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探索使用离子流动性质谱学的潜力,以在食品控制中将矩阵干扰与分析物分开

Sjors Rasker¹, Marco H Blokland¹, Toine F H Bovee¹

¹Wageningen Food Safety Research (WFSR), Part of Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

|March 15, 2024

概括

离子移动性光谱学与液体染色学质谱学 (LC-IM-MS) 结合,有效地区分了肝样本中的 stanozolol 与干扰信号. 这种先进的技术提高了食品安全残留分析的准确性,克服了传统LC-MS/MS方法的局限性.

科学领域:

分析化学分析化学
食品安全分析食品安全分析
法医毒理学法医毒理学

背景情况:

在食物等复杂矩阵中的残留分析可能是具有挑战性的,因为干扰信号与目标分析物重叠.
传统的液体染色学-并联质谱学 (LC-MS/MS) 可能产生假阳性,妨碍准确识别诸如 stanozolol,作为生长促进剂的合成合成合成类固醇等物质.
在对肝脏样本的常规LC-MS/MS分析中检测到模仿斯坦诺佐洛尔的干扰信号.

研究的目的:

评估液体染色学与离子流动性质谱法 (LC-IM-MS) 方法相结合的性能,以消除 stanozolol 残留分析中的假阳性结果.
确定LC-IM-MS是否可以有效地将斯坦诺佐洛尔与复杂肝脏矩阵中的干扰化合物分离开来.
为了验证使用碰撞横截面 (CCS) 值用于 stanozolol 识别和量化.

主要方法:

使用液体色谱与离子移动性质谱 (LC-IM-MS) 系统相结合.
采用循环离子移动系统来增强分离.
计算并将碰撞截面 (CCS) 值与用于分析物识别的文献数据进行比较.

主要成果:

通过LC-IM-MS方法,单次通过成功地将 stanozolol 与干扰峰分离出来,比传统的LC-MS/MS显著改善.
斯坦诺佐洛尔的计算CCS值与文献数据一致,证实了其身份.
该方法允许在复杂的肝脏样本中准确识别和量化 stanozolol.

结论:

LC-IM-MS提供了一种强大的解决方案,用于解决复杂矩阵中的干扰信号,提高残留分析的可靠性.
离子移动性的整合提供了一个额外的分离维度,对于克服传统LC-MS/MS的局限性和确保食品安全至关重要.
这项研究验证了LC-IM-MS作为一种可靠的技术,用于在肝脏样本中确定和量化 stanozolol,减轻虚假阳性发现.

关键词:

类固醇类固醇是一种类固醇类固醇.中央证券交易所 (CCS) 是一个.循环离子流动性的周期性离子流动性.标识识别识别识别肝脏肝脏肝脏肝脏

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