The DOI matches its Crossref record.
Surface Plasmon Resonance Biosensing
Abstract
Surface plasmon resonance (SPR) biosensors belong to label-free optical biosensing technologies. The SPR method is based on optical measurement of refractive index changes associated with the binding of analyte molecules in a sample to biorecognize molecules immobilized on the SPR sensor. Since late 1990's, SPR biosensors have become the main tool for the study of biomolecular interactions both in life science and pharmaceutical research. In addition, they have been increasingly applied in the detection of chemical and biological substances in important areas such as medical diagnostics, environmental monitoring, food safety and security. This chapter reviews the main principles of SPR biosensor technology and discusses applications of this technology for rapid, sensitive and specific detection of chemical and biological analytes.
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
Cited by
Localized surface plasmon resonance: Nanostructures, bioassays and biosensing—A review
Petryayeva, E., & Krull, U. J. (2011) · Analytica Chimica Acta · doi:10.1016/j.aca.2011.08.020 · Cited by 1,379
Stimulus-responsive hydrogels: theory, modern advances, and applications
Koetting, M. C., Peters, J. T., Steichen, S. D., & Peppas, N. A. (2015) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2015.04.001 · Cited by 1,191
Patching, S. G. (2014) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2013.04.028 · Cited by 458
Stress Biomarkers in Biological Fluids and Their Point-of-Use Detection
Steckl, A. J., & Ray, P. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00726 · Cited by 319
Antibody-Based Protein Multiplex Platforms: Technical and Operational Challenges
Ellington, A. A., Kullo, I. J., Bailey, K. R., & Klee, G. G. (2010) · Clinical Chemistry · doi:10.1373/clinchem.2009.127514 · Cited by 313
Metadata
- Authors
- Piliarik, M., Vaisocherová, H., & Homola, J.
- Venue
- Methods in Molecular Biology
- Publisher
- Humana Press
- Published
- 2009
- Volume
- 503
- Pages
- 65-88
- ISSN
- 1064-3745 (ISSN-L)
- OpenAlex
- W3142684927
- Cited by
- 238
- References
- 0
- FWCI
- 47.03
- Type
- book chapter
- 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: Surface Plasmon Resonance Biosensing. https://app.cochat.ai/papers/10.1007/978-1-60327-567-5_5
- The paper
- Piliarik, M., Vaisocherová, H., & Homola, J. (2009). Surface Plasmon Resonance Biosensing. Methods in Molecular Biology. https://doi.org/10.1007/978-1-60327-567-5_5
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.