165
Views
15
CrossRef citations to date
0
Altmetric
Research Article

Development and evaluation of olmesartan medoxomil loaded PLGA nanoparticles

, , , , &
Pages 193-197 | Received 19 May 2015, Accepted 04 Jun 2015, Published online: 22 Apr 2016
 

Abstract

The purpose of the present study was to develop olmesartan medoxomil (OLM) loaded poly (d,l-lactide-co-glycolide) (PLGA) nanoparticles by nanoprecipitation technique. Olmesartan medoxomil nanoparticles (F1–F3) were prepared using PLGA as polymer and Pluronic acid 127 as a surfactant. Developed PLGA nanoparticles were evaluated for particle size, polydispersity index (PI), differential scanning calorimetry (DSC), Fourier transforms infrared (FTIR) spectroscopy, powder X-ray diffraction (XRD), scanning electron microscopy (SEM), drug entrapment efficiency (EE%) and in vitro drug release. Optimised PLGA nanoparticle (F3) had particle size of 97.8 ± 6.3 nm, EE of 58.33% and drug release of 37.1% after 24 h of study. SEM images confirmed that developed nanoparticles were spherical in shape with a smooth surface. DSC, FTIR, and XRD spectra indicated formation of PLGA nanoparticles. The results suggest that PLGA polymer-based nanoparticle could be a potential option for sustained drug delivery of OLM.

Acknowledgement

The authors are thankful to Department of Pharmaceutics, College of Pharmacy, Salman Abdulaziz University, Al-kharj, Saudi Arabia for providing essential facility in this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 286.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.