Characterisation of niosome nanoparticles prepared by microfluidic mixing for drug delivery

Obeid, Mohammad A. and Khadra, Ibrahim and A.A. Aljabali, Alaa and Amawi, Haneen and Ferro, Valerie A. (2022) Characterisation of niosome nanoparticles prepared by microfluidic mixing for drug delivery. International Journal of Pharmaceutics: X, 4. 100137. ISSN 2590-1567 (https://doi.org/10.1016/j.ijpx.2022.100137)

[thumbnail of Obeid-etal-IJPX-2022-Characterisation-of-niosome-nanoparticles-prepared-by-microfluidic-mixing-for-drug-delivery]
Preview
Text. Filename: Obeid_etal_IJPX_2022_Characterisation_of_niosome_nanoparticles_prepared_by_microfluidic_mixing_for_drug_delivery.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (1MB)| Preview

Abstract

Lipid nanoparticles have gained much attention due to their potential as drug delivery systems. They are safe, effective, and be targeted to particular tissues to deliver their payload. Niosomes are one type of lipid nanoparticles that comprise non-ionic surfactants which have proven to be effective due to their stability and biocompatibility. Different manufacturing processes have been reported for niosome preparation, but many of them are not scalable or reproducible for pharmaceutical use. In this study, microfluidic mixing was used to prepare niosomes with different lipid compositions by changing the type of non-ionic surfactant. Niosomes were evaluated for their physicochemical characteristics, morphology, encapsulation efficacy, release profiles of atenolol as a model hydrophilic compound, and cytotoxic activities. Microfluidic mixing allows for particle self-assembly and drug loading in a single step, without the need for post-preparation size reduction. Depending on the lipid composition, the empty particles were

ORCID iDs

Obeid, Mohammad A. ORCID logoORCID: https://orcid.org/0000-0003-0244-8370, Khadra, Ibrahim ORCID logoORCID: https://orcid.org/0000-0002-9846-1520, A.A. Aljabali, Alaa, Amawi, Haneen and Ferro, Valerie A. ORCID logoORCID: https://orcid.org/0000-0003-1967-3603;