Please use this identifier to cite or link to this item:
Type: Artigo
Title: Discrimination Of Eugenia Uniflora L. Biotypes Based On Volatile Compounds In Leaves Using Hs-spme/gc-ms And Chemometric Analysis
Author: Mesquita
Paulo R. R.; Nunes
Estefane C.; dos Santos
Fabio N.; Bastos
Lucimario P.; Costa
Maria A. P. C.; Rodrigues
Frederico de M.; de Andrade
Jailson B.
Abstract: The volatile profile of Eugenia uniflora leaves from different fruit colors biotypes was established using headspace solid-phase microextraction combined with gas chromatography-quadrupole mass spectrometry (HS-SPME/GC-MS). The optimization of the extraction conditions was carried out using multivariate strategies, which were factorial design and response surface methodology. The highest extraction efficiency was achieved with 0.1 g of leaf sample, using a Carboxen/Polydimethylsiloxane (CAR/PDMS, 75 mu m) fiber for 60 min at 54 degrees C. After optimization, all samples were analyzed with the optimized extraction conditions that allowed for identify 33 VOCs, belonging to different chemical groups namely hydrocarbon monoterpenes, hydrocarbon sesquiterpenes, oxygenated monoterpenes, oxygenated sesquiterpenes and other compounds. The compounds found in higher relative abundance in leaves samples with biotypes orange, red and purple were germacrene B (9.55, 9.04 e 9.60%), gamma-elemene (8.55, 8.14 e 7.97%), beta-elemene (7.37, 4.99 e 9.26%), germacrene D (5.48, 6.08 e 6.46%), gamma-muurolene (5.28, 7.67 e 5.02%) e beta-caiyophillene (7.09, 3.44 e 5.17%), respectively. Heatmap showed that the orange group was clearly distinct from the red and purple groups, with higher amounts of all hydrocarbon monoterpenes. While samples of red and purple biotypes presented great similarity in VOCS profile. Principal component analysis (PCA) and hierarchical clustering analysis (HCA) provided a suitable tool to differentiate the volatile profiles in plants leaves with different kinds of fruit color biotypes, pointing to the possibility of different varieties for this kind of plant. (C) 2016 Elsevier B.V. All rights reserved.
Subject: Eugenia Uniflora
Volatile Metabolites
Chemical Variability
Multivariate Optimization
Editor: Elsevier Science BV
Citation: Microchemicai Journal. Elsevier Science Bv, v. 130, p. 79 - 87, 2017.
Rights: fechado
Identifier DOI: 10.1016/j.microc.2016.08.005
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000390072400012.pdf1.56 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.