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Cited by 743

The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.

Understanding bacterial biofilms: From definition to treatment strategies

Open access
Zhao, Ailing, Sun, Jiazheng, Liu, Yipin·2023·Frontiers in Cellular and Infection Microbiology

Abstract

Bacterial biofilms are complex microbial communities encased in extracellular polymeric substances. Their formation is a multi-step process. Biofilms are a significant problem in treating bacterial infections and are one of the main reasons for the persistence of infections. They can exhibit increased resistance to classical antibiotics and cause disease through device-related and non-device (tissue) -associated infections, posing a severe threat to global health issues. Therefore, early detection and search for new and alternative treatments are essential for treating and suppressing biofilm-associated infections. In this paper, we systematically reviewed the formation of bacterial biofilms, associated infections, detection methods, and potential treatment strategies, aiming to provide researchers with the latest progress in the detection and treatment of bacterial biofilms.

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Crossref · 10.3389/fcimb.2023.1137947

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Metadata

Authors
Zhao, A., Sun, J., & Liu, Y.
Venue
Frontiers in Cellular and Infection Microbiology
Published
2023-04-06
Volume
13
Pages
1137947-1137947
ISSN
2235-2988 (ISSN-L)
OpenAlex
W4362672788
Cited by
743
References
216
FWCI
55.67
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Understanding bacterial biofilms: From definition to treatment strategies. https://app.cochat.ai/papers/10.3389/fcimb.2023.1137947
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Zhao, A., Sun, J., & Liu, Y. (2023). Understanding bacterial biofilms: From definition to treatment strategies. Frontiers in Cellular and Infection Microbiology. https://doi.org/10.3389/fcimb.2023.1137947

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.