The extracts UHPLC-HRMS 2 profiling data in positive ionization (PI) mode were processed using the Ion Identity-FBMN workflow and SIRIUS/CSI:FingerID and CANOPUS were used to annotate the content of the extracts and confirm the presence of rotenoids. The IIN-FBMN allows both 1) the grouping and annotating of features corresponding to the same molecular species (adducts, in-source fragments, etc., for each chromatographic peak) using the MS 1 feature peak-shape correlation and the difference in m/z and 2) visualization of spectral similarities among features . CANOPUS, on the other hand, is a computational tool that allows the annotation of unknown MS 2 spectra at the pathway, superclass, and class level following the NPClassifier taxonomy . Because a chemical class can be assigned even if the structure is not reported in any database, it is a particularly relevant tool for annotating analogs of a given chemical class, such as, in this case, rotenoids.