Abstract

STATISTICAL OPTIMIZATION OF CHLORPROMAZINE HYDROCHLORIDE - LOADED SOLID LIPID NANOPARTICLES USING 32 FULL FACTORIAL DESIGN

Manish V. Bhalerao* and Vaishali M. Gambhire

ABSTRACT

Chlorpromazine hydrochloride is an atypical anti-psychotic drug with extensive first-pass metabolism and limited oral bioavailability and solid lipid nanoparticles (SLN) is one of the approaches to improve its bioavailability. This study introduces a 32 full factorial design used for optimization of chlorpromazine hydrochloride loaded solid lipid nanoparticles prepared by probe sonication method. The independent two variables Drug: Lipid ratio, probe sonication time at three levels arranged in a 32 design to study effect on dependent variables particle size and entrapment efficiency. From the statistical analysis of data polynomial equations were generated. The particle size and %EE for the 9 batches (R1 to R9) showed a wide variation of 130-152 nm and 76-87%, respectively. Physical characterization of chlorpromazine hydrochloride - SLN done by differential scanning calorimeter, X- ray diffraction, Infrared spectrophotometry and particle size analyzer. Particle size, zeta potential and entrapment efficiency of optimized formulation was found to be 141.69 nm, -30.0 mV and 86.74% respectively. The in vitro drug release study of chlorpromazine hydrochloride solid lipid nanoparticles using dissolution apparatus shows controlled release of chlorpromazine than dispersion of pure drug.

Keywords: Chlorpromazine hydrochloride, atypical antipsychotic, Solid Lipid Nanoparticles, 32 full factorial design, probe sonication.