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关于离子淌度谱与 GC 预分离联用的潜力——教程。

On the potential of ion mobility spectrometry coupled to GC pre-separation - A tutorial.

机构信息

Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, Germany.

Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, Germany.

出版信息

Anal Chim Acta. 2018 Sep 18;1024:52-64. doi: 10.1016/j.aca.2018.02.052. Epub 2018 Mar 2.

DOI:10.1016/j.aca.2018.02.052
PMID:29776547
Abstract

In this tutorial, we want to demonstrate the significant potential of ion mobility spectrometry (IMS), an analytical technique for identification and quantification of gas-phase compounds, in particular combined to other useful analytical tools. Coupled to gas-chromatographic pre-separation (GC-IMS), selectivity can be improved significantly, thus enabling the analysis of complex, humid mixtures. In-line pre-concentration can improve sensitivity down to the ppq range. Furthermore, the use of non-radioactive ionisation sources in the near future could gain acceptance and will avoid legal restrictions. Hence, with suitable and controlled sampling, implementation of appropriate substance and pattern databases and data evaluation software, GC-IMS as rapid, selective and sensitive analytical tool has shown its high potential for many applications in process and quality control, medicine (diagnostics, medication and therapy control), biology, safety and security. In the present tutorial, we want to demonstrate this capacity on behalf of examples from the application fields mentioned above, with particular focus on controlled sampling, pre-concentration and pre-separation as well as on data treatment and interpretation.

摘要

在本教程中,我们将展示离子迁移谱(IMS)的巨大潜力,这是一种用于鉴定和定量气相化合物的分析技术,特别是与其他有用的分析工具相结合。与气相色谱预分离(GC-IMS)相结合,可以显著提高选择性,从而能够分析复杂、潮湿的混合物。在线预浓缩可以将灵敏度提高到 ppq 范围。此外,在不久的将来使用非放射性离子源可能会被接受,并将避免法律限制。因此,通过适当和受控的采样,实施适当的物质和模式数据库以及数据评估软件,GC-IMS 作为一种快速、选择性和灵敏的分析工具,已经在过程和质量控制、医学(诊断、药物治疗和控制)、生物学、安全和保障等许多应用领域展示了其巨大的潜力。在本教程中,我们将以上述应用领域的示例为例,展示这种能力,特别关注受控采样、预浓缩和预分离以及数据处理和解释。

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