Literature DB >> 33052001

Diversity Analysis and Associated Antimicrobial Activity of Essential Oil in Pyrrosia petiolosa.

Ya Fan1, Xiaowei Xin2, Li Liu1, Haiyang Feng1, Ping Wang3, Yingying Zhang3, Demin Gao1.   

Abstract

The continued development of folk medicine to potentially treat infectious diseases has resulted in an increase in natural sources of antimicrobial agents, particularly the use of plant essential oils containing volatile products from secondary metabolism. The objectives of this investigation were to (i) analyze the chemical components of essential oils using GC/MS and (ii) to examine their in vitro antimicrobial activities against four strains of bacteria (Staphylococcus aureus, Bacillus subtilis, Escherichia coli and Shigella flexneri) and one fungus (Candida albicans) by determining minimum inhibitory concentrations (MICs) and minimum bactericidal concentrations (MBCs) in liquid and solid media, respectively, from different Pyrrosia petiolosa locations. Eighty-eight evaporable compounds were confirmed in their essential oils; the major components in the oils were 2,4-pentadienal (12.5 %), phytol (10.5 %) and nonanal (8.6 %). Based on hierarchical cluster analysis, Pyrrosia samples were categorized into four groups, indicating significant essential oil diversity from different Pyrrosia locations. Results also indicated that essential oils had a broad spectrum of antibacterial activities, particularly against Shigella flexneri and Staphylococcus aureus with MICs of 5 μL/mL. Results from this investigation are the first to record the chemical component and antimicrobial potential of essential oils from different P. Petiolosa locations.
© 2020 Wiley-VHCA AG, Zurich, Switzerland.

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Keywords:  GC/MS; Pyrrosia petiolosa; antibacterial activity; essential oil; hierarchical cluster analysis

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Year:  2020        PMID: 33052001     DOI: 10.1002/cbdv.202000666

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  1 in total

1.  AKR1C1 Contributes to Cervical Cancer Progression via Regulating TWIST1 Expression.

Authors:  Xing Wei; Zhongheng Wei; Yueyong Li; Zhongqiu Tan; Cheng Lin
Journal:  Biochem Genet       Date:  2020-11-10       Impact factor: 1.890

  1 in total

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