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Modeling the dioctahedral smectites layer charge variation versus structural Iron reduction level

机译:模拟二面体蒙脱石层电荷变化与结构铁还原水平的关系

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摘要

Iron is one of the most common redox species in soils and sedimentary rocks. Amongst iron-bearing phases, phyllosilicates might play key roles in various bio-geochemical processes involving redox reactions, where structural Fe (Festr) can act as a renewable source/trap of electron. A large set of data from kinetics, spectroscopic or electrochemical studies on dioctahedral smectites demonstrates that reduction of Festr impacts many clay properties such as colour, layer charge, swelling pressure, colloidal properties that are linked to layer structural changes. Experiments also suggest that this mechanism is partly reversible, depending on type and properties of the primary oxidized clay, on how the reduction is induced (chemically and/or biologically) and on extent of iron reduction level. The complexity of the involved mechanisms makes the prediction of Festr redox properties challenging. For instance, only empirical models are currently available to quantify structural changes as a function of reduction level. However, a predictive and mechanistic model of these changes is a prerequisite to develop a thermodynamic model for Festr redox properties. In this contribution, we propose a mechanistic statistical model to explain 2:1 layer excess negative charge changes induced by structural Fe(III) to Fe(II) chemical reduction (by dithionite). This model completes this published by Drits and Manceau (2000) and was calibrated on data from our own and from the literature. Actually, a large number of studies on Festr redox properties (Eh and kinetics) neglects the major structural changes that occur during redox reactions of this material and that are partially reversible, and are focused in measuring a single Eh value. Actually, the complex relationship that exist between the different structural iron sites should lead to consider that not only one but several Fe(II)/Fe(III) poles (classes) must exist in the structure, thus exhibiting gradually decreasing Eh values. Hence, further developments of our model will include Crystal Field Theory (CFT) calculation to identify the variety of Festr redox potential, which arises from the varying Festr neighbouring inside the same structure and along the redox processes.
机译:铁是土壤和沉积岩中最常见的氧化还原物质之一。在含铁阶段中,页硅酸盐可能会在涉及氧化还原反应的各种生物地球化学过程中发挥关键作用,其中结构Fe(Festr)可以充当电子的可再生来源/陷阱。来自对八面体绿土的动力学,光谱或电化学研究的大量数据表明,Festr的减少会影响许多粘土特性,例如颜色,层电荷,溶胀压力,与层结构变化相关的胶体特性。实验还表明,这种机理在某种程度上是可逆的,具体取决于初级氧化粘土的类型和性质,还原的诱导方式(化学和/或生物学方式)以及铁还原水平的程度。涉及机制的复杂性使得Festr氧化还原性质的预测具有挑战性。例如,目前仅经验模型可用于根据还原水平对结构变化进行量化。但是,这些变化的预测和机理模型是开发Festr氧化还原特性热力学模型的先决条件。在此贡献中,我们提出了一种机械统计模型来解释结构Fe(III)到Fe(II)化学还原(连二亚硫酸盐)引起的2:1层过量负电荷变化。该模型完善了Drits和Manceau(2000)所发表的模型,并根据我们自己和文献中的数据进行了校准。实际上,有关Festr氧化还原特性(Eh和动力学)的大量研究都忽略了这种材料在氧化还原反应过程中发生的,部分可逆的主要结构变化,而专注于测量单个Eh值。实际上,不同结构铁位点之间存在的复杂关系应导致考虑到,结构中不仅必须存在一个Fe(II)/ Fe(III)极(类),因此Eh值会逐渐降低。因此,我们模型的进一步发展将包括晶体场理论(CFT)计算,以识别Festr氧化还原电位的变化,该电位是由相同结构内部以及沿氧化还原过程变化的Festr相邻而产生的。

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