Atalay Yasemin B, Carbonaro Richard F, Di Toro Dominic M
Department of Civil & Environmental Engineering, University of Delaware, Newark, Delaware 19716, USA.
Environ Sci Technol. 2009 May 15;43(10):3626-31. doi: 10.1021/es803057r.
The intrinsic proton binding constants of 10 model humic acid and six model fulvic acid molecules are calculated using SPARC Performs Automated Reasoning in Chemistry (SPARC). The accuracy of the SPARC calculations is examined using estimated microscopic binding constants of various small organic acids. An equimolar mixture of the appropriate hypothetical molecules is used as a representation of soil and aqueous humic acid and fulvic acid. The probability distributions of the mixture microscopic proton binding constants and the intrinsic proton binding constants in the metal speciation models WHAM V and WHAM VI (Windermere humic aqueous models) are compared. The idea is to assess the predictive value of the molecular mixture models as representations of heterogeneous natural organic matter. For aqueous humic and fulvic acids, the results are comparable to the WHAM distribution. For soil humic acid, the WHAM probability distribution is less acidic for the carboxylic sites but similar to that of the phenolic sites. Computations made using the WHAM molecular distributions and WHAM VI are comparable to titration data for Suwannee River fulvic acid. These results suggest that mixture molecular models can be used to investigate and predict the binding of metal cations to humic and fulvic acids.
使用SPARC(化学中的自动推理程序)计算了10种模型腐殖酸和6种模型富里酸分子的固有质子结合常数。利用各种小分子有机酸的估计微观结合常数检验了SPARC计算的准确性。将适当的假设分子的等摩尔混合物用作土壤以及水相腐殖酸和富里酸的代表。比较了混合物微观质子结合常数和金属形态模型WHAM V和WHAM VI(温德米尔腐殖酸水模型)中固有质子结合常数的概率分布。目的是评估分子混合物模型作为非均质天然有机物代表的预测价值。对于水相腐殖酸和富里酸,结果与WHAM分布相当。对于土壤腐殖酸,WHAM概率分布在羧基位点的酸性较低,但与酚羟基位点的类似。使用WHAM分子分布和WHAM VI进行的计算与苏万尼河富里酸的滴定数据相当。这些结果表明,混合物分子模型可用于研究和预测金属阳离子与腐殖酸和富里酸的结合。