The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Mo2C‐Derived Polyoxometalate for NIR‐II Photoacoustic Imaging‐Guided Chemodynamic/Photothermal Synergistic Therapy
Abstract
To overcome the current limitations of chemodynamic therapy (CDT), a Mo 2 C‐derived polyoxometalate (POM) is readily synthesized as a new CDT agent. It permits synergistic chemodynamic and photothermal therapy operating in the second near‐infrared (NIR‐II) biological transparent window for deep tissue penetration. POM aggregated in an acidic tumor micro‐environment (TME) whereby enables specific tumor targeting. In addition to the strong ability to produce singlet oxygen (1 O 2) presumably via Russell mechanism, its excellent photothermal conversion enhances the CDT effect, offers additional tumor ablation modality, and permits NIR‐II photoacoustic imaging. Benefitting from the reversible redox property of molybdenum, the theranostics based on POM can escape from the antioxidant defense system. Moreover, combining the specific responsiveness to TME and localized laser irradiation, side‐effects shall be largely avoided.
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
Chemodynamic Therapy: Tumour Microenvironment‐Mediated Fenton and Fenton‐like Reactions
Tang, Z., Liu, Y., He, M., & Bu, W. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201805664 · Cited by 1,951
Lin, L., Song, J., Song, L., Ke, K., Liu, Y., Zhou, Z., Shen, Z., Li, J., Yang, Z., Tang, W., et al. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201712027 · Cited by 1,466
Ma, B., Wang, S., Liu, F., Zhang, S., Duan, J., Li, Z., Kong, Y., Sang, Y., Liu, H., Bu, W., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b08714 · Cited by 1,222
Rational Design of Cancer Nanomedicine: Nanoproperty Integration and Synchronization
Sun, Q., Zhou, Z., Qiu, N., & Shen, Y. (2017) · Advanced Materials · doi:10.1002/adma.201606628 · Cited by 1,058
Liu, C., Wang, D., Zhang, S., Cheng, Y., Yang, F., Xing, Y., Xu, T., Dong, H., & Zhang, X. (2019) · ACS Nano · doi:10.1021/acsnano.8b09387 · Cited by 641
Gong, N., Ma, X., Ye, X., Zhou, Q., Chen, X., Tan, X., Yao, S., Huo, S., Zhang, T., Chen, S., et al. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0373-6 · Cited by 601
Zhang, L., Wan, S.-S., Li, C.-X., Xu, L., Cheng, H., & Zhang, X.-Z. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b03178 · Cited by 584
Cancer Treatment through Nanoparticle-Facilitated Fenton Reaction
Ranji-Burachaloo, H., Gurr, P. A., Dunstan, D. E., & Qiao, G. G. (2018) · ACS Nano · doi:10.1021/acsnano.8b07635 · Cited by 559
Tang, Z., Zhang, H., Liu, Y., Ni, D., Zhang, H., Zhang, J., Yao, Z., He, M., Shi, J., & Bu, W. (2017) · Advanced Materials · doi:10.1002/adma.201701683 · Cited by 553
Zhao, Z., Chen, C., Wu, W., Wang, F., Du, L., Zhang, X., Xiong, Y., He, X., Cai, Y., Kwok, R. T. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08722-z · Cited by 463
Cited by
Second near-infrared photothermal materials for combinational nanotheranostics
Xu, C., & Pu, K. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00664e · Cited by 941
Zhang, Z., Xu, W., Kang, M., Wen, H., Guo, H., Zhang, P., Xi, L., Li, K., Wang, L., Wang, D., et al. (2020) · Advanced Materials · doi:10.1002/adma.202003210 · Cited by 436
Self-citationLi, D., Chen, X., Dai, W., Jin, Q., Wang, D., Ji, J., & Tang, B. Z. (2024) · Advanced Materials · doi:10.1002/adma.202306476 · Cited by 93
Metadata
- Authors
- Liu, G., Zhu, J., Guo, H., Sun, A., Chen, P., Xi, L., Huang, W., Song, X., & Dong, X.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2019-10-31
- Volume
- 58
- Issue
- 51
- Pages
- 18641-18646
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2979380254
- Cited by
- 394
- References
- 35
- FWCI
- 16.42
- 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: Mo2C‐Derived Polyoxometalate for NIR‐II Photoacoustic Imaging‐Guided Chemodynamic/Photothermal Synergistic Therapy. https://app.cochat.ai/papers/10.1002/anie.201910815
- The paper
- Liu, G., Zhu, J., Guo, H., Sun, A., Chen, P., Xi, L., Huang, W., Song, X., & Dong, X. (2019). Mo2C‐Derived Polyoxometalate for NIR‐II Photoacoustic Imaging‐Guided Chemodynamic/Photothermal Synergistic Therapy. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201910815
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.
