The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Recent Progress in Polymer Research to Tackle Infections and Antimicrobial Resistance
Abstract
Global health is increasingly being threatened by the rapid emergence of drug-resistant microbes. The ability of these microbes to form biofilms has further exacerbated the scenario leading to notorious infections that are almost impossible to treat. For addressing this clinical threat, various antimicrobial polymers, polymer-based antimicrobial hydrogels and polymer-coated antimicrobial surfaces have been developed in the recent past. This review aims to discuss such polymer-based antimicrobial strategies with a focus on their current advancement in the field. Antimicrobial polymers, whose designs are inspired from antimicrobial peptides (AMPs), are described with an emphasis on structure-activity analysis. Additionally, antibiofilm activity and in vivo efficacy are delineated to elucidate the real potential of these antimicrobial polymers as possible therapeutics. Antimicrobial hydrogels, prepared from either inherently antimicrobial polymers or biocide-loaded into polymer-derived hydrogel matrix, are elaborated followed by various strategies to engineer polymer-coated antimicrobial surfaces. In the end, the current challenges are accentuated along with future directions for further expansion of the field toward tackling infections and antimicrobial resistance.
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Cites
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Cited by
Balasubramaniam, B., Prateek, Ranjan, S., Saraf, M., Kar, P., Singh, S. P., Thakur, V. K., Singh, A., & Gupta, R. K. (2021) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.0c00174 · Cited by 285
Metadata
- Authors
- Konai, M. M., Bhattacharjee, B., Ghosh, S., & Haldar, J.
- Venue
- Biomacromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-05-02
- Volume
- 19
- Issue
- 6
- Pages
- 1888-1917
- ISSN
- 1525-7797 (ISSN-L)
- 1526-4602
- OpenAlex
- W2801621239
- Cited by
- 281
- References
- 12
- FWCI
- 11.92
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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