The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
A Wearable Cellulose Acetate-Coated Mouthguard Biosensor for In Vivo Salivary Glucose Measurement
Abstract
In this study, a cellulose acetate (CA) membrane is formed as an interference rejection membrane on a glucose sensor to measure glucose in saliva. Glucose in saliva is successfully measured in vivo without any pretreatment of human saliva. A mouthguard (MG) glucose sensor is developed to monitor salivary glucose, which is reported to be correlated with the blood glucose level. Salivary components of ascorbic acid (AA) and uric acid (UA) hinder the accurate measurement of the glucose concentration of human saliva. CA-coated electrodes are prepared to investigate the interference rejection membrane. To measure hydrogen peroxide, which is a reaction product of glucose oxidase, effects of AA and UA are examined. Characteristics of the fabricated biosensor are examined on the basis of artificial saliva. The as-developed MG sensor can quantify the glucose concentration in the range of 1.75-10 000 μmol/L, which includes a salivary sugar concentration of 20-200 μmol/L. For the measurement of saliva samples collected from healthy subjects, the output corresponding to the concentration is confirmed; this suggests the possibility of glucose measurement. This MG glucose sensor can provide a useful method for the unrestricted and noninvasive monitoring of saliva glucose for the management of diabetes patients.
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
Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., Brauer, M., Burnett, R., Cercy, K., Charlson, F. J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31679-8 · Cited by 7,698
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives
Chen, L., Magliano, D. J., & Zimmet, P. Z. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.183 · Cited by 2,227
Glucose Transporters and Insulin Action — Implications for Insulin Resistance and Diabetes Mellitus
Shepherd, P. R., & Kahn, B. B. (1999) · New England Journal of Medicine · doi:10.1056/nejm199907223410406 · Cited by 1,295
Non-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247
Lee, H., Song, C., Hong, Y. S., Kim, M., Cho, H. R., Kang, T., Shin, K., Choi, S. H., Hyeon, T., & Kim, D.-H. (2017) · Science Advances · doi:10.1126/sciadv.1601314 · Cited by 1,118
Electrochemical Tattoo Biosensors for Real-Time Noninvasive Lactate Monitoring in Human Perspiration
Jia, W., Bandodkar, A. J., Valdés-Ramírez, G., Windmiller, J. R., Yang, Z., Ramírez, J., Chan, G., & Wang, J. (2013) · Analytical Chemistry · doi:10.1021/ac401573r · Cited by 862
Glucose Sensing for Diabetes Monitoring: Recent Developments
Bruen, D., Delaney, C., Florea, L., & Diamond, D. (2017) · Sensors · doi:10.3390/s17081866 · Cited by 777
Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
Bandodkar, A. J., Jia, W., Yardımcı, C., Wang, X., Ramirez, J., & Wang, J. (2015) · Analytical Chemistry · doi:10.1021/ac504300n · Cited by 700
The Performance and Usability of a Factory-Calibrated Flash Glucose Monitoring System
Bailey, T., Bode, B. W., Christiansen, M. P., Klaff, L. J., & Alva, S. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0378 · Cited by 685
Cited by
Device integration of electrochemical biosensors
Wu, J., Liu, H., Chen, W., Ma, B., & Ju, H. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00032-w · Cited by 895
Flexible Wearable Sensors for Cardiovascular Health Monitoring
Chen, S., Qi, J., Fan, S., Qiao, Z., Yeo, J. C., & Lim, C. T. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100116 · Cited by 453
Wearable Electrochemical Glucose Sensors in Diabetes Management: A Comprehensive Review
Saha, T., Del Caño, R., Mahato, K., De la Paz, E., Chen, C., Ding, S., Yin, L., & Wang, J. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00078 · Cited by 442
Applied body-fluid analysis by wearable devices
Brasier, N., Wang, J., Gao, W., Sempionatto, J. R., Dincer, C., Ates, H. C., Güder, F., Olenik, S., Schauwecker, I., Schaffarczyk, D., et al. (2024) · Nature · doi:10.1038/s41586-024-08249-4 · Cited by 298
Reshaping healthcare with wearable biosensors
Smith, A. A., Li, R., & Tse, Z. T. H. (2023) · Scientific Reports · doi:10.1038/s41598-022-26951-z · Cited by 267
Metadata
- Authors
- Arakawa, T., Tomoto, K., Nitta, H., Toma, K., Takeuchi, S., Sekita, T., Minakuchi, S., & Mitsubayashi, K.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-08-11
- Volume
- 92
- Issue
- 18
- Pages
- 12201-12207
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W3048679509
- Cited by
- 313
- References
- 40
- FWCI
- 10.97
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Wearable Cellulose Acetate-Coated Mouthguard Biosensor for In Vivo Salivary Glucose Measurement. https://app.cochat.ai/papers/10.1021/acs.analchem.0c01201
- The paper
- Arakawa, T., Tomoto, K., Nitta, H., Toma, K., Takeuchi, S., Sekita, T., Minakuchi, S., & Mitsubayashi, K. (2020). A Wearable Cellulose Acetate-Coated Mouthguard Biosensor for In Vivo Salivary Glucose Measurement. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.0c01201
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.
