Comparisons of PNEC derivation logic flows under example regulatory schemes and implications for ecoTTC

Belanger, Scott E.; Beasley, Amy; Brill, Jessica L.; Krailler, Jesse M.; Connors, Kristin A.; Carr, Gregory J.; Embry, Michelle R.; Barron, Mace G.; Otter, Ryan R.; Kienzler, Aude

doi:10.1016/j.yrtph.2021.104933

Cited by 17 publications

(5 citation statements)

References 31 publications

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“…For example, the lowest available EC10 of 0.032 mg/L for impairment of Daphnia reproduction would yield a PNEC of 0.0032 mg/L if an AF of 10 is applied. Such an AF is appropriate when three chronic tests are available for algae, invertebrates, and fish, as in most PNEC derivation scenarios used internationally, including in the United States and Europe (Belanger et al, 2021). This contrasts with the SSD HC5 of 0.0498 mg/L.…”

Section: Discussionmentioning

confidence: 99%

A Chronic Aquatic Hazard Assessment for the Perfume Raw Material Octahydro‐tetramethyl‐naphthalenyl‐ethanone

Lapczynski,

Belanger,

Connors

et al. 2024

Enviro Toxic and Chemistry

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Octahydro‐tetramethyl‐naphthalenyl‐ethanone (OTNE) is a high–production volume fragrance material used in various down‐the‐drain consumer products. To assess aquatic risk, the Research Institute for Fragrance Materials (RIFM) uses a tiered data‐driven framework to determine a risk characterization ratio, where the ratio of the predicted‐environmental concentration to the predicted‐no‐effect concentration (PNEC) of <1 indicates an acceptable level of risk. Owing to its high production volume and the conservative nature of the RIFM framework, RIFM identified the need to utilize a species sensitivity distribution (SSD) approach to reduce the PNEC uncertainty for OTNE. Adding to the existing Daphnia magna, Danio rerio, and Desmodesmus subspicatus chronic studies, eight new chronic toxicity studies were conducted on the following species: Navicula pelliculosa, Chironomus riparius, Lemna gibba, Ceriodaphnia dubia, Hyalella azteca, Pimephales promelas, Anabaena flos‐aquae, and Daphnia pulex. All toxicity data were summarized as chronic 10% effect concentration estimates using the most sensitive biological response. Daphnia magna was the most sensitive (0.032 mg/L), and D. subspicatus was the least sensitive (>2.6 mg/L, the OTNE solubility limit). The 5th percentile hazardous concentration (HC5) derived from the cumulative probability distribution of the chronic toxicity values for the 11 species was determined to be 0.0498 mg/L (95% confidence interval 0.0097–0.1159 mg/L). A series of “leave‐one‐out” and “add‐one‐in” simulations indicated the SSD was stable and robust. Add‐one‐in simulations determined that the probability of finding a species sensitive enough to lower the HC5 two‐ or threefold was 1/504 and 1/15,300, respectively. Given the high statistical confidence in this robust SSD, an additional application factor protection is likely not necessary. Nevertheless, to further ensure the protection of the environment, an application factor of 2 to the HC5, resulting in a PNEC of 0.0249 mg/L, is recommended. When combined with environmental exposure information, the overall hazard assessment is suitable for a probabilistic environmental risk assessment. Environ Toxicol Chem 2024;00:1–12. © 2024 SETAC

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Section: Discussionmentioning

confidence: 99%

A Chronic Aquatic Hazard Assessment for the Perfume Raw Material Octahydro‐tetramethyl‐naphthalenyl‐ethanone

Lapczynski,

Belanger,

Connors

et al. 2024

Enviro Toxic and Chemistry

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“…In our study, we applied these two approaches but proposed a modi cation of the second and considered the seasonal aspect and speci cs of different matrices in aquatic ecosystems. We used data for the most frequently used endpoint in environmental risk assessment -PNEC (predicted non-effect concentration -the concentration of a chemical that marks the limit at which no adverse effects of exposure in an ecosystem are measured) [27]. The data for PNEC are the most accessible ecotoxicological data; there is a speci cation for the various study Em -the median effect concentration, also in µg/L; PNEC -predicted non-effect concentration, also in µg/L.…”

Section: Risk Ranking Methodsmentioning

confidence: 99%

Ranking of potentially toxic pollutants and their impact on microbial communities in water bodies receiving wastewater discharges

Yordanova,

Todorova,

Kirilova-Belouhova

et al. 2023

Preprint

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The contribution of urban sewage treatment plants to pollution with emerging contaminants is still underestimated and discharge zones are not always subject to adequate monitoring activities. In this study, we apply the combination of risk level ranking of a specific class of pollutants (potentially toxic elements) and assessment of the metabolic activity of sediment microbial communities. The ranking approach identifies the most harmful toxic elements in the local environment of the upper sub-catchment of the Iskar River, Bulgaria. The effect on microbial communities was assessed by the determination of the share of viable cells and the inhibition of their metabolic activity (fluorescent staining method with digital image analysis). The data showed that Hg and Cu came at the top of the list of concerns for the matrix of surface waters; Cu, Cd, and Pb pose the greatest risk in sediments. The microbial communities in the wastewater discharge area were affected by pollutants and by the high nutrients and organic content of the effluent. The applied approach has the potential to help us focus the future site-specific monitoring for pollution control in water bodies, receiving wastewater discharges, and contributes to a better understanding of the potential ecological risks from hazardous pollutants.

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“…For RQ determinations, an assessment factor of 1000 was selected to address the differences between laboratory data and natural conditions to account for interspecies differences and intraspecies differences. Thus, the RQ = (MEC)/(PNEC, NOEC,LC50 or EC50) x 1000 (Chapman et al, 2009;Dussault et al, 2008;Means et al, 1993;Environment Canada, 2013;Belanger et al, 2021). Toxicity reference values were obtained from the published literature (Tables 1 and 2, Supplemental Table 5).…”

Section: Risk Assessment Methodsmentioning

confidence: 99%

Beach showers as sources of contamination for sunscreen pollution in marine protected areas and areas of intensive beach tourism in Hawaii, USA

Downs¹,

Díaz˗Cruz

White³

et al. 2022

Journal of Hazardous Materials

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Comparisons of PNEC derivation logic flows under example regulatory schemes and implications for ecoTTC

Cited by 17 publications

References 31 publications

A Chronic Aquatic Hazard Assessment for the Perfume Raw Material Octahydro‐tetramethyl‐naphthalenyl‐ethanone

A Chronic Aquatic Hazard Assessment for the Perfume Raw Material Octahydro‐tetramethyl‐naphthalenyl‐ethanone

Ranking of potentially toxic pollutants and their impact on microbial communities in water bodies receiving wastewater discharges

Beach showers as sources of contamination for sunscreen pollution in marine protected areas and areas of intensive beach tourism in Hawaii, USA

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