Martin Elisha, Prostredny Martin, Fletcher Ashleigh, Mulheran Paul
Department of Chemical & Process Engineering, University of Strathclyde, Glasgow G1 1XL, United Kingdom.
J Phys Chem B. 2021 Feb 25;125(7):1960-1969. doi: 10.1021/acs.jpcb.0c11000. Epub 2021 Feb 16.
Assessing the efficacy of specific porous materials for use in various applications has been a central focus for many experimental studies over the years, with a view to altering the material properties according to the desired characteristics. The application potential for one such class of nanoporous materials-organic resorcinol-formaldehyde (RF) gels-is of particular interest, due to their attractive and adjustable properties. In this work, we simulate adsorption analysis using lattice-based mean field theory, both in individual pores and within three-dimensional porous materials generated from a kinetic Monte Carlo cluster aggregation model. We investigate the impacts of varying pore size and geometry on the adsorptive behavior, with results agreeing with those previously postulated in the literature. The adsorption analysis is carried out for porous materials simulated with varying catalyst concentrations and solids contents, allowing their structural properties to be assessed from resulting isotherms and the adsorption and desorption processes visualized using density color maps. Isotherm analysis indicated that both low catalyst concentrations and low solids contents resulted in structures with open transport pores that were larger in width, while high catalyst concentrations and solids contents resulted in structures with bottleneck pores that were narrower. We present results from both the simulated isotherms and pore size analysis distributions, in addition to results from RF gels synthesized in the lab and analyzed experimentally, with significant similarities observed between the two. Not only do the results of this comparison validate the kinetic Monte Carlo model's ability to successfully capture the formation of RF gels under varying synthesis parameters, but they also show significant promise for the tailoring of material properties in an efficient and computationally inexpensive manner-something which would be pivotal in realizing their full application potential, and could be applied to other porous materials whose formation mechanism operates under similar principles.
多年来,评估特定多孔材料在各种应用中的功效一直是许多实验研究的核心重点,目的是根据所需特性改变材料性能。一类纳米多孔材料——有机间苯二酚 - 甲醛(RF)凝胶的应用潜力尤其令人关注,因为它们具有吸引人且可调节的特性。在这项工作中,我们使用基于晶格的平均场理论模拟吸附分析,既在单个孔中进行,也在由动力学蒙特卡罗团簇聚集模型生成的三维多孔材料中进行。我们研究了孔径和几何形状变化对吸附行为的影响,结果与文献中先前假设的结果一致。对用不同催化剂浓度和固体含量模拟的多孔材料进行吸附分析,从而可以根据所得等温线评估其结构特性,并使用密度色图可视化吸附和解吸过程。等温线分析表明,低催化剂浓度和低固体含量会导致具有较宽开放传输孔的结构,而高催化剂浓度和固体含量会导致具有较窄瓶颈孔的结构。我们展示了模拟等温线和孔径分析分布的结果,以及实验室合成并通过实验分析的RF凝胶的结果,两者之间观察到了显著的相似性。这种比较的结果不仅验证了动力学蒙特卡罗模型在不同合成参数下成功捕捉RF凝胶形成的能力,而且还显示出以高效且计算成本低廉的方式定制材料性能的巨大潜力——这对于实现其全部应用潜力至关重要,并且可以应用于其他形成机制遵循类似原理的多孔材料。