Optimization of Xiaoyang Dispersible Tablets Molding Technology by Central Composite Design-response Surface Methodology
Jianqin Liang
Abstract
Jianqin Liang
Abstract
Objective:The optimal molding technology of Xiaoyang dispersible tablets was selected.Methods:The main influential factors of the molding technology included the proportion of MCC,PVPP and SLS,the molding effect was evaluated with the dissolution of total notoginseng saponins.The molding technology was optimized by central composite design-response surface methodology.Multilinear and quadratic models were used to estimate the relationship between the dependent and the independent variables,the optimal formulations was selected by the response surface method(RSM).Results:The optimal molding technology was as follows:MCC was 28.7%,PVPP was 12.9%,SLS was 0.58%.Conclusion:Central composite design-response surface methodology was convenient to optimize the molding of Xiaoyang dispersible tablets,and the optimal molding technology is stable and available.
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Objective:The optimal molding technology of Xiaoyang dispersible tablets was selected.Methods:The main influential factors of the molding technology included the proportion of MCC,PVPP and SLS,the molding effect was evaluated with the dissolution of total notoginseng saponins.The molding technology was optimized by central composite design-response surface methodology.Multilinear and quadratic models were used to estimate the relationship between the dependent and the independent variables,the optimal formulations was selected by the response surface method(RSM).Results:The optimal molding technology was as follows:MCC was 28.7%,PVPP was 12.9%,SLS was 0.58%.Conclusion:Central composite design-response surface methodology was convenient to optimize the molding of Xiaoyang dispersible tablets,and the optimal molding technology is stable and available.
Key concepts: Central composite design, Molding (decorative), Response surface methodology, Composite number, Quadratic model, Composite material, Materials science, Process engineering