Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractAnalysis of volatile compounds by open-air ionization mass spectrometry    Next AbstractIdentification of phytotoxins in different plant parts of Brassica napus and their influence on mung bean »

Food Chem


Title:Differentiation of lemon essential oil based on volatile and non-volatile fractions with various analytical techniques: a metabolomic approach
Author(s):Mehl F; Marti G; Boccard J; Debrus B; Merle P; Delort E; Baroux L; Raymo V; Velazco MI; Sommer H; Wolfender JL; Rudaz S;
Address:"School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 30, Quai Ernest-Ansermet, 1211 Geneva 4, Switzerland"
Journal Title:Food Chem
Year:2014
Volume:20130803
Issue:
Page Number:325 - 335
DOI: 10.1016/j.foodchem.2013.07.125
ISSN/ISBN:1873-7072 (Electronic) 0308-8146 (Linking)
Abstract:"Due to the importance of citrus lemon oil for the industry, fast and reliable analytical methods that allow the authentication and/or classification of such oil, using the origin of production or extraction process, are necessary. To evaluate the potential of volatile and non-volatile fractions for classification purposes, volatile compounds of cold-pressed lemon oils were analyzed, using GC-FID/MS and FT-MIR, while the non-volatile residues were studied, using FT-MIR, (1)H-NMR and UHPLC-TOF-MS. 64 Lemon oil samples from Argentina, Spain and Italy were considered. Unsupervised and supervised multivariate analyses were sequentially performed on various data blocks obtained by the above techniques. Successful data treatments led to statistically significant models that discriminated and classified cold-pressed lemon oils according to their geographic origin, as well as their production processes. Studying the loadings allowed highlighting of important classes of discriminant variables that corresponded to putative or identified chemical functions and compounds"
Keywords:"Argentina Citrus/*chemistry/metabolism Discriminant Analysis Gas Chromatography-Mass Spectrometry Italy Magnetic Resonance Spectroscopy Metabolomics/*methods Multivariate Analysis Oils, Volatile/*chemistry/metabolism Plant Oils/*chemistry/metabolism Spain;"
Notes:"MedlineMehl, Florence Marti, Guillaume Boccard, Julien Debrus, Benjamin Merle, Philippe Delort, Estelle Baroux, Lucie Raymo, Vilfredo Velazco, Maria Ines Sommer, Horst Wolfender, Jean-Luc Rudaz, Serge eng England 2013/09/24 Food Chem. 2014 Jan 15; 143:325-35. doi: 10.1016/j.foodchem.2013.07.125. Epub 2013 Aug 3"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 05-12-2024