The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
One‐Step Homogeneous Detection of DNA Hybridization with Gold Nanoparticle Probes by Using a Linear Light‐Scattering Technique
Abstract
Matchmaker, matchmaker: A gold-nanoparticle-based light-scattering assay has been developed for sensitive detection of DNA hybridization. The assay relies on the enhancement of light scattering that originates from the aggregation of oligonucleotide-functionalized gold nanoparticles directed by the target DNA. The assay also exhibits a high degree of discrimination between perfectly matched target DNA and targets with single base-pair mismatches.
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Citations
Cites
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Cited by
Gold Nanoparticles in Chemical and Biological Sensing
Saha, K., Agasti, S. S., Kim, C., Li, X., & Rotello, V. M. (2012) · Chemical Reviews · doi:10.1021/cr2001178 · Cited by 4,620
Toxicity and Environmental Risks of Nanomaterials: Challenges and Future Needs
RAY, P. C., YU, H., & FU, P. P. (2009) · Journal of Environmental Science and Health, Part C · doi:10.1080/10590500802708267 · Cited by 936
Metadata
- Authors
- Du, B., Li, Z., & Liu, C.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2006-11-27
- Volume
- 45
- Issue
- 47
- Pages
- 8022-8025
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2097571454
- Cited by
- 173
- References
- 1
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Du, B., Li, Z., & Liu, C. (2006). One‐Step Homogeneous Detection of DNA Hybridization with Gold Nanoparticle Probes by Using a Linear Light‐Scattering Technique. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200603331
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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.
