LC-GC×GC-TOF MS/FID: a multidimensional technique for complex samples (Giorgia Purcaro, MDCW 2023)

Mo, 6.11.2023
| Original article from: The Multidimensional Chromatography (MDC) Workshop
LC-GC×GC-TOF MS/FID is a powerful multidimensional analytical method for automated and reliable characterization of complex samples. Overview of the technique and application to mineral oil analysis in food.
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  • Photo: MDCW: LC-GC×GC-TOF MS/FID: a multidimensional technique for complex samples (Giorgia Purcaro, MDCW 2023)
  • Video: LabRulez: Eliane Lazzari: LC-GC×GC-TOF MS/FID: a multidimensional technique for complex samples (MDCW 2023)
  • 🎤 Presenter: Giorgia Purcaro (Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium)

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15th Multidimensional Chromatography (MDC) Workshop 2024

Abstract

The introduction of multidimensional and comprehensive techniques has revealed that complex samples can be hidden behind apparent simple ones. This understanding has pushed many scientists to study possible approaches for further boosting separation power, mainly by adding extra dimensions.

This presentation will focus on the potentialities of a fully integrated and validated LC-GC×GC platform coupled with a parallel dual detection, i.e., ToFMS and FID.

The coupling of an LC system with a GC one was first published by Majors in 1980 and the first automated commercial instrument (Dualchrom 3000) was introduced in 1989 by Carlo Erba (Italy). The LC–GC systems were intensively studied in the 1980s and 1990s by Grob and his group, but the system was almost abandoned later. In 1991 Phillips introduced the comprehensive two-dimensional technique (GC×GC), a powerful technique that gained immediate attention and is still growing exponentially.

The integration of the two two-dimensional techniques provides exponential benefits with an easy, robust and validated setup. The LC-GC×GC platform can provide an enhanced characterization of complex samples reaching efficient sample clean-up and/or a group-type separation of the analytes in the LC dimension and enhanced separation in the GC×GC dimension. It has been proved very useful to improve not only the full characterization of complex samples but also to simplify sample pre-treatment and provide more robust and validated routine analysis, particularly in the challenging topic of mineral oil analysis in food.

The Multidimensional Chromatography (MDC) Workshop
 

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