Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Factorial Design: A Comparative Study With And Without Use of Software. A Comparative Factorial Design Approach In Pharmaceutical Formulations
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Pradnya Palekar - Shanbhag and Priyank Parikh
ISBN: 9783659460111
Год издания: 2015
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 76
Издательство: LAP LAMBERT Academic Publishing
Цена: 23777 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Factorial design as optimization technique was applied in formulation development and processing conditions of Diclofenac sodium granules. The present study involves design and evaluation of non-effervescent granules of Diclofenac sodium with excellent flow properties. In the formulation of non-effervescent granules of Diclofenac sodium, angle of repose was the dependent variable (with excellent flow) and the concentrations of binder (Povidone K-30) and lubricant (Magnesium stearate) were the two independent variables chosen at two different levels. With the help of factorial approach, a polynomial equation Y= B0 + B1X1 + B2X2 + B12X1X2 was formed. Using the polynomial equation three new formulations were selected and performed to evaluate the correlation between experimental and predicted responses. A good correlation was obtained between the experimental and the predicted values. Also the work was oriented to have a comparative study of application of factorial design with and without use of software and come up with any pros and cons of these respective ways.
Ключевые слова: dependent variable, diclofenac sodium, Factorial Design, Optimization technique, Software, polynomial equation, non-effervescent granules