Investigating predictive tools for refinery effluent hazard assessment using stream mesocosms.
Biomimetic extraction
Mesocosms
PETROTOX
Refinery effluents
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
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.
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
650-659Informations de copyright
© 2018 SETAC.