We've updated our Privacy Policy to make it clearer how we use your personal data.
We use cookies to provide you with a better experience, read our Cookie Policy
EP27345
Abstract: Comprehensive two-dimensional gas chromatography (GCxGC) combined with time-of-flight mass spectrometry (TOFMS) is a well-established technique for characterization of petroleum samples because of the ability to separate structural classes of hydrocarbons into distinct bands of analytes that can then be identified with library-matched mass spectra. However, transferring traditional one-dimensional gas chromatography methods to optimized two-dimensional methods can be daunting because of the sheer number of options available for setting up commercial GCxGC systems—choosing orthogonal column phases, secondary oven temperature offsets, modulator temperatures, and second dimension separation period lengths. Using a new online tool, Simply GCxGC™, the process of translating an existing analysis into an optimized GCxGC method is experimentally determined for a sample of diesel fuel. Calculations that maximize use of two-dimensional space and minimize analyte wrap-around are applied to user-controlled parameters to make the most of peak-capacity increases and further enhance the chromatographic resolution gains from the additional dimension of separation.
Summary: Using the Simply GCXGC tool to set up experiments yields excellent two-dimensional separations. While initial parameters may not result in the highest peak capacity, Simply GCxGC provides a helpful guide for the next steps that lead to greater peak capacity results and better chromatographic resolution for any given sample, regardless of the initial column phase used.
Summary: Using the Simply GCXGC tool to set up experiments yields excellent two-dimensional separations. While initial parameters may not result in the highest peak capacity, Simply GCxGC provides a helpful guide for the next steps that lead to greater peak capacity results and better chromatographic resolution for any given sample, regardless of the initial column phase used.
Ask the author a question about this poster.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Related Posters
Influenza-virus-antibody-products-and-services
Candy Swift
Anti-Ebola-Virus-Antibody-Products-and-Services
Candy Swift
Anti-coronavirus-antibody-products-and-services
Candy Swift
BSLMM Prediction
AI & Medicine
PrediXcan Based Analysis
AI & Medicine