SCIEX How

SCIEX How is your launchpad for exploration - charting SCIEX technologies with step‑by‑step analytical methods, precise acquisition parameters (MRM/HRMS, source/ion optics), and validated materials lists. Navigate from hypothesis to high‑confidence, reproducible results - faster.

Metabolite identification FAQ

What is LC-MS metabolite identification and why is it important in drug discovery?

Metabolite identification (Met ID) using LC-MS is a critical step in drug discovery and development, enabling scientists to detect and characterize drug metabolites to understand their metabolite and biotransformation pathways.

Accurate metabolite identification is essential for assessing drug safety, efficacy, and pharmacokinetics. Without confident identification, uncertainty can lead to additional studies, delays, and increased costs.

What is the difference between CID and EAD in metabolite identification workflows?

Collision-induced dissociation (CID) is a widely used MS/MS fragmentation technique in LC-MS metabolite identification. However, for certain metabolites, particularly those with labile modifications, CID alone may not provide sufficient structural clarity.

Electron activated dissociation (EAD), available on SCIEX ZenoTOF systems, provides complementary fragmentation that preserves fragile molecular features and generates additional information via MS/MS experiments.

By combining CID and EAD in a single workflow, scientists can achieve more confident structural elucidation, especially for complex or phase II metabolites, improving the accuracy of metabolite identification.

How do SCIEX LC-MS systems improve confidence in metabolite identification?

SCIEX LC-MS solutions help to reduce ambiguity and deliver high-confidence results by combining:

• High-resolution accurate mass detection
• Advanced fragmentation techniques (CID + EAD) for improved structural characterization
• Sensitivity for detecting low-abundance metabolites
• Integrated software workflows for streamlined data interpretation

Together, these capabilities help scientists move from raw data to actionable insights faster, enabling confident decisions and reducing the need for additional follow-up studies.

What should instrument purchasers consider beyond performance specifications?

When selecting a metabolite identification solution, performance is only part of the equation. We recommend scientists also consider:

• Software usability and integration for efficient workflows
• Compliance-readiness for downstream
• Service and support infrastructure
• System robustness and uptime
• Scalability for future applications