Evaluating persistence of petroleum hydrocarbons in aerobic aqueous media

Prosser, Christopher M.; Redman, Aaron D.; Prince, Roger C.; Paumen, Miriam Leόn; Letinski, Daniel J.; Butler, Josh D.

doi:10.1016/j.chemosphere.2016.04.089

Cited by 32 publications

(33 citation statements)

References 18 publications

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“…As a result, the decreased half-life of the total PHCs was comparable with previous measurements of 14 days for chemically dispersed oil in surface water (Prince and Butler, 2014) as well as degradation rates measured in simulated oil plumes (Hazen et al, 2010a; Prince et al, 2013; Wang et al, 2016). In addition, our results are in agreement with model predicted half-lives (Prosser et al, 2016). The effectiveness of the dispersant was more pronounced on recalcitrant compounds, possibly due to their low solubility, as these compounds were likely to remain with droplets.…”

Section: Discussionsupporting

confidence: 91%

Dispersant Enhances Hydrocarbon Degradation and Alters the Structure of Metabolically Active Microbial Communities in Shallow Seawater From the Northeastern Gulf of Mexico

et al. 2019

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Dispersant application is a primary emergency oil spill response strategy and yet the efficacy and unintended consequences of this approach in marine ecosystems remain controversial. To address these uncertainties, ex situ incubations were conducted to quantify the impact of dispersant on petroleum hydrocarbon (PHC) biodegradation rates and microbial community structure at as close as realistically possible to approximated in situ conditions [2 ppm v/v oil with or without dispersant, at a dispersant to oil ratio (DOR) of 1:15] in surface seawater. Biodegradation rates were not substantially affected by dispersant application at low mixing conditions, while under completely dispersed conditions, biodegradation was substantially enhanced, decreasing the overall half-life of total PHC compounds from 15.4 to 8.8 days. While microbial respiration and growth were not substantially altered by dispersant treatment, RNA analysis revealed that dispersant application resulted in pronounced changes to the composition of metabolically active microbial communities, and the abundance of nitrogen-fixing prokaryotes, as determined by qPCR of nitrogenase (nifH) genes, showed a large increase. While the Gammaproteobacteria were enriched in all treatments, the Betaproteobacteria and different families of Alphaproteobacteria predominated in the oil and dispersant treatment, respectively. Results show that mixing conditions regulate the efficacy of dispersant application in an oil slick, and the quantitative increase in the nitrogen-fixing microbial community indicates a selection pressure for nitrogen fixation in response to a readily biodegradable, nitrogen-poor substrate.

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Section: Discussionsupporting

confidence: 91%

Dispersant Enhances Hydrocarbon Degradation and Alters the Structure of Metabolically Active Microbial Communities in Shallow Seawater From the Northeastern Gulf of Mexico

et al. 2019

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“…Furthermore, application of this model yielded a predicted LL50 for Alaskan North Slope crude oil of 2.5 mg/L, that is, the oil loading that corresponds to P (toxic units) 2dGC ¼ 1. This loading is an order of magnitude lower than the empirical CEWAF LL50 of 31 mg/L obtained in the present study and is consistent with another recent study that concluded PETROTOX yields conservative predictions when assessing the toxicity of petroleum substances to fish (Prosser et al 2016).…”

Section: Discussionsupporting

confidence: 93%

The sensitivity of a deep‐sea fish species (Anoplopoma fimbria) to oil‐associated aromatic compounds, dispersant, and Alaskan North Slope crude oil

