1. Optimization and characterization of levamisole-loaded chitosan nanoparticles by ionic gelation method using 23 factorial design by Minitab® 15
- Author
-
Divyen Shah and Vaishali Londhe
- Subjects
Anthelmintics ,Chitosan ,Materials science ,Calorimetry, Differential Scanning ,Sodium ,Analytical chemistry ,Pharmaceutical Science ,Nanoparticle ,chemistry.chemical_element ,Ionic bonding ,Factorial experiment ,Hydrogen-Ion Concentration ,chemistry.chemical_compound ,Differential scanning calorimetry ,Levamisole ,Solubility ,chemistry ,Chemical engineering ,Transmission electron microscopy ,Nanoparticles ,Particle size - Abstract
Background: The purpose of the present study is to investigate the combined influence of three independent variables on two dependent variables for the preparation of nanoparticles. The three independent variables are the chitosan/sodium tripolyphosphate ratio, pH of sodium tripolyphosphate and levamisole concentration; while particle size and percentage drug entrapment were dependent variables. Discussion: The nanoparticles were prepared by using 23 factorial design to obtain high entrapment efficiency and small size. The polynomial equation can be used to predict the responses. Conclusion: The prepared nanoparticles show busted release for the first 2 h and then show sustained release. The differential scanning calorimetry graphs indicate that drug is completely entrapped in nanoparticles and transmission electron microscopy images show that nanoparticles are spherical in shape and dense solid in nature. The mathematical model obtained by 23 factorial design shows good relationship between independent variables and dependent variables for prediction.
- Published
- 2011