Institute for Instrumental Analytics and Bioanalytics, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.
Molecules. 2021 Sep 8;26(18):5457. doi: 10.3390/molecules26185457.
Due to its high sensitivity and resolving power, gas chromatography-ion mobility spectrometry (GC-IMS) is a powerful technique for the separation and sensitive detection of volatile organic compounds. It is a robust and easy-to-handle technique, which has recently gained attention for non-targeted screening (NTS) approaches. In this article, the general working principles of GC-IMS are presented. Next, the workflow for NTS using GC-IMS is described, including data acquisition, data processing and model building, model interpretation and complementary data analysis. A detailed overview of recent studies for NTS using GC-IMS is included, including several examples which have demonstrated GC-IMS to be an effective technique for various classification and quantification tasks. Lastly, a comparison of targeted and non-targeted strategies using GC-IMS are provided, highlighting the potential of GC-IMS in combination with NTS.
由于其高灵敏度和分辨率，气相色谱-离子迁移谱（GC-IMS）是一种强大的技术，可用于挥发性有机化合物的分离和灵敏检测。它是一种强大且易于操作的技术，最近因其非靶向筛选（NTS）方法而受到关注。本文介绍了 GC-IMS 的一般工作原理。接下来，描述了使用 GC-IMS 进行 NTS 的工作流程，包括数据采集、数据处理和模型构建、模型解释和补充数据分析。包括几个示例，这些示例表明 GC-IMS 是用于各种分类和定量任务的有效技术，详细概述了使用 GC-IMS 进行 NTS 的最新研究。最后，提供了使用 GC-IMS 的靶向和非靶向策略的比较，突出了 GC-IMS 与 NTS 结合的潜力。
