Enzyme-Based Biosensors for in Vivo Measurements
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEnzyme-Based Biosensors for in Vivo MeasurementsGeorge S. Wilson and Yibai HuView Author Information Department of Chemistry and the Center for Neurobiology and Immunology Research, University of Kansas, Lawrence, Kansas 66045 Cite this: Chem. Rev. 2000, 100, 7, 2693–2704Publication Date (Web):June 3, 2000Publication History Received4 August 1999Published online3 June 2000Published inissue 1 July 2000https://pubs.acs.org/doi/10.1021/cr990003yhttps://doi.org/10.1021/cr990003yresearch-articleACS PublicationsCopyright © 2000 American Chemical SocietyRequest reuse permissionsArticle Views4436Altmetric-Citations348LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Carbohydrates,Electrodes,Oxygen,Peptides and proteins,Sensors Get e-Alerts
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CGM supplies real-time data on glucose trends, magnitude, duration, and frequency of daily fluctuations.
“Continuous glucose monitoring (CGM) provides real-time information on trends (i.e., whether the glucose levels are increasing or decreasing), magnitude, duration, and frequency of glucose fluctuations during the day.5–6”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [6]
Lag is also created by tissue responses to the sensor such as electrode fouling, biofouling, and foreign body encapsulation that impedes glucose diffusion.
“Lag is also created by tissue responses to the sensor such as electrode fouling, biofouling, and the foreign body encapsulation that impedes glucose diffusion to the sensor.5–6”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [6]
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- Authors
- Wilson, G. S., & Hu, Y.
- Affiliations
- University of Kansas (US)
- ORCID
- Wilson, George S.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-06-03
- Volume
- 100
- Issue
- 7
- Pages
- 2693-2704
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2090187680
- Cited by
- 434
- References
- 91
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 18 · 2023: 15 · 2022: 12 · 2021: 17 · 2020: 10 · 2019: 13 · 2018: 18 · 2017: 12 · 2016: 21 · 2015: 22 · 2014: 18 · 2013: 30 · 2012: 15
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chemical Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- enzyme biosensor, in vivo measurement, in vivo biosensing, electrochemical biosensor, oxygen sensing, carbohydrate sensing, enzyme electrodes
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 ›
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