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Floral scent of brazilian Passiflora: five species analised by dynamic headspace

Overview of attention for article published in Anais da Academia Brasileira de Ciências, September 2016
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Article details
Title
Floral scent of brazilian Passiflora: five species analised by dynamic headspace
Published in
Anais da Academia Brasileira de Ciências, September 2016
DOI 10.1590/0001-3765201620150285
Pubmed ID
Authors

Daniel A V Montero, Marcia Ortiz M Marques, Laura M M Meletti, Maria H VAN Kampen, Sandra C Polozzi

Abstract

This study describes for the first time the chemical composition and olfactive description of floral scent from Brazilian Passiflora (Passiflora edulis Sim, Passiflora alata Curtis, Passiflora cincinnata Mast., Passiflora coccinea Aubl. and Passiflora quadrangularis L.). Five species were grown in greenhouse at the Agronomic Institute (IAC), São Paulo, Brazil. Volatile compounds were collected using dynamic headspace. Analyses of scent composition were performed by gas chromatograph coupled to mass spectrometer. Identification of chemical constituents was conducted through of retention index followed by comparative analysis of mass spectra with specialized databases. The olfactive descriptions of floral scent from each species was evaluated for a professional perfumer. High interspecific diversity was found between chemical compositions of floral scent within Passiflora and different bouquets were observed amount the studied species. Mayor constituents were linalool (P. alata), geraniol (P. quadrangularis), 1,4-dimethoxybenzene (P. edulis), benzaldehyde (P. cincinnata) and 2-methyl-3-pentanone (P. coccinea).

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Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Ph. D. Student 6 14%
Researcher 6 14%
Student > Master 5 11%
Professor 4 9%
Other 4 9%
Unknown 10 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Chemistry 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Environmental Science 2 5%
Other 7 16%
Unknown 13 30%