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Noninvasively measuring blood glucose using saliva
Abstract
Self-measurement of blood glucose level is a very important aspect in monitoring the health quality of diabetic patients who require insulin therapy. Typically, a blood sample for analysis is obtained via a finger stick or other such invasive procedure. Often, this blood collecting causes physical and mental stress to the patient. For this reason, it is desirable to establish a noninvasive bloodless procedure to monitor the blood glucose level (BGL). Here, the authors discuss the correlation between BGL and saliva glucose level and then present an approach that uses an enzyme-sensor system to noninvasively measure blood glucose using saliva.
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“Salivary glucose can thus offer an alternative painless screening route for diabetic patients149-154.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [149]
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Metadata
- Authors
- Yamaguchi, M., Mitsumori, M., & Kano, Y.
- Affiliations
- Tokyo University of Agriculture and Technology (JP)
- ORCID
- Yamaguchi, M.
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 1998
- Volume
- 17
- Issue
- 3
- Pages
- 59-63
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2052875889
- Cited by
- 129
- References
- 13
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 12 · 2023: 6 · 2022: 4 · 2021: 9 · 2020: 4 · 2019: 7 · 2018: 3 · 2017: 10 · 2016: 14 · 2015: 13 · 2014: 7 · 2013: 1 · 2012: 5
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Sumitomo Foundation
- Saneyoshi Scholarship Foundation
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Keywords
- non-invasive blood glucose measurement, saliva glucose, blood glucose monitoring, diabetes mellitus, insulin therapy, enzyme biosensor, self-monitoring
- MeSH terms
- Adult, Blood Glucose, Glucose, Humans, Reference Values, Saliva, Time Factors, Reproducibility of Results
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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