Recommendations for the derivation and use of biota–sediment bioaccumulation models for carcinogenic polycyclic aromatic hydrocarbons

Replinger, Suzanne; Katka, Shannon; Toll, John; Church, Brian G.; Saban, Lisa

doi:10.1002/ieam.1951

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…The majority of the 5% lipid-equivalent invertebrate BCFs and BAFs exceeding the B criteria are for mollusks (e.g., M. edulis, Perna viridis, Xenostrobus securis, Crassostrea gigas) (Baussant et al 2001;Takeuchi et al 2009). This finding is not unexpected given the lower reported biotransformation capacity of this organism class for PAHs when compared to crustaceans and fish (Replinger et al 2017). Further, there appear to be significant differences in biotransformation capacity between closely related species of copepods (e.g., Calanus finmarchicus = 260 L/kg vs Calanus hyperboreus = 2970 L/kg; both 5% lipid-equivalent standardized values) (Jensen et al 2012;Agersted et al 2018).…”

Section: Evidence Integration: Bat Summarymentioning

confidence: 77%

A critical review and weight of evidence approach for assessing the bioaccumulation of phenanthrene in aquatic environments

Armitage

Toose

Camenzuli

et al. 2021

Integr Envir Assess & Manag

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Bioaccumulation (B) assessment is challenging because there are various B‐metrics from laboratory and field studies, multiple criteria and thresholds for classifying bioaccumulative (B), very bioaccumulative (vB), and not bioaccumulative (nB) chemicals, as well as inherent variability and uncertainty in the data. These challenges can be met using a weight of evidence (WoE) approach. The Bioaccumulation Assessment Tool (BAT) provides a transparent WoE assessment framework that follows Organisation for Economic Co‐operation and Development (OECD) principles for performing a WoE analysis. The BAT guides an evaluator through the process of data collection, generation, evaluation, and integration of various lines of evidence (LoE) (i.e., B‐metrics) to inform decision‐making. Phenanthrene (PHE) is a naturally occurring chemical for which extensive B and toxicokinetics data are available. A B assessment for PHE using the BAT is described that includes a critical evaluation of 74 measured in vivo LoE for fish and invertebrate species from laboratory and field studies. The number of LoE are reasonably well balanced across taxa (i.e., fish and invertebrates) and the different B‐metrics. Additionally, in silico and in vitro biotransformation rate estimates and corresponding model‐predicted B‐metrics are included as corroborating evidence. Application of the BAT provides a consistent, coherent, and scientifically defensible WoE evaluation to conclude that PHE is not bioaccumulative (nB) because the overwhelming majority of the bioconcentration, bioaccumulation, and biomagnification metrics for both fish and invertebrates are below regulatory thresholds. An analysis of the relevant data using fugacity ratios is also provided, showing that PHE does not biomagnify in aquatic food webs. The critical review identifies recommendations to increase the consistency of B assessments, such as improved standardization of B testing guidelines, data reporting requirements for invertebrate studies, and consideration of temperature and salinity effects on certain B‐metrics. Integr Environ Assess Manag 2021;17:911–925. © 2021 Concawe. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC)

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Section: Evidence Integration: Bat Summarymentioning

confidence: 77%

A critical review and weight of evidence approach for assessing the bioaccumulation of phenanthrene in aquatic environments

Armitage

Toose

Camenzuli

et al. 2021

Integr Envir Assess & Manag

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“…The highest K p values were estimated as 6.8 for Nap in the Luanhe River and 320 for IcdP in Dalian Bay. Because IcdP (HMW‐PAHs) are persistent in the environment and have a potential for bioaccumulation, they are considered carcinogenic PAHs (Replinger et al, 2017). Spearman's rank correlation was used to investigate the relationships among individual PAHs in different phases in the Luanhe River and in Dalian Bay.…”

Section: Resultsmentioning

confidence: 99%

Polycyclic aromatic hydrocarbons (PAHs) in the Bohai Sea: A review of their distribution, sources, and risks

Qin

Luo

2022

Integr Envir Assess & Manag

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The distribution, risks, and sources of polycyclic aromatic hydrocarbons (PAHs) observed in seawater and sediments in the Bohai Sea were reviewed. The ecological risk of total PAHs in seawater was low, but the ecological risks of several individual PAHs (Pyr, BbF, and IcdP) were high. Detected PAHs in sediments rarely had adverse biological effects. High PAH concentrations were identified in Bohai Bay, in the sea area near Qinhuangdao, in Jinzhou Bay, and in Bohai Strait. Low PAH concentrations were found in the central Bohai, in Laizhou Bay, and in the sea area with more intensive ocean currents near Caofeidian. PAH concentrations in the Bohai Sea present a seaward-decreasing trend. Their spatial distribution could be attributed to the influence of human activities (population, industrial activities, and shipping activities), which determined PAH emissions. The PAHs were characterized by local sources, indicating that coal consumption and vehicle emissions were important sources of PAHs.

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“…This could be attributed to the influence of sorption of PAHs in sediments and their biodegradation in the environment. For PAHs with larger log K ow , they tend to be more readily adsorbed in sediments organic matter by partitioning than the PAHs with smaller log K ow 56 , 57 . Meanwhile, PAHs congeners with relatively low log K ow tend to be more readily degraded than those with relatively high log K ow 58 , 59 , presented by the positively linear relationship of PAHs log K ow with their biodegradation half-life (Fig.…”

Section: Resultsmentioning

confidence: 99%

Predicting the total PAHs concentrations in sediments from selected congeners using a multiple linear relationship

Wang

Yang

et al. 2022

Sci Rep

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In this study, we observed that four congeners, including naphthalene (Nap), acenaphthylene (Acy), phenanthrene (Phe), and benz(a)anthracene (BaA), are the characteristic congeners for predicting the emission and the sediment concentrations of polycyclic aromatic hydrocarbons (PAHs). A novel multiple relationship of the total PAHs concentrations (C∑PAHs) in sediments with the concentrations of four congeners was established (p < 0.01, R2 = 0.95) using published data over the past 30 years. Moreover, the multiple linear relationship of the total PAHs emission factors with the emission factors of four congeners was also established (p < 0.01, R2 = 0.99). Interestingly, the ratio of multicomponents coefficient from the multiple linear relationship in sediments to that from the multiple linear relationship in emission sources correlated positively with octanol–water partition coefficient (logKow) (p < 0.01, R2 = 0.88) of the four PAHs congeners. Therefore, a novel model was established to predict CΣPAHs in sediments using the emissions and logKow of the four characteristic PAHs congeners. The percent sample deviation between calculated C∑PAHs and their observed values was 54%, suggesting the established model can accurately predict CΣPAHs in sediments.

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Recommendations for the derivation and use of biota–sediment bioaccumulation models for carcinogenic polycyclic aromatic hydrocarbons

Cited by 10 publications

References 14 publications

A critical review and weight of evidence approach for assessing the bioaccumulation of phenanthrene in aquatic environments

A critical review and weight of evidence approach for assessing the bioaccumulation of phenanthrene in aquatic environments

Polycyclic aromatic hydrocarbons (PAHs) in the Bohai Sea: A review of their distribution, sources, and risks

Predicting the total PAHs concentrations in sediments from selected congeners using a multiple linear relationship

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