The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Label-free imaging, detection, and mass measurement of single viruses by surface plasmon resonance
Open accessAbstract
We report on label-free imaging, detection, and mass/size measurement of single viral particles in solution by high-resolution surface plasmon resonance microscopy. Diffraction of propagating plasmon waves along a metal surface by the viral particles creates images of the individual particles, which allow us to detect the binding of the viral particles to surfaces functionalized with and without antibodies. We show that the intensity of the particle image is related to the mass of the particle, from which we determine the mass and mass distribution of influenza viral particles with a mass detection limit of approximately 1 ag (or 0.2 fg/mm 2 ). This work demonstrates a multiplexed method to measure the masses of individual viral particles and to study the binding activity of the viral particles.
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Cites
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Metadata
- Authors
- Wang, S., Shan, X., Patel, U., Huang, X., Lu, J., Li, J., & Tao, N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-08-26
- Volume
- 107
- Issue
- 37
- Pages
- 16028-16032
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2041814833
- Cited by
- 386
- References
- 19
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wang, S., Shan, X., Patel, U., Huang, X., Lu, J., Li, J., & Tao, N. (2010). Label-free imaging, detection, and mass measurement of single viruses by surface plasmon resonance. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1005264107
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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.
