The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Elimination of the Acetaminophen Interference in an Implantable Glucose Sensor
Abstract
Acetaminophen has been one of the most serious electrochemical interferences to oxidase-based amperometric biosensors that measure H2O2. A study was carried out to investigate various polymer materials for their selectivity as the sensor inner membrane. A composite membrane of cellulose acetate and Nafion was found to eliminate acetaminophen and other electrochemical interferences effectively while at the same time maintaining reasonable diffusivity for hydrogen peroxide. The excellent in vivo performance of the sensor was attributed not only to significantly reduced steady-state sensitivity to acetaminophen but also to very slow acetaminophen response. These features, combined with rapid acetaminophen clearance pharmacokinetics, led to the decreased response as demonstrated in the rat.
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
Design and in vitro studies of a needle-type glucose sensor for subcutaneous monitoring
Bindra, D. S., Zhang, Y., Wilson, G. S., Sternberg, R., Thevenot, D. R., Moatti, D., & Reach, G. (1991) · Analytical Chemistry · doi:10.1021/ac00017a008 · Cited by 309
Self-citation
Cited by
Electrochemical Glucose Biosensors
Wang, J. (2008) · Chemical Reviews · doi:10.1021/cr068123a · Cited by 3,498
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
Enzyme‐Based Glucose Sensor: From Invasive to Wearable Device
Lee, H., Hong, Y. J., Baik, S., Hyeon, T., & Kim, D. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701150 · Cited by 778
Methods for reducing biosensor membrane biofouling
Wisniewski, N., & Reichert, M. (2000) · Colloids and Surfaces B: Biointerfaces · doi:10.1016/s0927-7765(99)00148-4 · Cited by 543
Tierney, M. J., Tamada, J. A., Potts, R. O., Jovanovic, L., & Garg, S. (2001) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(01)00189-0 · Cited by 390
Metadata
- Authors
- Zhang, Y., Hu, Y., Wilson, G. S., Moatti-Sirat, D., Poitout, V., & Reach, G.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1994-04-01
- Volume
- 66
- Issue
- 7
- Pages
- 1183-1188
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2006466964
- Cited by
- 184
- References
- 1
- FWCI
- 8.78
- 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.