کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2488086 | 1114455 | 2005 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of statistical analysis and Bayesian networks in the evaluation of dissolution performance of BCS Class II model drugs
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کلمات کلیدی
Box–Behnken experimental designDissolution - انحلال In silico modeling - در مدل سازی سیلیکاBiopharmaceutical classification system - سیستم طبقه بندی بیوفیزیکBayesian networks - شبکهٔ بیزی یا «شبکه باور» یا «شبکه باور بیزی»Similarity factor - فاکتور تشابهFormulation - فرمولاسیونHard gelatin capsules - کپسول های سخت ژلاتینEncapsulation - کپسوله سازی
موضوعات مرتبط
علوم پزشکی و سلامت
داروسازی، سم شناسی و علوم دارویی
اکتشاف دارویی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Comparison of statistical analysis and Bayesian networks in the evaluation of dissolution performance of BCS Class II model drugs Comparison of statistical analysis and Bayesian networks in the evaluation of dissolution performance of BCS Class II model drugs](/preview/png/2488086.png)
چکیده انگلیسی
This project compared the effect of formulation variables on the dissolution performance of model Biopharmaceutics Classification System (BCS) Class II drugs from hard gelatin capsules using statistical analysis and Bayesian networks. The drugs chosen for this study were carbamazepine (CAR), chlorpropamide (CHL), diazepam (DIA), ketoprofen (KET), and naproxen (NAP). Formulations contained anhydrous lactose, microcrystalline cellulose, sodium stearyl fumerate, sodium lauryl sulfate, and croscarmellose sodium. A Box-Behnken experimental design was used in the statistical analysis. The weakly acidic drugs were tested using USP apparatus II with capsule sinkers in 0.1M pH 6.8 Potassium Phosphate buffer. The weakly basic drugs were tested using USP apparatus I in 0.1N HCl buffer. Mean dissolution profiles were compared via calculation of the similarity factor. The Box-Behnken experimental design was found to be useful in assessing primary and secondary excipient effects on dissolution. The Bayesian Network developed for the dataset mirrored the key excipient effects on dissolution performance. © 2005 Wiley-Liss, Inc. and the American Pharmacists Association.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pharmaceutical Sciences - Volume 94, Issue 12, December 2005, Pages 2764-2776
Journal: Journal of Pharmaceutical Sciences - Volume 94, Issue 12, December 2005, Pages 2764-2776
نویسندگان
Wendy I. Wilson, Yun Peng, Larry L. Augsburger,