Naphthenic acids: identification of structural properties that influence acute toxicity
Notice bibliographique
Résumé
The oil sands of north-eastern Alberta, Canada contain the second largest oil reserve on Earth, with an estimated 173.2 billion barrels of recoverable bitumen. The primary method for the extraction of bitumen from oil sand has been the Clark hot water extraction, a procedure that uses 80°C water and sodium hydroxide. The alkaline water used for the extraction is recycled, resulting in the release and concentration of naphthenic acids (NAs) from the sediment. NAs, a natural constituent of oil sand, have been identified as the principal toxic components of oil sands process-affected water (OSPW). Field studies have demonstrated that microbial degradation of lower molecular weight (MW) NAs leads to decreased acute toxicity, although the mechanism by which lower MW NAs would elicit a greater toxic response has not been described. Prior to the start of toxicity testing in this project, a time-efficient method for the extraction, purification, and concentration of NAs from OSPW was developed. In place of using ultrafiltration, diethylamoniethyl (DEAE) cellulose was used to remove humic-like materials from the organic acid extract, shortening the time required by approximately 90%. Kugelrohr distillation was used to separate a mixture of methylated NAs by differences in boiling point. Higher boiling NAs had a greater MW, as confirmed by electrospray ionization mass spectrometry (ESI-MS). Subsequent toxicity tests with 'Vibrio fischeri' using the Microtox assay revealed that toxicity decreased from the lowest MW fraction (41.9 ± 95% confidence interval (CI) of 5.5 mg L-1) to the highest (64.9 ± 95% CI of 14.5 mg L-1). Proton nuclear magnetic resonance (1H NMR) analysis of the Kugelrohr distilled methylated NA fractions revealed an increasing ratio of methyl ester hydrogen atoms to remaining aliphatic hydrogen atoms from the lowest MW fraction (0.130) to the highest MW fraction (0.214). These results, coupled with analysis by ESI-MS, indicate greater carboxylic acid content within NAs of higher MW and a greater degree of cyclicity. To investigate the influence of multiple carboxylic acid groups as well as increased MW on NA toxicity, eight NA-like surrogates (four mono-carboxylic; four di-carboxylic) were assayed in 'V. fischeri' and ' Daphnia magna.' The acute toxicity of the NA-like surrogates increased with higher MW, however, the toxicity significantly decreased with the presence of an additional carboxylic acid group. These results suggest that acute toxicity of NAs is dependent upon hydrophobicity, therefore the probable mode of action is narcosis, also referred to as membrane disruption. To determine the practicality of utilizing a (Quantitative) Structure-Activity Relationship ((Q)SAR) model to predict NA toxicity, the eight NA-like surrogates were entered into USEPA's ECOSAR model. The model's predicted toxicities were similar to observed toxicities in 'V. fischeri' and 'D. magna' assays, indicating that the model has potential to serve as a prioritization tool for identifying NA structures likely to have an increased toxicity. The ECOSAR model predicted increased toxic potency for NAs of equal MW containing fewer carbon rings. Furthermore, NA structures with a linear grouping of carbon rings had a greater predicted toxic potency than structures containing carbon rings in a clustered grouping.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».