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Nanomaterials for Uric Acid, Urea, and Creatinine Sensing

Thirumalai, Dinakaran orcid logoORCID: 0000-0002-9005-5990 and Morrin, Aoife orcid logoORCID: 0000-0002-3031-4794 (2026) Nanomaterials for Uric Acid, Urea, and Creatinine Sensing. In: Biocompatible Nanomaterials for Smart Sensors. Nanostructure Science and Technology . Springer, Cham, Switzerland, pp. 103-120. ISBN 978-3-032-01744-4

Abstract
The detection of uric acid, urea, and creatinine, key biomarkers for renal and metabolic disorders, has significantly advanced with the development of nanomaterial-based biosensors. This chapter presents a comprehensive review of recent progress in electrochemical and optical sensing platforms that leverage the unique physicochemical properties of nanomaterials such as metallic nanoparticles, metal oxide nanostructures, carbon-based materials, and polymeric nanocomposites. These materials enhance biosensor performance by increasing electron transfer efficiency, catalytic activity, and surface functionalization, thereby improving sensitivity, selectivity, and stability. Enzyme-based and non-enzymatic detection strategies are discussed, alongside emerging applications in flexible, wearable, and smartphone-integrated devices. Special emphasis is placed on molecularly imprinted polymers, metal-organic frameworks, and hybrid nanocomposites as next-generation platforms for point-of-care diagnostics. The chapter also explores challenges related to biocompatibility, scalability, and regulatory compliance, and outlines future directions including the use of MXenes, AI integration, and biodegradable sensors. These innovations collectively position nanomaterialenabled biosensing as a transformative approach for real-time, personalized healthcare monitoring.
Metadata
Item Type:Book Section
Refereed:Yes
Subjects:Biological Sciences > Biosensors
Humanities > Biological Sciences > Biosensors
Engineering > Materials
Medical Sciences > Diseases
Physical Sciences > Analytical chemistry
Physical Sciences > Nanotechnology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Springer
Official URL:https://link.springer.com/chapter/10.1007/978-3-03...
Copyright Information:Authors
Funders:European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034252
ID Code:32504
Deposited On:25 Jun 2026 14:13 by Dinakaran Thirumalai . Last Modified 25 Jun 2026 14:13
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