A model to predict threshold concentrations for toxic effects of chlorinated benzenes in sediment
Saved in:
| Title: | A model to predict threshold concentrations for toxic effects of chlorinated benzenes in sediment |
|---|---|
| Authors: | Barber, T. R., Duda, D. J., Fuchsman, P. C. |
| Source: | Environmental Toxicology & Chemistry. Sep1999, Vol. 18 Issue 9, p2100. 0p. |
| Subject Terms: | *Ecological risk assessment, Modeling (Sculpture) |
| Abstract: | A probabilistic model was developed to predict effects threshold concentrations for chlorinated benzenes in sediment. Based on published quantitative structure-activity relationships relating the toxicity of chlorinated benzenes to the degree of chlorination, congeners with the same number of chlorine substitutions were considered toxicologically equivalent. Hexachlorobenzene was excluded from the assessment based on a lack of aquatic toxicity at the water solubility limit. Theequilibrium partitioning approach was applied in a probabilistic analysis to derive predicted effects thresholds (PETs) for each chlorinated benzene group, with model input distributions defined by published log Kow values and aquatic toxicity data (LC50s and acute to chronic ratios) extracted from the published literature. The probabilistic distributions of PETs generally increased with chlorination, with 20th percentile values ranging from 3.2 mg/kg1%OC for chlorobenzene to 67 mg/kg1%OC for tetrachlorobenzene congeners. The toxicity of total chlorinated benzenes in sediment can be assessed by applying the PETs in a toxic index model, based on theassumption that multiple chlorinated benzene congeners will show approximately additive toxicity, as characteristic of nonpolar narcotic toxicants. The 20th percentile PET values are one to two orders of magnitude higher than published screening-level guidelines, suggesting that the screening-level guidelines will provide overly conservative assessments in most cases. Relevant spiked sediment toxicity data arevery limited but seem consistent with the probabilistic model; additional testing could be conducted to confirm the model's predictions. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Toxicology & Chemistry is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: 8gh DbLabel: GreenFILE An: 8284644 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A model to predict threshold concentrations for toxic effects of chlorinated benzenes in sediment – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Barber%2C+T%2E+R%2E%22">Barber, T. R.</searchLink><br /><searchLink fieldCode="AR" term="%22Duda%2C+D%2E+J%2E%22">Duda, D. J.</searchLink><br /><searchLink fieldCode="AR" term="%22Fuchsman%2C+P%2E+C%2E%22">Fuchsman, P. C.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Toxicology+%26+Chemistry%22">Environmental Toxicology & Chemistry</searchLink>. Sep1999, Vol. 18 Issue 9, p2100. 0p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Ecological+risk+assessment%22">Ecological risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Modeling+%28Sculpture%29%22">Modeling (Sculpture)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A probabilistic model was developed to predict effects threshold concentrations for chlorinated benzenes in sediment. Based on published quantitative structure-activity relationships relating the toxicity of chlorinated benzenes to the degree of chlorination, congeners with the same number of chlorine substitutions were considered toxicologically equivalent. Hexachlorobenzene was excluded from the assessment based on a lack of aquatic toxicity at the water solubility limit. Theequilibrium partitioning approach was applied in a probabilistic analysis to derive predicted effects thresholds (PETs) for each chlorinated benzene group, with model input distributions defined by published log Kow values and aquatic toxicity data (LC50s and acute to chronic ratios) extracted from the published literature. The probabilistic distributions of PETs generally increased with chlorination, with 20th percentile values ranging from 3.2 mg/kg1%OC for chlorobenzene to 67 mg/kg1%OC for tetrachlorobenzene congeners. The toxicity of total chlorinated benzenes in sediment can be assessed by applying the PETs in a toxic index model, based on theassumption that multiple chlorinated benzene congeners will show approximately additive toxicity, as characteristic of nonpolar narcotic toxicants. The 20th percentile PET values are one to two orders of magnitude higher than published screening-level guidelines, suggesting that the screening-level guidelines will provide overly conservative assessments in most cases. Relevant spiked sediment toxicity data arevery limited but seem consistent with the probabilistic model; additional testing could be conducted to confirm the model's predictions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Toxicology & Chemistry is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=8284644 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 0 StartPage: 2100 Subjects: – SubjectFull: Ecological risk assessment Type: general – SubjectFull: Modeling (Sculpture) Type: general Titles: – TitleFull: A model to predict threshold concentrations for toxic effects of chlorinated benzenes in sediment Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Barber, T. R. – PersonEntity: Name: NameFull: Duda, D. J. – PersonEntity: Name: NameFull: Fuchsman, P. C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep1999 Type: published Y: 1999 Identifiers: – Type: issn-print Value: 07307268 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: Environmental Toxicology & Chemistry Type: main |
| ResultId | 1 |