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Nanosensors and nanomaterials for monitoring glucose in diabetes
Open accessAbstract
Worldwide, diabetes is a rapidly growing problem that is managed at the individual level by monitoring and controlling blood glucose levels to minimize the negative effects of the disease. Because of limitations in diagnostic methods, significant research efforts are focused on developing improved methods to measure glucose. Nanotechnology has impacted these efforts by increasing the surface area of sensors, improving the catalytic properties of electrodes and providing nanoscale sensors. Herein, we discuss developments in the past several years on both nanosensors that directly measure glucose as well as nanomaterials that improve glucose sensor function. Finally, we discuss challenges that must be overcome to apply these developments in the clinic.
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Cites
Electrochemical Glucose Biosensors
Wang, J. (2008) · Chemical Reviews · doi:10.1021/cr068123a · Cited by 3,498
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Advancements in nanomaterials for nanosensors: a comprehensive review
Darwish, M. A., Abd-Elaziem, W., Elsheikh, A., & Zayed, A. A. (2024) · Nanoscale Advances · doi:10.1039/d4na00214h · Cited by 334
Nanofibers for Biomedical and Healthcare Applications
Rasouli, R., Barhoum, A., Bechelany, M., & Dufresne, A. (2019) · Macromolecular Bioscience · doi:10.1002/mabi.201800256 · Cited by 319
Diagnostic biosensors in medicine – A review
Metkar, S. K., & Girigoswami, K. (2019) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2018.11.029 · Cited by 304
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Metadata
- Authors
- Cash, K. J., & Clark, H. A.
- Venue
- Trends in Molecular Medicine
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 16
- Issue
- 12
- Pages
- 584-593
- ISSN
- 1471-4914 (ISSN-L)
- OpenAlex
- W2038055857
- Cited by
- 369
- References
- 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- green
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- Cash, K. J., & Clark, H. A. (2010). Nanosensors and nanomaterials for monitoring glucose in diabetes. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2010.08.002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
