Literature DB >> 29943466

Semi-quantitative non-target analysis of water with liquid chromatography/high-resolution mass spectrometry: How far are we?

Anneli Kruve1.   

Abstract

Combining high-resolution mass spectrometry (HRMS) with liquid chromatography (LC) has considerably increased the capability of analytical chemistry. Among others, it has stimulated the growth of the non-target analysis, which aims at identifying compounds without their preceding selection. This approach is already widely applied in various fields, such as metabolomics, proteomics, etc. The applicability of LC/HRMS-based non-target analysis in environmental analyses, such as water studies, would be beneficial for understanding the environmental fate of polar pollutants and evaluating the health risks exposed by the new emerging contaminants. During the last five to seven years the use of LC/HRMS-based non-target analysis has grown rapidly. However, routine non-target analysis is still uncommon for most environmental monitoring agencies and environmental scientists. The main reasons are the complicated data processing and the inability to provide quantitative information about identified compounds. The latter shortcoming follows from the lack of standard substances, considered so far as the soul of each quantitative analysis for the newly discovered pollutants. To overcome this, non-target analyses could be combined with semi-quantitation. This Perspective aims at describing the current methods for non-target analysis, the possibilities and challenges of standard substance-free semi-quantitative analysis, and proposes tools to join these two fields together.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Year:  2018        PMID: 29943466     DOI: 10.1002/rcm.8208

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  6 in total

1.  The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification.

Authors:  Maciej Przybyłek; Waldemar Studziński; Alicja Gackowska; Jerzy Gaca
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-30       Impact factor: 4.223

2.  An Introduction to the Benchmarking and Publications for Non-Targeted Analysis Working Group.

Authors:  Benjamin J Place; Elin M Ulrich; Jonathan K Challis; Alex Chao; Bowen Du; Kristin Favela; Yong-Lai Feng; Christine M Fisher; Piero Gardinali; Alan Hood; Ann M Knolhoff; Andrew D McEachran; Sara L Nason; Seth R Newton; Brian Ng; Jamie Nuñez; Katherine T Peter; Allison L Phillips; Natalia Quinete; Ryan Renslow; Jon R Sobus; Eric M Sussman; Benedikt Warth; Samanthi Wickramasekara; Antony J Williams
Journal:  Anal Chem       Date:  2021-11-29       Impact factor: 6.986

3.  patRoon: open source software platform for environmental mass spectrometry based non-target screening.

Authors:  Rick Helmus; Thomas L Ter Laak; Annemarie P van Wezel; Pim de Voogt; Emma L Schymanski
Journal:  J Cheminform       Date:  2021-01-06       Impact factor: 5.514

4.  Machine Learning for Absolute Quantification of Unidentified Compounds in Non-Targeted LC/HRMS.

Authors:  Emma Palm; Anneli Kruve
Journal:  Molecules       Date:  2022-02-02       Impact factor: 4.411

Review 5.  Suitability of High-Resolution Mass Spectrometry for Routine Analysis of Small Molecules in Food, Feed and Water for Safety and Authenticity Purposes: A Review.

Authors:  Maxime Gavage; Philippe Delahaut; Nathalie Gillard
Journal:  Foods       Date:  2021-03-12

6.  Automated fragment formula annotation for electron ionisation, high resolution mass spectrometry: application to atmospheric measurements of halocarbons.

Authors:  Myriam Guillevic; Aurore Guillevic; Martin K Vollmer; Paul Schlauri; Matthias Hill; Lukas Emmenegger; Stefan Reimann
Journal:  J Cheminform       Date:  2021-10-04       Impact factor: 5.514

  6 in total

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