Ion Mobility- A New Beginning for Pesticide Residue Screening?

Library Number:
WEBC134762625
Author(s):
Séverine Goscinny, Ing
Source:
Hosted by LCGC
Content Type:
On Demand Webinar
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On-demand LCGC webinar: Ion Mobility- A New Beginning for Pesticide Residue Screening?

Guest Speaker:  Séverine Goscinny, Ing 
Scientific Researcher, Scientific Institute of Public Health Belgium

EVENT OVERVIEW

In this on-demand webcast, guest presenter Severine Goscinny describes the use of UPLC coupled to ion mobility–enabled HR-MS analysis for the non-targeted screening of pesticide residues in foods. The findings of the study demonstrate that making the full use of ion mobility features, such as the ability to determine molecular Collision Cross Section (CCS) and the enhanced screening power, in addition to software processing, provides a rapid and efficient strategy to screen for trace-level residues in very complex samples. Ion mobility separation can be exploited to decongest complex mass spectral data and facilitate data interrogation.

Using CCS data provides a higher degree of specificity by:

  • Efficiently reducing the number of false positive identifications.
  • Avoiding false negatives by using wider screening windows for retention time and mass accuracy and filtering with constricted collision cross section criteria.

EVENT OVERVIEW

In this on-demand webcast, guest presenter Severine Goscinny describes the use of ACQUITY UPLC coupled to ion mobility–enabled HR-MS analysis for the non-targeted screening of pesticide residues in foods. The findings of the study demonstrate that making the full use of ion mobility features, such as the ability to determine molecular Collision Cross Section (CCS) and the enhanced screening power, in addition to software processing, provides a rapid and efficient strategy to screen for trace-level residues in very complex samples. Ion mobility separation can be exploited to decongest complex mass spectral data and facilitate data interrogation.

Using CCS data provides a higher degree of specificity by:

  • Efficiently reducing the number of false positive identifications.
  • Avoiding false negatives by using wider screening windows for retention time and mass accuracy and filtering with constricted collision cross section criteria.