Arias M, Pérez-Novo C, Osorio F, López E, Soto B
Area de Edafoloxía e Química Agrícola, Departamento de Bioloxía Vexetal e Ciencia do Solo, Facultade de Ciencias, Universidade de Vigo, 32004 Ourense, Spain.
J Colloid Interface Sci. 2005 Aug 1;288(1):21-9. doi: 10.1016/j.jcis.2005.02.053.
The environmental and health effects of the contamination of soils by heavy metals depend on the ability of the soils to immobilize these contaminants. In this work, the adsorption and desorption of Cu and Zn in the surface layers of 27 acid soils were studied. Adsorption of Cu(II) from 157-3148 mumol L(-1) solutions was much greater than adsorption of Zn(II) from solutions at the same concentration. For both Cu and Zn, the adsorption data were fitted better by the Freundlich equation than by the Langmuir equation. Multiple regression analyses suggest that Cu and Zn adsorption depends to a significant extent on pH and CEC: for both metals these variables accounted for more than 80% of the variance in the Freundlich pre-exponential parameter K(F), and pH also accounted for 57% of the variance in 1/n for Zn and, together with carbon content, for 41% of the variance in 1/n for Cu. The percentage of adsorbed metal susceptible to desorption into 0.01 M NaNO3 was greater for Zn than for Cu, but in both cases depended significantly on pH, decreasing as pH increased. In turn, both pH(H2O) and pH(KCl) are significantly correlated with cation exchange capacity. Desorption of metal adsorbed from solutions at relatively low concentration (787 mumol L(-1)) exhibited power-law dependence on Kd, the quotient expressing distribution between soil and soil solution in the corresponding adsorption experiment, decreasing as increasing Kd reflected increasing affinity of the soil for the metal. The absence of a similarly clear relationship when metal had been adsorbed from solutions at relatively high concentration (2361 mumol L(-1)) is attributed to the scant between-soil variability of Kd at these higher concentrations. In general, adsorption was greater and subsequent desorption less in cultivated soils than in woodland soils.
土壤中重金属污染对环境和健康的影响取决于土壤固定这些污染物的能力。在本研究中,对27种酸性土壤表层中铜和锌的吸附与解吸进行了研究。从157 - 3148 μmol L⁻¹溶液中吸附的Cu(II)远大于从相同浓度溶液中吸附的Zn(II)。对于铜和锌,Freundlich方程比Langmuir方程更能拟合吸附数据。多元回归分析表明,铜和锌的吸附在很大程度上取决于pH值和阳离子交换容量:对于这两种金属,这些变量在Freundlich指数前参数K(F)的方差中占比超过80%,pH值在锌的1/n方差中也占57%,对于铜,pH值与碳含量一起在1/n方差中占41%。吸附的金属中易解吸到0.01 M NaNO₃中的锌的比例高于铜,但在两种情况下都显著取决于pH值,随pH值升高而降低。反过来,pH(H₂O)和pH(KCl)都与阳离子交换容量显著相关。从相对低浓度(787 μmol L⁻¹)溶液中吸附的金属的解吸表现出对Kd的幂律依赖性,Kd是相应吸附实验中表示土壤与土壤溶液间分配的商,随着Kd增大反映土壤对金属的亲和力增加,解吸减少。当金属从相对高浓度(2361 μmol L⁻¹)溶液中吸附时,没有类似明显的关系,这归因于在这些较高浓度下土壤间Kd的变异性较小。总体而言,耕地土壤中的吸附量大于林地土壤,随后的解吸量小于林地土壤。