4.7 Article

The relevant role of ion mobility separation in LC-HRMS based screening strategies for contaminants of emerging concern in the aquatic environment

Journal

CHEMOSPHERE
Volume 280, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2021.130799

Keywords

Ion mobility; Screening workflow; Liquid chromatography high-resolution mass spectrometry; Collision cross section (CCS); Environmental analysis

Funding

  1. Swedish Research Council (FORMAS) [2018-02256]
  2. Spanish Ministry of Science, Innovation and Universities [RTI 2018097417-B-100]
  3. Generalitat Valenciana [2019/040]
  4. University Jaume I of Castellon, Spain [UJI-B2018-55, UJI-B2020-19]
  5. Spanish Ministry of Economy and Competiveness [BES-2016-076914]
  6. Formas [2018-02256] Funding Source: Formas

Ask authors/readers for more resources

IMS-HRMS is a promising technique for the analysis of micropollutants, providing reliable identification. IMS separates ionized compounds and translates data into CCS values, improving identification reliability. The application of IMS and its restrictions have a significant impact on the identification of contaminants.
Ion mobility separation (IMS) coupled to high resolution mass spectrometry (IMS-HRMS) is a promising technique for (non-)target/suspect analysis of micropollutants in complex matrices. IMS separates ionized compounds based on their charge, shape and size facilitating the removal of co-eluting isomeric/isobaric species. Additionally, IMS data can be translated into collision cross-section (CCS) values, which can be used to increase the identification reliability. However, IMS-HRMS for the screening of contaminants of emerging concern (CECs) have been scarcely explored. In this study, the role of IMS-HRMS for the identification of CECs in complex matrices is highlighted, with emphasis on when and with which purpose is of use. The utilization of IMS can result in much cleaner mass spectra, which considerably facilitates data interpretation and the obtaining of reliable identifications. Furthermore, the robustness of IMS measurements across matrices permits the use of CCS as an additional relevant parameter during the identification step even when reference standards are not available. Moreover, an effect on the number of true and false identifications could be demonstrated by including IMS restrictions within the identification workflow. Data shown in this work is of special interest for environmental researchers dealing with the detection of CECs with state-of-the-art IMS-HRMS instruments.

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