PEFTEC - Abstract

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Abstract Title: Simplifying GCxGC – streamlined software for fast characterization of petrochemicals
Abstract Type: Oral
Session Choice: Multidimensional and Comprehensive Separation Science
Presenter Name: Dr Aaron Parker
Co-authors:Dr Nick Bukowski
Mr Laura McGregor
Mr Bob Green
Company/Organisation: SepSolve Analytical
Country: United Kingdom

Abstract Information :

Comprehensive two-dimensional gas chromatography (GCxGC) has been proven to be an ideal platform for the analysis of complex mixtures, but the data processing aspect has a reputation as being difficult and time-consuming.

GCxGC data exploration, filtering and mining need not be complex, and can be implemented in an environment that is based on classical peak detection algorithms and chromatographic rules.

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 to any high-throughput laboratory, by enabling sophisticated peak merging, flexible data navigation and streamlined workflow.