Amin, Muhammad K. and Boateng, Joshua S. ORCID: 0000-0002-6310-729X (2019) Comparison and process optimisation of PLGA, chitosan and silica nanoparticles for potential oral vaccine delivery. Therapeutic Delivery, 10 (8). ISSN 2041-5990 (Print), 2041-6008 (Online) (doi:https://doi.org/10.4155/tde-2019-0038)

Preview

PDF (Author Accepted Manuscript) 25093 BOATENG_Comparison_and_Process_Optimisation_of PLGA_Chitosan and_Silica_Nanoparticles_2019.pdf - Accepted Version Download (1MB) | Preview

Abstract

Aims:
The study compared performance of nanoparticles from synthetic organic, natural organic and inorganic materials as vaccine delivery platforms.

Methods:
Various formulation (concentration, polymer/silica: surfactant ratio, solvent) and process parameters (homogenization speed and time, ultra-sonication) affecting functional performance characteristics of poly(lactic-co-glycolic acid) (PLGA), chitosan and silica based nanoparticles containing bovine serum albumin were investigated. Nanoparticles were characterised using dynamic light scattering, X-ray diffraction, scanning/transmission electron microscopy, Fourier transform infrared spectroscopy and in vitro protein release.

Results:
Critical formulation parameters were surfactant concentration (PLGA, silica) and polymer concentration (chitosan). Optimised nanoparticles were spherical in shape with narrow size distribution and size ranges of 100-300 nm (blank) and 150-400 nm (protein loaded). Protein encapsulation efficiency was 26-75% and released within 48 hours in a sustained manner.

Conclusion:
Critical formulation and process parameters affected size of PLGA, chitosan and silica nanoparticles and protein encapsulation, whilst silica produced the smallest and most stable nanoparticles.

Item Type:	Article
Uncontrolled Keywords:	Bovine serum albumin; Chitosan; Nanoparticles; Oral Vaccination; poly(lactic-co-glycolic acid); Process Optimization; Protein Delivery; Silica
Subjects:	Q Science > QC Physics Q Science > QD Chemistry
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Science (SCI)
Last Modified:	09 Sep 2020 01:38
URI:	http://gala.gre.ac.uk/id/eprint/25093

Actions (login required)

View Item

Downloads