Formulation and Optimization of Sustained Release Matrix Tablet of Metformin HCl 500 mg Using Response Surface Methodology

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  • MANDAL Uttam
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University
  • GOWDA Veeran
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University
  • GHOSH Animesh
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University
  • SELVAN Senthamil
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University
  • SOLOMON Sam
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University
  • PAL Tapan Kumar
    Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University

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  The aim of the current study was to design an oral sustained release matrix tablet of metformin HCl and to optimize the drug release profile using response surface methodology. Tablets were prepared by non-aqueous wet granulation method using HPMC K 15M as matrix forming polymer. A central composite design for 2 factors at 3 levels each was employed to systematically optimize drug release profile. HPMC K 15M (X1) and PVP K 30 (X2) were taken as the independent variables. The dependent variables selected were % of drug released in 1 hr (rel1 hr), % of drug released in 8 hrs (rel8 hrs) and time to 50% drug release (t50%). Contour plots were drawn, and optimum formulations were selected by feasibility and grid searches. The formulated tablets followed Higuchi drug release kinetics and diffusion was the dominant mechanism of drug release, resulting in regulated and complete release within 8 hrs. The polymer (HPMC K 15M) and binder (PVP K 30) had significant effect on the drug release from the tablets (p<0.05). Polynomial mathematical models, generated for various response variables using multiple linear regression analysis, were found to be statistically significant (p<0.05). Validation of optimization study, performed using 8 confirmatory runs, indicated very high degree of prognostic ability of response surface methodology, with mean percentage error (±S.D.) 0.0437±0.3285. Besides unraveling the effect of the 2 factors on the in vitro drug release, the study helped in finding the optimum formulation with sustained drug release.<br>

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  • 薬学雑誌

    薬学雑誌 127 (8), 1281-1290, 2007-08-01

    公益社団法人 日本薬学会

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