Linear free energy relationships for metal-ligand complexation: Bidentate binding to negatively-charged oxygen donor atoms

被引:46
作者
Carbonaro, Richard F. [1 ]
Atalay, Yasemin B. [2 ]
Di Toro, Dominic M. [2 ]
机构
[1] Manhattan Coll, Dept Civil & Environm Engn, Riverdale, NY 10471 USA
[2] Univ Delaware, Dept Civil & Environm Engn, Newark, DE 19716 USA
关键词
CARBOXYL-GROUP STRUCTURES; FULVIC-ACID; STABILITY-CONSTANTS; SUWANNEE RIVER; ORGANIC-MATTER; ION-BINDING; CHELATE; MODEL; PREDICTION; GEORGIA;
D O I
10.1016/j.gca.2011.02.027
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Stability constants for metal complexation to bidentate ligands containing negatively-charged oxygen donor atoms can be estimated from the following linear free energy relationship (LFER): log K-ML = chi(OO)(alpha(O) log K-HL,(1) + alpha(O) log K-HL,K-2) where K-ML is the metal-ligand stability constant for a 1:1 complex, K-HL,K-1 and K-HL,K-2 are the proton-ligand stability constants (the ligand pK(a) values), and alpha(O) is the Irving-Rossotti slope. The parameter chi(OO) is metal specific and has slightly different values for five and six membered chelate rings. LFERs are presented for 21 different metal ions and are accurate to within approximately 0.30 log units in predictions of log K-ML values. Ligands selected for use in LFER development include dicarboxylic acids, carboxyphenols, and ortho-diphenols. For ortho-hydroxybenzaldehydes, alpha-hydroxycarboxylic acids, and alpha-ketocarboxylic acids, a modification of the LFER where log K-HL,K-2 is set equal to zero is required. The chemical interpretation of chi(OO) is that it accounts for the extra stability afforded to metal complexes by the chelate effect. Cu-NOM binding constants calculated from the bidentate LFERs are similar in magnitude to those used in WHAM 6. This LFER can be used to make log K-ML predictions for small organic molecules. Since natural organic matter (NOM) contains many of the same functional groups (i.e. carboxylic acids, phenols, alcohols), the LFER log K-ML predictions shed light on the range of appropriate values for use in modeling metal partitioning in natural systems. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2499 / 2511
页数:13
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