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优化GC-MS运行时间用于非目标代谢学:速度,覆盖范围和可重复性之间的权衡

Özge Cansın Zeki¹, Cemil Can Eylem¹, Emirhan Nemutlu¹

¹Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Sıhhiye, Ankara 06230, Turkey.

Journal of pharmaceutical and biomedical analysis

|July 31, 2025

概括

优化气色谱-质谱 (GC-MS) 运行时间平衡了代谢物覆盖和工作流. 较短的方法为批量分析提供了实际优势,而较长的方法增加了分析深度.

科学领域:

代谢学代谢学代谢学
分析化学分析化学
生物化学生物化学

背景情况:

在基于气色谱-质谱 (GC-MS) 的代谢学中,优化运行时间至关重要.
为了有效分析,平衡代谢物覆盖率,可重现性和工作流限制是必不可少的.
不同的生物矩阵 (细胞培养,血,尿液) 存在独特的分析挑战.

研究的目的:

评估不同GC-MS运行时间对代谢物覆盖率和数据质量的影响.
在各种生物样本中比较短,标准 (费恩协议) 和长GC-MS方法.
确定最佳的GC-MS方法,平衡分析深度和实际考虑.

主要方法:

采用了三个具有不同运行时间的GC-MS方法 (26.7分钟,37.5分钟,60分钟).
所有方法都使用了相同的注射量和衍生协议.
对细胞培养,血和尿液样本进行了分析.

主要成果:

简短和标准方法在矩阵中产生了相当数量的注释代谢物.
长方法显著增加了代谢物覆盖率,因为提高了分辨率和解卷.
标准方法和长方法 (RSD 20-24%) 的重复性略好,而短方法 (RSD 23-30%) 的重复性略好.
短方法允许在24小时衍生稳定性窗口内进行完整的批量分析.

结论:

简短和标准的GC-MS方法提供了类似的代谢物识别性能.
长GC-MS方法增强了分析深度和代谢物覆盖范围.
选择GC-MS方法时,应考虑分析深度和实际工作流程限制之间的权衡,特别是样本稳定性.

关键词:

细胞培养培养的细胞培养.数据分析数据分析在GC-MS中使用GC-MS.代谢学代谢学代谢学血等离子体的使用.没有目标,没有目标.尿液尿液尿液

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