论文部分内容阅读
In this work,the effects of degradation time,temperature,and pH value on the degradation of Salvianolic acid B in aqueous solution were determined.Higher pH values,higher extraction temperature,and longer extraction time led to more degradation of Salvianolic acid B.Danshensu concentration increased as Salvianolic acid B degraded.A mechanism model was developed considering the degradation of Salvianolic acid E and lithospermic acid,which were two degradation products of Salvianolic acid B.The reverse reactions of Salvianolic acid B degradation were also considered.Degradation kinetic constants were calibrated.The degradation kinetics of Salvianolic acid B,lithospermic acid,and Danshensu in a Salvia miltiorrhiza extract aqueous solution were predicted using the mechanism model.The predicted concentrations agreed well with the experimental results.This model was developed using degradation data obtained from simple composition systems,but it can be applied in a complex botanical mixture with high prediction accuracy.
In this work, the effects of degradation time, temperature, and pH value on the degradation of Salvianolic acid B in aqueous solution were determined.Higher pH values,high extraction temperature, and longer extraction time led to more degradation of Salvianolic acid B.Danshensu The concentration increased as Salvianolic acid B degraded.A mechanism model was developed looking the degradation of Salvianolic acid E and lithospermic acid, which were two degradation products of Salvianolic acid B.The conversion values of Salvianolic acid B degradation were also considered.Degradation kinetic constants were calibrated.The degradation kinetics of Salvianolic acid B,lithospermic acid,and Danshensu in a Salvia miltiorrhiza extract aqueous solution were predicted using the mechanism model.The predicted concentrations agreed well with the experimental results.This model was developed using modified data obtained from simple composition Systems, but it can be applied in a complex botanical mixture With high prediction accuracy.