Webinar Description
With food regulations continuing to expand, labs are required to monitor more compounds in more commodities, and with consumer drivers to survey for other non-targeted potential hazards that could arise, there is an increasing demand for analytical techniques and methods that enable identification and quantitation of targeted, regulated compounds with capabilities for non-targeted surveillance of other unknowns.
The advent of MS/MS libraries and high resolution / accurate mass instruments are now capable of performing both targeted and non-targeted screening in a single LC-MS/MS run. In this presentation, we will show the development of a workflow using a very generic extraction procedure and full scan MS/MS and high resolution MS and MS/MS data acquisition to confidently identify and accurately quantify targeted and non-targeted chemicals based on retention time, accurate mass, isotope pattern, sample-control comparisons, MS/MS library searching, empirical formula finding, ChemSpider searching, and automatic MS/MS fragment ion interpretation. The automation of this challenging data processing workflow allows easy result review and reporting for practical implementation of these mass spec workflows for routine food contaminant screening in the modern food laboratory.
Presenter Bio
Andre Schreiber is an experienced food & environmental application scientist, currently working as the AB SCIEX global applications manager for these applications. Prior to his role as applications manager, Andre served as an application scientist at MDS Sciex and as an MS product specialist for Applied Biosystems in Darmstadt, Germany. Andre earned his PhD in the department of Analytical Chemistry at Leipzig University under Prof. W. Engewald, investigating the behavior of ionization and fragmentation of environmental relevant substances using HPLC/MS.
Free Webinar Offers
- Learn how to decrease your analysis time with modern food safety analysis workflows for fast contaminant screening
- Learn how to reduce false negative or false positive results by utilizing multiple parameters in your data (retention time, MS/MS fragments, etc.)
- Gain insight into how you can automate your data processing to quickly flag the contaminants present in your samples