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KMID : 0370219740180010049
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Yakhak Hoeji
1974 Volume.18 No. 1 p.49 ~ p.58
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Mathematical Optimization Techniques in Drug Product Design and Process Analysis. Optimization Techniques in Tablet Design
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김용배/Kim YB
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Abstract
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Tablet product design problem was structured as constrained optimization problem and subsequently solved by multiple regression analysis and Lagrangian method of optimization. Aluminum flufenamate was the drug chosen and microcrystalline cellulose and starch were the binder and disintegrant, respectively. The effect of the binder and disintegrant concentration on tablet hardness, friability, volume, in vitro release rate, and urinary excretion rate of drug in human subjects was recorded. Since a reasonably rapid release rate of drug is generally an important objective in the design of solid dosage form, optimization of this parameter was employed in studying the applicability of constrained optimization to a pharmaceutical product design problem. In addition to finding optimal solutions to constrained pharmaceutical problems, the application of sensitivity analysis studies to such problems was also illustrated. It would appear that prediction of the in vivo t’’50% response from a knowledge of the in vitro t50% response can be made fairly accurately for the tablet system used in this study.
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