Glucose Biosensors: An Overview of Use in Clinical Practice
Open accessAbstract
Blood glucose monitoring has been established as a valuable tool in the management of diabetes. Since maintaining normal blood glucose levels is recommended, a series of suitable glucose biosensors have been developed. During the last 50 years, glucose biosensor technology including point-of-care devices, continuous glucose monitoring systems and noninvasive glucose monitoring systems has been significantly improved. However, there continues to be several challenges related to the achievement of accurate and reliable glucose monitoring. Further technical improvements in glucose biosensors, standardization of the analytical goals for their performance, and continuously assessing and training lay users are required. This article reviews the brief history, basic principles, analytical performance, and the present status of glucose biosensors in the clinical practice.
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The ADA in 1994 recommended a threshold <10% maximum permissible bias from reference methods for glucose concentrations between 30 and 396 mg/dL, reduced to <5% in 1996.
“In 1994, the ADA made the first recommendations for the analytical performance of glucose biosensors available, suggesting a threshold <10 % of maximum permissible bias from reference methods for glucose concentrations between 30 and 396 mg/dL. This analytical target was further reduced to <5% in 1996 52.”
From Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices (2022) · cites this paper as [52]
The Analytical Performance Validation section reports the ADA’s 1994 <10% maximum allowable bias recommendation and its reduction to <5% in 1996. It gives the glucose range as 1.6–22.2 mmol/L, approximately 29–400 mg/dL, rather than the claimed 30–396 mg/dL. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMany variables, including hematocrit, hypoxemia, hypotension, temperature, altitude, and humidity may influence the reliability of glucose measurements.
“Many variables, including hematocrit, hypoxemia, hypotension, temperature, altitude, and humidity may influence the reliability of glucose measurements 52,100.”
From Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices (2022) · cites this paper as [52]
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“Many variables, including hematocrit, hypoxemia, hypotension, temperature, altitude, and humidity may influence the reliability of glucose measurements [52,100].”
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Recent Advances in Artificial Intelligence and Wearable Sensors in Healthcare Delivery
Junaid, S. B., Imam, A. A., Abdulkarim, M., Surakat, Y. A., Balogun, A. O., Kumar, G., Shuaibu, A. N., Garba, A., Sahalu, Y., Mohammed, A., et al. (2022) · Applied Sciences · doi:10.3390/app122010271 · Cited by 65 · see citing works
Non-invasive glucose monitoring devices: A review
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- Authors
- Yoo, E.-H., & Lee, S.-Y.
- Affiliations
- Konyang University (KR)
- Samsung Medical Center (KR)
- Corresponding author
- Lee, Soo-Youn
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2010-05-04
- Volume
- 10
- Issue
- 5
- Pages
- 4558-4576
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC3292132
- OpenAlex
- W2018584517
- Cited by
- 1,137
- References
- 7
- Citations by year
- 2026: 50 · 2025: 84 · 2024: 96 · 2023: 102 · 2022: 126 · 2021: 106 · 2020: 86 · 2019: 88 · 2018: 83 · 2017: 54 · 2016: 68 · 2015: 44 · 2014: 41 · 2013: 47 · 2012: 31
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Keywords
- glucose biosensor, blood glucose monitoring, diabetes management, point-of-care testing, continuous glucose monitoring, non-invasive glucose monitoring, analytical performance, clinical practice
- MeSH terms
- Chemistry, Clinical, Glucose, Humans, Blood Glucose Self-Monitoring, Biosensing Techniques, Point-of-Care Systems, History, 20th Century
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