Collision energy alteration during mass spectrometric acquisition is essential to ensure unbiased metabolomic analysis

摘要: Metabolomics entails identification and quantification of all metabolites within a biological system with given physiological status; as such, it should be unbiased. A variety techniques are used to measure the metabolite content living systems, results differ mode data acquisition output generation. LC–MS is one many that has been study metabolomes different organisms but, although extensively, does not provide complete metabolic picture. Recent developments in technology, for example introduction UPLC–ESI–MS, have, however, seen become preferred technique metabolomics. Here, we show when MS settings varied profiles result from same sample. During use Synapt UPLC–high definition instrument, collision energy was continually altered (3, 10, 20, 30 eV) during acquisition. PCA OPLS-DA analysis generated UPLC–MS extracted elicited tobacco cells revealed clustering distribution patterns. As expected, ion abundance decreases increasing energy, more importantly, unique multivariate patterns samples. Our findings suggest investigated because these can contribute coverage wider range metabolome by UPLC–ESI–MS prevent biased results.