Literature DB >> 31386952

Establishing a link between composition and toxicity of offshore produced waters using comprehensive analysis techniques - A way forward for discharge monitoring?

Lisbet Sørensen1, Paul McCormack2, Dag Altin3, William J Robson2, Andy M Booth4, Liv-Guri Faksness4, Steven J Rowland2, Trond R Størseth4.   

Abstract

Extracts of produced waters from five mature Norwegian Sea oil fields were examined as total organic extracts (TOEs) and after fractionation into operationally-defined 'polar' and 'apolar' fractions. The TOEs and fractions were examined by gas chromatography (GC), GC-mass spectrometry (GC-MS), two dimensional GC-MS (GC × GC-MS) and liquid chromatography with high-resolution spectrometry (LC-HRMS) techniques. Low molecular weight aromatics, phenols and other common petroleum-derived hydrocarbons were characterized and quantified in the TOEs and fractions. In addition, a range of more uncommon polar and apolar constituents, including those likely derived from production chemicals, such as trithiolane, imidazolines and quaternary amine compounds (so-called 'quats'), were tentatively identified, using GC × GC-MS and LC-HRMS. The acute toxicity of the TOEs and subfractions was investigated using early life stages of the marine copepod Acartia tonsa. Toxicity varied significantly for different PW TOEs and subfractions. For some PWs, the toxicity was attributed mainly to the 'polar' components, while that of other PWs was associated mainly with the 'apolar' components. Importantly, the observed toxicity could not be explained by the presence of the commonly reported compounds only. Although, due to the vast chemical complexity even of the sub-fractions of the PW extracts, specific compounds driving the observed toxicity could be not be elucidated in this study, the proposed approach may suggest a way forward for future revisions of monitoring regimes for PW discharges.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acartia tonsa; Characterization; GC × GC–MS; LC-Orbitrap-MS; Production chemicals

Year:  2019        PMID: 31386952     DOI: 10.1016/j.scitotenv.2019.133682

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  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

2.  Comparison of Substance-Based and Whole-Effluent Toxicity of Produced Water Discharges from Norwegian Offshore Oil and Gas Installations.

Authors:  Pepijn de Vries; Robbert G Jak; Tone K Frost
Journal:  Environ Toxicol Chem       Date:  2022-07-28       Impact factor: 4.218

  2 in total

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