Thirumalai, Dinakaran
ORCID: 0000-0002-9005-5990 and Morrin, Aoife
ORCID: 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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