An assay system for point-of-care diagnosis of tuberculosis using commercially manufactured PCB technology
An assay system for point-of-care diagnosis of tuberculosis using commercially manufactured PCB technology
Rapid advances in clinical technologies, detection sensitivity and analytical throughput have delivered a significant expansion in our knowledge of prognostic and diagnostic biomarkers in many common infectious diseases, such as Tuberculosis (TB). During the last decade, a significant number of approaches to TB diagnosis have been attempted at Point-of-Care (PoC), exploiting a large variation of techniques and materials. In this work, we describe an electronics-based Enzyme-Linked ImmunoSorbent Assay (eELISA), using a Lab-on-a-Printed Circuit Board (LoPCB) approach, for TB diagnosis based on cytokine detection. The test relies upon an electrochemical (amperometric) assay, comprising a high-precision bioinstrumentation board and amperometric sensors, produced exclusively using standard PCB manufacturing processes. Electrochemical detection uses standard Au and Ag electrodes together with a bespoke, low-power, multichannel, portable data-acquisition system. We demonstrate high-performance assay chemistry performed at microfluidic volumes on Au pads directly at the PCB surface with improved limit of detection (~10 pg/mL) over standard colorimetric ELISA methods. The assay has also been implemented in plasma, showing the utility of the system for medical applications. This work is a significant step towards the development of a low-cost, portable, high-precision diagnostic and monitoring technology, which once combined with appropriate PCB-based microfluidic networks will provide complete LoPCB platforms.
Evans, Daniel J.
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Papadimitriou, Konstantinos
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Greathead, Louise
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Vasilakis, Nikolaos-Sotirios
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Morgan, Hywel
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Prodromakis, Themistoklis
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6 April 2017
Evans, Daniel J.
331a6db3-9b2e-4659-80ce-ae8ae7ddc1b5
Papadimitriou, Konstantinos
c0535540-f862-41b1-9cf3-92b1f46a4145
Greathead, Louise
8a51de28-9494-480a-ae89-bb9280a2eb86
Vasilakis, Nikolaos-Sotirios
7b5d4280-8c8d-4e55-8d58-6a38ab5c0bb2
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Evans, Daniel J., Papadimitriou, Konstantinos, Greathead, Louise, Vasilakis, Nikolaos-Sotirios, Morgan, Hywel and Prodromakis, Themistoklis
(2017)
An assay system for point-of-care diagnosis of tuberculosis using commercially manufactured PCB technology.
Scientific Reports, 7, [685 (2017)].
(doi:10.1038/s41598-017-00783-8).
Abstract
Rapid advances in clinical technologies, detection sensitivity and analytical throughput have delivered a significant expansion in our knowledge of prognostic and diagnostic biomarkers in many common infectious diseases, such as Tuberculosis (TB). During the last decade, a significant number of approaches to TB diagnosis have been attempted at Point-of-Care (PoC), exploiting a large variation of techniques and materials. In this work, we describe an electronics-based Enzyme-Linked ImmunoSorbent Assay (eELISA), using a Lab-on-a-Printed Circuit Board (LoPCB) approach, for TB diagnosis based on cytokine detection. The test relies upon an electrochemical (amperometric) assay, comprising a high-precision bioinstrumentation board and amperometric sensors, produced exclusively using standard PCB manufacturing processes. Electrochemical detection uses standard Au and Ag electrodes together with a bespoke, low-power, multichannel, portable data-acquisition system. We demonstrate high-performance assay chemistry performed at microfluidic volumes on Au pads directly at the PCB surface with improved limit of detection (~10 pg/mL) over standard colorimetric ELISA methods. The assay has also been implemented in plasma, showing the utility of the system for medical applications. This work is a significant step towards the development of a low-cost, portable, high-precision diagnostic and monitoring technology, which once combined with appropriate PCB-based microfluidic networks will provide complete LoPCB platforms.
Text
eELISA_Assay_System_Evans_Soton_Pure
- Accepted Manuscript
More information
Accepted/In Press date: 13 March 2017
e-pub ahead of print date: 6 April 2017
Published date: 6 April 2017
Organisations:
Electronics & Computer Science, Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 407217
URI: http://eprints.soton.ac.uk/id/eprint/407217
ISSN: 2045-2322
PURE UUID: b722b268-62ce-4597-a445-5b3d2fcc10a3
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Date deposited: 01 Apr 2017 01:07
Last modified: 16 Mar 2024 05:11
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Contributors
Author:
Daniel J. Evans
Author:
Konstantinos Papadimitriou
Author:
Louise Greathead
Author:
Nikolaos-Sotirios Vasilakis
Author:
Hywel Morgan
Author:
Themistoklis Prodromakis
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