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Information Seminar Paper

Title

OPTIMIZING SOLUBILITY OF NANOPARTICLES IN APSP METHOD USING GENETIC ALGORITHM APPROACH AND RESPONSE SURFACE METHODOLOGY

Pages

 Start Page | End Page

Keywords

ANTISOLVENT PRECIPITATION WITH A SYRINGE PUMP (APSP) 

Abstract

 ONE OF THE MAJOR PROBLEMS IN DRUG DELIVERY IS POOR ABSORPTION OF DRUG IN BODY, THROUGH POOR AQUEOUS SOLUBILITY OF DRUG PARTICLES. THE RESEARCHERS TRY TO REDUCE THE SIZE OF DRUG PARTICLES UP TO NANOSCALE. THE METHOD CALLED ANTISOLVENT PRECIPITATION WITH A SYRINGE PUMP (APSP), IS ONE OF THE METHODS THAT IS CONSIDERED IN THIS FIELD. HOWEVER, THERE ARE MANY FACTORS IN THIS APPROACH THAT AFFECT THE PRODUCED NANOPARTICLES. IN THIS STUDY, GENETIC ALGORITHM (GA) IS USED TO OPTIMIZE THE SOLUBILITY OF NANOPARTICLES FABRICATED BY APSP METHOD. THE PRESENTED MODEL BY RESPONSE SURFACE METHOD (RSM) FOR NANOPARICLES SOLUBILITY, HAS BEEN CHOSEN AS THE OBJECTIVE FUNCTION FOR OPTIMIZATION BY GA. FINALLY, THE SOLUBILITY VALUES PREDICTED BY THE RESPONSE SURFACE MODELING AND OPTIMIZATION MODELS WERE COMPARED, AND IT WAS OBSERVED THAT GA IS AN EFFECTIVE METHOD ABLE TO OPTIMIZE THE SOLUBILITY OF THE NANOPARTICLES.

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