چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | حامد همیشه کار |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | مرکز تحقیقات کاربردی دارویی |
| کد مقاله | 60723 |
| عنوان فارسی مقاله | Effect of Processing Parameters on Physicochemical Properties of β-Carotene Nanocrystal: A Statistical Experimental Design Analysis |
| عنوان لاتین مقاله | Effect of Processing Parameters on Physicochemical Properties of β-Carotene Nanocrystal: A Statistical Experimental Design Analysis |
| ناشر | 4 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ | خیر |
| عنوان نشریه (خارج از لیست فوق) | |
| نوع مقاله | Original Article |
| نحوه ایندکس شدن مقاله | ایندکس شده سطح سه – Scopus |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | http://www.ijps.ir/article_25450_d89ddcf4034dc7b3debd5d9cca2f5e68.pdf |
| Incorporation of functional foods and nutraceuticals such as carotenoids which suffer from poor water solubility and low bioavailability into nano-sized delivery systems can improve their solubility, stability, and oral bioavailability. The aim of this study was to prepare β-Carotene nanodispersion and investigate the effects of preparation parameters by means of response surface methodology using central composite design. Therefore, the impact of the preparation conditions namely the homogenizer speed, evaporation temperature, and rotation speed (as independent variables) on the mean particle size, particle size distribution, and β-carotene amount of the prepared β- carotene nanodispersion (as responses) were evaluated. A multiple-optimization procedure showed that the optimum conditions of homogenization speed as well as evaporation temperature and rotary speed were 15000 rpm, 32 °C , and 140 rpm, respectively. A statistical assessment showed insignificant (p > 0.05) differences between experimental and predicted responses values, verifying the fitness of the final reduced models for explaining the variation of nanoemulsion properties. Using statistical methods can reduce the number of experiments by optimizing of formulations during development and lead to significant save in time and cost. |
| نویسنده | نفر چندم مقاله |
|---|---|
| آتاهیتا رفیعی تبار | اول |
| حامد همیشه کار | چهارم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 2016-RafieTabar-IJPS.pdf | 1396/02/29 | 1509610 | دانلود |
