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在线呼吸分析中识别和定量方面的挑战
Timon Käser1, Stamatios Giannoukos1, Renato Zenobi1
1Laboratory of Organic Chemistry, ETH Zürich, Vladimir-Prelog-Weg 3, 8093 Zürich, Switzerland.
Journal of breath research
|April 7, 2025
概括
使用二次电喷射电离质谱法 (SESI-MS) 进行精确的呼吸分析是具有挑战性的. 这项研究表明,MS2测量可以提高识别能力,但与化物等低丰度化合物作斗争,冒着错误量化的风险.
科学领域:
- 分析化学 分析化学
- 生物医学诊断 生物医学诊断
背景情况:
- 呼出的呼吸中的挥发性有机化合物 (VOC) 具有诊断潜力.
- 二次电喷射电离质谱仪 (SESI-MS) 检测到数千种挥发性有机物.
- 在SESI-MS中MS1测量容易出现识别错误.
研究的目的:
- 评估SESI-MS获取方法用于人类呼吸中的VOC识别和量化.
- 评估MS2测量对目标化合物的有用性.
主要方法:
- 在12名志愿者身上分析了内源性呼吸化合物 (甲基化物,烯,胺).
- 采用全扫描,选定离子监测和并行反应监测采集方法.
- 与外部标准和MS2数据相比,经过验证的识别和量化.
主要成果:
- 在MS2支持下,使用所有方法成功识别和量化了烯和二烯.
- MS2数据显示,在将烯与松烯分离方面存在局限性.
- 低丰度的化物很难与异构基区分开来,导致错误的赋值和不准确的量化.
结论:
- 虽然SESI-MS与MS2增强了呼吸中的VOC分析,但低丰度和异构化合物的挑战仍然存在.
- 谨慎的方法选择和验证对于可靠的呼吸生物标志物发现至关重要.
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