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GERSTEL
GERSTEL
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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Automating Food Safety Workflows for the Analysis of Edible Oils and Fats

We, 13.5.2026 20:00 CEST
Learn how automated workflows improve data quality in edible oil testing, including FAMEs, MOSH/MOAH, and 3-MCPD analysis with real-world insights.
Go to the webinar
GERSTEL: Automating Food Safety Workflows for the Analysis of Edible Oils and Fats
GERSTEL: Automating Food Safety Workflows for the Analysis of Edible Oils and Fats
Improving Data Quality in Oils and Fats Testing using Automated Workflows

Three separate automated workflows used during the analyses of edible oils and fats (FAMEs, MOSH/MOAH, and 3-MCPD) will be discussed, along with the GERSTEL automated sample preparation options used.

  • Presenter: Fred Foster, Applications Scientist, GERSTEL, Inc.
A Real-World Approach to MOSH/MOAH Testing in Edible Oils

MOSH/MOAH determination is essential for ensuring the safety, quality, and compliance of edible oils, but traditional workflows can be complex and time-consuming. In this webinar, Alex Vargo, Laboratory Manager of Pompeian, a leading U.S. producer of olive oil, shares a practical approach to MOSH/MOAH determination in olive oil analysis, including contamination sources, regulatory considerations, and workflow optimization.

  • Presenter: Alex Vargo, Labortory Manager, Pompeian
Key Takeaways:
  • Automate food safety workflows for FAMES, MOSH/MOAH, and 3-MCPD esters
  • Understand MOSH/MOAH determination in olive oil analysis
  • Learn how contamination occurs and current regulatory considerations
  • Explore strategies to streamline and improve analytical workflows
  • Gain real-world insights into method development and optimization
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