Construction of a Prediction Model for Macroporous Resin Based on R Language

KeyWord:macroporous adsorption resin  glucan  R language  multi source information model

Abstract:

      Aiming at the current situation of long time and cumbersome operation in precise screening of macroporous resins with high selective separation performance for polysaccharides of traditional Chinese medicine,a predictive model for the rapid screening of macroporous resins was constructed in this paper.A multi source information model for the parameters of a macroporous adsorption resin,the molecular weight of glucan and the adsorption capacity was established by using R language,which was used to quickly predict and screen the type of macroporous adsorption resin with the optimal adsorption effect for polysaccharides of traditional Chinese medicine.The correlation coefficient(r2) of the established multi source information model is 0.901 2,the P value is 0.000 782 and the root mean square error(RMSE) is 19.89,which was verified with lycium barbarum polysaccharide,and was used to predict the adsorption effects of LX-T19,LX-T81,LX-20,LX-1180 and D101 type macroporous adsorption resins on lycium barbarum polysaccharides.Results showed that LX-20 is the best macroporous adsorption resin,with its adsorption capacity of 117.40 mg¡¤g-1,while its actual adsorption capacity by the verification experiment is 111.23 mg¡¤g-1.The established multi source information prediction model is accurate and reliable,and has a reference value for the precise and rapid screening of macroporous adsorption resins used for purification of polysaccharides in Chinese medicine.