Mendez Juan C, Hiemstra Tjisse, Koopmans Gerwin F
Soil Chemistry and Chemical Soil Quality Group, Wageningen University and Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands.
Environ Sci Technol. 2020 Oct 6;54(19):11990-12000. doi: 10.1021/acs.est.0c02163. Epub 2020 Sep 18.
Assessment of the surface reactivity of natural metal-(hydr)oxide nanoparticles is necessary for predicting ion adsorption phenomena in soils using surface complexation modeling. Here, we describe how the equilibrium concentrations of PO, obtained with 0.5 M NaHCO extractions at different solution-to-soil ratios, can be interpreted with a state-of-the-art ion adsorption model for ferrihydrite to assess the reactive surface area (RSA) of agricultural top soils. Simultaneously, the method reveals the fraction of reversibly adsorbed soil PO (R-PO). The applied ion-probing methodology shows that ferrihydrite is a better proxy than goethite for consistently assessing RSA and R-PO. The R-PO pool agrees well with ammonium oxalate (AO)-extractable phosphorus, but only if measured as orthophosphate. The RSA varied between ∼2 and 20 m/g soil. The corresponding specific surface area (SSA) of the natural metal-(hydr)oxide fraction is ∼350-1400 m/g, illustrating that this property is highly variable and cannot be represented by a single value based on the AO-extractable oxide content. The soil organic carbon (SOC) content of our top soils increases linearly not only with the increase in RSA but remarkably also with the increase in mean particle size (1.5-5 nm). To explain these observations, we present a structural model for organo-mineral associations based on the coordination of SOC particles to metal-(hydr)oxide cores.
利用表面络合模型预测土壤中的离子吸附现象时,评估天然金属(氢)氧化物纳米颗粒的表面反应性很有必要。在此,我们描述了如何用针对水铁矿的先进离子吸附模型来解释在不同溶液与土壤比例下用0.5 M NaHCO₃萃取获得的PO₄³⁻平衡浓度,以评估农业表层土壤的反应性表面积(RSA)。同时,该方法还能揭示可逆吸附的土壤PO₄³⁻(R-PO₄³⁻)的比例。所应用的离子探测方法表明,在持续评估RSA和R-PO₄³⁻方面,水铁矿比针铁矿是更好的替代物。R-PO₄³⁻库与草酸铵(AO)可提取磷吻合良好,但前提是测量的是正磷酸盐。RSA在约2至20 m²/g土壤之间变化。天然金属(氢)氧化物部分的相应比表面积(SSA)约为350 - 1400 m²/g,这表明该性质变化很大,不能仅基于AO可提取氧化物含量用单一值来表示。我们表层土壤的土壤有机碳(SOC)含量不仅随RSA的增加呈线性增加,而且显著地还随平均粒径(1.5 - 5 nm)的增加而增加。为了解释这些观察结果,我们基于SOC颗粒与金属(氢)氧化物核心的配位作用,提出了一个有机 - 矿物缔合的结构模型。