"Metabolomics" resources

Metabolomics presents challenges from sample introduction to the analytical methods used, and the data reduction required to interpret the results. No single analytical technique can be used for complete characterization of the metabolome, and no metabolome has ever been completely characterized. Despite these challenges, LECO’s just-in-time derivatizer coupled with the Gas Chromatography Mass Spectrometers (GC-MS) provides an established method to introduce samples into the GC-MS and analyze the primary metabolome, whereas other techniques simply investigate the secondary and tertiary metabolites. One of the principal challenges in metabolomics is the detection and identification of unknowns; you need to know what else is in your sample to successfully characterize it, and our GC-MS solutions give you a clear advantage. Our solutions have a robust automated derivatization and sample introductory method, separation, accuracy, resolving power, deconvolution, and speed to characterize the most complex metabolite profiles.
65 results
JB-ASMS11-LPSS-036 Cannabimimetic compounds (compounds that mimic cannabinoids) were analyzed by High-Resolution GC-TOFMS.
401-956-004 Metabolomics is particularly challenging for the separation science community, demanding application of high-end iterations of various techniques. LECO, in collaboration with The Analytical Scientist, explore non-targeted analyses in this complex ...
DA-IMSC16-LPSS-206
401-956-006 Oliver Fiehn, PhD. (UC Davis) discusses utilizing open access metabolomics databases for data analysis and comparison. Several database resources are presented.
JB-ASMS14-LPSS-150 This application compendium explores the integration of hydrogen as a carrier gas in high-resolution gas chromatography-time-of-flight mass spectrometry (GC-TOFMS) systems, specifically the Pegasus® GC-HRT. Addressing the challenges posed by the d...
PS-PCON09-LPSS-015 Breath analysis is a non-invasive technique for multiple disease biomarkers. High humidity in breath samples provide unique challenges for analysis.