Stiffness measurement of nanosized liposomes using solid-state nanopore sensor with automated recapturing platform.


Journal

Electrophoresis
ISSN: 1522-2683
Titre abrégé: Electrophoresis
Pays: Germany
ID NLM: 8204476

Informations de publication

Date de publication:
05 2019
Historique:
received: 13 11 2018
revised: 21 12 2018
accepted: 07 01 2019
pubmed: 23 1 2019
medline: 11 1 2020
entrez: 23 1 2019
Statut: ppublish

Résumé

This paper describes a method to gauge the stiffness of nanosized liposomes - a nanoscale vesicle - using a custom-made recapture platform coupled to a solid-state nanopore sensor. The recapture platform electrically profiles a given liposome vesicle multiple times through automated reversal of the voltage polarity immediately following a translocation instance to re-translocate the same analyte through the nanopore - provides better statistical insight at the molecular level by analyzing the same particle multiple times compared to conventional nanopore platforms. The capture frequency depends on the applied voltage with lower voltages (i.e., 100 mV) permitting higher recapture instances than at higher voltages (>200 mV) since the probability of particles exiting the nanopore capture radius increases with voltage. The shape deformation was inferred by comparing the normalized relative current blockade (

Identifiants

pubmed: 30667089
doi: 10.1002/elps.201800476
doi:

Substances chimiques

Liposomes 0
Polystyrenes 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1337-1344

Subventions

Organisme : National Institute of Health
ID : R03EB022759
Pays : International
Organisme : National Science Foundation
ID : CMMI #1712069
Pays : International

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Jung Soo Lee (JS)

Department of Mechanical Engineering, Lyle School of Engineering, Southern Methodist University, Dallas, Texas, USA.

Jugal Saharia (J)

Department of Mechanical Engineering, Lyle School of Engineering, Southern Methodist University, Dallas, Texas, USA.

Y M Nuwan D Y Bandara (YMNDY)

Department of Mechanical Engineering, Lyle School of Engineering, Southern Methodist University, Dallas, Texas, USA.

Buddini Iroshika Karawdeniya (BI)

Department of Mechanical Engineering, Lyle School of Engineering, Southern Methodist University, Dallas, Texas, USA.

Gaurav Goyal (G)

Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Armin Darvish (A)

Quantapore Inc., Menlo Park, CA, USA.

Qingxiao Wang (Q)

Department of Materials Science and Engineering, The University of Texas at Dallas, Richardson, Texas, USA.

Moon J Kim (MJ)

Department of Materials Science and Engineering, The University of Texas at Dallas, Richardson, Texas, USA.

Min Jun Kim (MJ)

Department of Mechanical Engineering, Lyle School of Engineering, Southern Methodist University, Dallas, Texas, USA.

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Classifications MeSH