Optimization of Anti-moisture Prescription of Bazhen Tablet Extracts and Application of Support Vector Machine

OBJECTIVE:To reduce the hygroscopicity of Bazhen tablet extracts and to improve the stability of extracts.METHODS:The anti-moisture prescription of Bazhen tablet extracts was optimized by orthogonal experiment using moisture absorption rate as index and with temperature,relative moisture,drug-excipient ratio and excipient ratio as factors.Support vector machine was adopted to predict the results of study.RESULTS:Optimized condition was as follows:temperature at 20℃,relative moisture of 50%,drug-excipient ratio of 5:1 and excipient ratio of 2:1.The proportional error between predictive value and practical measured value was 2.047 9%.CONCLUSION:Established mode has high accuracy and strong generalization ability,and it can be used for the prediction of anti-moisture prescription.