Food fraud is currently a growing global concern with far‐reaching consequences. Food
authenticity attributes, including biological identity, geographical origin, agricultural …

In clinical study, metabolomics aims to characterize the metabolic disturbance at the disease
state using large cohorts and further provides diagnostic evidence at the small molecular …

Introduction Work-related exposures to harmful agents or factors are associated with an
increase in incidence of occupational diseases. These exposures often represent a complex …

Liquid chromatography–mass spectrometry (LC-MS)-based untargeted metabolomics
studies require high-quality spectral libraries for reliable metabolite identification. We have …

Metabolites are the final products of the metabolism and are, therefore, directly related to
phenotype. They constitute the metabolome of an organism. The wide diversity of the …

Feature-based molecular networking (FBMN) is a powerful analytical tool for mass
spectrometry (MS)-based untargeted metabolomics data analysis. FBMN plays an important …

With continuously increased scan rate and sensitivity, high resolution mass spectrometry
(HRMS) allows for both reliable targeted analysis (eg, parallel reaction monitoring, PRM) …

Pharmaco‐metabolomics uses metabolic phenotypes for the prediction of inter‐individual
variations in drug response and helps in understanding the mechanisms of drug action. The …

Large-scale metabolomic studies have become common, and the reliability of the peak data
produced by the various instruments is an important issue. However, less attention has been …

Mass spectrometry-based metabolomics with stable isotope labeling (SIL) is an established
tool for sensitive and precise analyses of tissue metabolism, its flux, and pathway activities in …