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高分辨率质谱法的非目标筛查:基于水分析合作试验的批判性综述

Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis.

作者信息

Schymanski Emma L, Singer Heinz P, Slobodnik Jaroslav, Ipolyi Ildiko M, Oswald Peter, Krauss Martin, Schulze Tobias, Haglund Peter, Letzel Thomas, Grosse Sylvia, Thomaidis Nikolaos S, Bletsou Anna, Zwiener Christian, Ibáñez María, Portolés Tania, de Boer Ronald, Reid Malcolm J, Onghena Matthias, Kunkel Uwe, Schulz Wolfgang, Guillon Amélie, Noyon Naïke, Leroy Gaëla, Bados Philippe, Bogialli Sara, Stipaničev Draženka, Rostkowski Pawel, Hollender Juliane

机构信息

Eawag: Swiss Federal Institute for Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland,

出版信息

Anal Bioanal Chem. 2015 Aug;407(21):6237-55. doi: 10.1007/s00216-015-8681-7. Epub 2015 May 15.

Abstract

In this article, a dataset from a collaborative non-target screening trial organised by the NORMAN Association is used to review the state-of-the-art and discuss future perspectives of non-target screening using high-resolution mass spectrometry in water analysis. A total of 18 institutes from 12 European countries analysed an extract of the same water sample collected from the River Danube with either one or both of liquid and gas chromatography coupled with mass spectrometry detection. This article focuses mainly on the use of high resolution screening techniques with target, suspect, and non-target workflows to identify substances in environmental samples. Specific examples are given to emphasise major challenges including isobaric and co-eluting substances, dependence on target and suspect lists, formula assignment, the use of retention information, and the confidence of identification. Approaches and methods applicable to unit resolution data are also discussed. Although most substances were identified using high resolution data with target and suspect-screening approaches, some participants proposed tentative non-target identifications. This comprehensive dataset revealed that non-target analytical techniques are already substantially harmonised between the participants, but the data processing remains time-consuming. Although the objective of a "fully-automated identification workflow" remains elusive in the short term, important steps in this direction have been taken, exemplified by the growing popularity of suspect screening approaches. Major recommendations to improve non-target screening include better integration and connection of desired features into software packages, the exchange of target and suspect lists, and the contribution of more spectra from standard substances into (openly accessible) databases. Graphical Abstract Matrix of identification approach versus identification confidence.

摘要

在本文中,使用了由诺曼协会组织的一项合作非靶向筛查试验的数据集,以回顾当前的技术水平,并讨论在水分析中使用高分辨率质谱进行非靶向筛查的未来前景。来自12个欧洲国家的18个机构,使用液相色谱和气相色谱中的一种或两种与质谱检测联用,分析了从多瑙河采集的同一份水样的提取物。本文主要关注使用具有靶向、可疑和非靶向工作流程的高分辨率筛查技术,来识别环境样品中的物质。文中给出了具体例子,以强调主要挑战,包括等压和共洗脱物质、对靶向和可疑列表的依赖、分子式分配、保留信息的使用以及鉴定的可信度。还讨论了适用于单位分辨率数据的方法。尽管大多数物质是使用靶向和可疑筛查方法的高分辨率数据进行鉴定的,但一些参与者提出了初步的非靶向鉴定。这个综合数据集表明,参与者之间的非靶向分析技术已经基本统一,但数据处理仍然耗时。尽管“全自动鉴定工作流程”的目标在短期内仍难以实现,但已经朝着这个方向迈出了重要步伐,可疑筛查方法的日益普及就是例证。改进非靶向筛查的主要建议包括,将所需功能更好地集成并连接到软件包中、交换靶向和可疑列表,以及将更多标准物质的光谱贡献到(可公开访问的)数据库中。识别方法与识别可信度的图形摘要矩阵。

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