Related Experiment Video
Updated: May 9, 2026

PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS
Published on: December 27, 2013
Application of multiple regression analysis in optimization of anastrozole-loaded PLGA nanoparticles
Abhinesh Kumar1, Krutika K Sawant
1Drug Delivery Research Laboratory, TIFAC Center of Relevance and Excellence in NDDS, Pharmacy Department, G. H. Patel Building, Donor's Plaza, The M. S. University of Baroda , Fatehgunj, Vadodara 390002, Gujarat , India.
Abstract:
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 (X1), polymer concentration in organic phase (X2) and surfactant concentration in aqueous phase (X3) 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.
More Related Videos
08:57Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice
Published on: October 5, 2017
06:47Formulation of Diblock Polymeric Nanoparticles through Nanoprecipitation Technique
Published on: September 20, 2011
Related Concept Videos
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses
Methods of Medium Optimization
Bioavailability Enhancement: Drug Stability Enhancement and GI Retention
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations
Analysis of Population Pharmacokinetic Data