Literature DB >> 33506334

Benchmarking of the quantification approaches for the non-targeted screening of micropollutants and their transformation products in groundwater.

Anneli Kruve1, Karin Kiefer2,3, Juliane Hollender2,3.   

Abstract

A wide range of micropollutants can be monitored with non-targeted screening; however, the quantification of the newly discovered compounds is challenging. Transformation products (TPs) are especially problematic because analytical standards are rarely available. Here, we compared three quantification approaches for non-target compounds that do not require the availability of analytical standards. The comparison is based on a unique set of concentration data for 341 compounds, mainly pesticides, pharmaceuticals, and their TPs in 31 groundwater samples from Switzerland. The best accuracy was observed with the predicted ionization efficiency-based quantification, the mean error of concentration prediction for the groundwater samples was a factor of 1.8, and all of the 74 micropollutants detected in the groundwater were quantified with an error less than a factor of 10. The quantification of TPs with the parent compounds had significantly lower accuracy (mean error of a factor of 3.8) and could only be applied to a fraction of the detected compounds, while the mean performance (mean error of a factor of 3.2) of the closest eluting standard approach was similar to the parent compound approach.

Entities:  

Keywords:  LC/HRMS; Non-targeted; Quantification; Transformation products

Year:  2021        PMID: 33506334     DOI: 10.1007/s00216-020-03109-2

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  Uncertainty estimation strategies for quantitative non-targeted analysis.

Authors:  Louis C Groff; Jarod N Grossman; Anneli Kruve; Jeffrey M Minucci; Charles N Lowe; James P McCord; Dustin F Kapraun; Katherine A Phillips; S Thomas Purucker; Alex Chao; Caroline L Ring; Antony J Williams; Jon R Sobus
Journal:  Anal Bioanal Chem       Date:  2022-06-14       Impact factor: 4.478

2.  Use of Passive and Grab Sampling and High-Resolution Mass Spectrometry for Non-Targeted Analysis of Emerging Contaminants and Their Semi-Quantification in Water.

Authors:  Đorđe Tadić; Rayana Manasfi; Marine Bertrand; Andrés Sauvêtre; Serge Chiron
Journal:  Molecules       Date:  2022-05-16       Impact factor: 4.927

3.  First Novel Workflow for Semiquantification of Emerging Contaminants in Environmental Samples Analyzed by Gas Chromatography-Atmospheric Pressure Chemical Ionization-Quadrupole Time of Flight-Mass Spectrometry.

Authors:  Reza Aalizadeh; Varvara Nikolopoulou; Nikiforos A Alygizakis; Nikolaos S Thomaidis
Journal:  Anal Chem       Date:  2022-06-27       Impact factor: 8.008

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

5.  Approaches for assessing performance of high-resolution mass spectrometry-based non-targeted analysis methods.

Authors:  Christine M Fisher; Katherine T Peter; Seth R Newton; Andrew J Schaub; Jon R Sobus
Journal:  Anal Bioanal Chem       Date:  2022-07-07       Impact factor: 4.478

6.  Estimation of the concentrations of hydroxylated polychlorinated biphenyls in human serum using ionization efficiency prediction for electrospray.

Authors:  Sara Khabazbashi; Josefin Engelhardt; Claudia Möckel; Jana Weiss; Anneli Kruve
Journal:  Anal Bioanal Chem       Date:  2022-05-04       Impact factor: 4.478

7.  Change in the chemical content of untreated wastewater of Athens, Greece under COVID-19 pandemic.

Authors:  Nikiforos Alygizakis; Aikaterini Galani; Nikolaos I Rousis; Reza Aalizadeh; Meletios-Athanasios Dimopoulos; Nikolaos S Thomaidis
Journal:  Sci Total Environ       Date:  2021-07-30       Impact factor: 7.963

  7 in total

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