Simplifying GCxGC - streamlined software for fast characterization of petrochemicals
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.
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Aaron Parker (SepSolve Analytical)
Aaron Parker studied chemistry at the University of York and following this spent six years working within an environmental analytical laboratory, where he was responsible for developing analytical methods to accredited status for multiple analytical instruments, specialising in GC-MS. In his current position, he is responsible for supporting SepSolve's customers and carrying out business development activities in Europe.
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