A label-free and low-power microelectronic impedance spectroscopy for characterization of exosomes.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 23 11 2021
accepted: 20 06 2022
entrez: 8 7 2022
pubmed: 9 7 2022
medline: 14 7 2022
Statut: epublish

Résumé

Electrical Impedance Spectroscopy (EIS) is a non-invasive and label-free technology that can characterize and discriminate cells based on their dielectric properties at a wide range of frequency. This characterization method has not been utilized for small extracellular vesicles (exosomes) with heterogenous and nano-scale size distribution. Here, we developed a novel label-free microelectronic impedance spectroscopy for non-invasive and rapid characterization of exosomes based on their unique dielectric properties. The device is comprised of an insulator-based dielectrophoretic (iDEP) module for exosomes isolation followed by an impedance spectroscopy utilizing the embedded micro-electrodes. This device is capable of distinguishing between exosomes harvested from different cellular origins as the result of their unique membrane and cytosolic compositions at a wide range of frequency. Therefore, it has the potential to be further evolved as a rapid tool for characterization of pathogenic exosomes in clinical settings.

Identifiants

pubmed: 35802670
doi: 10.1371/journal.pone.0270844
pii: PONE-D-21-37084
pmc: PMC9269907
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0270844

Déclaration de conflit d'intérêts

The Authors have declared that no competing interests exist.

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Auteurs

Leilei Shi (L)

School of Arts and Sciences, Carolina University, Winston-Salem, North Carolina, United States of America.

Leyla Esfandiari (L)

Department of Biomedical Engineering, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, Ohio, United States of America.
Department of Electrical Engineering and Computer Science, College of Engineering and Applied Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America.
Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, Ohio, United States of America.

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Classifications MeSH