Table of Contents
Metabolites, Volume 10, Issue 4 (April 2020) – 49 articles
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Cover Story (view full-size image) We compared targeted and untargeted DDA methods for metabolite annotation. The results demonstrate [...] Read more. We compared targeted and untargeted DDA methods for metabolite annotation. The results demonstrate that data acquired during the initial system conditioning enables fast discrimination of relevant metabolic features and a more efficient selection of precursors. The iterative use of targeted DDA using inclusion lists of (pre)annotated metabolites further refines the lists of precursor ions, reducing the number of LC runs required to achieve a given MS2 coverage of known metabolites. This improvement in efficiency facilitates their implementation within standard QA/QC pipelines. View this paper.