对于LC-HRMS的近实时自动化QC
Michael J Mohr1,2, Linus Strähle1, Tobias Bader1
1Zweckverband Landeswasserversorgung, Stuttgart, Germany.
Rapid communications in mass spectrometry : RCM
|February 17, 2026
概括
液体染色学高分辨率质谱仪 (LC-HRMS) 的自动化质量控制 (QC) 几乎可以实时检测问题,防止样本丢失和重播. 这种工作流通过立即警报和趋势分析来提高分析测量的可靠性.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 分析测量的传统质量控制 (QC) 发生在批次后,冒着样品丢失和重复的风险.
- 在LC-HRMS采集过程中,自动化,实时的QC可以及时识别问题.
- 本研究评估了一种新的QC方法,使用历史的河水监测数据.
研究的目的:
- 开发和评估LC-HRMS的自动化,近乎实时的质量控制工作流.
- 为了能够在数据采集过程中立即检测和记录性能探险.
- 通过主动标记问题来最大限度地减少样本丢失并防止昂贵的重播.
主要方法:
- 开发了一个模块化的MATLAB工作流程,以跟踪同位素标记的内部标准.
- 使用PCA和Hotelling的T2的多变量统计过程控制 (MSPC) 应用于峰值高度,保留时间和质量误差.
- 立即发出电子邮件警报,结果记录在一个PostgreSQL数据库/Grafana仪表板上.
主要成果:
- 工作流成功地在模拟仪器故障 (电源故障,故障) 中标记了问题.
- 在MSPC检测到质量误差异时,即使不违反单变量极限,也会发现质量误差异.
- 在MSPC和单变值值之间观察到很高的一致性,I型和II型错误最小.
结论:
- 开发的工作流允许立即检测,分类和记录LC-HRMS中的性能远程.
- 它支持主动维护,并尽量减少停机时间,保护有价值的样品.
- 工作流是无关仪器的,广泛适用于内部标准化的LC-HRMS方法.
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