Fast and Purification-Free Characterization of Bio-Nanoparticles in Biological Media by Electrical Asymmetrical Flow Field-Flow Fractionation Hyphenated with Multi-Angle Light Scattering and Nanoparticle Tracking Analysis Detection.


Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
14 Oct 2020
Historique:
received: 21 09 2020
revised: 08 10 2020
accepted: 12 10 2020
entrez: 17 10 2020
pubmed: 18 10 2020
medline: 1 5 2021
Statut: epublish

Résumé

Accurate physico-chemical characterization of exosomes and liposomes in biological media is challenging due to the inherent complexity of the sample matrix. An appropriate purification step can significantly reduce matrix interferences, and thus facilitate analysis of such demanding samples. Electrical Asymmetrical Flow Field-Flow Fractionation (EAF4) provides online sample purification while simultaneously enabling access to size and Zeta potential of sample constituents in the size range of approx. 1-1000 nm. Hyphenation of EAF4 with Multi-Angle Light Scattering (MALS) and Nanoparticle Tracking Analysis (NTA) detection adds high resolution size and number concentration information turning this setup into a powerful analytical platform for the comprehensive physico-chemical characterization of such challenging samples. We here present EAF4-MALS hyphenated with NTA for the analysis of liposomes and exosomes in complex, biological media. Coupling of the two systems was realized using a flow splitter to deliver the sample at an appropriate flow speed for the NTA measurement. After a proof-of-concept study using polystyrene nanoparticles, the combined setup was successfully applied to analyze liposomes and exosomes spiked into cell culture medium and rabbit serum, respectively. Obtained results highlight the benefits of the EAF4-MALS-NTA platform to study the behavior of these promising drug delivery vesicles under in vivo like conditions.

Identifiants

pubmed: 33066514
pii: molecules25204703
doi: 10.3390/molecules25204703
pmc: PMC7587377
pii:
doi:

Substances chimiques

Culture Media 0
Liposomes 0
Polystyrenes 0
liposomal doxorubicin 0
Polyethylene Glycols 3WJQ0SDW1A
Doxorubicin 80168379AG

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Horizon 2020 Framework Programme
ID : 720952

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Auteurs

Roland Drexel (R)

Postnova Analytics GmbH, Max-Planck-Straße 14, 86899 Landsberg, Germany.

Agnieszka Siupa (A)

Malvern Panalytical Ltd., Grovewood Road, Malvern, Worcestershire WR14 1XZ, UK.

Pauline Carnell-Morris (P)

Malvern Panalytical Ltd., Grovewood Road, Malvern, Worcestershire WR14 1XZ, UK.

Michele Carboni (M)

Malvern Panalytical Ltd., Grovewood Road, Malvern, Worcestershire WR14 1XZ, UK.

Jo Sullivan (J)

Malvern Panalytical Ltd., Grovewood Road, Malvern, Worcestershire WR14 1XZ, UK.

Florian Meier (F)

Postnova Analytics GmbH, Max-Planck-Straße 14, 86899 Landsberg, Germany.

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Classifications MeSH