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MENG Hui, XU Yong. Optimized formulation of human serum albumin injectable gel[J]. Journal of Pharmaceutical Practice and Service, 2009, 27(4): 254-257.
Citation: MENG Hui, XU Yong. Optimized formulation of human serum albumin injectable gel[J]. Journal of Pharmaceutical Practice and Service, 2009, 27(4): 254-257.

Optimized formulation of human serum albumin injectable gel

  • Received Date: 2008-08-28
  • Objective :To prepare human serum albumin(HSA) injectable gel.To optimize the formulations of injectable gel by a central composite design/response surface methodology. Methods : Injectable gel loaded HSA were prepared with poly(lactic-co-glycolic acid)(PLGA) as carrier material and N-methyl-2-pyrrolidone(NMP) and benzyl benzoate(BB)as co-solvent.Independent variables were PLGA content and the content of co-solvent,and in vitro release was dependent variable.Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables.Response surfaces were delineated according to best-fit mathematic models,and optimum formulations were selected thereform.Prediction was carried out through comparing the observed and predicted values. Results :The trinomial fitting equations of indexes were all superior to their multi-linear regression equations,and the predictive values in the established mathematical model were in good conformity with the experimental values. Conclusion :Central composite design/response surface method shows a good predictability in optimizing the formula technology of BDNF-loaded PLGA nanoparticles.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Optimized formulation of human serum albumin injectable gel

Abstract: Objective :To prepare human serum albumin(HSA) injectable gel.To optimize the formulations of injectable gel by a central composite design/response surface methodology. Methods : Injectable gel loaded HSA were prepared with poly(lactic-co-glycolic acid)(PLGA) as carrier material and N-methyl-2-pyrrolidone(NMP) and benzyl benzoate(BB)as co-solvent.Independent variables were PLGA content and the content of co-solvent,and in vitro release was dependent variable.Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables.Response surfaces were delineated according to best-fit mathematic models,and optimum formulations were selected thereform.Prediction was carried out through comparing the observed and predicted values. Results :The trinomial fitting equations of indexes were all superior to their multi-linear regression equations,and the predictive values in the established mathematical model were in good conformity with the experimental values. Conclusion :Central composite design/response surface method shows a good predictability in optimizing the formula technology of BDNF-loaded PLGA nanoparticles.

MENG Hui, XU Yong. Optimized formulation of human serum albumin injectable gel[J]. Journal of Pharmaceutical Practice and Service, 2009, 27(4): 254-257.
Citation: MENG Hui, XU Yong. Optimized formulation of human serum albumin injectable gel[J]. Journal of Pharmaceutical Practice and Service, 2009, 27(4): 254-257.

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