The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Sensors for glucose monitoring: technical and clinical aspects
Abstract
The aim of this article is to critically discuss the technical and clinical aspects of glucose sensors and to briefly review current technical developments. This includes sensors for spot glucose measurements as well as those used for continuous glucose monitoring. Continuous glucose monitoring in particular should supply the diabetic patient with all the information required to optimize insulin therapy and metabolic control. Such systems should also allow hypo- and hyperglycemic episodes to be avoided. During the last 30 years numerous attempts have been made to develop glucose sensors, and new major breakthroughs have been announced repeatedly. However, up until now no glucose sensor has been available that can be used by diabetic patients in daily life conditions. Also one type of glucose sensor, a glucose electrode, recently received approval by the Food and Drug Administration (USA) and is commercially available. Other glucose sensors employing the transdermal, microdialysis or open tissue microperfusion technique are currently under clinical development and may also become available in the near future. The types of glucose sensors referred to so far are not truly non-invasive, but only minimally invasive. They measure glucose concentration in the interstitial fluid of the skin or the subcutis. Non-invasive optical glucose sensors are designed to monitor glucose changes in the skin by directing light through it. They measure the characteristics of the reflected light that are changed as the result of an interaction with glucose. However, none of the attempts with optical glucose sensors have resulted thus far in the development of a sensor that allows monitoring of glucose with sufficient accuracy and precision within the clinically relevant glucose range in daily life conditions. Nevertheless, more minimal-invasive glucose sensors systems will become available for practical use in the near future, whereas it is still uncertain if this can be said for any non-invasive glucose sensor.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bode, B. W., Gross, T. M., Thornton, K. R., & Mastrototaro, J. J. (1999) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(99)00113-8 · Cited by 232
Cited by
A Comprehensive Review of Glucose Biosensors Based on Nanostructured Metal-Oxides
Rahman, M. M., Ahammad, A. J. S., Jin, J.-H., Ahn, S. J., & Lee, J.-J. (2010) · Sensors · doi:10.3390/s100504855 · Cited by 762
A Tale of Two Compartments: Interstitial Versus Blood Glucose Monitoring
Cengiz, E., & Tamborlane, W. V. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0002 · Cited by 390
Technologies for Continuous Glucose Monitoring: Current Problems and Future Promises
Vaddiraju, S., Burgess, D. J., Tomazos, I., Jain, F. C., & Papadimitrakopoulos, F. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400632 · Cited by 285
Current development in non-invasive glucose monitoring
Ferrante do Amaral, C. E., & Wolf, B. (2008) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2007.06.003 · Cited by 269
Non-Invasive Glucose Measurement Technologies: An Update from 1999 to the Dawn of the New Millennium
Khalil, O. S. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2004.6.660 · Cited by 255
Metadata
- Authors
- Koschinsky, T., & Heinemann, L.
- Venue
- Diabetes/Metabolism Research and Reviews
- Publisher
- Wiley
- Published
- 2001
- Volume
- 17
- Issue
- 2
- Pages
- 113-123
- ISSN
- 1520-7552 (ISSN-L)
- 1520-7560
- OpenAlex
- W2127658050
- Cited by
- 288
- References
- 2
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.