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 AbstractEffects of architecture structure on volatile organic compound and polycyclic aromatic hydrocarbon diffusion in Singapore's Integrated Transport Hubs    Next Abstract[The effects of wearing protective devices among residents and volunteers participating in the cleanup of the Hebei Spirit oil spill] »

J Agric Food Chem


Title:Characterization of odor-active compounds in Californian chardonnay wines using GC-olfactometry and GC-mass spectrometry
Author(s):Lee SJ; Noble AC;
Address:"Department of Viticulture and Enology, University of California, Davis, California 95616, USA. sejlee@kfri.re.kr"
Journal Title:J Agric Food Chem
Year:2003
Volume:51
Issue:27
Page Number:8036 - 8044
DOI: 10.1021/jf034747v
ISSN/ISBN:0021-8561 (Print) 0021-8561 (Linking)
Abstract:"Nineteen commercial Californian Chardonnay wines were analyzed by gas chromatography-mass spectrometry (GC-MS). Freon extracts of wines were separated by silica gel chromatography into three fractions. Volatiles were quantified by GC analysis of each fraction using internal standards added to the wine prior to Freon extraction. Twelve of the 19 wines were evaluated by GC-Olfactometry (GC-O). Of the 81 compounds shown to be odor-active (OA) by GC/O, 74 were quantified and 61 were tentatively identified, all of which had been previously reported in grapes or wines. Overall concentrations of compounds with floral or oak-related aromas were higher in wines shown by descriptive analysis to be high in intensity of either floral or oak notes, respectively. The relationship between sensory intensity ratings from a previous descriptive analysis of the wines and 74 OA compounds was modeled by partial least-squares regression (PLS) analysis. This PLS model only explained 17% of the variation in the OA variables, whereas a PLS using a subset of 16 OA peaks explained 64 and 47% of variance in the sensory and GC data, respectively. Fruity wines high in peach, citrus, and floral terms were separated from those high in oak-related sensory attributes (oak, vanilla, caramel, spice, and butter). In both PLS models, the fruity and floral terms were associated with isoamyl acetate, 2-phenylethyl acetate, linalool and two unknowns exhibiting minty and bandaid-caramel odors; the oaky attributes were associated with vanillin, oak-lactones, 4-ethyl guaiacol, gamma-nonalactone, 2-acetyl furan, eugenol, 2-methoxy phenol, and two unknowns with plastic and smoky odors"
Keywords:"Chromatography, Gas/*methods *Gas Chromatography-Mass Spectrometry Humans Odorants/*analysis Regression Analysis *Smell Volatilization Wine/*analysis;"
Notes:"MedlineLee, Seung-Joo Noble, Ann C eng 2003/12/24 J Agric Food Chem. 2003 Dec 31; 51(27):8036-44. doi: 10.1021/jf034747v"

 
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 26-12-2024