Department of Chemistry, University of Toronto Scarborough, Toronto, Ontario, Canada.
Department of Physical and Environmental Science, University of Toronto Scarborough, Toronto, Ontario, Canada.
Environ Toxicol Chem. 2019 Apr;38(4):831-840. doi: 10.1002/etc.4368. Epub 2019 Mar 7.
Because dietary consumption of fish is often a major vector of human exposure to persistent organic pollutants (POPs), much effort is directed toward a quantitative understanding of fish bioaccumulation using mechanistic models. However, many such models fail to explicitly consider how uptake and loss rate constants relate to fish physiology. We calculated the bioaccumulation factors (BAFs) of hypothetical POPs, with octanol-water partition coefficients ranging from 10 to 10 , in lake trout (Salvelinus namaycush) with a food-web bioaccumulation model that uses bioenergetics to ensure that physiological parameters applied to a species are internally consistent. We modeled fish in 6 Canadian lakes (Great Slave Lake, Lake Ontario, Source Lake, Happy Isle Lake, Lake Opeongo, and Lake Memphremagog) to identify the factors that cause the BAFs of differently sized lake trout to vary between and within lakes. When comparing differently sized lake trout within a lake, larger fish tend to have the highest BAF because they allocate less energy toward growth than smaller fish and have higher activity levels. When comparing fish from different lakes, the model finds that diet composition and prey energy density become important in determining the BAF, in addition to activity and the amount of total energy allocated to growth. Environ Toxicol Chem 2019;38:831-840. © 2019 SETAC.
由于鱼类的饮食摄入通常是人类接触持久性有机污染物(POPs)的主要途径,因此人们投入了大量精力,使用基于机制的模型来定量了解鱼类的生物积累。然而,许多此类模型未能明确考虑到吸收和损失率常数与鱼类生理学之间的关系。我们使用一种基于生物能量学的食物网生物累积模型,计算了假想持久性有机污染物(辛醇-水分配系数范围为 10 到 10 )在湖鳟鱼(Salvelinus namaycush)中的生物累积因子(BAF),以确保应用于某一物种的生理参数在内部保持一致。我们对加拿大的 6 个湖泊(大奴湖、安大略湖、源头湖、快乐岛湖、奥彭戈湖和马普雷姆戈格湖)中的鱼类进行建模,以确定导致不同大小的湖鳟鱼的 BAF 在湖泊之间和湖泊内部发生变化的因素。在比较同一湖泊中不同大小的湖鳟鱼时,较大的鱼往往具有最高的 BAF,因为它们比小鱼分配更少的能量用于生长,并且具有更高的活动水平。在比较来自不同湖泊的鱼类时,该模型发现,除了活动和分配给生长的总能量量之外,饮食组成和猎物能量密度在确定 BAF 方面变得很重要。Environ Toxicol Chem 2019;38:831-840. © 2019 SETAC.