Development and Optimization of Ciprofloxacin HCl-Loaded Chitosan Nanoparticles Using Box-Behnken Experimental Design.

ABSTRACT: Various chitosan (CS)-based nanoparticles (CS-NPs) of ciprofloxacin hydrochloride (CHCl) have been investigated for therapeutic delivery and to enhance antimicrobial efficacy. However, the Box-Behnken design (BBD)-supported statistical optimization of NPs of CHCl has not been performed in the literature. As a result, the goal of this study was to look into the key interactions and quadratic impacts of formulation variables on the performance of CHCl-CS-NPs in a systematic way. To optimize CHCl-loaded CS-NPs generated by the ionic gelation process, the response surface methodology (RSM) was used. The BBD was used with three factors on three levels and three replicas at the central point. Tripolyphosphate, CS concentrations, and ultrasonication energy were chosen as independent variables aft

SUBMITTER: Soliman NM 

PROVIDER: S-EPMC9321140 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature