The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.
Wound Dressing: From Nanomaterials to Diagnostic Dressings and Healing Evaluations
Abstract
Wound dressings based on nanomaterials play a crucial role in wound treatment and are widely used in a whole range of medical settings, from minor to life-threatening tissue injuries. This article presents an educational review on the accumulating knowledge in this multidisciplinary area to lay out the challenges and opportunities that lie ahead and ignite the further and faster development of clinically valuable technologies. The review analyzes the functional advantages of nanomaterial-based gauzes and hydrogels as well as hybrid structures thereof. On this basis, the review presents state-of-the-art advances to transfer the (semi)blind approaches to the evaluation of a wound state to smart wound dressings that enable real-time monitoring and diagnostic functions that could help in wound evaluation during healing. This review explores the translation of nanomaterial-based wound dressings and related medical aspects into real-world use. The ongoing challenges and future opportunities associated with nanomaterial-based wound dressings and related clinical decisions are presented and reviewed.
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
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
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542
Nanozymes: Classification, Catalytic Mechanisms, Activity Regulation, and Applications
Huang, Y., Ren, J., & Qu, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00672 · Cited by 3,523
Nanozyme: new horizons for responsive biomedical applications
Jiang, D., Ni, D., Rosenkrans, Z. T., Huang, P., Yan, X., & Cai, W. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00718g · Cited by 1,793
Nanotechnology as a therapeutic tool to combat microbial resistance
Pelgrift, R. Y., & Friedman, A. J. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.07.011 · Cited by 1,432
Membrane lipid homeostasis in bacteria
Zhang, Y.-M., & Rock, C. O. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1839 · Cited by 1,393
Skin Wound Healing Process and New Emerging Technologies for Skin Wound Care and Regeneration
Tottoli, E. M., Dorati, R., Genta, I., Chiesa, E., Pisani, S., & Conti, B. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12080735 · Cited by 1,340
Liang, Y., Zhao, X., Hu, T., Chen, B., Yin, Z., Ma, P. X., & Guo, B. (2019) · Small · doi:10.1002/smll.201900046 · Cited by 1,281
Hydrogel microparticles for biomedical applications
Daly, A. C., Riley, L., Segura, T., & Burdick, J. A. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0148-6 · Cited by 1,249
Cited by
Huang, Y., Guo, X., Wu, Y., Chen, X., Feng, L., Xie, N., & Shen, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01745-z · Cited by 490
Chitosan and hyaluronic-based hydrogels could promote the infected wound healing
Bai, Q., Gao, Q., Hu, F., Zheng, C., Chen, W., Sun, N., Liu, J., Zhang, Y., Wu, X., & Lu, T. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.123271 · Cited by 125
Wang, W., Jia, B., Xu, H., Li, Z., Qiao, L., Zhao, Y., Huang, H., Zhao, X., & Guo, B. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.143362 · Cited by 85
Metadata
- Authors
- Zeng, Q., Qi, X., Shi, G., Zhang, M., & Haick, H.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-01-20
- Volume
- 16
- Issue
- 2
- Pages
- 1708-1733
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4206779940
- Cited by
- 532
- References
- 133
- FWCI
- 39.36
- 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: Wound Dressing: From Nanomaterials to Diagnostic Dressings and Healing Evaluations. https://app.cochat.ai/papers/10.1021/acsnano.1c08411
- The paper
- Zeng, Q., Qi, X., Shi, G., Zhang, M., & Haick, H. (2022). Wound Dressing: From Nanomaterials to Diagnostic Dressings and Healing Evaluations. ACS Nano. https://doi.org/10.1021/acsnano.1c08411
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.
