Antibiotics (Jun 2022)

A Universal LC-MS/MS Method for Simultaneous Detection of Antibiotic Residues in Animal and Environmental Samples

  • Chak-Lun Chan,
  • Hogan Kok-Fung Wai,
  • Peng Wu,
  • Siu-Wai Lai,
  • Olivia Sinn-Kay Chan,
  • Hein M. Tun

DOI
https://doi.org/10.3390/antibiotics11070845
Journal volume & issue
Vol. 11, no. 7
p. 845

Abstract

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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.

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