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June 2013 GC Hyphenated GC High Resolution TOFMS for Mouse Liver Metabolomic Analyses LECO Corporation LECO’s Pegasus GC-HRT (High Resolution TOFMS) is applied to the identification and differential analysis of metabolites extracted for diseased livers from mice exposed to alcohol with and without fatty diets. Read More Metabolite Profiling: Hard and Soft Ionization High Resolution TOFMS LECO Corporation Both electron impact ionization (EI) and chemical ionization—high resolution time-of-flight mass spectrometry (HR-CI) are used to identify analytes in complex samples for confident identification of metabolites through complementary information. Read More Analysis of Urine Samples Used for Liver Drug-Induced Injury Study LECO Corporation The objective of the study presented here is to develop a suite of toxicity markers from GC-TOFMS analysis, for use in pre-clinical screening of drug candidates. Read More Small Molecule Metabolite Identification in Diabetic Samples Using GCxGC-TOFMS John Heim, LECO Corporation This diabetic versus non-diabetic research demonstrates that comprehensive two-dimensional gas chromatography combined with time-of-flight mass spectrometry (GCxGC-TOFMS) is ideal for identifying the small molecule metabolite profile in complex biological samples. Read More   Screening for Metabolite Differences in Rat Plasma with GCxGC-TOFMS LECO Corporation This research shows a fast, efficient, and simple comparative analysis method for screening large sample pools to distinguish metabolite variations as potential biomarkers for healthy and disease state populations. Read More Forensic Toxicology Analysis by Automated Solid Phase Microextraction John Heim, LECO Corporation This study indicates that trace-level screening of drugs in urine can be performed without sample derivatization, providing accurate identifications by automated solid phase microextraction (SPME) coupled with GCxGC-TOFMS. Read More Statistical Variation in Metabolite Profiles of Fish Species John Heim, LECO Corporation This research presents a step-by-step data mining approach using metabolomics data from two different fish species to demonstrate the value of the LECO ChromaTOF Statistical Compare feature. Read More Detecting Sulfur-Containing Metabolites of Asparagus in Urine by SBSE-GCxGC-TOFMS Pete Stevens, LECO Corporation In this study, the goal was to eliminate the use of potentially hazardous solvents and reduce overall extraction time through the use of GERSTEL's Twister Stir Bar Sorption Extraction (SBSE). Read More GCxGC-TOFMS of Metabolic Samples from Hybrid Aspen Plants LECO Corporation The GCxGC technique with the additional analytical separation gained by spectral deconvolution resulted in more than 400 peaks being found and identified in samples from hybrid aspen plants. Read More   Go to Application Note Library Subscribe to the Application Note Alert LCGC Print Edition LCGC Digital Edition