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The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.

Plant-Derived Antimicrobial Compounds: Alternatives to Antibiotics

Savoia, Dianella·2012·Future Microbiology

Abstract

The increasing incidence of drug-resistant pathogens has drawn the attention of the pharmaceutical and scientific communities towards studies on the potential antimicrobial activity of plant-derived substances, an untapped source of antimicrobial chemotypes, which are used in traditional medicine in different countries. The aim of this review is to provide recent insights regarding the possibilities of the most important natural antimicrobial compounds derived from plant sources containing a wide variety of secondary metabolites, which are useful as alternative strategies to control infectious diseases. This review will focus on natural plant products as a useful source of antimicrobial molecules, active in particular, on bacteria and fungi. When considering that many of these compounds, which have been used for centuries, are a source of new drugs and that there are ever-increasing technical breakthroughs, it can be envisaged that in the next years some different molecules discovered by ingenious screening programs and obtained from different plant oils and extracts will become useful therapeutic tools.

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Show all 105 references

Research works printed but not linked: 25

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Metadata

Authors
Savoia, D.
Venue
Future Microbiology
Published
2012-08
Volume
7
Issue
8
Pages
979-990
ISSN
  • 1746-0913 (ISSN-L)
  • 1746-0921
OpenAlex
W2161638921
Cited by
601
References
105
FWCI
29.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Plant-Derived Antimicrobial Compounds: Alternatives to Antibiotics. https://app.cochat.ai/papers/10.2217/fmb.12.68
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Savoia, D. (2012). Plant-Derived Antimicrobial Compounds: Alternatives to Antibiotics. Future Microbiology. https://doi.org/10.2217/fmb.12.68

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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.