The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Supramolecular Antibacterial Materials for Combatting Antibiotic Resistance
Abstract
Antibiotic‐resistant bacteria have emerged as a severe threat to human health. As effective antibacterial therapies, supramolecular materials display unprecedented advantages because of the flexible and tunable nature of their noncovalent interactions with biomolecules and the ability to incorporate various active agents in their platforms. Herein, supramolecular antibacterial materials are discussed using a format that focuses on their fundamental active elements and on recent advances including material selection, fabrication methods, structural characterization, and activity performance.
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Cites
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Cited by
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Self-citationChitosan-Based Functional Materials for Skin Wound Repair: Mechanisms and Applications
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Organic photosensitizers for antimicrobial phototherapy
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Self-citationRecent advances of multi-dimensional porphyrin-based functional materials in photodynamic therapy
Tian, J., Huang, B., Nawaz, M. H., & Zhang, W. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213410 · Cited by 369
Metadata
- Authors
- Li, X., Bai, H., Yang, Y., Yoon, J., Wang, S., & Zhang, X.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-12-07
- Volume
- 31
- Issue
- 5
- Pages
- e1805092-e1805092
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2904376892
- Cited by
- 542
- References
- 10
- FWCI
- 21.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, X., Bai, H., Yang, Y., Yoon, J., Wang, S., & Zhang, X. (2019). Supramolecular Antibacterial Materials for Combatting Antibiotic Resistance. Advanced Materials. https://doi.org/10.1002/adma.201805092
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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.
