PEDOT:PSS organic electrochemical transistors for electrical cell-substrate impedance sensing down to single cells.


Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
15 May 2021
Historique:
received: 31 10 2020
revised: 06 02 2021
accepted: 15 02 2021
pubmed: 11 3 2021
medline: 15 5 2021
entrez: 10 3 2021
Statut: ppublish

Résumé

The adhesion of cells on organic electrochemical transistors (OECT) is investigated down to a single cell resolution using an impedimetric readout method of the transistors. For this purpose a fabrication protocol for micro-sized OECTs based on Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) was developed. OECTs with gate dimensions of 20 μm × 20 μm with cut-off frequencies up to 10 kHz at -3 dB were fabricated. Impedance spectra of the OECTs changed drastically when HEK 293 cells were adhered to the OECT gates. To confirm the single-cell sensitivity, individual cells were removed from the device surface with patch-clamp pipettes while impedance measurements were performed. In addition, the calcium chelator EGTA was used to demonstrate the reproducible activation and deactivation of tight gap junctions in Madin Darby Canine Kidney cells adhered on the OECT gates. We applied an analytical mathematical model combined with an electrically equivalent circuit model to describe the measured impedance spectra and to calculate the cell-related parameters of the adherent cells. The novel technique of impedimetric readout of OECTs for the detection of single cell adhesion offers various future applications.

Identifiants

pubmed: 33691239
pii: S0956-5663(21)00138-X
doi: 10.1016/j.bios.2021.113101
pii:
doi:

Substances chimiques

Bridged Bicyclo Compounds, Heterocyclic 0
Polymers 0
poly(3,4-ethylene dioxythiophene) 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113101

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Felix Hempel (F)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany.

Jessica Ka Yan Law (JKY)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany.

Thanh Chien Nguyen (TC)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany.

Ruben Lanche (R)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany.

Anna Susloparova (A)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany.

Xuan Thang Vu (XT)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany; Institute of Materials in Electrical Engineering 1, RWTH Aachen University, 52074, Aachen, Germany.

Sven Ingebrandt (S)

Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern, Campus Zweibruecken, 66482, Zweibruecken, Germany; Institute of Materials in Electrical Engineering 1, RWTH Aachen University, 52074, Aachen, Germany. Electronic address: ingebrandt@iwe1.rwth-aachen.de.

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Classifications MeSH