The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
PEGylated Polypyrrole Nanoparticles Conjugating Gadolinium Chelates for Dual‐Modal MRI/Photoacoustic Imaging Guided Photothermal Therapy of Cancer
Abstract
Polypyrrole nanoparticles conjugating gadolinium chelates were successfully fabricated for dual‐modal magnetic resonance imaging (MRI) and photoacoustic imaging guided photothermal therapy of cancer, from a mixture of pyrrole and pyrrole‐1‐propanoic acid through a facile one‐step aqueous dispersion polymerization, followed by covalent attachment of gadolinium chelate, using polyethylene glycol as a linker. The obtained PEGylated polypyrrole nanoparticles conjugating gadolinium chelates (Gd‐PEG‐PPy NPs), sized around around 70 nm, exhibited a high T 1 relaxivity coefficient of 10.61 L m m−1 s−1, more than twice as high as that of the relating free Gd 3+ complex (4.2 L m m–1 s−1). After 24 h intravenous injection of Gd‐PEG‐PPy NPs, the tumor sites exhibited obvious enhancement in both T 1‐weighted MRI intensity and photoacoustic signal compared with that before injection, indicating the efficient accumulation of Gd‐PEG‐PPy NPs due to the introduction of the PEG layer onto the particle surface. In addition, tumor growth could be effectively inhibited after treatment with Gd‐PEG‐PPy NPs in combination with near‐infrared laser irradiation. The passive targeting and high MRI/photoacoustic contrast capability of Gd‐PEG‐PPy NPs are quite favorable for precise cancer diagnosing and locating the tumor site to guide the external laser irradiation for photothermal ablation of tumors without damaging the surrounding healthy tissues. Therefore, Gd‐PEG‐PPy NPs may assist in better monitoring the therapeutic process, and contribute to developing more effective “personalized medicine,” showing great potential for cancer diagnosis and therapy.
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
Multimodality Imaging Probes: Design and Challenges
Louie, A. (2010) · Chemical Reviews · doi:10.1021/cr9003538 · Cited by 1,044
Tromsdorf, U. I., Bruns, O. T., Salmen, S. C., Beisiegel, U., & Weller, H. (2009) · Nano Letters · doi:10.1021/nl902715v · Cited by 396
Cited by
Polymeric Nanoparticles for Drug Delivery
Beach, M. A., Nayanathara, U., Gao, Y., Zhang, C., Xiong, Y., Wang, Y., & Such, G. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00705 · Cited by 1,155
Xi, D., Xiao, M., Cao, J., Zhao, L., Xu, N., Long, S., Fan, J., Shao, K., Sun, W., Yan, X., et al. (2020) · Advanced Materials · doi:10.1002/adma.201907855 · Cited by 658
Recent advances in selective photothermal therapy of tumor
Zhao, L., Zhang, X., Wang, X., Guan, X., Zhang, W., & Ma, J. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01080-3 · Cited by 445
Song, G., Hao, J., Liang, C., Liu, T., Gao, M., Cheng, L., Hu, J., & Liu, Z. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201510597 · Cited by 299
Huang, J., Li, Y., Orza, A., Lu, Q., Guo, P., Wang, L., Yang, L., & Mao, H. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504185 · Cited by 292
Self-citation
Metadata
- Authors
- Liang, X., Li, Y., Li, X., Jing, L., Deng, Z., Yue, X., Li, C., & Dai, Z.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2015-01-28
- Volume
- 25
- Issue
- 9
- Pages
- 1451-1462
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2036832917
- Cited by
- 233
- References
- 2
- FWCI
- 19.66
- 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: PEGylated Polypyrrole Nanoparticles Conjugating Gadolinium Chelates for Dual‐Modal MRI/Photoacoustic Imaging Guided Photothermal Therapy of Cancer. https://app.cochat.ai/papers/10.1002/adfm.201402338
- The paper
- Liang, X., Li, Y., Li, X., Jing, L., Deng, Z., Yue, X., Li, C., & Dai, Z. (2015). PEGylated Polypyrrole Nanoparticles Conjugating Gadolinium Chelates for Dual‐Modal MRI/Photoacoustic Imaging Guided Photothermal Therapy of Cancer. Advanced Functional Materials. https://doi.org/10.1002/adfm.201402338
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.