Chapter 9: Gas chromatography-olfactometry: Principles, practical aspects and applications in food analysis

M. Steinhaus*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

40 Scopus citations

Abstract

Today, sensory aspects are the major driver for consumers' food selection. Among the sensory-active compounds in food, odorants play a major role. The olfactory profile of a food is basically determined by a comparably small number of key odorants, typically in the range of 10-20. Toward the identification of these key food odorants, gas chromatography-olfactometry (GC-O) is a key technique. With little effort, GC-O allows the screening of the volatiles isolated from a food for odor-active compounds and to distinguish them from the majority of odorless volatiles. Gas chromatography-olfactometry is based on using the human nose as a GC detector in parallel to a second detector such as a flame ionization detector or a mass spectrometer. Special care must be taken with sample preparation to avoid compound degradation and the formation of odor-active artifacts. On the basis of the GC-O results, the key odorants in a food can be determined after exact quantitation of potent odorants and calculation of odor activity values followed by sensory evaluation of odor reconstitution models. In food research, GC-O can be applied, for example, to discover novel odorants, to elucidate the molecular basis of varietal aroma differences and off-flavors and to optimize food processing, as well as to approximate odor thresholds, particularly in structure/odor relation studies.

Original languageEnglish
Title of host publicationMitigating Contamination from Food Processing
EditorsPeter Q. Tranchida
PublisherRoyal Society of Chemistry
Pages337-399
Number of pages63
Edition17
ISBN (Electronic)9781782629221, 9781788011273, 9781788011785, 9781788012164
DOIs
StatePublished - 2020
Externally publishedYes

Publication series

NameFood Chemistry, Function and Analysis
Number17
Volume2020-January
ISSN (Print)2398-0656
ISSN (Electronic)2398-0664

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