The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Pt74Ag26nanoparticle-decorated ultrathin MoS2nanosheets as novel peroxidase mimics for highly selective colorimetric detection of H2O2and glucose
Abstract
To extend the functionalities of two-dimensional graphene-like layered compounds as versatile materials, the modification of transition metal dichalcogenide nanosheets such as MoS2 with metal nanoparticles is of great and widespread interest. However, few studies are available on the preparation of bimetallic nanoparticles supported on MoS2. Herein, a facile and efficient method to synthesize MoS2-PtAg nanohybrids by decorating ultrathin MoS2 nanosheets with octahedral Pt74Ag26 alloy nanoparticles has been reported. The as-prepared MoS2-Pt74Ag26 nanohybrids were investigated as novel peroxidase mimics to catalyze the oxidation of classical peroxidase substrate 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of H2O2, producing a blue colored reaction and exhibiting typical Michaelis-Menten kinetics. MoS2-Pt74Ag26 has a higher affinity for H2O2 than horseradish peroxidase (HRP) and a higher vmax value with TMB as the substrate than MoS2. The improved catalytic activity of hybrids for colorimetric reactions could be attributed to the synergistic effects of octahedral Pt74Ag26 nanoparticles and ultrathin MoS2 nanosheets as supports. Meanwhile, the generation of active oxygen species (˙OH) by H2O2 decomposition with MoS2-Pt74Ag26 was responsible for the oxidation of TMB. On the basis of these findings, a colorimetric method based on MoS2-Pt74Ag26 nanohybrids that is highly sensitive and selective was developed for glucose detection. Lower values of the limit of detection (LOD) were obtained, which is more sensitive than MoS2 nanosheets.
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
The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets
Chhowalla, M., Shin, H. S., Eda, G., Li, L.-J., Loh, K. P., & Zhang, H. (2013) · Nature Chemistry · doi:10.1038/nchem.1589 · Cited by 10,034
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
Xie, J., Zhang, J., Li, S., Grote, F., Zhang, X., Zhang, H., Wang, R., Lei, Y., Pan, B., & Xie, Y. (2013) · Journal of the American Chemical Society · doi:10.1021/ja408329q · Cited by 2,350
Zhou, W., Yin, Z., Du, Y., Huang, X., Zeng, Z., Fan, Z., Liu, H., Wang, J., & Zhang, H. (2013) · Small · doi:10.1002/smll.201201161 · Cited by 1,258
Chen, Z., Cummins, D., Reinecke, B. N., Clark, E., Sunkara, M. K., & Jaramillo, T. F. (2011) · Nano Letters · doi:10.1021/nl2020476 · Cited by 1,153
Wu, Y., Cai, S., Wang, D., He, W., & Li, Y. (2012) · Journal of the American Chemical Society · doi:10.1021/ja302606d · Cited by 351
Self-citationYang, L., Zhou, W., Hou, D., Zhou, K., Li, G., Tang, Z., Li, L., & Chen, S. (2015) · Nanoscale · doi:10.1039/c4nr06754a · Cited by 288
Cited by
Samadi, M., Sarikhani, N., Zirak, M., Zhang, H., Zhang, H.-L., & Moshfegh, A. Z. (2018) · Nanoscale Horizons · doi:10.1039/c7nh00137a · Cited by 408
Jin, L., Meng, Z., Zhang, Y., Cai, S., Zhang, Z., Li, C., Shang, L., & Shen, Y. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b01616 · Cited by 339
Self-citation
Metadata
- Authors
- Cai, S., Han, Q., Qi, C., Lian, Z., Jia, X., Yang, R., & Wang, C.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 8
- Issue
- 6
- Pages
- 3685-3693
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2233151516
- Cited by
- 187
- References
- 7
- FWCI
- 10.91
- 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: Pt74Ag26nanoparticle-decorated ultrathin MoS2nanosheets as novel peroxidase mimics for highly selective colorimetric detection of H2O2and glucose. https://app.cochat.ai/papers/10.1039/c5nr08038j
- The paper
- Cai, S., Han, Q., Qi, C., Lian, Z., Jia, X., Yang, R., & Wang, C. (2016). Pt74Ag26nanoparticle-decorated ultrathin MoS2nanosheets as novel peroxidase mimics for highly selective colorimetric detection of H2O2and glucose. Nanoscale. https://doi.org/10.1039/c5nr08038j
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.