The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High sensitivity nanoparticle detection using optical microcavities
Open accessAbstract
We demonstrate a highly sensitive nanoparticle and virus detection method by using a thermal-stabilized reference interferometer in conjunction with an ultrahigh-Q microcavity. Sensitivity is sufficient to resolve shifts caused by binding of individual nanobeads in solution down to a record radius of 12.5 nm, a size approaching that of single protein molecules. A histogram of wavelength shift versus nanoparticle radius shows that particle size can be inferred from shift maxima. Additionally, the signal-to-noise ratio for detection of Influenza A virus is enhanced to 38∶1 from the previously reported 3∶1. The method does not use feedback stabilization of the probe laser. It is also observed that the conjunction of particle-induced backscatter and optical-path-induced shifts can be used to enhance detection signal-to-noise.
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
Vahala, K. J. (2003) · Nature · doi:10.1038/nature01939 · Cited by 4,878
Self-citationUltra-high-Q toroid microcavity on a chip
Armani, D. K., Kippenberg, T. J., Spillane, S. M., & Vahala, K. J. (2003) · Nature · doi:10.1038/nature01371 · Cited by 2,214
Self-citation
Cited by
Zijlstra, P., Paulo, P. M. R., & Orrit, M. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.51 · Cited by 788
Optical Trapping of a Single Protein
Pang, Y., & Gordon, R. (2012) · Nano Letters · doi:10.1021/nl203719v · Cited by 503
Metadata
- Authors
- Lu, T., Lee, H., Chen, T., Herchak, S., Kim, J.-H., Fraser, S. E., Flagan, R. C., & Vahala, K.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-03-28
- Volume
- 108
- Issue
- 15
- Pages
- 5976-5979
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2042024782
- Cited by
- 308
- References
- 2
- FWCI
- 23.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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: High sensitivity nanoparticle detection using optical microcavities. https://app.cochat.ai/papers/10.1073/pnas.1017962108
- The paper
- Lu, T., Lee, H., Chen, T., Herchak, S., Kim, J.-H., Fraser, S. E., Flagan, R. C., & Vahala, K. (2011). High sensitivity nanoparticle detection using optical microcavities. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1017962108
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.