McConville

Roberts

Boulais

et al. 2018

Enviro Toxic and Chemistry

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A predominant concern following oil spills is toxicity to aquatic organisms. However, few data are available on effects in deep-sea cold water fishes. The present study had 3 major objectives. The first was to investigate the relative sensitivity of the deep-sea species Anoplopoma fimbria (sablefish) to acute effects of 3 aromatic compounds (toluene, 2-methylnaphthalene, and phenanthrene), dispersant alone, and chemically enhanced water accommodated fractions (CEWAFs) of Alaskan North Slope crude oil. The second was to determine the critical target lipid body burden (CTLBB) for sablefish by fitting aromatic hydrocarbon toxicity data to the target lipid model (TLM), which then allowed expression of CEWAF exposures in terms of dissolved oil toxic units. The final aim was to apply a passive sampling method that targets bioavailable, dissolved hydrocarbons as an alternative analytical technique for improved CEWAF exposure assessment. The results indicate that sablefish exhibit sensitivity to Corexit 9500 (96-h median lethal concentration [LC50] = 72.2 mg/L) within the range reported for other fish species. However, the acute CTLBB of 39.4 ± 2.1 μmol/g lies at the lower end of the sensitivity range established for aquatic species. The utility of both toxic units and passive sampling measurements for describing observed toxicity of dispersed oil is discussed. The present study is novel in that a new test species is investigated to address the uncertainty regarding the sensitivity of deep-sea fishes, while also employing modeling and measurements to improve exposure characterization in oil toxicity tests. Environ Toxicol Chem 2018;37:2210-2221. © 2018 SETAC.

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“…No systematic bias was observed in the predicted DT50 values as a function of test system parameters, hydrocarbon classes, or carbon number (Figure 3). In a similar analysis by Prosser et al (2016) the authors observed clear systematic bias in BioHCWin t h predictions as a function of carbon number, with significant overpredictions at higher carbon numbers across multiple classes, and the most pronounced bias in the normal and iso-paraffin classes. The authors also reported significant systematic predictive bias across several hydrocarbon classes, specifically naphthenic hydrocarbons (mononaphthenics (MN), dinaphthenics (DN), and PN), for which experimental DT50 data are limited.…”

Section: System Parameters and Residual Analysesmentioning

confidence: 66%

Predicting Primary Biodegradation of Petroleum Hydrocarbons in Aquatic Systems: Integrating System and Molecular Structure Parameters using a Novel Machine‐Learning Framework

Davis

Camenzuli²,

Redman

2022

Enviro Toxic and Chemistry

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Quantitative structure-property relationship (QSPR) models for predicting primary biodegradation of petroleum hydrocarbons have been previously developed. These models use experimental data generated under widely varied conditions, the effects of which are not captured adequately within model formalisms. As a result, they exhibit variable predictive performance and are unable to incorporate the role of study design and test conditions on the assessment of environmental persistence. To address these limitations, a novel machine-learning System-Integrated Model (HC-BioSIM) is presented, which integrates chemical structure and test system variability, leading to improved prediction of primary disappearance time (DT50) values for petroleum hydrocarbons in fresh and marine water. An expanded, highly curated database of 728 experimental DT50 values (181 unique hydrocarbon structures compiled from 13 primary sources) was used to develop and validate a supervised model tree machine-learning model. Using relatively few parameters (6 system and 25 structural parameters), the model demonstrated significant improvement in predictive performance (root mean square error = 0.26, R 2 = 0.67) over existing QSPR models. The model also demonstrated improved accuracy of persistence (P) categorization (i.e., "Not P/P/vP"), with an accuracy of 96.8%, and false-positive and -negative categorization rates of 0.4% and 2.7%, respectively. This significant improvement in DT50 prediction, and subsequent persistence categorization, validates the need for models that integrate experimental design and environmental system parameters into biodegradation and persistence assessment.

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Evaluating persistence of petroleum hydrocarbons in aerobic aqueous media

Cited by 32 publications

References 18 publications

Dispersant Enhances Hydrocarbon Degradation and Alters the Structure of Metabolically Active Microbial Communities in Shallow Seawater From the Northeastern Gulf of Mexico

Dispersant Enhances Hydrocarbon Degradation and Alters the Structure of Metabolically Active Microbial Communities in Shallow Seawater From the Northeastern Gulf of Mexico

The sensitivity of a deep‐sea fish species (Anoplopoma fimbria) to oil‐associated aromatic compounds, dispersant, and Alaskan North Slope crude oil

Predicting Primary Biodegradation of Petroleum Hydrocarbons in Aquatic Systems: Integrating System and Molecular Structure Parameters using a Novel Machine‐Learning Framework

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