ABSTRACT
BACKGROUND: Antibiotic residues in milk are a well-known hazard in the dairy food chain. Detection methods for these residues, such as nonspecific microbiological inhibitor tests or group-specific receptor tests, are relatively inexpensive, easy to use, and widely applied to ensure food safety. In contrast, specific detection by liquid chromatography-tandem mass spectrometry (LC-MS/MS)-although a critical, complimentary method to confirm the results of nonspecific testing-is relatively costly, time-consuming, and laborious. Furthermore, sample processing before LC-MS/MS analysis requires unique preparation procedures for different groups of antibiotic compounds. OBJECTIVE: To simplify and speed up specific antibiotic residue detection, a low-cost, passive, and single-step method to fractionate analytes in raw milk was developed. METHODS: Untreated raw milk was fractionated into its water and fat/protein phases using a Fractionation of Milk for Trace Analysis of Contaminants and Residues for Antibiotics (FraMiTrACR® AB) fractionation unit. The water fraction was then analyzed by LC-MS/MS. The analyte fractionation method was evaluated against a Quick Easy Cheap Effective Rugged and Safe (QuEChERS)-based method for sample preparation. RESULTS: Our method allows qualitative and quantitative detection of substances from the penicillin, cephalosporin, macrolide, lincosamide, sulfonamide, tetracycline, and fluoroquinolone groups of antibiotics. Detection limits are below the legally prescribed maximum residue levels, allowing reliable, specific, and rapid validation of a positive result in nonspecific microbiological inhibitor tests. CONCLUSION: Analyte fractionation by FraMiTrACR AB is a faster alternative to QuEChERS-based sample preparation for the detection of antibiotic substances in milk. HIGHLIGHT: This method describes a low-cost, environmentally friendly, passive, and single-step milk analyte fractionation. As an alternative to QuEChERS-based preparation, this fractionation method simplifies and speeds up the process for specific antibiotic residue detection.
