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DOI 10.1248/yakushi.15-00195

Медицинская библиотека · Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan · 2015

[Efficient Pharmaceutical Formulation Designs and Their Development Using Mathematical and Statistical Analysis].

Iwao Yasunori

Аннотация на английскомСтатьяОбзорПеревод в очереди

Аннотация

With the aim of directly predicting the functionality and mechanism of pharmaceutical excipients, we investigated an analysis method based on available surface area (S(t)), which is the surface area of a drug in direct contact with the external solvent during dissolution. First, to study the effect of lubricant concentration on the dissolution rate of acetaminophen (APAP), the dissolution behaviors as well as the change over time in S(t) of APAP tablets were examined. In the dissolution tests, a retarded dissolution of APAP was not observed with new lubricant triglycerin full behenate (TR-FB), whereas magnesium stearate (Mg-St) retarded the dissolution. The S(t) profiles for APAP with Mg-St at>0.5% showed downward curvature indicating a gradual decrease in surface area over time. Conversely, with TR-FB, even when its concentration was increased, the S(t) profile for APAP had a maximum value. The differences between Mg-St and TR-FB could be explained by the differences in extensibility deriving from their morphology. Next, we evaluated the effect of disintegtant concentration using five disintegrants. When disintegrant was added to ethenzamide tablet formulation, an increase in the dissolution rate and S(t) dependent on disintegrant concentration was observed, according to the type of disintegrant. It was found that the water absorption ability of disintegrants had strong correlations with the parameters of S(t). Taken together, this study demonstrates that analysis of S(t) can directly provide useful information, especially about the functionality of pharmaceutical excipients.

Для цитирования: Iwao Yasunori. [Efficient Pharmaceutical Formulation Designs and Their Development Using Mathematical and Statistical Analysis].. Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan. 2015. DOI: 10.1248/yakushi.15-00195.

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