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Comparison and process optimisation of PLGA, chitosan and silica nanoparticles for potential oral vaccine delivery

Comparison and process optimisation of PLGA, chitosan and silica nanoparticles for potential oral vaccine delivery

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)

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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 / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Science (SCI)
Last Modified: 31 Oct 2019 09:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25093

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