Literature DB >> 30445846

GC-MS and GC-FID analyses of the volatile constituents of Brachychiton rupestris and Brachychiton discolor, their biological activities and their differentiation using multivariate data analysis.

Amany A Thabet1, Fadia S Youssef1, Mohamed El-Shazly1,2, Abdel Nasser B Singab1.   

Abstract

The volatile constituents of the leaves and flowers of Brachychiton rupestris and Brachychiton discolor (Malvaceae) were characterized by GC-FID and GC-MS. A total of 92 compounds were identified. The major component of B. rupestris leaves was α-farnesene (34.57%) while in the flowers it was n-heptacosane (29.5%). (8Z, 11Z, 14Z)-heptadecatrienal (21.2%) in the leaves and palmitic acid (83.49%) in the flowers represent the abundant ingredients of B. discolor. Unsupervised pattern recognition techniques of multivariate data analysis exemplified by hierarchical cluster analysis (HCA) and principle component analysis (PCA) relying upon chromatographic results effectively discriminate the two related species. Also, both investigated species were assessed for their cytotoxic and antimicrobial efficacy. Results revealed that B. discolor flowers showed the highest cytotoxicity against human lung carcinoma (A-549) cell lines with IC50 equals 7.98 μg/mL, whereas B. discolor leaves exhibited the highest antimicrobial potency against all tested microorganisms namely Streptococcus pneumonia, Bacillus subtilis, Escherichia coli as well as Aspergillus fumigatus and Geotrichum candidum (MICs between 0.98 and 15.63 µg/mL) except for Salmonella typhi.

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Keywords:  Antimicrobial activity; Brachychiton; cytotoxicity; malvaceae; multivariate data analysis

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Year:  2018        PMID: 30445846     DOI: 10.1080/14786419.2018.1490908

Source DB:  PubMed          Journal:  Nat Prod Res        ISSN: 1478-6419            Impact factor:   2.861


  1 in total

1.  Premna odorata: Seasonal Metabolic Variation in the Essential Oil Composition of Its Leaf and Verification of Its Anti-Ageing Potential via In Vitro Assays and Molecular Modelling.

Authors:  Ahmed E Altyar; Mohamed L Ashour; Fadia S Youssef
Journal:  Biomolecules       Date:  2020-06-08
  1 in total

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