The sorptive capacity of animal protein
The sorptive capacity of animal protein
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DOI：
10.1897/07-016r.1
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发表时间：
2007-09-01
影响因子：
4.1
通讯作者：
Gobas, Frank A. Pc.
中科院分区：
文献类型：
--
作者：
Debruyn, Adrian M. H.;Gobas, Frank A. Pc.
用来预测生物群中疏水性有机化学品浓度的分配系数(例如，生物浓缩系数)通常假定生物体或组织的吸附能力充分地由其脂质含量来表示。然而，在瘦的生物体和组织中，理论表明，分配可能受到非脂类物质的吸附能力的强烈影响。比如蛋白质。人们对蛋白质对疏水性有机化学品的吸附能力知之甚少，也不存在将蛋白质纳入生物累积模型的方法。这里。我们对已发表的数据进行汇编和荟萃分析，以估计动物蛋白质和脂肪对中性有机化学品的相对吸附能力。我们发现，对于对数正辛醇/水分配系数(K-OW)大于2的化合物，蛋白质在固体动物组织中的估计吸附能力约为脂肪的1%至10%。血液蛋白(白蛋白)的吸附能力似乎大大高于这一点，特别是对低K-OW化学物质。出于建模的目的，我们建议将动物蛋白的吸附能力估计为脂肪的5%。根据这一估计，如果脂肪含量占干重有机含量的5%以下，动物或组织的吸附能力将由蛋白质的贡献主导。在这种情况下。考虑到蛋白质等非脂类成分的吸附能力，可以更准确地预测化学物质的积累和分布。
Partition coefficients that are used to predict concentrations of hydrophobic organic chemicals in biota (e.g., the bio-concentration factor) often assume that the sorptive capacity of an organism or tissue is adequately represented by its lipid content. In lean organisms and tissues, however, theory suggests that partitioning may be strongly influenced by the sorptive capacity of nonlipid materials. such as protein. Little is known about the sorptive capacity of proteins for hydrophobic organic chemicals, and methods to include proteins in bioaccumulation models do not exist. Here. we present a compilation and meta-analysis of published data to estimate the relative sorptive capacities of animal proteins and lipids for neutral organic chemicals. We found that the estimated sorptive capacity of protein in solid animal tissues ranged from around 1 to 10% that of lipid for compounds with a log octanol/water Partition coefficient (K-OW) of greater than two. The sorptive capacity of blood protein (albumin) appeared to be substantially higher than this, especially for low-K-OW, chemicals. For modeling purposes, we recommend estimating the sorptive capacity of animal protein as 5% that of lipid. According to this estimate, the sorptive capacity of an animal or tissue will be dominated by the contribution from protein if the lipid content makes up less than 5% of the dry-weight organic content. In such situations. a consideration of the sorptive capacity of nonlipid constituents, such as protein, will permit more accurate predictions of chemical accumulation and distribution.