PEFTEC 2017 - Abstract

Abstract Title: Enhanced workflows in GCxGC data processing
Abstract Type: Poster
Presenter Name: Dr Laura McGregor
Co-authors:Dr Nick Bukowski
Dr Natasha Spadafora
Mr Bob Green
Company/Organisation: Markes International
Session Choice: Analytical Techniques: Chromatography and Separations

Abstract Information :

Comprehensive two-dimensional gas chromatography forms the ideal platform for analysis of complex mixtures. However, it has a reputation as being a complex technique involving time-consuming data processing.

Here we will demonstrate simple yet effective GCxGC data processing for a range of file types, proving that this technique can be a productive contributor of any high-throughput laboratory, by enabling sophisticated peak merging, flexible data navigation and streamlined workflows.

Time-saving features, such as instant display of library matches and dynamically-linked panes, make GCxGC data exploration effortless, while a unique combination of peak perception algorithms ensures that even trace-level, masked peaks are not overlooked or incorrectly merged.