Angelines Gasser
A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing
Gasser, Angelines; Eveness, John; Kiely, Janice; Attwood, David; Luxton, Richard
Authors
John Eveness John.Eveness@uwe.ac.uk
Research Fellow in Sensory Technology
Janice Kiely Janice.Kiely@uwe.ac.uk
Professor in Bio-electronics/Res In CoDi
David Attwood David.Attwood@uwe.ac.uk
Associate Professor in Biosensing Systems
Richard Luxton Richard.Luxton@uwe.ac.uk
Research Centre Director-IBST/Professor
Abstract
© 2019 We report on a novel impedance spectroscopy measurement and data analysis technique for cytotoxicity testing. The technique combines non-contact measurement with real-time impedance data analysis based on the toxin dose dependency of the outputs, making it suitable for high throughput screening. A multi-electrode array was designed and fabricated such that a standard well plate could be positioned above the electrodes, negating the requirement for bespoke culture wells with integrated electrodes. For cytotoxicity testing, endothelial cells, type ECV304, within the wells were exposed to various concentrations of 3 toxins, dimethyl sulphoxide, cadmium chloride and saponin, which exhibit different modes of action on cells. Impedance spectra were recorded every 30 min over a 24 h period. From the spectra ‘toxin maps’ were produced which presented the correlation between impedance output and dose of toxin versus frequency and time. The results demonstrated characteristic toxin maps for each toxin and significantly differences between the three toxins studied. Using complementary measurement methods, we showed that these differences in toxin maps related to morphological and physiological changes in the cells due to the differing mode of action of each toxin.
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 16, 2019 |
Online Publication Date | Jan 7, 2020 |
Publication Date | Jun 1, 2020 |
Deposit Date | Jan 27, 2020 |
Publicly Available Date | Jan 8, 2021 |
Journal | Bioelectrochemistry |
Print ISSN | 1567-5394 |
Electronic ISSN | 1878-562X |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 133 |
Pages | 107448 |
DOI | https://doi.org/10.1016/j.bioelechem.2019.107448 |
Keywords | Physical and Theoretical Chemistry; Biophysics; Electrochemistry; General Medicine |
Public URL | https://uwe-repository.worktribe.com/output/5251544 |
Additional Information | This article is maintained by: Elsevier; Article Title: A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing; Journal Title: Bioelectrochemistry; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.bioelechem.2019.107448; Content Type: article; Copyright: © 2019 Published by Elsevier B.V. |
Files
A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing.
(1.4 Mb)
PDF
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
This is the author’s accepted manuscript. The published version can be found on the publishers website here: https://doi.org/10.1016/j.bioelechem.2019.107448
You might also like
Equivalent circuit model of a non-faradaic impedimetric ZnO nano-crystal biosensor
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search