Advances in understanding the phosphate binding to soil constituents: A Computational Chemistry perspective

• Published in: The Science of the total environment 2023-08, Vol.887, p.163692-163692, Article 163692
• Main Authors: Ahmed, Ashour A., Leinweber, Peter, Kühn, Oliver
• Format: Article
• Language: English
• Subjects: MD simulations; Mineral surfaces; Molecular modeling; P binding; Phosphates
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2023.163692

Phosphorus (P) is an indispensable element to all forms of life and its efficient use in fertilizers is one of the conditions for food security. The efficiency of P fertilizers is affected by P mobilization and P fixation, both depending on the P binding strength to soil constituents. This review provides an overview of the P binding to soil constituents, especially to P-fixing mineral surfaces and its investigation using state-of-the-art Computational Chemistry (CC). A particular focus will be on goethite (α-FeOOH), which is highly significant in the context of P fixation in soils, given its prevalence, high susceptibility to P, and wide distribution across both oxic and anoxic environments. First, a brief overview will be given on experimental efforts related to the P adsorption at mineral surfaces and the factors affecting this process. Here, we will discuss the process of P adsorption, with a focus on important factors that influence this process, such as pH, surface crystallinity and morphology, competing anions, and electrolyte solutions. We will also explore the various techniques used to study this process and investigate the resulting binding motifs. Next, a brief introduction into common CC methods, techniques, and applications is presented, highlighting the advantages and limitations of each approach. Then, a comprehensive discussion of a wide range of the most relevant computational studies related to the phosphate binding issue will be provided. This will be followed by the main part of this review which is focusing on a possible strategy to cope with the soil heterogeneity by breaking down the complexity of P behavior in soil into well-defined models that can be discussed in terms of particular key factors. Hence, different molecular model systems and molecular simulations are introduced to reveal the P binding to soil organic matter (SOM), metal ions, and mineral surfaces. Simulation results provided an in-depth understanding of the P binding problem and explained at a molecular level the effects of surface plane, binding motif, kind and valency of metal ions, SOM composition, water, pH, and redox potential on the P binding in soil. On this basis, an overall molecular picture of P binding in soil can be then obtained by combining results for the different models. Eventually, challenges and further modifications of the existing molecular modeling approaches are discussed, such as steps necessary to bridge the molecular with the mesoscale. [Di