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Ad hoc manufactured OECT glucose sensor in capillary-driven microfluidic
Linköping University, Department of Science and Technology, Laboratory of Organic Electronics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6394-2965
Linköping University, Department of Science and Technology, Laboratory of Organic Electronics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2724-5601
Diagnostic devices, Digital Industry Department, LEITAT Technological Center, Terrassa, Barcelona, Spain.
Linköping University, Department of Science and Technology, Laboratory of Organic Electronics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0078-5149
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2025 (English)In: npj Biosensing, E-ISSN 3004-8656, Vol. 2, no 1, article id 44Article in journal (Refereed) Published
Abstract [en]

Glucose sensors are essential for managing diabetes, a metabolic disease affecting 1 in 10 adults globally. Enzyme-based biosensors, particularly those utilizing oxidoreductases, offer high specificity for glucose detection. This study explores the use of flavin-dependent glucose dehydrogenase from Aspergillus oryzae (AoGDH) in developing glucose sensors integrated into organic electrochemical transistors (OECTs) without mediators. We employed tri-thiophene monomer units to form conductive polymers interfacing with AoGDH, allowing sensing due to the proximity of the FAD cofactor. Despite AoGDH’s lower stability compared to glucose oxidase (GOx), its ability to function without oxygen sensitivity makes it advantageous. Using electropolymerization, we successfully incorporated AoGDH into the OECT gate electrode, demonstrating glucose detection in physiological ranges, albeit in buffer solutions. Furthermore, integrating this system into a 3D-printed capillary-driven microfluidic device facilitated on-demand sensor fabrication, enhancing portability and point-of-care application potential. This study underscores the viability of AoGDH-based, and ad hoc fabricated, OECT sensors for accurate and responsive glucose monitoring in biomedical applications.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 2, no 1, article id 44
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Diagnostic Biotechnology
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URN: urn:nbn:se:liu:diva-223497DOI: 10.1038/s44328-025-00063-wOAI: oai:DiVA.org:liu-223497DiVA, id: diva2:2057290
Funder
EU, Horizon 2020, 813863EU, Horizon 2020, 813863EU, Horizon 2020, 813863Swedish Foundation for Strategic ResearchKnut and Alice Wallenberg FoundationSwedish Research CouncilAvailable from: 2026-05-04 Created: 2026-05-04 Last updated: 2026-05-04

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Burtscher, BernhardDiacci, ChiaraSavvakis, MariosAbrahamsson, TobiasStrakosas, XenofonSimon, Daniel

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