The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Positively-charged gold nanoparticles as peroxidiase mimic and their application in hydrogen peroxide and glucose detection
Abstract
Positively-charged gold nanoparticles possess intrinsic peroxidase-like activity, and can catalyze oxidation of the peroxidase substrate 3,3,5,5-tetramethylbenzidine (TMB) by H(2)O(2) to develop a blue color in aqueous solution, thus providing a simple approach to colorimetric detection of H(2)O(2) and glucose.
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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
Cited by
Catalytically Active Nanomaterials: A Promising Candidate for Artificial Enzymes
Lin, Y., Ren, J., & Qu, X. (2014) · Accounts of Chemical Research · doi:10.1021/ar400250z · Cited by 1,252
Han, L., Li, C., Zhang, T., Lang, Q., & Liu, A. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b03591 · Cited by 280
Metadata
- Authors
- Jv, Y., Li, B., & Cao, R.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 46
- Issue
- 42
- Pages
- 8017
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W1976376908
- Cited by
- 936
- References
- 1
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Positively-charged gold nanoparticles as peroxidiase mimic and their application in hydrogen peroxide and glucose detection. https://app.cochat.ai/papers/10.1039/c0cc02698k
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- Jv, Y., Li, B., & Cao, R. (2010). Positively-charged gold nanoparticles as peroxidiase mimic and their application in hydrogen peroxide and glucose detection. Chemical Communications. https://doi.org/10.1039/c0cc02698k
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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.
