Enhance Your Annotation Confidence in LC-TIMS-HRMS-Based Bile Acid Profiling
Bile acids are well known for their roles in cholesterol homeostasis, lipid absorption and as metabolic signaling molecules. They are implicated in a variety of disease states and therefore serve as an exciting focus on research in novel biomarker discovery.
While conventional UHPLC-MS-based methods are capable of detecting bile acids in human samples, they lack the selectivity required to profile unconjugated isoforms. Hence, accurate solutions using trapped ion mobility to separate isoforms based on their size and shape are necessary to increase annotation confidence and discovery power in bile acid research.
This app note outlines how LC-TIMS-HRMS methods can increase measurement specificity and annotation confidence in quantitative profiling workflows.
Download this app note to learn more about:
- Accurately quantifying bile acid isoforms in complex biological samples
- Untargeted profiling for increased discovery power
- Ensuring data reproducibility within and across labs