“…Metabolite identification in highly complex matrices is of paramount importance for probing new biologically active compounds, due to their vital role in the discovery and development of new functional foods and drugs. − Moreover, the identification of prototype compounds and their metabolites is a challenging work, because of their intricate chemical constituents, massive endogenous interference, complicated metabolic pathways, and the low abundance of metabolites. − Nowadays, exceptionally powerful high-resolution and multistage MS instruments that facilitate a range of acquisition modes suitable for different experimental goals are available, − which mainly include data-independent acquisition (DIA; e.g., MS E ; all ion fragmentation, AIF; sequential window acquisition of all theoretical fragment ions, SWATH) and data-dependent acquisition (DDA). DIA can theoretically obtain the fragmentation data for all of the detected precursor ions, while spectral deconvolution to match between the precursors and the product ions is inevitable prior to the data interpretation. , In contrast, the DDA strategy is more easily accessible, which acquires the MS/MS data for a subset of the total ions relying on one or more permanent selection criteria, such as the intensity, isotopic pattern, neutral loss, diagnostic fragment ions, and included or excluded m / z . As the conventional DDA mainly provides nonchimeric MS/MS spectra, the coverage of unique biological metabolites can be less than 40% in one LC/MS/MS run .…”