2 nya Webinar / 2 new Webinar

april 14, 2020
Petro

These webinars were recorded and will shortly be available here.

In this webinar a dearomatization process will be described, whereby fuel streams in which aromatics and alkyl compounds are present, are subjected to ring-opening processes in order to improve the fuel stream features looking at gaining better ignition properties as much as minimizing the particulate emissions.

There is a need to monitor the entire process to ensure the desired reaction has occurred – this involves complex samples containing many chemical classes, such as mono-aromatics, trace polyaromatics (reactives), as well as the product naphthenes and paraffins. Here, GC×GC coupled with parallel detection by TOF MS/FID will be shown to provide confident identification and robust quantitation at each stage of the process.

By attending this webinar you will...

  • Learn the value of GC×GC with parallel detection by TOF MS and FID.
  • See how GC×GC offers the unique possibilities for detailed petrochemical fingerprinting.

Learn how cutting-edge analytical techniques can reveal hidden information from complex samples.

 


 

FAT

The analysis of fatty acid methyl esters (FAMEs) in food is important in order to measure nutritional content. Most important is the qualitative and quantitative measurement of cis/trans fatty acids. However, conventional 1D GC struggles to resolve all components.

GC×GC is capable of full separation and identification of FAMEs based on both carbon number and degree of unsaturation. This webinar will describe the benefits of parallel detection with time-of-flight mass spectrometry (TOF MS) and flame ionisation detection (FID) for confident identification of targets and non-targets, as well as robust quantitation.

By attending this webinar you will...

  • Learn the value of GC×GC-TOF MS for food analysis
  • See how GC×GC offers the unique possibility for detailed FAMEs profiling and effective fingerprinting of complex samples

Learn how cutting-edge analytical techniques can reveal hidden information from complex food samples