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Rapid prototyping Lab-on-Chip devices for the future: a numerical optimisation of bulk optical parameters in microfluidic systems

Rapid prototyping Lab-on-Chip devices for the future: a numerical optimisation of bulk optical parameters in microfluidic systems
Rapid prototyping Lab-on-Chip devices for the future: a numerical optimisation of bulk optical parameters in microfluidic systems
Nuclear reactor process control is typically monitored for pure β-emitting radionuclides via manual sampling followed by laboratory analysis, leading to delays in data availability and response times. The development of an in situ microfluidic Lab on Chip (LoC) system with integrated detection capable of measuring pure β-emitting radionuclides presents a promising solution, enabling a reduction in occupational exposure and cost of monitoring whilst providing improved temporal resolution through near real-time data acquisition. However, testing prototypes with radioactive sources is time-consuming, requires specialist facilities/equipment, generates contaminated waste, and cannot rapidly evaluate a wide range of designs or configurations. Despite this, modelling multiple design parameters and testing their impact on detection with non-radioactive substitutes has yet to be adopted as best practice. The measurement of pure β emitters in aqueous media relies on the efficient transport of photons generated by the Cherenkov effect or liquid scintillators to the detector. Here we explore the role of numerical modelling to assess the impact of optical cell geometry and design on photon transmission and detection through the microfluidic system, facilitating improved designs to realise better efficiency of integrated detectors and overall platform design. Our results demonstrate that theoretical modelling and an experimental evaluation using non-radiogenic chemiluminescence are viable for system testing design parameters and their impact on photon transport. These approaches enable reduced material consumption and requirement for specialist facilities for handling radioactive materials during the prototyping process. This method establishes proof of concept and the first step towards numerical modelling approaches for the design optimisation of microfluidic LoC systems with integrated detectors for the measurement of pure β emitting radionuclides via scintillation-based detection.
Global warming, Lab on Chip, Nuclear industry, Optical modelling, Radionuclides, Ray tracing
0924-4247
Lu, Sarah E.
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Morris, Andrew
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Clinton-Bailey, Geraldine
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Namiq, Medya
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Gow, Paul C.
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Birchill, Antony
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Steigenberger, Sebastian
578ce9c1-b74a-4a8a-8ea5-96a829e685ba
Wyatt, James
81279149-74de-4c49-a4e5-e3fe8a952eba
Forrester, Reuben
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Mowlem, Matthew C.
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Warwick, Phillip E.
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Lu, Sarah E.
a1840c37-f695-4b03-a6c5-398f1ce5974c
Morris, Andrew
00ef3bfb-219c-4ea7-86d2-dd4d71c083a6
Clinton-Bailey, Geraldine
b1c0cbd2-32a3-4280-b097-28b596e3c117
Namiq, Medya
4c1f64fc-8a98-496c-bd0a-63a6a92cbe84
Gow, Paul C.
193394b1-fe2d-41de-a9aa-6de7e5925b18
Birchill, Antony
11a92e59-432d-466e-b8a4-a91bd4d3da65
Steigenberger, Sebastian
578ce9c1-b74a-4a8a-8ea5-96a829e685ba
Wyatt, James
81279149-74de-4c49-a4e5-e3fe8a952eba
Forrester, Reuben
865bd0fd-ae44-472c-9115-e8a18288bf9a
Mowlem, Matthew C.
6f633ca2-298f-48ee-a025-ce52dd62124f
Warwick, Phillip E.
f2675d83-eee2-40c5-b53d-fbe437f401ef

Lu, Sarah E., Morris, Andrew, Clinton-Bailey, Geraldine, Namiq, Medya, Gow, Paul C., Birchill, Antony, Steigenberger, Sebastian, Wyatt, James, Forrester, Reuben, Mowlem, Matthew C. and Warwick, Phillip E. (2023) Rapid prototyping Lab-on-Chip devices for the future: a numerical optimisation of bulk optical parameters in microfluidic systems. Sensors and Actuators A: Physical, 359, [114496]. (doi:10.1016/j.sna.2023.114496).

Record type: Article

Abstract

Nuclear reactor process control is typically monitored for pure β-emitting radionuclides via manual sampling followed by laboratory analysis, leading to delays in data availability and response times. The development of an in situ microfluidic Lab on Chip (LoC) system with integrated detection capable of measuring pure β-emitting radionuclides presents a promising solution, enabling a reduction in occupational exposure and cost of monitoring whilst providing improved temporal resolution through near real-time data acquisition. However, testing prototypes with radioactive sources is time-consuming, requires specialist facilities/equipment, generates contaminated waste, and cannot rapidly evaluate a wide range of designs or configurations. Despite this, modelling multiple design parameters and testing their impact on detection with non-radioactive substitutes has yet to be adopted as best practice. The measurement of pure β emitters in aqueous media relies on the efficient transport of photons generated by the Cherenkov effect or liquid scintillators to the detector. Here we explore the role of numerical modelling to assess the impact of optical cell geometry and design on photon transmission and detection through the microfluidic system, facilitating improved designs to realise better efficiency of integrated detectors and overall platform design. Our results demonstrate that theoretical modelling and an experimental evaluation using non-radiogenic chemiluminescence are viable for system testing design parameters and their impact on photon transport. These approaches enable reduced material consumption and requirement for specialist facilities for handling radioactive materials during the prototyping process. This method establishes proof of concept and the first step towards numerical modelling approaches for the design optimisation of microfluidic LoC systems with integrated detectors for the measurement of pure β emitting radionuclides via scintillation-based detection.

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Accepted/In Press date: 13 June 2023
e-pub ahead of print date: 14 June 2023
Published date: 1 September 2023
Additional Information: Funding Information: This work was supported by the Natural Environmental Research Council [grant number NE/N012070/1 ]. Publisher Copyright: © 2023 The Authors
Keywords: Global warming, Lab on Chip, Nuclear industry, Optical modelling, Radionuclides, Ray tracing

Identifiers

Local EPrints ID: 483824
URI: http://eprints.soton.ac.uk/id/eprint/483824
ISSN: 0924-4247
PURE UUID: 70ec7807-74af-42ee-8f5f-c6af21321323
ORCID for Sarah E. Lu: ORCID iD orcid.org/0000-0003-0771-0454
ORCID for Paul C. Gow: ORCID iD orcid.org/0000-0002-3247-9082
ORCID for Matthew C. Mowlem: ORCID iD orcid.org/0000-0001-7613-6121
ORCID for Phillip E. Warwick: ORCID iD orcid.org/0000-0001-8774-5125

Catalogue record

Date deposited: 06 Nov 2023 18:18
Last modified: 18 Mar 2024 03:42

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Contributors

Author: Sarah E. Lu ORCID iD
Author: Andrew Morris
Author: Geraldine Clinton-Bailey
Author: Medya Namiq
Author: Paul C. Gow ORCID iD
Author: Antony Birchill
Author: Sebastian Steigenberger
Author: James Wyatt
Author: Reuben Forrester
Author: Matthew C. Mowlem ORCID iD

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