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Separation Science
Separation Science
Separation Science je přední online zdroj metod, aplikací, řešení problémů a školení v chromatografii a hmotnostní spektrometrii.
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Application of GC×GC-TOFMS/FID to FAME Profiling of Dairy Fat and Advantages over Traditional GC Analysis

ZÁZNAM | Proběhlo Út, 21.4.2020
Separation Science Vám ve spolupráci se SepSolve Analytical přináší webinář zabývající se výhodami paralelní detekce pomocí hmotnostní spektrometrie TOF MS a FID pro cílenou i necílenou analýzu a kvantifikaci.
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Pixabay/ValeriaLu: Application of GC×GC-TOFMS/FID to FAME Profiling of Dairy Fat and Advantages over Traditional GC Analysis
Pixabay/ValeriaLu: Application of GC×GC-TOFMS/FID to FAME Profiling of Dairy Fat and Advantages over Traditional GC Analysis

Separation Science, in collaboration with SepSolve Analytical offers an upcoming webinar covering 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.

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

Who should attend?

  • GC users who want to enhance their ability to analyse complex food samples
  • GC analysts who want to find out more about GC×GC
  • Food analysts who want to achieve a higher level of information in every single run.

Presenter: David Mannion (Teagasc)

David Mannion is a Food Chemistry Technologist in the Food Quality and Sensory Science Department at Teagasc (Cork, Ireland).

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