Literature DB >> 33341435

Separation and characterization of liposomes using asymmetric flow field-flow fractionation with online multi-angle light scattering detection.

Ángela Écija-Arenas1, Vanesa Román-Pizarro1, Juan Manuel Fernández-Romero2.   

Abstract

Liposomes, mainly formed by phospholipids and cholesterol that entrapped different compounds, were separated and characterized using asymmetric flow field-flow fractionation (AF4) coupled with a multi-angle light scattering detector (MALS). AF4 allows the separation of liposomes according to their hydrodynamic size, and the particle size can be estimated directly by their elution time. Besides, different synthesized liposome suspensions of liposomes with different species encapsulated in different places in liposomes were prepared with analytical purposes to be studied. These liposomes were: empty liposomes (e-Ls), magnetoliposomes (MLs) with Fe3O4@AuNPs-C12SH inside the lipid bilayer, and long-wavelength fluorophores encapsulated into the aqueous cavity of liposomes (Ls-LWF). The optimization process of the variables that affect the fractionation has been established. The separation effectiveness has been compared with the results achieved with a photon-correlation spectroscopy analyzer based on dynamic light scattering (DLS) and transmission electron microscopy (TEM), used in self-assembly structures characterization. In all cases, three different classes of liposomes have been obtained; two are commonly appaired in all studied samples, while only a third class is characteristic for each of the liposomes. This mean that the proposed methodology could be used for identifying liposomes according to the encapsulated material.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Asymmetrical flow field-flow fractionation (AF4); DLS and TEM comparison; Liposomes; Multi-angle light scattering detector (MALS); Online detection; Particle size distribution

Year:  2020        PMID: 33341435     DOI: 10.1016/j.chroma.2020.461798

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  1 in total

1.  Total RNA nonlinear polarization: towards facile early diagnosis of breast cancer.

Authors:  Yasser H El-Sharkawy; Sherif Elbasuney; Sara M Radwan; Mostafa A Askar; Gharieb S El-Sayyad
Journal:  RSC Adv       Date:  2021-10-11       Impact factor: 4.036

  1 in total

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