Abstract
The toxicity of oil sands process-affected water (OSPW) has been associated to its dissolved organics, a complex mixture of naphthenic acid fraction components (NAFCs). Here, we evaluated solar treatment with buoyant photocatalysts (BPCs) as a candidate passive advanced oxidation process (P-AOP) for OSPW remediation, according to both analytical chemistry and standard rainbow trout (Oncorhynchus mykiss) and fathead minnow (Pimephales promelas) whole effluent toxicity (WET) bioassays. Solar photocatalysis with BPCs fully degraded naphthenic acids (NAs) and acid extractable organics (AEO) in 3 different OSPW samples, however fish toxicity was eliminated well before concentrations of dissolved organics had significantly diminished, within <2 days of sunlight exposure for all OSPWs. Classical NAs and AEO, traditionally considered among the principal toxicants in OSPW, were not correlated with OSPW toxicity herein. Instead, petroleomic mass spectrometry (MS) analysis revealed low polarity organosulfur NAFCs – O2S− and OS+ (putatively naphthenic sulfoxides), together composing <10% of the total AEO – were correlated with WET outcomes, and apparently accounted for the majority of waters’ toxicity, as described by a physiologically-based model (PBM) of tissue partitioning. These results demonstrate that complete elimination of OSPW toxicity per standard WET bioassays is achievable without significant changes to overall concentrations of dissolved organics, suggesting that most AEO are toxicologically benign, and toxicity may instead be driven by only a small subset of NAFCs, which are preferentially photocatalytically treated. These findings have implications for OSPW release, for which a less extensive but more selective treatment may be required than previously expected.
Supplementary materials
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Figure S1
Description
Interactive 3D figure. Fit of octanol-water partition coefficient (Kow) regression model to experimental data, for the O2− (classical NAs) heteroatomic class. The scatter points are empirical measurements, while the surfaces are the regression model fit to this data. Model predictions were truncated to -4.5 ≤ log(Kow) ≤ 4.5 for conservative estimation outside the range of the fitted data.
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Figure S2
Description
Interactive 3D figure. Fit of octanol-water partition coefficient (Kow) regression model to experimental data,86 for the OS+ heteroatomic class. The scatter points are empirical measurements, while the surfaces are the regression model fit to this data. Model predictions were truncated to -4.5 ≤ log(Kow) ≤ 4.5 for conservative estimation outside the range of the fitted data.
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SI Tables
Description
Tables S1 to S6
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