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Ion mobility spectrometers can detect trace compounds quickly, though they can face various issues with detecting certain peaks. University of Hannover scientists created a new system for resolving hyper-fast gas chromatography (GC) peaks.

A joint study between the University of Oklahoma Health Sciences Center (Oklahoma City, Oklahoma) and the UC Davis West Coast Metabolomics Center (Davis, California) identified differentially regulated lipids in type 2 diabetes (T2D) and obesity through the application of reversed-phase liquid chromatography-accurate mass tandem mass spectrometry (RP-LC-accurate MS/MS).

Aroma analysis is of paramount importance in the plant-based meat replacement industry. The ability to replicate flavors and mimic real meat is vital in appealing to consumers. To capture the full aroma profiles of cooked meat, analysts need dynamic purge techniques, such as dynamic headspace (DHS) sampling. The considerable water content in meat and other food brings risk of moisture build-up in the sorbent tube, potentially disrupting the TD-GC-MS analysis. An automated DHS option with dry purge feature, can effectively address this issue, as illustrated here using cooked ground beef and plant-based meat as examples. A workflow for optimizing DHS settings relevant to this study is presented. The aroma profiles of cooked ground beef and plant-based meat are analyzed and compared.

This work presents an Automated Sample Preparation procedure for MOSH/MOAH analysis of Seasoning Oils. We compare results from a manual epoxidation procedure compliant with DIN 16995 with results based on fully automated sample preparation (epoxidation and saponification) compliant with ISO 20122. In both cases, online clean-up via activated aluminum oxide (AlOx) are used to remove interfering n-alkanes from the MOSH fraction during the HPLC run. Automated data evaluation using a dedicated software (GERSTEL ChroMOH) is presented.