The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nanocatalytic Tumor Therapy by Single-Atom Catalysts
Abstract
Initiating localized catalytic chemical reactions in tumor microenvironment (TME) can achieve appealing tumor-therapeutic efficacy concurrently with high specificity and desirable biosafety, which is mainly dependent on the high performance of biomedical nanocatalysts. This report demonstrates that PEGylated single-atom Fe-containing nanocatalysts (PSAF NCs) could effectively trigger the in situ tumor-specific Fenton reaction to generate abundant toxic hydroxyl radicals (•OH) selectively under the acidic TME. Based on density functional theory, it has been theoretically uncovered that the nanocatalysts could specifically catalyze the heterogeneous Fenton reaction via a proton-mediated H 2 O 2 -homolytic pathway. These generated radicals could not only lead to the apoptotic cell death of malignant tumors, but also induce the accumulation of lipid peroxides, causing tumor cell ferroptosis, which synergistically lead to an impressive tumor suppression outcome. In the meantime, the favorable biodegradability and biocompatibility of PSAF NCs also guarantee their desirable biosafety both in vivo and in vitro .
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
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Ferroptosis: A Regulated Cell Death Nexus Linking Metabolism, Redox Biology, and Disease
Stockwell, B. R., Friedmann Angeli, J. P., Bayir, H., Bush, A. I., Conrad, M., Dixon, S. J., Fulda, S., Gascón, S., Hatzios, S. K., Kagan, V. E., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.021 · Cited by 7,695
ROS as signalling molecules: Mechanisms that generate specificity in ROS homeostasis
D'Autréaux, B., & Toledano, M. B. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2256 · Cited by 3,642
Hypoxia, HIF1 and glucose metabolism in the solid tumour
Denko, N. C. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2468 · Cited by 1,707
Atomic cobalt on nitrogen-doped graphene for hydrogen generation
Fei, H., Dong, J., Arellano-Jiménez, M. J., Ye, G., Dong Kim, N., Samuel, E. L. G., Peng, Z., Zhu, Z., Qin, F., Bao, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms9668 · Cited by 1,621
Molecular metal–Nx centres in porous carbon for electrocatalytic hydrogen evolution
Liang, H.-W., Brüller, S., Dong, R., Zhang, J., Feng, X., & Müllen, K. (2015) · Nature Communications · doi:10.1038/ncomms8992 · Cited by 655
Kim, S. E., Zhang, L., Ma, K., Riegman, M., Chen, F., Ingold, I., Conrad, M., Turker, M. Z., Gao, M., Jiang, X., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.164 · Cited by 622
Cited by
Metal‐Nitrogen‐Doped Carbon Materials as Highly Efficient Catalysts: Progress and Rational Design
Shi, Z., Yang, W., Gu, Y., Liao, T., & Sun, Z. (2020) · Advanced Science · doi:10.1002/advs.202001069 · Cited by 470
Immunomodulation‐Enhanced Nanozyme‐Based Tumor Catalytic Therapy
Xu, B., Cui, Y., Wang, W., Li, S., Lyu, C., Wang, S., Bao, W., Wang, H., Qin, M., Liu, Z., et al. (2020) · Advanced Materials · doi:10.1002/adma.202003563 · Cited by 404
Zhang, S., Li, Y., Sun, S., Liu, L., Mu, X., Liu, S., Jiao, M., Chen, X., Chen, K., Ma, H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32411-z · Cited by 280
Defect engineering in nanozymes
Wu, Y., Xu, W., Jiao, L., Tang, Y., Chen, Y., Gu, W., & Zhu, C. (2022) · Materials Today · doi:10.1016/j.mattod.2021.10.032 · Cited by 269
Self-citationChen, Q., Zhang, M., Huang, H., Dong, C., Dai, X., Feng, G., Lin, L., Sun, D., Yang, D., Xie, L., et al. (2023) · Advanced Science · doi:10.1002/advs.202206244 · Cited by 83
Self-citation
Metadata
- Authors
- Huo, M., Wang, L., Wang, Y., Chen, Y., & Shi, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-15
- Volume
- 13
- Issue
- 2
- Pages
- 2643-2653
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2913618557
- Cited by
- 368
- References
- 7
- FWCI
- 18.08
- 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: Nanocatalytic Tumor Therapy by Single-Atom Catalysts. https://app.cochat.ai/papers/10.1021/acsnano.9b00457
- The paper
- Huo, M., Wang, L., Wang, Y., Chen, Y., & Shi, J. (2019). Nanocatalytic Tumor Therapy by Single-Atom Catalysts. ACS Nano. https://doi.org/10.1021/acsnano.9b00457
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.
