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.
A Universal LC-MS/MS Method for Simultaneous Detection of Antibiotic Residues in Animal and Environmental Samples.
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作者:Chan Chak-Lun, Wai Hogan Kok-Fung, Wu Peng, Lai Siu-Wai, Chan Olivia Sinn-Kay, Tun Hein M
| 期刊: | Antibiotics-Basel | 影响因子: | 4.600 |
| 时间: | 2022 | 起止号: | 2022 Jun 24; 11(7):845 |
| doi: | 10.3390/antibiotics11070845 | ||
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