The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Polydopamine-based functional materials and their applications in energy, environmental, and catalytic fields: State-of-the-art review
Abstract
Abstract Recently, polydopamine (PDA) has emerged as a popular material due to its striking properties. As a novel bio-inspired material, PDA can be easily formed in environmental conditions on virtually all kinds of inorganic and organic substrates. The abundant functional groups on PDA allow it to be a versatile platform for further loading of other components with desired functionalities. Along with its excellent performance in various fields, research interest and attention about PDA have significantly increased in recent years. Considering increasing interest and advances in energy, environmental, and catalytic fields, we present this mini-review regarding the latest development of PDA-based functional materials in these fields. The properties of PDA-based functional materials are briefly introduced at the beginning. Emphases are put on the latest applications in areas of batteries, supercapacitors, electrocatalysis, photo- and chemo-catalysis, removal of heavy metals and organic dyes, oil/water separation as well as seawater desalination. At the end of this mini-review, we give a straightforward summary and prospect about PDA-based functional materials in these applications. We hope this mini-review could provide some useful information to guide the future development of PDA-based functional materials.
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
Mussel-inspired surface chemistry for multifunctional coatings
Lee, H., Dellatore, S. M., Miller, W. M., & Messersmith, P. B. (2007) · Science · doi:10.1126/science.1147241 · Cited by 10,965
Removal of heavy metal ions from wastewaters: A review
Fu, F., & Wang, Q. (2011) · Journal of Environmental Management · doi:10.1016/j.jenvman.2010.11.011 · Cited by 8,703
Liu, Y., Ai, K., & Lu, L. (2014) · Chemical Reviews · doi:10.1021/cr400407a · Cited by 4,794
Polydopamine Surface Chemistry: A Decade of Discovery
Ryu, J. H., Messersmith, P. B., & Lee, H. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b19865 · Cited by 1,843
Wang, Y.-J., Zhao, N., Fang, B., Li, H., Bi, X. T., & Wang, H. (2015) · Chemical Reviews · doi:10.1021/cr500519c · Cited by 1,267
Polydopamine—a nature-inspired polymer coating for biomedical science
Lynge, M. E., van der Westen, R., Postma, A., & Städler, B. (2011) · Nanoscale · doi:10.1039/c1nr10969c · Cited by 907
Qu, K., Zheng, Y., Dai, S., & Qiao, S. Z. (2016) · Nano Energy · doi:10.1016/j.nanoen.2015.11.027 · Cited by 623
Catechols as versatile platforms in polymer chemistry
Faure, E., Falentin-Daudré, C., Jérôme, C., Lyskawa, J., Fournier, D., Woisel, P., & Detrembleur, C. (2013) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.004 · Cited by 616
Della Vecchia, N. F., Avolio, R., Alfè, M., Errico, M. E., Napolitano, A., & d'Ischia, M. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201202127 · Cited by 582
Luo, R., Tang, L., Zhong, S., Yang, Z., Wang, J., Weng, Y., Tu, Q., Jiang, C., & Huang, N. (2013) · ACS Applied Materials & Interfaces · doi:10.1021/am3027635 · Cited by 212
Cited by
Ti3C2 2D MXene: Recent Progress and Perspectives in Photocatalysis
Tang, R., Xiong, S., Gong, D., Deng, Y., Wang, Y., Su, L., Ding, C., Yang, L., & Liao, C. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c12905 · Cited by 259
Metadata
- Authors
- Huang, Q., Chen, J., Liu, M., Huang, H., Zhang, X., & Wei, Y.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 387
- Pages
- 124019
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W2999477244
- Cited by
- 280
- References
- 12
- FWCI
- 10.34
- 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: Polydopamine-based functional materials and their applications in energy, environmental, and catalytic fields: State-of-the-art review. https://app.cochat.ai/papers/10.1016/j.cej.2020.124019
- The paper
- Huang, Q., Chen, J., Liu, M., Huang, H., Zhang, X., & Wei, Y. (2020). Polydopamine-based functional materials and their applications in energy, environmental, and catalytic fields: State-of-the-art review. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2020.124019
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.