Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 34, 2020 - Issue 18
407
Views
6
CrossRef citations to date
0
Altmetric
Short Communications

Screening and characterization of medicinal plants extracts with bactericidal activity against Streptococcus mutans

, , , ORCID Icon, &
Pages 2672-2676 | Received 13 May 2018, Accepted 17 Nov 2018, Published online: 08 Jan 2019
 

Abstract

The aim of the present study was to perform a screening of extracts obtained from 15 medicinal plants using water (at 25 and 90 °C) or ethanol (at 25 °C), to bactericidal activity against cariogenic S. mutans ATCC 25175, as well as to carry out the preliminary phytochemical characterization of the extracts and HPLC/MS assay for selected extracts. The extractions were carried out for 5 h at 400 rpm. Only five from 45 tested extracts were selected based on their antibacterial activity. The IC50 varied from of 28 ppm for Quercus ilex up to 250 ppm for Jatropha dioica. Different polyphenolic and quinic acids, flavonoids, anthocyanin or tyrosol were identified by HPLC/MS in selected extracts from Rosa gallica L., Jatropha dioica Sessé, Mimosa tenuiflora (Willd.) Poir, Quercus ilex L., and Solanum nigrum. The obtained results confirm that selected extracts are good candidates to be used for cariogenic bacteria control.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the authors.

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.