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1.
Chemosphere ; 226: 472-482, 2019 Jul.
Article in English | MEDLINE | ID: mdl-30951942

ABSTRACT

Fish bioconcentration factors (BCFs) are often used to assess substance-specific bioaccumulation. However, reliable BCF data are limited given the practical challenges of conducting such tests. The objectives of this paper are to describe nine rainbow trout studies performed in our lab using tailored dosing and test designs for obtaining empirical BCFs for 21 test substances; gain insights into the structural features and processes determining the magnitude and uncertainty in observed BCFs; and assess performance of six quantitative structure property relationships (QSPRs) for correctly categorizing bioaccumulation given current regulatory triggers. Resulting mean steady-state BCFs, adjusted to a 5% lipid content, ranged from 12 Lkg-1 for isodecanol to 15,448 Lkg-1 for hexachlorobenzene which served as a positive control. BCFs for hydrocarbons depended on aromatic and saturated ring configurations and position. Uptake clearances appeared to be modulated by gill metabolism and substance bioavailability, while elimination rates were likely influenced by somatic biotransformation. Current approaches for quantifying uncertainty in experimental BCFs, which take into account only variability in measured fish concentrations, were found to underestimate the true uncertainty in this endpoint with important implications for decision-making. The Vega (KNN/Read-Across) QSPR and Arnot-Gobas model yielded the best model performance when compared to measured BCFs generated in this study.


Subject(s)
Biotransformation/physiology , Hydrocarbons/analysis , Hydrocarbons/metabolism , Oncorhynchus mykiss/metabolism , Petroleum/analysis , Petroleum/metabolism , Water Pollutants, Chemical/analysis , Animals , Hexachlorobenzene/metabolism , Kinetics , Models, Theoretical , Quantitative Structure-Activity Relationship , Uncertainty
2.
Chemosphere ; 199: 585-594, 2018 May.
Article in English | MEDLINE | ID: mdl-29455127

ABSTRACT

Solid-phase microextraction fibers coated with polydimethylsiloxane (PDMS) provide a convenient passive sampling format to characterize bioavailability of petroleum substances. Hydrocarbons absorb onto PDMS in proportion to both freely dissolved concentrations and partitioning properties of the individual constituents, which parallels the mechanistic basis used to predict aquatic toxicity in the PETROTOX model. When deployed in a non-depletive manner, combining SPME with thermal desorption and quantification using gas chromatography-flame ionization creates a biomimetic extraction (BE) procedure that has the potential to simplify aquatic hazard assessments of petroleum substances since the total moles of all hydrocarbons sorbed to the fiber can be related to toxic thresholds in target lipid of aquatic organisms. The objective of this work is to describe the technical basis for applying BE measurements to predict toxicity of petroleum substances. Critical BE-based PDMS concentrations corresponding to adverse effects were empirically derived from toxicity tests on different petroleum substances with multiple test species. The resulting species sensitivity distribution (SSD) of PDMS effect concentrations was then compared and found consistent with the previously reported target lipid-based SSD. Further, BE data collected on samples of aqueous media dosed with a wide range of petroleum substances were highly correlated to predicted toxic units derived using the PETROTOX model. These findings provide justification for applying BE in environmental hazard and risk evaluations of petroleum substances and related mixtures.


Subject(s)
Biomimetics/methods , Petroleum/toxicity , Solid Phase Microextraction/methods , Biological Availability , Chromatography, Gas , Dimethylpolysiloxanes/chemistry , Hydrocarbons/chemistry , Hydrocarbons/isolation & purification , Petroleum/analysis , Water Pollutants/toxicity , Water Pollutants, Chemical/analysis , Water Pollutants, Chemical/toxicity
3.
Sci Total Environ ; 407(16): 4605-9, 2009 Aug 01.
Article in English | MEDLINE | ID: mdl-19447472

ABSTRACT

The aim of the present study was to elucidate consistent patterns in chronic polycyclic aromatic compound (PAC) toxicity to soil and sediment inhabiting invertebrates. Therefore we examined our experimental dataset, consisting of twenty-one chronic effect concentrations for two soil invertebrates (Folsomia candida and Enchytraeus cripticus) and two sediment invertebrates (Lumbriculus variegatus and Chironomus riparius) exposed to six PACs (two homocyclic isomers, anthracene and phenanthrene; two azaarene isomers: acridine and phenanthridine; and two azaarene transformation products, acridone and phenanthridone). In order to determine if effect concentrations were accurately predicted by existing toxicity-K(ow) relationships describing narcosis, chronic pore water effect concentrations were plotted jointly against logK(ow). Fifteen of the twenty-one effect concentrations (71%) were above the lower limit for narcosis, showing that narcosis was the main mode of action for the majority of the tested homo- and heterocyclic PACs during chronic exposure. Toxicity of all tested compounds to soil organisms was accurately described by the toxicity-K(ow) relationship. However, for the sediment invertebrates exposed to some of the tested heterocyclic PACs deviations from narcosis were identified, related to specific physicochemical properties of the test compounds and/or species specific sensitivities. It is concluded that existing toxicity-K(ow) relationships describing narcosis in some cases underestimate chronic PAC toxicity to sediment inhabiting invertebrates.


Subject(s)
Heterocyclic Compounds/toxicity , Invertebrates/drug effects , Polycyclic Aromatic Hydrocarbons/toxicity , Soil Pollutants/toxicity , Animals , Geologic Sediments/chemistry , Heterocyclic Compounds/chemistry , Lethal Dose 50 , Molecular Structure , Polycyclic Aromatic Hydrocarbons/chemistry , Predictive Value of Tests , Soil Pollutants/chemistry , Structure-Activity Relationship , Toxicity Tests, Chronic
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