The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrochemical biosensors
Abstract
Electrochemical biosensors combine the sensitivity of electroanalytical methods with the inherent bioselectivity of the biological component. The biological component in the sensor recognizes its analyte resulting in a catalytic or binding event that ultimately produces an electrical signal monitored by a transducer that is proportional to analyte concentration. Some of these sensor devices have reached the commercial stage and are routinely used in clinical, environmental, industrial, and agricultural applications. The two classes of electrochemical biosensors, biocatalytic devices and affinity sensors, will be discussed in this critical review to provide an accessible introduction to electrochemical biosensors for any scientist (110 references).
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
Electrochemical Biosensors - Sensor Principles and Architectures
Grieshaber, D., MacKenzie, R., Vörös, J., & Reimhult, E. (2008) · Sensors · doi:10.3390/s80314000 · Cited by 2,329
Cited by
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
Smart wearable systems: Current status and future challenges
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.09.003 · Cited by 953
Enzyme immobilization: an update
Homaei, A. A., Sariri, R., Vianello, F., & Stevanato, R. (2013) · Journal of Chemical Biology · doi:10.1007/s12154-013-0102-9 · Cited by 875
Skin-interfaced systems for sweat collection and analytics
Choi, J., Ghaffari, R., Baker, L. B., & Rogers, J. A. (2018) · Science Advances · doi:10.1126/sciadv.aar3921 · Cited by 433
Piliarik, M., & Sandoghdar, V. (2014) · Nature Communications · doi:10.1038/ncomms5495 · Cited by 332
Metadata
- Authors
- Ronkainen, N. J., Halsall, H. B., & Heineman, W. R.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 39
- Issue
- 5
- Pages
- 1747
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W4232362978
- Cited by
- 1,945
- References
- 1
- FWCI
- 3.25
- 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: Electrochemical biosensors. https://app.cochat.ai/papers/10.1039/b714449k
- The paper
- Ronkainen, N. J., Halsall, H. B., & Heineman, W. R. (2010). Electrochemical biosensors. Chemical Society Reviews. https://doi.org/10.1039/b714449k
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.