Bridging the lab to field divide: Advancing oil spill biological effects models requires revisiting aquatic toxicity testing

French-McCay, Deborah; Parkerton, Thomas F.; Jourdan, Benjamin de

doi:10.1016/j.aquatox.2022.106389

Cited by 11 publications

(3 citation statements)

References 169 publications

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“…Oil spills create a layer on the surface of seawater, impeding gas exchange between air and seawater. This interference leads to hypoxia and the death of marine organisms, weakening the self-purification ability of the ocean [3,4]. Petroleum pollutants, characterized by petroleum hydrocarbons, toluene, and other hazardous components [5], directly harm the quality of water and infiltrate the terrestrial food chain via the enrichment of aquatic organisms.…”

Section: Introductionmentioning

confidence: 99%

Rapid Investigation of Oil Pollution in Water-Combined Induced Fluorescence and Random Sample Consensus Algorithm

Wu,

Wang,

Zhao

2024

Sustainability

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The global issue of oil spreading in water poses a significant environmental challenge, emphasizing the critical need for the accurate determination and monitoring of oil content in aquatic environments to ensure sustainable development of the environment. However, the complexity arises from challenges such as oil dispersion, clustering, and non-uniform distribution, making it difficult to obtain real-time oil concentration data. This paper introduces a sophisticated system for acquiring induced fluorescence spectra specifically designed for the quantitative analysis of oil pollutants. The paper involved measuring the fluorescence spectra across 20 concentration gradients (ranging from 0 to 1000 mg/L) for four distinct oil samples: 92# Gasoline, Mobil Motor Oil 20w-40, Shell 10w-40 engine oil, and Soybean Oil. The research focused on establishing a relationship model between relative fluorescence intensity and concentration, determined at the optimal excitation wavelength, utilizing the segmented Random Sample Consensus (RANSAC) algorithm. Evaluation metrics, including standard addition recovery, average recovery, relative error, and average relative error, were employed to assess the accuracy of the proposed model. The experimental findings suggest that the average recovery rates for the four samples ranged between 99.61% and 101.15%, with the average relative errors falling within the range of 2.04% to 3.14%. These results underscore the accuracy and efficacy of the detection methodology presented in this paper. Importantly, this accuracy extends to scenarios involving heavier oil pollution. This paper exhibits exceptional sensitivity, enabling precise detection of diverse oil spills within the concentration range of 0~1000 mg/L in water bodies, offering valuable insights for water quality monitoring and sustainable development of the environment.

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Section: Introductionmentioning

confidence: 99%

Rapid Investigation of Oil Pollution in Water-Combined Induced Fluorescence and Random Sample Consensus Algorithm

Wu,

Wang,

Zhao

2024

Sustainability

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“…Specifically, the aim of the present study was to determine the effect of environmentally relevant temperature variations on sublethal (immobilization) and lethal toxicity thresholds of PACs to larvae of a commercially, ecologically, and culturally important species, the American lobster ( Homarus americanus ). Data in the literature remains unclear as to whether temperature has an impact on PAC toxicity (French‐McCay et al, 2023), either through increased uptake or increased biotransformation. To address this data gap, six PACs were chosen for our study which represent a wide range of chemical classes present in crude oil (i.e., polycyclic aromatic hydrocarbons [PAHs], alkylated PAHs, heterocyclic PAHs, and oxidized hydrocarbons), all with the potential to dissolve in the water column (i.e., log K OW values of 3–5.5).…”

Section: Introductionmentioning

confidence: 99%

“…The toxicity of these photo‐oxidized hydrocarbons generated in an oil spill scenario is not well understood and further study is therefore warranted. Adding further complexity is the fact that multiple environmental factors can influence the toxicity of PACs and their mixtures, including pH, salinity, light, and temperature (reviewed in French‐McCay et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Changes in Temperature Alter the Toxicity of Polycyclic Aromatic Compounds to American Lobster (Homarus americanus) Larvae

Philibert

Marteinson

Jourdan

2023

Enviro Toxic and Chemistry

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Polycyclic aromatic compounds (PACs) present in the water column are considered to be one of the primary contaminant groups contributing to the toxicity of a crude oil spill. Because crude oil is a complex mixture composed of thousands of different compounds, oil spill models rely on quantitative structure–activity relationships like the target lipid model to predict the effects of crude oil exposure on aquatic life. These models rely on input provided by single species toxicity studies, which remain insufficient. Although the toxicity of select PACs has been well studied, there is little data available for many, including transformation products such as oxidized hydrocarbons. In addition, the effect of environmental influencing factors such as temperature on PAC toxicity is a wide data gap. In response to these needs, in the present study, Stage I lobster larvae were exposed to six different understudied PACs (naphthalene, fluorenone, methylnaphthalene, phenanthrene, dibenzothiophene, and fluoranthene) at three different relevant temperatures (10, 15, and 20 °C) all within the biological norms for the species during summer when larval releases occur. Lobster larvae were assessed for immobilization as a sublethal effect and mortality following 3, 6, 12, 24, and 48 h of exposure. Higher temperatures increased the rate at which immobilization and mortality were observed for each of the compounds tested and also altered the predicted critical target lipid body burden, incipient median lethal concentration, and elimination rate. Our results demonstrate that temperature has an important influence on PAC toxicity for this species and provides critical data for oil spill modeling. More studies are needed so oil spill models can be appropriately calibrated and to improve their predictive ability. Environ Toxicol Chem 2023;00:1–11. © 2023 SETAC

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Recommendations for advancing test protocols examining the photo-induced toxicity of petroleum and polycyclic aromatic compounds

et al. 2023

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Bridging the lab to field divide: Advancing oil spill biological effects models requires revisiting aquatic toxicity testing

Cited by 11 publications

References 169 publications

Rapid Investigation of Oil Pollution in Water-Combined Induced Fluorescence and Random Sample Consensus Algorithm

Rapid Investigation of Oil Pollution in Water-Combined Induced Fluorescence and Random Sample Consensus Algorithm

Changes in Temperature Alter the Toxicity of Polycyclic Aromatic Compounds to American Lobster (Homarus americanus) Larvae

Recommendations for advancing test protocols examining the photo-induced toxicity of petroleum and polycyclic aromatic compounds

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