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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Review on plant antimicrobials: a mechanistic viewpoint

Open access
Khameneh, Bahman, Iranshahy, Milad, Soheili, Vahid, Fazly Bazzaz, Bibi Sedigheh·2019·Antimicrobial Resistance & Infection Control

Abstract

Microbial resistance to classical antibiotics and its rapid progression have raised serious concern in the treatment of infectious diseases. Recently, many studies have been directed towards finding promising solutions to overcome these problems. Phytochemicals have exerted potential antibacterial activities against sensitive and resistant pathogens via different mechanisms of action. In this review, we have summarized the main antibiotic resistance mechanisms of bacteria and also discussed how phytochemicals belonging to different chemical classes could reverse the antibiotic resistance. Next to containing direct antimicrobial activities, some of them have exerted in vitro synergistic effects when being combined with conventional antibiotics. Considering these facts, it could be stated that phytochemicals represent a valuable source of bioactive compounds with potent antimicrobial activities.

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Metadata

Authors
Khameneh, B., Iranshahy, M., Soheili, V., & Fazly Bazzaz, B. S.
Venue
Antimicrobial Resistance & Infection Control
Published
2019-07-16
Volume
8
Issue
1
Pages
118-118
ISSN
2047-2994 (ISSN-L)
OpenAlex
W2957102650
Cited by
891
References
5
FWCI
71.99
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Review on plant antimicrobials: a mechanistic viewpoint. https://app.cochat.ai/papers/10.1186/s13756-019-0559-6
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Khameneh, B., Iranshahy, M., Soheili, V., & Fazly Bazzaz, B. S. (2019). Review on plant antimicrobials: a mechanistic viewpoint. Antimicrobial Resistance & Infection Control. https://doi.org/10.1186/s13756-019-0559-6

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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.