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

Area of Science:

• Nanotechnology
• Pharmaceutical Sciences
• Materials Science

Background:

• Chitosan nanoparticles (CS-NPs) offer potential for enhanced drug delivery.
• Ciprofloxacin hydrochloride (CHCl) is an important antibiotic.
• Statistical optimization of CHCl-loaded CS-NPs using Box-Behnken design (BBD) has not been previously reported.

Purpose of the Study:

• To systematically investigate formulation variables impacting CHCl-loaded CS-NPs performance.
• To optimize CHCl-loaded CS-NPs using response surface methodology (RSM) and BBD.
• To evaluate the antimicrobial efficacy of optimized CS-NPs.

Main Methods:

• Response surface methodology (RSM) with Box-Behnken design (BBD) was employed for optimization.
• Independent variables included tripolyphosphate, CS concentrations, and ultrasonication energy.
• Dependent responses measured were particle size (PS), polydispersity index (PDI), zeta potential (ZP), encapsulation efficiency (EE), and in vitro release.

Main Results:

• Optimized CS-NPs exhibited particle sizes in the range of 198-304 nm and ZP of 27-42 mV.
• Encapsulation efficiency (EE) and drug release ranged from 23-45% and 36-61%, respectively.
• The optimized formulation demonstrated a 4-fold decrease in minimum inhibitory concentration (MIC) compared to pure CHCl against tested bacteria.

Conclusions:

• Box-Behnken design (BBD) effectively optimized CHCl-loaded CS-NPs.
• The optimized CS-NPs showed significantly enhanced antimicrobial activity.
• This approach offers a time- and labor-efficient method for nanoparticle optimization.