Wang J, Peake DA, Sanders M, Athanas M, Huang Y
ASMS 2013 Poster Note
Metabolomics is a rapidly growing field of post-genomic biology, aiming to comprehensively characterize the small molecules in biological systems. Nonbiological
systematic biases from instrument calibration or the order of sample injection account
for the most significant errors in LC/TOF-MS data [1]. Here we present a workflow
using a UHPLC/benchtop quardrupole Orbitrap platform and automated data analysis
software for untargeted metabolomic profiling of plasma samples for biomarker
discovery from the Zucker diabetes fatty (ZDF) rat model. The optimal conditions for
sample preparation, liquid chromatography (LC), column, mass spectrometry (MS),
and data processing parameters are explored.
Thermo Fisher Scientific
United States
