Chan Chak-Lun, Wai Hogan Kok-Fung, Wu Peng, Lai Siu-Wai, Chan Olivia Sinn-Kay, Tun Hein M
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Antibiotics (Basel). 2022 Jun 24;11(7):845. doi: 10.3390/antibiotics11070845.
Detecting and monitoring the usage of antibiotics is a critical aspect of efforts to combat antimicrobial resistance. Antibiotic residue testing with existing LC-MS/MS methods is limited in detection range. Current methods also lack the capacity to detect multiple antibiotic residues in different samples simultaneously. In this study, we demonstrate a methodology that permits simultaneous extraction and detection of antibiotic residues in animal and environmental samples. A total of 30 different antibiotics from 13 classes could be qualitatively detected with our methodology. Further study to reduce analytes' matrix effect would allow for quantification of antibiotic residues.
检测和监测抗生素的使用情况是抗击抗菌药物耐药性工作的一个关键方面。采用现有液相色谱-串联质谱法进行抗生素残留检测，其检测范围有限。目前的方法也缺乏同时检测不同样品中多种抗生素残留的能力。在本研究中，我们展示了一种能够同时提取和检测动物及环境样品中抗生素残留的方法。利用我们的方法可以定性检测来自13类的总共30种不同抗生素。进一步研究以降低分析物的基质效应将有助于实现抗生素残留的定量分析。
