David Ferrier David.Ferrier@uwe.ac.uk
Research Fellow- Biosensing/ Health Technology
Cytochrome P450 2B6 amperometric biosensor for continuous monitoring of propofol
Ferrier, David; Kiely, Janice; Luxton, Richard
Authors
Janice Kiely Janice.Kiely@uwe.ac.uk
Professor in Bio-electronics/Res In CoDi
Richard Luxton Richard.Luxton@uwe.ac.uk
Research Centre Director-IBST/Professor
Abstract
Despite the growing evidence of improved patient outcomes and of a substantially reduced environmental impact of propofol-based total intravenous anesthesia when compared to volatile-based techniques, the vast majority of general anesthetics still use volatile agents for the maintenance phase. A significant reason for this is the lack of suitable point-of-care, real-time blood propofol measurement techniques. Here we present an enzyme-based electrochemical biosensor for the detection of propofol. Deactivated yeast cells expressing the enzyme cytochrome P450 2B6 are immobilized, alongside gold nanoparticles, within a chitosan film upon the surface of a screen printed electrode. In the presence of the cofactor NADPH, the enzyme converts propofol to a quinone/quinol redox pair that can be detected using simple electrochemistry. This approach avoids the issue of electrode fouling that commonly renders electrochemical propofol sensors impractical. The sensor has a limit of detection of 67 ± 7 ng/ml and a sensitivity of 4.2 ± 0.2 nA/μg/ml/mm2. It has been successfully demonstrated in a serum-like solution and has shown a linear response across the therapeutic range of propofol (1 – 10 μg/ml). Additionally, the sensor has shown good specificity with regards to potential interfering compounds.
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 10, 2021 |
Online Publication Date | Sep 13, 2021 |
Publication Date | Nov 1, 2021 |
Deposit Date | Sep 22, 2021 |
Publicly Available Date | Sep 22, 2021 |
Journal | IEEE Sensors Journal |
Print ISSN | 1530-437X |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Issue | 21 |
DOI | https://doi.org/10.1109/JSEN.2021.3112273 |
Public URL | https://uwe-repository.worktribe.com/output/7817070 |
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Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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