TOF-MS
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- A Comprehensive GC-TOFMS Metabolomics Workflow Early Type 2 Diabetes prediction can be facilitated by the implementation of a metabolomics method for the identification of T2DM biomarkers. A complete automated derivatization workflow is explored.
- Analysis of Fats in Food Products with GC-TOFMS Reporting the fat content of food on packaging material is required for many products. For this reason, the ability to detect and distinguish different types of fats is important. The AOAC has an official method, Method 996.06, for the detection of fats (total, saturated, and unsaturated) that uses GC paired with FID to separate fatty acids, derivatized with methylation.
- Analysis of Heavy Fuel Oil using Multi-Mode Ionization Heavy Fuel Oil Multi-Mode Source MMS GCxGC-HRT4D
- Analysis of Polychlorinated Biphenyls (PCBs) in Fish Oil Supplements by Gas Chromatography with High-Performance Time-of-Flight Mass Spectrometry The American Heart Association recommends eating two servings of fish per week, specifically fish with high fat content such as tuna and salmon. In this study, the advantages of using the Pegasus GC-HRT to analyze complex matrices such as fish oil are highlighted.
- Application of GC High Resolution Time-of-Flight Mass Spectrometry to Mouse Liver Metabolomic Analyses Liver disease affects more than 800 million people worldwide causing at least 1.5 million deaths annually. Mice provided a reliable model for detection of polychlorinated biphenyls associated with non-alcoholic fatty liver disease.
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