The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Single-molecule biosensors: Recent advances and applications
Abstract
Single-molecule biosensors serve the unmet need for real time detection of individual biological molecules in the molecular crowd with high specificity and accuracy, uncovering unique properties of individual molecules which are hidden when measured using ensemble averaging methods. Measuring a signal generated by an individual molecule or its interaction with biological partners is not only crucial for early diagnosis of various diseases such as cancer and to follow medical treatments but also offers a great potential for future point-of-care devices and personalized medicine. This review summarizes and discusses recent advances in nanosensors for both in vitro and in vivo detection of biological molecules offering single-molecule sensitivity. In the first part, we focus on label-free platforms, including electrochemical, plasmonic, SERS-based and spectroelectrochemical biosensors. We review fluorescent single-molecule biosensors in the second part, highlighting nanoparticle-amplified assays, digital platforms and the utilization of CRISPR technology. We finally discuss recent advances in the emerging nanosensor technology of important biological species as well as future perspectives of these sensors.
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
CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aar6245 · Cited by 4,507
CRISPR RNA Maturation by Trans-Encoded Small RNA and Host Factor RNase III
Deltcheva, E., Chylinski, K., Sharma, C. M., Gonzales, K., Chao, Y., Pirzada, Z. A., Eckert, M. R., Vogel, J., & Charpentier, E. (2011) · Nature · doi:10.1038/nature09886 · Cited by 2,563
Observation of Single-Protein and DNA Macromolecule Collisions on Ultramicroelectrodes
Dick, J. E., Renault, C., & Bard, A. J. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b04545 · Cited by 215
Cited by
Kim, H., Park, S., Jeong, I. G., Song, S. H., Jeong, Y., Kim, C.-S., & Lee, K. H. (2021) · ACS Nano · doi:10.1021/acsnano.0c06946 · Cited by 130
Metadata
- Authors
- Akkilic, N., Geschwindner, S., & Höök, F.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 151
- Pages
- 111944
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2994146441
- Cited by
- 166
- References
- 3
- FWCI
- 4.15
- 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: Single-molecule biosensors: Recent advances and applications. https://app.cochat.ai/papers/10.1016/j.bios.2019.111944
- The paper
- Akkilic, N., Geschwindner, S., & Höök, F. (2020). Single-molecule biosensors: Recent advances and applications. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2019.111944
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.
