Journal
JOURNAL OF MICROENCAPSULATION
Volume 31, Issue 2, Pages 105-114Publisher
TAYLOR & FRANCIS LTD
DOI: 10.3109/02652048.2013.808280
Keywords
Anastrozole; multiple regression analysis; nanoparticles; PLGA
Funding
- All India Council of Technical Education, New Delhi, India, for providing National Doctoral Fellowship
Ask authors/readers for more resources
The present investigation deals with development of anastrozole-loaded PLGA nanoparticles (NPs) as an alternate to conventional cancer therapy. The NPs were prepared by nanoprecipitation method and optimized using multiple regression analysis. Independent variables included drug: polymer ratio (X-1), polymer concentration in organic phase (X-2) and surfactant concentration in aqueous phase (X-3) while dependent variables were percentage drug entrapment (PDE) and particle size (PS). Results of desirability criteria, check point analysis and normalized error were considered for selecting the formulation with highest PDE and lowest PS. Prepared NPs were characterized for zeta potential, transmission electron microscopy (TEM), differential scanning calorimetry (DSC) and in vitro drug release studies. DSC and TEM studies indicated absence of any drug-polymer interaction and spherical nature of NPs, respectively. In vitro drug release showed biphasic pattern exhibiting Fickian diffusion-based release mechanism. This delivery system of anastrozole is expected to reduce the side effects associated with the conventional cancer therapy by reducing dosing frequency.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available