to get the best extraction technology for puerarin, calycosin, and formononetin. Results: The optimization of extraction technology was as follows ethanol concentration was 85%, extraction time was 1.5 h, extraction temperature was 80℃, and ethanol dosage was 25 times. Under the condition, the predictive value of model comprehensive evaluation was 0.389, the predictive value of the average comprehensive evaluation obtained in the experiment was 0.394, the relative error was 1.27%. So it had a better network prediction. Conclusion: Combining the feasibility and repeatability of the extraction yield and extraction technology for the three index component to establish the mathematical model for analyzing and predicting the extraction technology of puerarin, calycosin, and formononetin in the formula of Yangyin Tongnao Granules and providing a new reference to realize the multi-objective optimization of the extraction technology for the active constituents in Chinese materia medica.