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Article

An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture

by
Wout Knoben
1,*,
Siegfried Graf
2,*,
Florian Borutta
3,
Zerihun Tegegne
4,
Michael Ningler
5,
Arthur Blom
1,
Henk Dam
1,
Kevin Evers
1,
Rens Schonenberg
1,
Anke Schütz-Trilling
1,
Janneke Veerbeek
1,
Roman Arnet
2,
Mark Fretz
2,
Vincent Revol
2,
Thomas Valentin
2,
Christopher R. Bridges
3,
Stephan K. Schulz
3,
Joost van Kerkhof
4,
Anne Leenstra
4,
Farid Orujov
4 and
Henk van Middendorp
1
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1
Surfix Diagnostics, Agro Business Park 2, 6708 PW Wageningen, The Netherlands
2
CSEM, Untere Gründlistrasse 1, 6055 Alpnach, Switzerland
3
TunaTech GmbH, Merowingerplatz 1A, 40225 Düsseldorf, Germany
4
PHIX Photonics Assembly, Hengelosestraat 525, 7521 AG Enschede, The Netherlands
5
LRE Medical GmbH, Georg-Brauchle-Ring 89, 80992 München, Germany
*
Authors to whom correspondence should be addressed.
Sensors 2024, 24(16), 5241; https://doi.org/10.3390/s24165241
Submission received: 26 June 2024 / Revised: 20 July 2024 / Accepted: 24 July 2024 / Published: 13 August 2024
(This article belongs to the Special Issue Recent Advances in Optoelectronic and Photonic Sensing Technologies)

Abstract

Aquaculture is expected to play a vital role in solving the challenge of sustainably providing the growing world population with healthy and nutritious food. Pathogen outbreaks are a major risk for the sector, so early detection and a timely response are crucial. This can be enabled by monitoring the pathogen levels in aquaculture facilities. This paper describes a photonic biosensing platform based on silicon nitride waveguide technology with integrated active components, which could be used for such applications. Compared to the state of the art, the current system presents improvements in terms of miniaturization of the Photonic Integrated Circuit (PIC) and the development of wafer-level processes for hybrid integration of active components and for material-selective chemical and biological surface modification. Furthermore, scalable processes for integrating the PIC in a microfluidic cartridge were developed, as well as a prototype desktop readout instrument. Three bacterial aquaculture pathogens (Aeromonas salmonicida, Vagococcus salmoninarum, and Yersinia ruckeri) were selected for assay development. DNA biomarkers were identified, corresponding primer-probe sets designed, and qPCR assays developed. The biomarker for Aeromonas was also detected using the hybrid PIC platform. This is the first successful demonstration of biosensing on the hybrid PIC platform.
Keywords: optical biosensors; photonic structures for sensing; interferometry; hybrid integration; point-of-need sensors; aquaculture; pathogen detection; environmental monitoring; food safety and quality; diagnostics optical biosensors; photonic structures for sensing; interferometry; hybrid integration; point-of-need sensors; aquaculture; pathogen detection; environmental monitoring; food safety and quality; diagnostics

Share and Cite

MDPI and ACS Style

Knoben, W.; Graf, S.; Borutta, F.; Tegegne, Z.; Ningler, M.; Blom, A.; Dam, H.; Evers, K.; Schonenberg, R.; Schütz-Trilling, A.; et al. An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture. Sensors 2024, 24, 5241. https://doi.org/10.3390/s24165241

AMA Style

Knoben W, Graf S, Borutta F, Tegegne Z, Ningler M, Blom A, Dam H, Evers K, Schonenberg R, Schütz-Trilling A, et al. An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture. Sensors. 2024; 24(16):5241. https://doi.org/10.3390/s24165241

Chicago/Turabian Style

Knoben, Wout, Siegfried Graf, Florian Borutta, Zerihun Tegegne, Michael Ningler, Arthur Blom, Henk Dam, Kevin Evers, Rens Schonenberg, Anke Schütz-Trilling, and et al. 2024. "An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture" Sensors 24, no. 16: 5241. https://doi.org/10.3390/s24165241

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