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ZHANG Lingna, ZHANG Minxin, SONG Hongtao. Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method[J]. Journal of Pharmaceutical Practice and Service, 2019, 37(3): 222-225. doi: 10.3969/j.issn.1006-0111.2019.03.006
Citation: ZHANG Lingna, ZHANG Minxin, SONG Hongtao. Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method[J]. Journal of Pharmaceutical Practice and Service, 2019, 37(3): 222-225. doi: 10.3969/j.issn.1006-0111.2019.03.006

Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method

doi: 10.3969/j.issn.1006-0111.2019.03.006
  • Received Date: 2018-11-14
  • Rev Recd Date: 2019-01-16
  • Objective To optimize the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method. Methods The amount of polyvinyl alcohol and chitosan were taken as the investigation factors,the percutaneous cumulative permeation amount in vitro was used as the evaluation index,and the relationship between the investigation index and the investigation factor were described by the multivariate linear model and the nonlinear model.The optimal formulation was determined by plotting the effect surface and the contour map according to the model. Results The quadratic polynomial fitting in the nonlinear model had a higher complex correlation coefficient,r=0.970 2.The porous hydrogel's 12 h cumulative permeation deviation between the predicted value and the theoretical value was 4.32% which was prepared by optimal formulation,and the model had good predictability. Conclusion The central composite design-response surface method was used to optimize the polyvinyl alcohol-propranolol hydrogel formulation,which could realize the simultaneous optimization of multiple indicators.The established model had good predictability and could be used for formulation optimization.
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    [3] 王琨,陈涛,张雷.普萘洛尔不同使用途径治疗婴幼儿血管瘤疗效对比观察[J].中国卫生标准管理,2015,6(32):129-130.
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Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method

doi: 10.3969/j.issn.1006-0111.2019.03.006

Abstract: Objective To optimize the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method. Methods The amount of polyvinyl alcohol and chitosan were taken as the investigation factors,the percutaneous cumulative permeation amount in vitro was used as the evaluation index,and the relationship between the investigation index and the investigation factor were described by the multivariate linear model and the nonlinear model.The optimal formulation was determined by plotting the effect surface and the contour map according to the model. Results The quadratic polynomial fitting in the nonlinear model had a higher complex correlation coefficient,r=0.970 2.The porous hydrogel's 12 h cumulative permeation deviation between the predicted value and the theoretical value was 4.32% which was prepared by optimal formulation,and the model had good predictability. Conclusion The central composite design-response surface method was used to optimize the polyvinyl alcohol-propranolol hydrogel formulation,which could realize the simultaneous optimization of multiple indicators.The established model had good predictability and could be used for formulation optimization.

ZHANG Lingna, ZHANG Minxin, SONG Hongtao. Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method[J]. Journal of Pharmaceutical Practice and Service, 2019, 37(3): 222-225. doi: 10.3969/j.issn.1006-0111.2019.03.006
Citation: ZHANG Lingna, ZHANG Minxin, SONG Hongtao. Optimization of the formulation of polyvinyl alcohol-propranolol hydrochloride porous hydrogel by central composite design-response surface method[J]. Journal of Pharmaceutical Practice and Service, 2019, 37(3): 222-225. doi: 10.3969/j.issn.1006-0111.2019.03.006
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