Development and Optimization of Inhalable Levofloxacin Nanoparticles for The Treatment of Tuberculosis

Author(s): Sunny Shah*, Rohit Ghetiya, Moinuddin Soniwala, Jayant Chavda

Journal Name: Current Drug Delivery

Volume 18 , Issue 6 , 2021


Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Abstract:

Background: Levofloxacin has been recommended by the WHO for the treatment of pulmonary tuberculosis and inhalable delivery of levofloxacin can be advantageous over conventional delivery.

Objective: This study aimed to develop and optimize inhalable levofloxacin Loaded Chitosan Nanoparticles (LCN). The objective was to achieve the mean particle size of LCN less than 300nm, sustain the drug release up to 24 h, and achieve MMAD of LCN of less than 5μm.

Methods: LCN were prepared by ionic gelation of chitosan with sodium tripolyphosphate (STPP) and subsequent lyophilization. A Plackett Burman screening design, 32 full factorial design, and overlay plots were sequentially employed to optimize the formulation. The mean particle size, % entrapment efficiency, in vitro drug release, and minimum inhibitory concentration were all evaluated.

Results: The Pareto chart from the Placket Burman screening design revealed that the concentrations of chitosan and STPP was found to be significant (p < 0.05). Further analysis by 32 full factorial design revealed that F-ratio for each model generated was found to be greater than the theoretical value (p < 0.05), confirming the significance of each model.

Conclusion: The optimized formulation showed a mean particle size of 171.5 nm, sustained the drug release up to 24 h in simulated lung fluid, and revealed MMAD of 3.18 μm, which can confirm delivery of the drug to the deep lung region. However, further in vivo studies are required to design a suitable dosage regimen and establish the fate of nanoparticles for safe and efficacious delivery of the drug.

Keywords: Levofloxacin, chitosan nanoparticles, pulmonary delivery, plackett burman screening design, minimum inhibitory concentration, optimization.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 18
ISSUE: 6
Year: 2021
Published on: 03 November, 2020
Page: [779 - 793]
Pages: 15
DOI: 10.2174/1567201817999201103194626
Price: $65

Article Metrics

PDF: 150