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.
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
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
Nanomaterials with enzyme-like characteristics (nanozymes): next-generation artificial enzymes
Wei, H., & Wang, E. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35486e · Cited by 3,779
Organs-on-chip monitoring: sensors and other strategies
Kilic, T., Navaee, F., Stradolini, F., Renaud, P., & Carrara, S. (2018) · Microphysiological Systems · doi:10.21037/mps.2018.01.01 · Cited by 96
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
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: In Situ Growth of Porous Platinum Nanoparticles on Graphene Oxide for Colorimetric Detection of Cancer Cells. https://app.cochat.ai/papers/10.1021/ac404104j
- The paper
- 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. (2014). In Situ Growth of Porous Platinum Nanoparticles on Graphene Oxide for Colorimetric Detection of Cancer Cells. Analytical Chemistry. https://doi.org/10.1021/ac404104j
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.