Waters Corporation, Milford, Massachusetts 01757, United States.
J Agric Food Chem. 2023 May 17;71(19):7593-7603. doi: 10.1021/acs.jafc.3c01175. Epub 2023 May 4.
This work aimed to develop an analytical method for the screening of multiple aminoglycoside residues in foods of animal origin using an ethylene-bridged hybrid (BEH) particle-based sulfoalkylbetaine stationary phase. The effects of chromatographic conditions on the separation of 17 aminoglycosides have been systematically investigated. Sample preparation and mass spectrometry detection have also been investigated and optimized. In contrast to high buffer concentrations in the mobile phase required for silica-based sulfoalkylbetaine stationary phases, a moderate buffer concentration (20 mM) provided the optimal separation of 17 aminoglycosides with the BEH sulfoalkylbetaine stationary phase. The developed method has been evaluated in milk, beef, pork, liver, and honey samples with good performance for retention, selectivity, sensitivity, linearity, precision, and accuracy. The majority of the limit of quantitation estimated with the matrix was less than 25 μg/kg. The overall accuracy across five matrices was in the range from 96 to 111%, with standard deviations of less than 19%.
本研究旨在开发一种基于乙烯桥联混合（BEH）颗粒的磺丁基甜菜碱固定相，用于筛选动物源食品中多种氨基糖苷类残留物的分析方法。系统研究了色谱条件对 17 种氨基糖苷类化合物分离的影响，并对样品前处理和质谱检测进行了考察和优化。与基于硅胶的磺丁基甜菜碱固定相所需的高缓冲液浓度相比，在 BEH 磺丁基甜菜碱固定相中采用中等缓冲液浓度（20 mM）可实现 17 种氨基糖苷类化合物的最佳分离。该方法在牛奶、牛肉、猪肉、肝脏和蜂蜜样品中的应用评价结果良好，具有良好的保留、选择性、灵敏度、线性、精密度和准确度。采用基质估计的定量限多数小于 25 μg/kg。在五个基质中，整体准确度在 96%至 111%范围内，标准偏差小于 19%。
