Guo Zeqin, Huang Sheng, Wang Jianhua, Feng Yong-Lai
College of Bioengineering, Chongqing University, Chongqing, 400044, PR China; Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, AL: 2203 B, 251 Sir Frederick Banting Driveway, Ottawa, Ontario, K1A 0K9, Canada.
College of Bioengineering, Chongqing University, Chongqing, 400044, PR China.
Talanta. 2020 Nov 1;219:121339. doi: 10.1016/j.talanta.2020.121339. Epub 2020 Jul 7.
Over the last decade, advances related to high-resolution mass spectrometry (HRMS) have led to improved capabilities for non-targeted chemical analyses. Important applications for these capabilities include identifying unknown xenobiotics and discovering emerging contaminants in human samples as exposure biomarkers. Despite technological advances, identifying unknown compounds by non-targeted analyses remains challenging due in part to the lack of MS spectral libraries and inherent sample complexity resulting in the generation of large amounts of MS data. While high resolution can separate nominally isobaric compounds in a mass spectrum, isomers cannot be distinguished. Much work also remains to develop models to predict both mass spectra and retention times for the unexplored regions of chemical space. In this review, we focus on recent advances and applications of non-targeted analyses using liquid chromatography - high-resolution mass spectrometry (LC-HRMS) in human biomonitoring, including sample preparation, molecular formula assignments, and prediction models for retention times and mass fragmentations, to enable and improve identifications of unknown chemicals. The purpose of this review is to improve our understanding of the applicability and limitations in both the analytical methods and data analysis aspects of non-targeted analysis in human exposure studies. We also discuss the challenges and prospects in this field for future research on sample preparation, identification confidence and accuracy, data processing tools, MS spectra comparability, liquid chromatographic retention time (RT) prediction algorithms, and quantitative capabilities.
在过去十年中,与高分辨率质谱(HRMS)相关的进展提高了非靶向化学分析的能力。这些能力的重要应用包括识别未知的外源性物质以及在人类样本中发现作为暴露生物标志物的新出现污染物。尽管技术有所进步,但通过非靶向分析识别未知化合物仍然具有挑战性,部分原因是缺乏质谱图库以及样本固有的复杂性导致产生大量质谱数据。虽然高分辨率可以在质谱中分离名义上的等压化合物,但异构体无法区分。开发用于预测化学空间未探索区域的质谱和保留时间的模型也仍有许多工作要做。在本综述中,我们重点关注使用液相色谱 - 高分辨率质谱(LC - HRMS)进行非靶向分析在人体生物监测中的最新进展和应用,包括样品制备、分子式确定以及保留时间和质谱碎裂的预测模型,以实现和改进对未知化学物质的识别。本综述的目的是增进我们对人体暴露研究中非靶向分析在分析方法和数据分析方面的适用性和局限性的理解。我们还讨论了该领域在样品制备、识别置信度和准确性、数据处理工具、质谱可比性、液相色谱保留时间(RT)预测算法以及定量能力等未来研究方面的挑战和前景。