The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Current and emerging commercial optical biosensors
Abstract
The field of commercial optical biosensors is rapidly evolving, with new systems and detection methods being developed each year. This review outlines the currently available biosensor hardware and highlights unique features of each platform. Affinity‐based biosensor technology, with its high sensitivity, wide versatility and high throughput, is playing a significant role in basic research, pharmaceutical development, and the food and environmental sciences. Likewise, the increasing popularity of biosensors is prompting manufacturers to develop new instrumentation for dedicated applications. We provide a preview of some of the emerging commercial systems that are dedicated to drug discovery, proteomics, clinical diagnostics and routine biomolecular interaction analysis. Copyright © 2001 John Wiley & Sons, Ltd.
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
Proteins of the CNR Family Are Multiple Receptors for Reelin
Senzaki, K., Ogawa, M., & Yagi, T. (1999) · Cell · doi:10.1016/s0092-8674(00)81552-4 · Cited by 272
Cited by
Singh, R., Pantarotto, D., McCarthy, D., Chaloin, O., Hoebeke, J., Partidos, C. D., Briand, J.-P., Prato, M., Bianco, A., & Kostarelos, K. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0441561 · Cited by 759
Pantarotto, D., Partidos, C. D., Hoebeke, J., Brown, F., Kramer, E., Briand, J.-P., Muller, S., Prato, M., & Bianco, A. (2003) · Chemistry & Biology · doi:10.1016/j.chembiol.2003.09.011 · Cited by 538
Optical sensor systems for bioprocess monitoring
Ulber, R., Frerichs, J.-G., & Beutel, S. (2003) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-003-1930-1 · Cited by 151
Metadata
- Authors
- Baird, C. L., & Myszka, D. G.
- Venue
- Journal of Molecular Recognition
- Publisher
- Wiley
- Published
- 2001-09
- Volume
- 14
- Issue
- 5
- Pages
- 261-268
- ISSN
- 0952-3499 (ISSN-L)
- 1099-1352
- OpenAlex
- W1998531611
- Cited by
- 198
- References
- 1
- FWCI
- 3.80
- 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: Current and emerging commercial optical biosensors. https://app.cochat.ai/papers/10.1002/jmr.544
- The paper
- Baird, C. L., & Myszka, D. G. (2001). Current and emerging commercial optical biosensors. Journal of Molecular Recognition. https://doi.org/10.1002/jmr.544
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.
