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 AbstractPerireceptor events in taste    Next AbstractTwo-dimensional gas chromatographic profiling as a tool for a rapid screening of the changes in volatile composition occurring due to microoxygenation of red wines »

J Chromatogr A


Title:Profiling analysis of volatile compounds from fruits using comprehensive two-dimensional gas chromatography and image processing techniques
Author(s):Schmarr HG; Bernhardt J;
Address:"Dienstleistungszentrum Landlicher Raum Rheinpfalz, Viticulture and Enology Group, Breitenweg 71, D-67435 Neustadt a.d. Weinstrabetae, Germany. hans-georg.schmarr@dlr.rlp.de"
Journal Title:J Chromatogr A
Year:2010
Volume:20091124
Issue:4
Page Number:565 - 574
DOI: 10.1016/j.chroma.2009.11.063
ISSN/ISBN:1873-3778 (Electronic) 0021-9673 (Linking)
Abstract:"An image processing approach originating from the proteomics field has been transferred successfully to the processing of data obtained with comprehensive two-dimensional gas chromatographic separations data. The approach described here has proven to be a useful analytical tool for unbiased pattern comparison or profiling analyses, as demonstrated with the differentiation of volatile patterns ('aroma') from fruits such as apples, pears, and quince fruit. These volatile patterns were generated by headspace solid phase microextraction coupled to comprehensive two-dimensional gas chromatography (HS-SPME-GC x GC). The data obtained from GC x GC chromatograms were used as contour plots which were then converted to gray-scale images and analyzed utilizing a workflow derived from 2D gel-based proteomics. Run-to-run variations between GC x GC chromatograms, respectively their contour plots, have been compensated by image warping. The GC x GC images were then merged into a fusion image yielding a defined and project-wide spot (peak) consensus pattern. Within detected spot boundaries of this consensus pattern, relative quantities of the volatiles from each GC x GC image have been calculated, resulting in more than 700 gap free volatile profiles over all samples. These profiles have been used for multivariate statistical analysis and allowed clustering of comparable sample origins and prediction of unknown samples. At present state of development, the advantage of using mass spectrometric detection can only be realized by data processing off-line from the identified software packages. However, such information provides a substantial basis for identification of statistically relevant compounds or for a targeted analysis"
Keywords:"Chromatography, Gas/*methods Fruit/*chemistry Malus/chemistry Pyrus/chemistry Rosaceae/chemistry *Software Volatile Organic Compounds/*analysis;"
Notes:"MedlineSchmarr, Hans-Georg Bernhardt, Jorg eng Netherlands 2009/12/18 J Chromatogr A. 2010 Jan 22; 1217(4):565-74. doi: 10.1016/j.chroma.2009.11.063. Epub 2009 Nov 24"

 
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 27-12-2024