Rapid Colorimetric Indicator for Oil Sands Process-Affected Water: An Alternative to Vertebrate Assays for Whole Effluent Toxicity Determination

The Athabasca oil sands in northern Alberta are estimated to hold over 170 billion barrels of crude oil reserves. The bitumen mining and extraction process generates large amounts of oil sands process-affected water (OSPW), the discharge of which is currently prohibited. One of the federal regulatory guidelines emphasizes using Whole Effluent Toxicity (WET) to determine aquatic acute and chronic toxicity. This process is costly and lengthy and involves potentially ethically concerning fish assays. This study proposes a rapid colorimetric indicator based on the selective chemical labeling of toxic components in OSPW. The new method can aid the development of treatment monitoring systems and discharge guidelines as an alternative to conventional approaches. The developed method was tested on raw and photocatalytically treated OSPWs sourced from industry. An s-shaped dose–response curve was obtained between the WET to rainbow trout (Oncorhynchus mykiss) and the sensor signal. Furthermore, a clear correspondence was established between signals from the proposed method and the established biomimetic extraction method, demonstrating comparable mechanisms and accuracy. This method presents a new tool for OSPW treatment monitoring toward natural resource reclamation.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2025-04-21
DOI
https://doi.org/10.1021/acsestwater.4c00951
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rapid Colorimetric Indicator for Oil Sands Process-Affected Water: An Alternative to Vertebrate Assays for Whole Effluent Toxicity Determination

Zi Qi Chen, Timothy Michael Carter Leshuk, Kerry M. Peru, Frank Gu et al.
ACS ES&T Water
Petroleum Processing and Analysis
article

Rapid Colorimetric Indicator for Oil Sands Process-Affected Water: An Alternative to Vertebrate Assays for Whole Effluent Toxicity Determination

Zi Qi Chen, Timothy Michael Carter Leshuk, Kerry M. Peru, Frank Gu, John V. Headley
article en

Abstract

The Athabasca oil sands in northern Alberta are estimated to hold over 170 billion barrels of crude oil reserves. The bitumen mining and extraction process generates large amounts of oil sands process-affected water (OSPW), the discharge of which is currently prohibited. One of the federal regulatory guidelines emphasizes using Whole Effluent Toxicity (WET) to determine aquatic acute and chronic toxicity. This process is costly and lengthy and involves potentially ethically concerning fish assays. This study proposes a rapid colorimetric indicator based on the selective chemical labeling of toxic components in OSPW. The new method can aid the development of treatment monitoring systems and discharge guidelines as an alternative to conventional approaches. The developed method was tested on raw and photocatalytically treated OSPWs sourced from industry. An s-shaped dose–response curve was obtained between the WET to rainbow trout (Oncorhynchus mykiss) and the sensor signal. Furthermore, a clear correspondence was established between signals from the proposed method and the established biomimetic extraction method, demonstrating comparable mechanisms and accuracy. This method presents a new tool for OSPW treatment monitoring toward natural resource reclamation.

ACS ES&T WaterVol. 5(5)
Environment and Climate Change Canada (CA), University of Waterloo (CA), University of Toronto (CA), National Institute for Nanotechnology (CA)
Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 91%
Petroleum Processing and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.