In vitro bioassay monitoring to assess baseline conditions prior to potential discharge of treated oil sands process water in receiving aquatic environments
Notice bibliographique
Résumé
The Alberta oil sands is one of the largest oil reserves in the world. However, there are concerns regarding the potential environmental and human health impacts of the oil sands development. During oil sands mining, large volumes of oil sands process-affected water (OSPW) is produced, which can only be recycled and/or stored in tailings ponds as there currently are no guidelines regarding its treatment and release into the receiving environment. OSPW is a complex mixture consisting of bitumen, organic and inorganic compounds, and solid materials, which can cause acute and sub-chronic toxicity to a range of aquatic organisms including invertebrates and fish. Recently, there have been efforts in motion by the oil sands industry to treat and release OSPW into the Lower Athabasca River, which is being assessed by the Federal and Alberta governments. This study uses a battery of seven in vitro bioassay tests to perform a bioanalytical assessment of untreated OSPW, surface water samples from 15 sites along the Lower Athabasca River and the effluents from two regional municipal wastewater treatment plants (WWTPs). All samples were filtered and enriched using solid phase extraction and the reconstituted extracts were used for chemical (FTIR) and bioanalyses. The main objective of this research was to assess the current bioactivity of the Lower Athabasca River. The same battery of in vitro bioassays was used to investigate whether in vitro bioassays can differentiate untreated OSPW from other types of water samples (i.e., municipal effluents and surface waters) by determining the relevant toxicity pathways. Finally, the bioassay responses were compared to the ecological effects-based trigger (EBT) values appropriate for each assay. The tests covered five toxicity endpoints: cytotoxicity, estrogenicity, mutagenicity, oxidative stress response and xenobiotic metabolism. Untreated OSPW showed high responses to all bioassay tests employed where 5 out of 7 signals exceeded the published EBT values. This result indicated that in vitro bioassays can be applied in the oil sands industry, and that all endpoints targeted in this study are relevant to this industry with cytotoxicity, estrogenicity, mutagenicity, and binding to the PPARɣ as primary toxicity indicators and oxidative stress and the induction of the AhR as secondary indicators. Although the WWTPs were active in most bioassays, the potential toxicity risks associated with direct exposure to these effluents are likely reduced due to the mixing patterns of the river. The low bioactivity responses of samples from the Lower Athabasca River suggests that there are low toxicity risks with its current stressors, but there is the potential for increased toxicity risks due to the discharge of OSPW-related contaminants if treated OSPW is released into the river. Finally, this study demonstrates that there is a relationship between bioactivity of the river and its hydrologic conditions due to the higher responses observed in June during high-flow conditions than in August (low-flow). However, further investigation is needed to establish this relationship.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».