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SMF scheme was built to identify and classify the metabolites.Metabolism of ziyuglycoside II was systematically studied.SMF could find its extensive application in the metabolism study.Ziyuglycoside II, one of the major effective ingredients of Sanguisorba officinalis L., had various pharmacological activities including anticancer, anti-inflammation and anti-oxidation, etc. Better understanding of the pharmacology and toxicology of ziyuglycoside II requires the detailed elucidation of its biologic fates in vivo. Herein, the metabolic fate of ziyuglycoside II in rats was investigated based on liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS). To accelerate and simplify the process of metabolite identification from complicated biological matrix, the sectional multiple filtering (SMF) scheme was designed according to the relationship among the molecular weight (MW), mass defect (MD) and retention time (tR) of the metabolites. SMF-I (MW: 700–850 Da, MD: 0.40–0.45 Da, tR: 4.0–10.0 min), SMF-II (MW: 550–700 Da, MD: 0.30–0.40 Da, tR: 6.0–14.0 min) and SMF-III (MW: 400–550 Da, MD at 0.25–0.35 Da, tR at 9.5–16.0 min) were built and utilized to screen phase II conjugations and phase I redox metabolites and deglycosylated derivatives, respectively. As a result, dozens of metabolites, including glucuronic conjugates, hydroxylation, oxidization, dehydration and deglycosylation products, were rapidly discovered, classified and structural identified in rat urine and feces based on SMF scheme and accurate MS1/MS2 information. Obviously, the SMF technique showed superior efficiency and selectivity in ziyuglycoside II metabolite identification. More importantly, SMF would find its extensive application in, but not limited to, the metabolic study for single drug or homologous compounds in traditional Chinese medicine.