Injection artifacts in odorant analysis by gas chromatography

Odor-active compounds are major quality parameters in food and other consumer products. In the analysis of odorants, gas chromatography (GC) plays a dominant role and is particularly indispensable for odorant screening by GC-olfactometry (GC-O). Whereas artifact formation during workup before GC analysis has been widely discussed, artifact formation during GC injection has not been adequately addressed so far. Using a set of 14 test compounds, we evaluated ten different GC injection approaches. Artifact-producing reactions were particularly 1,2-eliminations. Linalyl acetate additionally showed [1,3]-sigmatropic shifts. On-column injection was confirmed as the gold standard, with virtually zero artifact formation observed not only with classic cold on-column injection in the oven, but also with on-column injection in a programmable temperature vaporizing (PTV) injector. Substantial artifact formation was observed when a high fixed injector temperature was combined with splitless injection. This applied to the injection of liquid samples but even more so to headspace solid-phase microextraction (HS-SPME) approaches. In conclusion, we recommend using on-column injection whenever aiming at a representative odorant spectrum, such as in GC-O. In targeted analysis, critical approaches such as SPME should be carefully tested for artifact formation. For the evaluation of the artifact formation potential of different injection approaches, cedryl acetate emerged as an excellent test compound.

Authors

Institutions

Publication Details

Journal
Journal of Chromatography A
Published
2024-12-21
DOI
https://doi.org/10.1016/j.chroma.2024.465624
Citations
10
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Injection artifacts in odorant analysis by gas chromatography

J. Reinhardt, Martin Steinhaus
10 citations
Journal of Chromatography A
Advanced Chemical Sensor Technologies
1.84
article

Injection artifacts in odorant analysis by gas chromatography

J. Reinhardt, Martin Steinhaus
article en
10 citations

Abstract

Odor-active compounds are major quality parameters in food and other consumer products. In the analysis of odorants, gas chromatography (GC) plays a dominant role and is particularly indispensable for odorant screening by GC-olfactometry (GC-O). Whereas artifact formation during workup before GC analysis has been widely discussed, artifact formation during GC injection has not been adequately addressed so far. Using a set of 14 test compounds, we evaluated ten different GC injection approaches. Artifact-producing reactions were particularly 1,2-eliminations. Linalyl acetate additionally showed [1,3]-sigmatropic shifts. On-column injection was confirmed as the gold standard, with virtually zero artifact formation observed not only with classic cold on-column injection in the oven, but also with on-column injection in a programmable temperature vaporizing (PTV) injector. Substantial artifact formation was observed when a high fixed injector temperature was combined with splitless injection. This applied to the injection of liquid samples but even more so to headspace solid-phase microextraction (HS-SPME) approaches. In conclusion, we recommend using on-column injection whenever aiming at a representative odorant spectrum, such as in GC-O. In targeted analysis, critical approaches such as SPME should be carefully tested for artifact formation. For the evaluation of the artifact formation potential of different injection approaches, cedryl acetate emerged as an excellent test compound.

Journal of Chromatography AVol. 1741
Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE), Technical University of Munich (DE)
Openalex Percentile: Top 15%
Advanced Chemical Sensor Technologies
1.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.