|Abstract Title:||Simplifying GCxGC – streamlined software for fast characterization of petrochemicals|
|Session Choice:||Multidimensional and Comprehensive Separation Science|
|Presenter Name:||Dr Aaron Parker|
|Co-authors:||Dr Nick Bukowski|
Mr Laura McGregor
Mr Bob Green
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.