Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Department of Environmental Geosciences, Kamýcká 1176, 165 21 Prague 6 Suchdol, Czech Republic.
Kocaeli University, Faculty of Science and Arts, Department of Chemistry, 41380 Kocaeli, Turkey.
J Hazard Mater. 2014 Jul 15;276:271-7. doi: 10.1016/j.jhazmat.2014.05.043. Epub 2014 May 23.
Two experiments were carried out to study the competition for adsorption between trace elements (TEs) and nutrients following the application of nano-maghemite (NM) (iron nano-oxide; Fe2O3) to a soil solution (the 0.01molL(-1) CaCl2 extract of a TEs-contaminated soil). In the first, the nutrients K, N, and P were added to create a set of combinations: potential availability of TEs during their interaction with NM and nutrients were studied. In the second, response surface methodology was used to develop predictive models by central composite design (CCD) for competition between TEs and the nutrients K and N for adsorption onto NM. The addition of NM to the soil solution reduced specifically the concentrations of available As and Cd, but the TE-adsorption capacity of NM decreased as the P concentration increased. The CCD provided more concise and valuable information, appropriate to estimate the behavior of NM sequestering TEs: according to the suggested models, K(+) and NH4(+) were important factors for Ca, Fe, Mg, Mn, Na, and Zn adsorption (Radj(2)=95%, except for Zn with Radj(2)=87%). The obtained information and models can be used to predict the effectiveness of NM for the stabilization of TEs, crucial during the phytoremediation of contaminated soils.
进行了两项实验,以研究纳米磁铁矿 (NM)(氧化铁;Fe2O3)施用于土壤溶液后微量元素 (TEs) 和养分之间的吸附竞争(受 TEs 污染土壤的 0.01molL(-1) CaCl2 提取物)。在第一个实验中,添加了养分 K、N 和 P,创建了一组组合:研究了 TEs 与 NM 和养分相互作用时的潜在有效性。在第二个实验中,使用中心复合设计 (CCD) 响应面法为 NM 上 TEs 和养分 K 和 N 的吸附竞争开发预测模型。NM 被添加到土壤溶液中,特别降低了有效 As 和 Cd 的浓度,但随着 P 浓度的增加,NM 对 TEs 的吸附能力下降。CCD 提供了更简洁和有价值的信息,适合估计 NM 隔离 TEs 的行为:根据建议的模型,K(+) 和 NH4(+) 是 Ca、Fe、Mg、Mn、Na 和 Zn 吸附的重要因素(除了 Radj(2)=87%的 Zn 外,Radj(2)=95%)。获得的信息和模型可用于预测 NM 对 TEs 稳定化的有效性,这在受污染土壤的植物修复中至关重要。