Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 29, 2015 - Issue 16
267
Views
7
CrossRef citations to date
0
Altmetric
Articles

An in vitro evaluation of the antibacterial activity of the non-volatile phenolic fraction from rosemary leaves

, , , , , & show all
Pages 1537-1544 | Received 26 Aug 2014, Accepted 07 Nov 2014, Published online: 04 Dec 2014
 

Abstract

In this study, the aim was to evaluate the antimicrobial action of the non-volatile phenols of rosemary leaves against two Gram-negative bacteria (Escherichia coli and Pseudomonas aeruginosa) and two Gram-positive bacteria (Staphylococcus aureus and Staphylococcus epidermidis). Three extracts with different phenolic compositions were tested. By the agar disc diffusion method, Gram-positive bacteria were more sensitive to the extracts, and S. epidermidis showed the highest inhibition zones. Overall, all the extracts tested by the broth dilution method showed higher activity than results from the agar disc diffusion method. The minimal bactericidal concentration values indicated that E. coli was the most susceptible strain. This study demonstrated that the flavonoidic fraction of rosemary leaves does not play a crucial role as antimicrobial agents against these microorganisms. The most active extract was characterised by the highest amount of non-volatile terpenoidic compounds.

Acknowledgements

We are grateful to Ente Cassa di Risparmio di Firenze for supplying a part of the instrumentation used for this research and Dr Sandra Gallori for her support to the graphical aspects.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.