Preparation of Chitosan Okra Nanoparticles: Optimization and Evaluation as Mucoadhesive Drug Delivery System

Author(s): Vivekjot Brar, Gurpreet Kaur*.

Journal Name: Pharmaceutical Nanotechnology

Volume 6 , Issue 3 , 2018

Become EABM
Become Reviewer

Graphical Abstract:


Abstract:

Objective: To prepare chitosan-okra gum nanoparticles and their evaluation as mucoadhesive drug delivery system for intranasal delivery of esculin.

Method: Esculin loaded chitosan-okra gum based nanoparticles were prepared using ionic gelation method. The preparation method was optimized using Box-Behnken experimental design employing okra gum concentration, chitosan concentration, pH and stirring speed as independent variables and particle size, encapsulation efficiency and zeta potential of the formulation were selected as dependent variables. The optimized formulation was characterized using FTIR, SEM and TEM. The nanoparticles were evaluated for their bioadhesive strength and in vitro drug release studies. The optimized intranasal formulation was administered to rats and the pharmacokinetic profile and biodistribution studies were carried out to calculate the targeting efficiency of the formulation in the brain.

Results: The nanoparticles were found to depict particle size in the range of 294.0 to 613.4 nm. The concentration of gums was found to significantly influence the particle size and encapsulation efficiency. The nanoparticles depicted bioadhesive strength of 32±2%. The in vitro drug release studies showed 96.4±4.2% release of esculin from nanoparticles in 4h. The drug targeting of NPs to brain was found to be nearly double that of esculin given as simple solution.

Conclusion: The nanoparticles prepared using chitosan-okra gum were found to possess good mucoadhesive strength with and high brain targeting efficiency.

Keywords: Box behnken, brain targeting, chitosan, mucoadhesion, nanoparticles, okra, polyelectrolyte complexes.

Rights & PermissionsPrintExport Cite as


Article Details

VOLUME: 6
ISSUE: 3
Year: 2018
Page: [180 - 191]
Pages: 12
DOI: 10.2174/2211738506666180813122437
Price: $58

Article Metrics

PDF: 18
HTML: 1