Ultra-low noise PEDOT:PSS electrodes on bacterial cellulose: A sensor to access bioelectrical signals in non-electrogenic cells
authors Inacio, PMC; Medeiros, MCR; Carvalho, T; Felix, RC; Mestre, A; Hubbard, PC; Ferreira, Q; Morgado, J; Charas, A; Freire, CSR; Biscarini, F; Power, DM; Gomes, HL
nationality International
journal ORGANIC ELECTRONICS
author keywords PEDOT:PSS; Printed electronics; Bacterial cellulose; Extra-cellular electrodes; Non-excitable cells
keywords CONDUCTING POLYMERS; MEMBRANES; CALCIUM; DELIVERY; TRANSISTOR; NETWORKS
abstract This study is focused on the particular advantages of organic-based devices to measure cells that do not generate action potentials, also known as non-electrogenic cells. While there is a vast literature about the application of organic conductors to measure neurons, cardiomyocytes and brain tissues, electrical measurements of non-electrogenic cells are rare. This is because non-electrogenic cells generate weak signals with frequencies below 1 Hz. Designing low noise devices in a millihertz frequency range is extremely challenging due to the intrinsic thermal and 1/f type noise generated by the sensing electrode. Here, we demonstrate that the coating of cellulose nanofibers with conducting PEDOT:PSS ink allows the fabrication of a nanostructured surface that establishes a low electrical double-layer resistance with liquid solutions. The low interfacial resistance combined with the large effective sensing area of PEDOT:PSS electrodes minimizes the thermal noise and lowers the amplitude detection limit of the sensor. The electrode noise decreases with frequency from 548 nV r.m.s at 0.1 Hz to a minimum of 6 nV r.m.s for frequencies higher than 100 Hz. This low noise makes it possible to measure low frequency bioelectrical communication signals, typical of non-electrogenic cells, that have until now been difficult to explore using metallic-based microelectrode arrays. The performance of the PEDOT:PSS-based electrodes is demonstrated by recording signals generated by populations of glioma cells with a signal-to-noise ratio as high as 140.
publisher ELSEVIER
issn 1566-1199
isbn 1878-5530
year published 2020
volume 85
digital object identifier (doi) 10.1016/j.orgel.2020.105882
web of science category Materials Science, Multidisciplinary; Physics, Applied
subject category Materials Science; Physics
unique article identifier WOS:000560061800008
  impact metrics
journal analysis (jcr 2019):
journal impact factor 3.31
5 year journal impact factor 3.041
category normalized journal impact factor percentile 67.663
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