捕获离子移动性提高了表述精度在LC-HRMS查应用程序的表述学
Carolin Huber1, Nadin Ulrich1, Martin Krauss1
1Department of Exposure Science, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, Leipzig 04318, Germany.
Analytical chemistry
|October 31, 2025
概括
捕获离子移动性光谱 (TIMS) 通过分离凝聚化合物和矩阵干扰来增强质谱. 这提高了分析复杂样品 (如尿液和废水) 环境污染物的准确性.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 生物分子分析
背景情况:
- 液体染色学-质谱学 (LC-MS) 对于分析复杂样品至关重要.
- 凝结矩阵干扰和异构体往往使LC-MS分析复杂化.
- 碰撞截面 (CCS) 提供了一个强大的,矩阵独立的参数来补充保留时间 (RT).
研究的目的:
- 评估被困离子移动性谱法 (TIMS) 的优势,用于分析多样化的人类和环境矩阵.
- 评估TIMS在解决凝聚化合物和减少分析干扰方面的能力.
- 为了证明TIMS在疑似查应用中的实用性.
主要方法:
- 合TIMS与质谱仪进行分析分离.
- 为769种环境污染物开发一个选库.
- 对人体样本 (尿液,血清,母乳) 和暴露相关矩阵 (尘埃,废水) 的分析.
- 与不同电离模式的参考标准对移动性值的比较.
主要成果:
- 创建了一个 948 个 CCS 值 (594 个正, 354 个负的电离模式) 的库.
- 在所有矩阵中确定了具有明显移动性值的112个峰值,表明了凝聚力.
- TIMS有效地分离了具有相似m/z和RT但不同的机动图的化合物.
- 观察到不确的赋值显著减少,并改善了MS2覆盖范围的低丰度离子.
结论:
- 蒂姆斯显著提高了基于质谱的查的特异性和可靠性.
- TIMS提供的矩阵独立的CCS参数有助于解决复杂的混合物.
- 蒂姆斯对于对嫌疑人进行查,提高数据质量和减少假阳性来说尤其有益.
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