Investigating predictive tools for refinery effluent hazard assessment using stream mesocosms.


Journal

Environmental toxicology and chemistry
ISSN: 1552-8618
Titre abrégé: Environ Toxicol Chem
Pays: United States
ID NLM: 8308958

Informations de publication

Date de publication:
03 2019
Historique:
received: 10 07 2018
revised: 08 09 2018
accepted: 10 12 2018
pubmed: 21 12 2018
medline: 14 6 2019
entrez: 21 12 2018
Statut: ppublish

Résumé

Hazard assessment of refinery effluents is challenging because of their compositional complexity. Therefore, a weight-of-evidence approach using a combination of tools is often required. Previous research has focused on several predictive tools for sophisticated chemical analyses: biomimetic extraction to quantify the potentially bioaccumulative substances, 2-dimensional gas chromatography, modeling approaches to link oil composition to toxicity (PETROTOX), and whole-effluent toxicity assessments using bioassays. The present study investigated the value of these tools by comparing predicted effects to actual effects observed in stream mesocosm toxicity studies with refinery effluents. Three different effluent samples, with and without fortification by neat petroleum substances, were tested in experimental freshwater streams. The results indicate that the biological community shifted at higher exposure levels, consistent with chronic toxicity effects predicted by both modeled toxic units and potentially bioaccumulative substance measurements. The present study has demonstrated the potential of the predictive tools and the robustness of the stream mesocosm design to improve our understanding of the environmental hazards posed by refinery effluents. Environ Toxicol Chem 2019;38:650-659. © 2018 SETAC.

Identifiants

pubmed: 30569466
doi: 10.1002/etc.4338
doi:

Substances chimiques

Petroleum 0
Water Pollutants, Chemical 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

650-659

Informations de copyright

© 2018 SETAC.

Auteurs

Kevin Cailleaud (K)

Pôle d'études et de Recherche de Lacq, TOTAL, Lacq, France.

Anne Bassères (A)

Pôle d'études et de Recherche de Lacq, TOTAL, Lacq, France.

Clémentine Gelber (C)

Pôle d'études et de Recherche de Lacq, TOTAL, Lacq, France.

Jaap F Postma (JF)

Ecofide consultants, Weesp, The Netherlands.

Anneke T M Ter Schure (ATM)

Ecofide consultants, Weesp, The Netherlands.

Pim E G Leonards (PEG)

Department of Environment and Health, VU University Amsterdam, Amsterdam, The Netherlands.

Aaron D Redman (AD)

ExxonMobil Biomedical Sciences, Annandale, New Jersey, USA.

Graham F Whale (GF)

Shell International, Shell Health Risk Science Team, Shell Centre, London, United Kingdom.

Mike J Spence (MJ)

Concawe, The European Oil Companies' Association for Environment, Health and Safety in Refining and Distribution, Brussels, Belgium.

Markus Hjort (M)

Concawe, The European Oil Companies' Association for Environment, Health and Safety in Refining and Distribution, Brussels, Belgium.

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Classifications MeSH