The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
In Situ Growth of Porous Platinum Nanoparticles on Graphene Oxide for Colorimetric Detection of Cancer Cells
Abstract
A green approach is proposed for in situ growth of porous platinum nanoparticles on graphene oxide (PtNPs/GO). The resulting nanocomposite has been proven to function as peroxidase mimetics that can catalyze the reaction of peroxidase substrate in the presence of hydrogen peroxide. On the basis of the peroxidase-like activity, we used the PtNPs/GO as a signal transducer to develop a colorimetric assay for the direct detection of cancer cells. By using folic acid as a recognition element, a total of 125 cancer cells (MCF-7) can be distinguished by naked-eye observation. We envision that this nanomaterial could be used as a power tool for a wide range of potential applications in biotechnology and medicine.
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Cites
Intrinsic peroxidase-like activity of ferromagnetic nanoparticles
Gao, L., Zhuang, J., Nie, L., Zhang, J., Zhang, Y., Gu, N., Wang, T., Feng, J., Yang, D., Perrett, S., et al. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.260 · Cited by 7,483
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Gurunathan, S., & Kim, J.-H. (2016) · International Journal of Nanomedicine · doi:10.2147/ijn.s105264 · Cited by 316
Singh, D. P., Herrera, C. E., Singh, B., Singh, S., Singh, R. K., & Kumar, R. (2018) · Materials Science and Engineering: C · doi:10.1016/j.msec.2018.01.004 · Cited by 313
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Organs-on-chip monitoring: sensors and other strategies
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Metadata
- Authors
- Zhang, L.-N., Deng, H.-H., Lin, F.-L., Xu, X.-W., Weng, S.-H., Liu, A.-L., Lin, X.-H., Xia, X.-H., & Chen, W.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-02-20
- Volume
- 86
- Issue
- 5
- Pages
- 2711-2718
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2316519017
- Cited by
- 272
- References
- 1
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
