کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1383033 1500607 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantitative structure property relationship modeling of excipient properties for prediction of formulation characteristics
ترجمه فارسی عنوان
مدلسازی ویژگی های ساختاری کمی ساختار خواص اضافی برای پیش بینی ویژگی های فرمولاسیون
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آلی
چکیده انگلیسی


• Corrected values of molecular descriptors for excipients structure were calculated.
• These descriptor values were then correlated with formulation characteristics.
• This leads to development of predictive QSPR models.
• QSPR models after validation could be able to predict the formulation composition.
• This could have a positive economic impact on formulation design trials.

Quantitative structure property relationship (QSPR) is used to relate the excipient descriptors with the formulation properties. A QSPR model is developed by regression analysis of selected descriptors contributing towards the targeted formulation properties. Developed QSPR model is validated by the true external method where it showed good accuracy and precision in predicting the formulation composition as experimental t90% (61.35 min) is observed very close to predicted t90% (67.37 min). Hence, QSPR approach saves resources by predicting drug release from an unformulated formulation; avoiding repetitive trials in the development of a new formulation and/or optimization of existing one.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Carbohydrate Polymers - Volume 151, 20 October 2016, Pages 593–599
نویسندگان
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