Author(s): Bindu Madhavi Boddupalli, Ramalingam Ramani, Bhrugun Anisetti
Cancer isa leading cause of death globally. The World Health Organizationestimates that 9.6 million people died of cancer in 2018. More than 70% of all cancerdeathsoccur in low-and middle-income countries, where resources available forprevention, diagnosis and treatment of cancer are limited or nonexistent. Present investigation aimed at formulation and optimization of nanoparticles with Etoposide, an anticancer drug. Design Expert software is used for optimization. A randomised response surface design was used for optimization procedure. Stirring speed and crosslinking agent concentration are the independent variables for the dependant variables of particle size and drug loading. Statistical data of the dependent variables obtained were subjected to the analysis of variance and were foundsignificant at p<0.001 for particle size and at p<0.0001 for drug loading. Encapsulation efficiency of the NPs was evaluated andthey were found to be between 65.87±2.78 -88.95±1.09. The prepared NPs are with the minimum size of 98±8.76nm and a maximum size of 786.24±6.89nm. Through factorial design, it wasoptimised that 500rpm (at a level of 1) and the maximum concentration of glutaraldehyde at 25% (at a level of 1) will result a least mean particle size of 150.13nm and maximum drug loading of 86.24%.