Optimization of pharmaceutical production process parameters for Guanxin Suhe drop pills based on rough set theory and orthogonal design
Objective To determine the law between pharmaceutical production process parameters based on rough set theory and orthogonal design,and explore the mathematical method for optimal selection of parameters.Methods The optimization of process parameters of Guanxin Suhe drop pills was used as an example.The decision table was established via the pretreatment data from orthogonal design experiment.The effect of process parameters on the results was dynamically analyzed with the rule model of rough set theory,and the parameters were optimized.Results When the parameters for the production of Guanxin Suhe drop pills gradually increased respectively,such as the proportion of drug and base material,the liquid temperature and the coolant temperature,the average level of dissolution time limit displayed low-high-low pattern;when the liquid temperature and the coolant temperature increased gradually,the average level of dissolution time limit dynamically decreased.The best combination included the proportion of drug and base material at 1:2,liquid temperature at 70 ℃,and coolant temperature at 12～14 ℃.Conclusion Rough set theory can dynamically and comprehensively analyze the internal relationship between pharmaceutical production parameters and test indexes,offering a mathematical method to improve the quality of pharmaceutical production.
rough set theoryorthogonal designdecision rule modelGuanxin Suhe drop pill
NETL
NSTL
万方数据
