Di Toro D M, Allen H E, Bergman H L, Meyer J S, Paquin P R, Santore R C
HydroQual, Mahwah, New Jersey 07431, USA.
Environ Toxicol Chem. 2001 Oct;20(10):2383-96.
The biotic ligand model (BLM) of acute metal toxicity to aquatic organisms is based on the idea that mortality occurs when the metal-biotic ligand complex reaches a critical concentration. For fish, the biotic ligand is either known or suspected to be the sodium or calcium channel proteins in the gill surface that regulate the ionic composition of the blood. For other organisms, it is hypothesized that a biotic ligand exists and that mortality can be modeled in a similar way. The biotic ligand interacts with the metal cations in solution. The amount of metal that binds is determined by a competition for metal ions between the biotic ligand and the other aqueous ligands, particularly dissolved organic matter (DOM), and the competition for the biotic ligand between the toxic metal ion and the other metal cations in solution, for example, calcium. The model is a generalization of the free ion activity model that relates toxicity to the concentration of the divalent metal cation. The difference is the presence of competitive binding at the biotic ligand, which models the protective effects of other metal cations, and the direct influence of pH. The model is implemented using the Windermere humic aqueous model (WHAM) model of metal-DOM complexation. It is applied to copper and silver using gill complexation constants reported by R. Playle and coworkers. Initial application is made to the fathead minnow data set reported by R. Erickson and a water effects ratio data set by J. Diamond. The use of the BLM for determining total maximum daily loadings (TMDLs) and for regional risk assessments is discussed within a probabilistic framework. At first glance, it appears that a large amount of data are required for a successful application. However, the use of lognormal probability distributions reduces the required data to a manageable amount.
急性金属对水生生物毒性的生物配体模型(BLM)基于这样一种观点:当金属 - 生物配体复合物达到临界浓度时,生物体会死亡。对于鱼类,已知或怀疑生物配体是鳃表面调节血液离子组成的钠或钙通道蛋白。对于其他生物,据推测存在生物配体,并且可以用类似的方式对死亡率进行建模。生物配体与溶液中的金属阳离子相互作用。结合的金属量由生物配体与其他水性配体(特别是溶解有机物(DOM))之间对金属离子的竞争,以及有毒金属离子与溶液中其他金属阳离子(例如钙)之间对生物配体的竞争所决定。该模型是将毒性与二价金属阳离子浓度相关联的自由离子活性模型的推广。不同之处在于生物配体处存在竞争性结合,这模拟了其他金属阳离子的保护作用以及pH的直接影响。该模型使用金属 - DOM络合的温德米尔腐殖质水模型(WHAM)来实现。它使用R. Playle及其同事报告的鳃络合常数应用于铜和银。最初应用于R. Erickson报告的黑头呆鱼数据集和J. Diamond的水效应比数据集。在概率框架内讨论了使用BLM来确定总最大日负荷量(TMDL)和进行区域风险评估。乍一看,似乎成功应用需要大量数据。然而,使用对数正态概率分布将所需数据减少到可管理的数量。