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生物浓缩、生物积累、生物放大和营养级放大:一种建模视角。

Bioconcentration, bioaccumulation, biomagnification and trophic magnification: a modelling perspective.

机构信息

Chemical Properties Research Group, Department of Chemistry, Trent University, Peterborough, ON K9L OG2, Canada.

PER Consulting, Midland, MI 48642, USA.

出版信息

Environ Sci Process Impacts. 2018 Jan 24;20(1):72-85. doi: 10.1039/c7em00485k.

DOI:10.1039/c7em00485k
PMID:29260171
Abstract

We present a modelling perspective on quantifying metrics of bio-uptake of organic chemicals in fish. The models can be in concentration, partition ratio, rate constant (CKk) format or fugacity, Z and D value (fZD) format that are shown to be exactly equivalent, each having it merits. For most purposes a simple, parameter-parsimonious one compartment steady-state model containing some 13 parameters is adequate for obtaining an appreciation of the uptake equilibria and kinetics for scientific and regulatory purposes. Such a model is first applied to the bioaccumulation of a series of hypothetical, non-biotransforming chemicals with log K (octanol-water partition ratio) values of 4 to 8 in 10 g fish ranging in lipid contents to deduce wet-weight and lipid normalized concentrations, bioaccumulation and biomagnification factors. The sensitivity of biomagnification factors to relative lipid contents is discussed. Second, a hypothetical 5 species linear food chain is simulated to evaluate trophic magnification factors (TMFs) showing the critical roles of K and biotransformation rate. It is shown that lipid normalization of concentrations is most insightful for less hydrophobic chemicals (log K < 5) when bio-uptake is largely controlled by respiratory intake and equilibrium (equi-fugacity) is approached. For more hydrophobic chemicals when dietary uptake kinetics dominate, wet weight concentrations and BMFs are more insightful. Finally, a preferred strategy is proposed to advance the science of bioaccumulation using a combination of well-designed ecosystem monitoring, laboratory determinations and modelling to confirm that the perceived state of the science contained in the models is consistent with observations.

摘要

我们提出了一种量化鱼类中有机化学物质生物摄取度量的建模视角。这些模型可以采用浓度、分配比、速率常数(CKk)格式或逸度、Z 值和 D 值(fZD)格式,这些格式被证明是完全等效的,每种格式都有其优点。对于大多数目的,一个简单的、参数精简的单室稳态模型,包含约 13 个参数,足以用于科学和监管目的获得对摄取平衡和动力学的了解。该模型首先应用于一系列假设的、非生物转化的化学物质的生物累积,这些化学物质的 log K(辛醇-水分配比)值在 4 到 8 之间,在 10 克鱼类中,其脂质含量范围从湿重和脂质标准化浓度、生物累积和生物放大因子。讨论了生物放大因子对相对脂质含量的敏感性。其次,模拟了一个假设的 5 种线性食物链,以评估营养放大因子(TMFs),显示 K 和生物转化速率的关键作用。结果表明,对于疏水性较小的化学物质(log K < 5),当生物摄取主要由呼吸摄入和平衡(等逸度)控制时,浓度的脂质标准化最具洞察力。对于疏水性较大的化学物质,当饮食摄取动力学占主导地位时,湿重浓度和 BMF 更具洞察力。最后,提出了一种优选策略,通过结合精心设计的生态系统监测、实验室测定和建模,推进生物累积科学,以确认模型中包含的科学状态与观察结果一致。

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