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A leading provider of sample extraction solutions and automated sample preparation for Gas Chromatography/Mass Spectrometry (GC/MS) and Liquid Chromatography/Mass Spectrometry (LC/MS), GERSTEL is focused on developing and producing systems and solutions for chemical analysis. We maintain well equipped applications laboratories featuring the latest Agilent Technologies GC/MS and LC/MS instrumentation as well as the complete line of GERSTEL products.
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Pyrolysis
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Pyrolysis GC-MS analysis of polymeric materials – Background and practical aspects with respect to method development

RECORD | Already taken place We, 22.4.2020
The first part of the webinar focuses on background and practical aspects of pyrolysis-GC/MS with respect to method development.
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Gerstel: Pyrolysis GC-MS analysis of polymeric materials – Background and practical aspects with respect to method development
Gerstel: Pyrolysis GC-MS analysis of polymeric materials – Background and practical aspects with respect to method development

The first part of the webinar focuses on background and practical aspects of pyrolysis-GC/MS with respect to method development.

The second part is about identification of polymer components from complex pyrolysate mixtures using a database approach.

Pyrolysis GC often deals with the characterization of unknown samples. When the sample is unknown, however, it can be challenging to select appropriate instrument set-up and method parameter starting points. In this webinar, useful information is presented on using pyrolysis GC-MS to identify polymeric materials and how approach method development in the most efficient manner.

Pyrolysis GC-MS of polymeric materials – Identification of polymer components from a complex pyrolysate mixture using a database approach

Pyrolysis of polymeric materials as a sample introduction technique for gas chromatography most often results in complex chromatograms showing the polymer fragmentation. If the sample itself is a mixture of materials, however, the resulting chromatogram is even more complex. Examples range from simple co-polymers with different additives and impurities to highly complex environmental samples with microplastics content. In more complex cases simple mass spectral identification via library comparison will be of limited use. A new peak based data base approach can help provide information to help identity polymer materials in complex samples.

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