Thorough characterization of difficult-to-classify metabolites enabled by electron activated dissociation and Zeno trap

Thursday 12 August 2021
08:00 [PST] 11:00 [EST] 16:00 [BST]

Alternative time zones

This webinar will introduce why thorough characterization of drug candidate metabolism is a requisite part of early- to late-stage drug discovery. Early ADME studies are used to determine if a drug candidate is prone to metabolic breakdown or oxidation/conjugation. In many cases, the products of these early assays are not extensively characterized and generally do not represent all of the potential metabolic activity a drug could be exposed to in vivo. This presentation showcases how both electron activated dissociation (EAD) and collision induced fragmentation (CID) bring new levels of interpretive power to the routine, but often challenging, process of metabolite identification. The high-energy, electron-based mechanism of EAD produces a richer fragmentation pattern than CID and can generate diagnostic spectral peaks for labile fragments that would otherwise be lost.

 

REGISTER NOWWhat will you learn?Who may this interest?Speaker



What will you learn?

• EAD is a reagent free, tunable technique that is applicable to a broad range of molecule types and tunable to small singly charged and multiply charged molecules
• EAD provides orthogonal, complimentary fragmentation to CID, allowing more thorough, confident metabolic structure elucidation than with CID alone
• The Zeno trap provides enhanced sensitivity in MS/MS modes, allowing characterization of low level metabolites for both CID and EAD fragmentation

Who may this interest?

  • CROs, pharma and biotech companies focused on enhancing selectivity for LC–MS quantitative bioanalysis
  • Mass spectrometrists and bioanalytical chemists
  • Academics and students interested in microflow LC–MS/MS workflows

Speaker

Jason Causon
Technical Product Manager – Accurate Mass Portfolio
SCIEX (Toronto, Canada) 

Jason is currently a Technical Product Manager for Accurate Mass platforms at SCIEX. He is active in collaborating with the community to advance HRMS and drive understanding of where HRMS can solve challenges being faced every day, today and in the future. Prior to this, Jason spent 8 years working as an LC–QQQ and LC–HRMS application specialist for SCIEX (Warrington, UK). Across these roles he has been active in evaluating the performance and applicability of HRMS for multiple workflows with a keen focus on quantification.

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