title: Optimization and characterization of levamisole-loaded chitosan nanoparticles by ionic gelation method using 2(3) factorial design by Minitab 15.
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.
  
  
  CONCLUSIONS
  The nanoparticles were prepared by using 2(3) factorial design to obtain high entrapment efficiency and small size. The polynomial equation can be used to predict the responses.
  
  
  CONCLUSIONS
  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 2(3) factorial design shows good relationship between independent variables and dependent variables for prediction.
authors: School of Pharmacy & Technology Management, SVKM's NMIMS, Vile Parle (W) Mumbai 400056, India. divyenshah@gmail.com
authors: Divyen
authors: D
authors: Shah
authors: Vaishali
authors: V
authors: Londhe
mesh_terms: D000871:Anthelmintics / Q000008:administration & dosage*; D002152:Calorimetry, Differential Scanning; D048271:Chitosan / Q000008:administration & dosage*; D006863:Hydrogen-Ion Concentration; D007978:Levamisole / Q000008:administration & dosage* / Q000737:chemistry; D053758:Nanoparticles / Q000008:administration & dosage*; D012995:Solubility
chemical_list: D000871:Anthelmintics; D007978:Levamisole; D048271:Chitosan