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Cited by 276

The DOI matches its Crossref record; 233 of the 233 references it cites were found in a registry or an index.

Current and Recent Advanced Strategies for Combating Biofilms

Sadekuzzaman, M., Yang, S., Mizan, M.F.R., Ha, S.D.·2015·Comprehensive Reviews in Food Science and Food Safety

Abstract

Biofilms are matrix‐enclosed microbial aggregates that adhere to a biological or nonbiological surface. Biofilm formation is a significant problem in the medical, food, and marine industries and can lead to substantial economic and health problems. The complex microbial community of a biofilm is highly resistant to antibiotics and sanitizers and confers persistent survival that is a challenge to overcome. There are several conventional approaches to combating biofilms, physical and/or mechanical removal, chemical removal, and the use of antimicrobials, sanitizers, or disinfectants to kill biofilm organisms. However, biofilms are highly resistant to these approaches as opposed to planktonic cells. Thus, novel approaches other than the conventional methods are urgently needed. In this review, we discuss current and new advanced antibiofilm strategies that are superior to the conventional method in terms of addressing the biofilm problem for the improvement of healthcare, food safety, and in industrial processes.

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Metadata

Authors
Sadekuzzaman, M., Yang, S., Mizan, M. F. R., & Ha, S. D.
Venue
Comprehensive Reviews in Food Science and Food Safety
Publisher
Wiley
Published
2015-06-04
Volume
14
Issue
4
Pages
491-509
ISSN
1541-4337 (ISSN-L)
OpenAlex
W1563428123
Cited by
276
References
233
FWCI
7.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Current and Recent Advanced Strategies for Combating Biofilms. https://app.cochat.ai/papers/10.1111/1541-4337.12144
The paper
Sadekuzzaman, M., Yang, S., Mizan, M. F. R., & Ha, S. D. (2015). Current and Recent Advanced Strategies for Combating Biofilms. Comprehensive Reviews in Food Science and Food Safety. https://doi.org/10.1111/1541-4337.12144

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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.