Abstract:The existing methods for detecting nitrofuran metabolites mostly involve complex pretreatment processes and lengthy experimental procedures，which fail to meet the requirements for efficient batch detection.In this study，the single-variable method was used to gradually optimize the pretreatment process. The experimental process was simplified. An efficient detection method for nitrofuran metabolites in animal-derived foods was established by liquid chromatography-tandem mass spectrometry. The samples were acidified with hydrochloric acid and derivatized at high temperatures. The sample's pH was adjusted with sodium hydroxide，and then the sample was centrifuged at low temperatures and high speeds. The liquid supernatant was extracted with ethyl acetate，re-dissolved after nitrogen blowing，and filtered through a filter membrane. The extracted residues were analyzed with liquid chromatography-tandem mass spectrometry. The spiked recovery experiments were conducted on pork and fish at three levels of 0.5，1.0，and 3.0 μg/kg. The average recoveries were between 81.1% and 107.4%. The precision was less than 9.7%. The spiked recovery experiments were also performed on poultry and livestock meat，aquatic products，and eggs at 1.0 μg/kg. The recoveries were between 83.5% and 114.0%. The precision was less than 9.5%. The optimized detection method was simple to operate，highly stable，and versatile. The method was suitable for the efficient detection of nitrofuran metabolites in animal-derived foods with multiple matrices and could be widely applied to batch testing of agricultural products.