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DOI | 10.1016/j.marpolbul.2019.05.020 |
A passive sampling model to predict PAHs in butter clams (Saxidomus giganteus); a traditional food source for Native American tribes of the Salish Sea Region | |
Minick D.J.; Paulik L.B.; Smith B.W.; Scott R.P.; Kile M.L.; Rohlman D.; Anderson K.A. | |
发表日期 | 2019 |
ISSN | 0025326X |
起始页码 | 28 |
结束页码 | 35 |
卷号 | 145 |
英文摘要 | Native Americans face disproportionate exposures to environmental pollution through traditional subsistence practices including shellfish harvesting. In this study, the collection of butter clams (Saxidomus giganteus) was spatially and temporally paired with deployment of sediment pore water passive samplers at 20 locations in the Puget Sound region of the Salish Sea in the Pacific Northwest, USA, within adjudicated usual and accustomed tribal fishing grounds and stations. Clams and passive samplers were analyzed for 62 individual PAHs. A linear regression model was constructed to predict PAH concentrations in the edible fraction of butter clams from the freely dissolved fraction (Cfree) in porewater. PAH concentrations can be predicted within a factor of 1.9 ± 0.2 on average from the freely dissolved PAH concentration in porewater using the following equation: PAHClam=4.1±0.1×PAHporewater This model offers a simplified, cost effective, and low impact approach to assess contaminant levels in butter clams which are an important traditional food. © 2019 |
英文关键词 | Clams; Native Americans; PAHs; Passive sampling; Predictive models; Sediment |
语种 | 英语 |
scopus关键词 | Cost effectiveness; Molluscs; Polycyclic aromatic hydrocarbons; Regression analysis; Sediments; Shellfish; Clams; Environmental pollutions; Linear regression models; Native American Tribes; Native Americans; Passive sampling; Predictive models; Sediment pore water; Chemical contamination; polycyclic aromatic hydrocarbon; polycyclic aromatic hydrocarbon; bivalve; concentration (composition); environmental assessment; food safety; indigenous population; marine pollution; marine sediment; PAH; prediction; regression analysis; sampling; spatiotemporal analysis; American Indian; animal experiment; animal tissue; Article; bioaccumulation; cancer risk; carcinogenicity; chemical analysis; clam; concentration (parameter); cost effectiveness analysis; environmental exposure; food analysis; food contamination; food quality; health hazard; linear regression analysis; model; nonhuman; pollution monitoring; prediction; risk assessment; Saxidomus giganteus; shellfish; Washington; water analysis; water contamination; water sampling; American Indian; animal; bivalve; chemistry; drug effect; environmental monitoring; food contamination; growth, development and aging; human; pharmacology; product safety; water pollutant; Pacific Ocean; Puget Sound; Salish Sea; United States; Washington [United States]; Bivalvia; Saxidomus giganteus; Animals; Bivalvia; Consumer Product Safety; Environmental Monitoring; Food Contamination; Humans; Indians, North American; Polycyclic Aromatic Hydrocarbons; Shellfish; Water Pollutants, Chemical |
来源期刊 | Marine Pollution Bulletin
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/149830 |
作者单位 | Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, United States; College of Public Health and Human Services, Oregon State University, Corvallis, OR 97331, United States |
推荐引用方式 GB/T 7714 | Minick D.J.,Paulik L.B.,Smith B.W.,et al. A passive sampling model to predict PAHs in butter clams (Saxidomus giganteus); a traditional food source for Native American tribes of the Salish Sea Region[J],2019,145. |
APA | Minick D.J..,Paulik L.B..,Smith B.W..,Scott R.P..,Kile M.L..,...&Anderson K.A..(2019).A passive sampling model to predict PAHs in butter clams (Saxidomus giganteus); a traditional food source for Native American tribes of the Salish Sea Region.Marine Pollution Bulletin,145. |
MLA | Minick D.J.,et al."A passive sampling model to predict PAHs in butter clams (Saxidomus giganteus); a traditional food source for Native American tribes of the Salish Sea Region".Marine Pollution Bulletin 145(2019). |
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