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A Nanosensor Platform for Biologging in Marine Animals

Xiaojia Jin Orcid Logo, Ali A. Alizadehmojarad Orcid Logo, Volodymyr B. Koman Orcid Logo, Gabriel Sánchez-Velázquez, Manki Son, Rory Wilson Orcid Logo, Mark Meekan, Carlos M. Duarte, Michael S. Strano Orcid Logo

ACS Sensors, Volume: 10, Issue: 6, Pages: 4423 - 4433

Swansea University Author: Rory Wilson Orcid Logo

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Abstract

Biologging has significantly advanced ecological biology by enabling the collection of data from free-roaming ani-mals in their natural habitats. Traditionally, these measurements have largely been limited to temperature, pressure, and movement. Incorporating physiological data of animal biomarkers...

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Published in: ACS Sensors
ISSN: 2379-3694
Published: American Chemical Society (ACS) 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69151
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Despite this poten-tial, successful collection of such biochemical information remains absent, and thus motivates new sensor platforms. To-wards this end, we explore the hardware and nanosensor optimization of animal implantable sensors for tracking hor-mone levels in marine animals. The transducer element is based on polymer-wrapped single-walled carbon nanotubes (SWCNT) that act as nanosensors embedded within a biocompatible poly (ethylene glycol) diacrylate (PEGDA) hydrogel. This work investigates the performance of the nanosensor hydrogel under various temperatures, illumination conditions, and nanoparticle concentration in the hydrogel. We further prototype a miniaturized fluores-cent system for integration into existing, commercially available acoustic tags widely used in marine biology studies. 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spelling 2025-07-18T14:50:57.2578976 v2 69151 2025-03-25 A Nanosensor Platform for Biologging in Marine Animals 017bc6dd155098860945dc6249c4e9bc 0000-0003-3177-0177 Rory Wilson Rory Wilson true false 2025-03-25 BGPS Biologging has significantly advanced ecological biology by enabling the collection of data from free-roaming ani-mals in their natural habitats. Traditionally, these measurements have largely been limited to temperature, pressure, and movement. Incorporating physiological data of animal biomarkers could yield valuable orthogonal datasets, provid-ing a more nuanced understanding of organisms in the context of their environments and behaviors. Despite this poten-tial, successful collection of such biochemical information remains absent, and thus motivates new sensor platforms. To-wards this end, we explore the hardware and nanosensor optimization of animal implantable sensors for tracking hor-mone levels in marine animals. The transducer element is based on polymer-wrapped single-walled carbon nanotubes (SWCNT) that act as nanosensors embedded within a biocompatible poly (ethylene glycol) diacrylate (PEGDA) hydrogel. This work investigates the performance of the nanosensor hydrogel under various temperatures, illumination conditions, and nanoparticle concentration in the hydrogel. We further prototype a miniaturized fluores-cent system for integration into existing, commercially available acoustic tags widely used in marine biology studies. We demonstrate a baseline of 100 nM for the detection limit of progesterone as an example of an important hormone in marine animals, using the inte-grated nanosensor hydrogel in this platform. Further improvement is possible with optimization of the signal to noise via hardware development. This developed form-factor will complement the presently collected data by providing insights into the physiological state of the animals in the context of their behavior and environments. Journal Article ACS Sensors 10 6 4423 4433 American Chemical Society (ACS) 2379-3694 tagging, nanosensor, biologging, biochemical monitoring, steroid sensing 27 6 2025 2025-06-27 10.1021/acssensors.5c00671 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Not Required This work was supported by the Innovasea System Inc (Agrmt dated 02/04/2021). X.J. acknowledges support from Mathworks Inc. through the Mathworks Engineering Fellowship. The authors also acknowledge support from the National Science Foundation (Award no. CBET-2124194) for nanoparticle spectroscopy and characterization. The collaborative discussions on the biologging problem were supported by King Abdullah University of Science & Technology (OSR2015 Sensors 2707). 2025-07-18T14:50:57.2578976 2025-03-25T14:38:38.0604857 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Xiaojia Jin 0000-0002-0694-5799 1 Ali A. Alizadehmojarad 0000-0001-6806-5415 2 Volodymyr B. Koman 0000-0001-8480-4003 3 Gabriel Sánchez-Velázquez 4 Manki Son 5 Rory Wilson 0000-0003-3177-0177 6 Mark Meekan 7 Carlos M. Duarte 8 Michael S. Strano 0000-0003-2944-808x 9 69151__33979__f34a3f48a92d430b9713c70d861d31b7.pdf 69151_AAM.pdf 2025-04-10T10:58:45.2996450 Output 3005823 application/pdf Accepted Manuscript true 2025-05-10T00:00:00.0000000 Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title A Nanosensor Platform for Biologging in Marine Animals
spellingShingle A Nanosensor Platform for Biologging in Marine Animals
Rory Wilson
title_short A Nanosensor Platform for Biologging in Marine Animals
title_full A Nanosensor Platform for Biologging in Marine Animals
title_fullStr A Nanosensor Platform for Biologging in Marine Animals
title_full_unstemmed A Nanosensor Platform for Biologging in Marine Animals
title_sort A Nanosensor Platform for Biologging in Marine Animals
author_id_str_mv 017bc6dd155098860945dc6249c4e9bc
author_id_fullname_str_mv 017bc6dd155098860945dc6249c4e9bc_***_Rory Wilson
author Rory Wilson
author2 Xiaojia Jin
Ali A. Alizadehmojarad
Volodymyr B. Koman
Gabriel Sánchez-Velázquez
Manki Son
Rory Wilson
Mark Meekan
Carlos M. Duarte
Michael S. Strano
format Journal article
container_title ACS Sensors
container_volume 10
container_issue 6
container_start_page 4423
publishDate 2025
institution Swansea University
issn 2379-3694
doi_str_mv 10.1021/acssensors.5c00671
publisher American Chemical Society (ACS)
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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description Biologging has significantly advanced ecological biology by enabling the collection of data from free-roaming ani-mals in their natural habitats. Traditionally, these measurements have largely been limited to temperature, pressure, and movement. Incorporating physiological data of animal biomarkers could yield valuable orthogonal datasets, provid-ing a more nuanced understanding of organisms in the context of their environments and behaviors. Despite this poten-tial, successful collection of such biochemical information remains absent, and thus motivates new sensor platforms. To-wards this end, we explore the hardware and nanosensor optimization of animal implantable sensors for tracking hor-mone levels in marine animals. The transducer element is based on polymer-wrapped single-walled carbon nanotubes (SWCNT) that act as nanosensors embedded within a biocompatible poly (ethylene glycol) diacrylate (PEGDA) hydrogel. This work investigates the performance of the nanosensor hydrogel under various temperatures, illumination conditions, and nanoparticle concentration in the hydrogel. We further prototype a miniaturized fluores-cent system for integration into existing, commercially available acoustic tags widely used in marine biology studies. We demonstrate a baseline of 100 nM for the detection limit of progesterone as an example of an important hormone in marine animals, using the inte-grated nanosensor hydrogel in this platform. Further improvement is possible with optimization of the signal to noise via hardware development. This developed form-factor will complement the presently collected data by providing insights into the physiological state of the animals in the context of their behavior and environments.
published_date 2025-06-27T05:27:25Z
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