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Towards smartphone-aided electrochemical detection for point-of-care diagnostics

Towards smartphone-aided electrochemical detection for point-of-care diagnostics
Towards smartphone-aided electrochemical detection for point-of-care diagnostics
A novel portable amperometric bio-instrumentation platform that utilises the processing power of a smartphone is developed. The system rapidly reports the results of electrochemical measurement and requires small sample volumes (<15 µl). This diagnostic platform can be beneficial in developing countries, where there is limited access to medical centres. This lab-on-PCB system exploits commercial PCB manufacturing processes to make the system inexpensive. The electronic readout board connects to an Android-based smartphone for data processing and acts as a power source for the instrumentation. The results of the electrochemical reactions are reported through a simple to use, custom designed App. The electronic instrumentation platform has a wide dynamic range, measuring currents with a range of few nA to +2.5mA, allowing it to be able to reliably measure a wide range of electrochemical reactions. An automatic range-adjustment system is also implemented to adjust the input signal range maintain a high resolution in the system (122 pA resolution for input current range +/- 2.5 µA). This automatic algorithm provides better results in comparison to the constant range measurements. Furthermore, different sensing designs are performed investigating the effect of electrode’s design and size on the system’s sensitivity and accuracy. Finally, the system is evaluated using NaCl, H2O2 and an enzymatic assay: horseradish peroxidase acting on the substrate TMB (a common reporter for ELISA colorimetric detection) in the presence of H2O2. Results show that the amperometric data correlate well with the colorimetric for the above reaction. The promising results encourage further development of the system by adding a more complicated microfluidic design and detecting the concentration of the IFN-γ into solution.
University of Southampton
Pechlivanidis, Nikolaos
08290253-aa32-4e69-bf2c-f007bafd57c4
Pechlivanidis, Nikolaos
08290253-aa32-4e69-bf2c-f007bafd57c4
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174

Pechlivanidis, Nikolaos (2020) Towards smartphone-aided electrochemical detection for point-of-care diagnostics. Masters Thesis, 114pp.

Record type: Thesis (Masters)

Abstract

A novel portable amperometric bio-instrumentation platform that utilises the processing power of a smartphone is developed. The system rapidly reports the results of electrochemical measurement and requires small sample volumes (<15 µl). This diagnostic platform can be beneficial in developing countries, where there is limited access to medical centres. This lab-on-PCB system exploits commercial PCB manufacturing processes to make the system inexpensive. The electronic readout board connects to an Android-based smartphone for data processing and acts as a power source for the instrumentation. The results of the electrochemical reactions are reported through a simple to use, custom designed App. The electronic instrumentation platform has a wide dynamic range, measuring currents with a range of few nA to +2.5mA, allowing it to be able to reliably measure a wide range of electrochemical reactions. An automatic range-adjustment system is also implemented to adjust the input signal range maintain a high resolution in the system (122 pA resolution for input current range +/- 2.5 µA). This automatic algorithm provides better results in comparison to the constant range measurements. Furthermore, different sensing designs are performed investigating the effect of electrode’s design and size on the system’s sensitivity and accuracy. Finally, the system is evaluated using NaCl, H2O2 and an enzymatic assay: horseradish peroxidase acting on the substrate TMB (a common reporter for ELISA colorimetric detection) in the presence of H2O2. Results show that the amperometric data correlate well with the colorimetric for the above reaction. The promising results encourage further development of the system by adding a more complicated microfluidic design and detecting the concentration of the IFN-γ into solution.

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Published date: 2020

Identifiers

Local EPrints ID: 453035
URI: http://eprints.soton.ac.uk/id/eprint/453035
PURE UUID: e5d18d0c-e004-403c-a995-a68fd979a81d
ORCID for Hywel Morgan: ORCID iD orcid.org/0000-0003-4850-5676

Catalogue record

Date deposited: 07 Jan 2022 17:42
Last modified: 17 Mar 2024 02:58

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Contributors

Author: Nikolaos Pechlivanidis
Thesis advisor: Hywel Morgan ORCID iD

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