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