Metabolite identification studies are critical to understanding product safety, supporting regulatory submissions, and enabling confident decision-making across drug development. However, managing these workflows often involves balancing competing priorities, including tight timelines, complex data interpretation, and the need for reliable, high-quality results.
Whether you are working with established assays or tackling more complex or trace-level studies, this guide will help you identify the right system for your needs and understand how to support consistent, reliable outcomes while improving operational efficiency.
Learning outcomes:
- How to select the most appropriate LC-MS system for different metabolite identification workflows, from established to highly challenging studies
- How complementary fragmentation approaches, including EAD and CID, can provide deeper structural insight and improve confidence in metabolite characterization
- How integrated hardware, software, and service solutions can support streamlined workflows, regulatory readiness, and consistent, reliable result
Plus access the related article
Improving Confidence in LC-MS/MS Metabolite Identification
by SCIEX and Separation Science
Metabolite identification is crucial in drug development, LC-MS with CID fragmentation is the gold standard for this analysis, but are there options to enhance data confidence?
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