Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, 97331, USA.
College of Public Health and Human Services, Oregon State University, Corvallis, OR, 97331, USA.
Mar Pollut Bull. 2019 Aug;145:28-35. doi: 10.1016/j.marpolbul.2019.05.020. Epub 2019 May 17.
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 (C) 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.
美国西北太平洋地区的普吉特海湾的塞利希海上，美洲原住民通过贝类捕捞等传统的维持生计方式，面临着不成比例的环境污染。在这项研究中，在经裁决的部落传统捕鱼区和站点，在 20 个地点同时采集大扇贝（Saxidomus giganteus），并在这些地点部署了沉积物孔隙水被动采样器。对贻贝和被动采样器进行了 62 种单个多环芳烃的分析。建立了一个线性回归模型，以预测贻贝可食用部分中的多环芳烃浓度与孔隙水中的自由溶解部分（C）之间的关系。可以使用以下公式，将孔隙水中的自由溶解多环芳烃浓度的 1.9±0.2 倍作为平均系数，来预测贻贝中的多环芳烃浓度：PAHClam=4.1±0.1×PAHporewater 该模型提供了一种简化、经济高效且低影响的方法来评估大扇贝中的污染物水平，因为大扇贝是一种重要的传统食物。
