Monitoring PSA levels as chemical state-variables in metal-oxide memristors
Monitoring PSA levels as chemical state-variables in metal-oxide memristors
Medical interventions increasingly rely on biosensors that can provide reliable quantitative information. A longstanding bottleneck in realizing this, is various non-idealities that generate offsets and variable responses across sensors. Current mitigation strategies involve the calibration of sensors, performed in software or via auxiliary compensation circuitry thus constraining real-time operation and integration efforts. Here, we show that bio-functionalized metal-oxide memristors can be utilized for directly transducing biomarker concentration levels to discrete memory states. The introduced chemical state-variable is found to be dependent on the devices’ initial resistance, with its response to chemical stimuli being more pronounced for higher resistive states. We leverage this attribute along with memristors’ inherent state programmability for calibrating a biosensing array to render a homogeneous response across all cells. Finally, we demonstrate the application of this technology in detecting Prostate Specific Antigen in clinically relevant levels (ng/ml), paving the way towards applications in large multi-panel assays.
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Stathopoulos, Spyros
98d12f06-ad01-4708-be19-a97282968ee6
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
17 September 2020
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Stathopoulos, Spyros
98d12f06-ad01-4708-be19-a97282968ee6
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Tzouvadaki, Ioulia, Stathopoulos, Spyros, Abbey, Thomas, Michalas, Loukas and Prodromakis, Themistoklis
(2020)
Monitoring PSA levels as chemical state-variables in metal-oxide memristors.
Scientific Reports, 10 (1), [15281].
(doi:10.1038/s41598-020-71962-3).
Abstract
Medical interventions increasingly rely on biosensors that can provide reliable quantitative information. A longstanding bottleneck in realizing this, is various non-idealities that generate offsets and variable responses across sensors. Current mitigation strategies involve the calibration of sensors, performed in software or via auxiliary compensation circuitry thus constraining real-time operation and integration efforts. Here, we show that bio-functionalized metal-oxide memristors can be utilized for directly transducing biomarker concentration levels to discrete memory states. The introduced chemical state-variable is found to be dependent on the devices’ initial resistance, with its response to chemical stimuli being more pronounced for higher resistive states. We leverage this attribute along with memristors’ inherent state programmability for calibrating a biosensing array to render a homogeneous response across all cells. Finally, we demonstrate the application of this technology in detecting Prostate Specific Antigen in clinically relevant levels (ng/ml), paving the way towards applications in large multi-panel assays.
This record has no associated files available for download.
More information
Accepted/In Press date: 17 August 2020
e-pub ahead of print date: 17 September 2020
Published date: 17 September 2020
Additional Information:
Funding Information:
We acknowledge the support of the European Commission Horizon 2020 Programme Marie Skłodowska-Curie Actions -MSCA-IF-EF-ST Project ‘NeMESIS’ (Grant No. 796366), the EPSRC Programme Grant (EP/R024642/1) and the Royal Society Industry Fellowship (IF160146).
Publisher Copyright:
© 2020, The Author(s).
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Identifiers
Local EPrints ID: 444831
URI: http://eprints.soton.ac.uk/id/eprint/444831
ISSN: 2045-2322
PURE UUID: aa2aacdd-d21d-4e24-b254-be1e14baeac1
Catalogue record
Date deposited: 06 Nov 2020 17:30
Last modified: 16 Mar 2024 09:01
Export record
Altmetrics
Contributors
Author:
Ioulia Tzouvadaki
Author:
Spyros Stathopoulos
Author:
Thomas Abbey
Author:
Loukas Michalas
Author:
Themistoklis Prodromakis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics