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Adsorption of organic molecules on carbon surfaces: Experimental data and molecular dynamics simulation considering multiple protonation states

机译:碳表面上有机分子的吸附:考虑多个质子化状态的实验数据和分子动力学模拟

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摘要

Owing to their high specific surface and low production cost, carbon materials are among the most important adsorption materials. Novel usages, for instance in pharmaceutical applications, challenge existing methods because charged and strongly polar substances need to be adsorbed. Here, we systematically investigate the highly complex adsorption equilibria of organic molecules having multiple protonation states as a function of pH. The adsorption behavior depends on intermolecular interactions within the solution (dissociation equilibria) and between adsorbed molecules on the carbon surface (electrostatic forces). For the model substances maleic acid and phenylalanine, we demonstrate that a custom-made genetic algorithm is able to extract up to nine parameters of a multispecies isotherm from experimental data covering a broad pH-range. The parameters, including adsorption affinities, interaction energies, and maximum loadings were also predicted by molecular dynamics simulations. Both approaches obtained a good qualitative and mostly also quantitative description of the adsorption behavior within a pH-range of 2-12. By combining the determined isotherms with mass balances, the final concentrations and pH-shifts of batch adsorption experiments can be predicted. The developed modeling tools can be easily adapted to other types of pH-dependent, multispecies adsorbates and therefore will help to optimize adsorption-based processes in different fields.
机译:碳材料因其高比表面积和低生产成本而成为最重要的吸附材料之一。新的用途,例如在制药应用中,挑战现有的方法,因为带电和强极性物质需要被吸附。在这里,我们系统地研究了具有多个质子化状态的有机分子的高度复杂的吸附平衡,作为pH值的函数。吸附行为取决于溶液中的分子间相互作用(解离平衡)和碳表面上吸附分子之间的相互作用(静电力)。对于模型物质马来酸和苯丙氨酸,我们证明,定制的遗传算法能够从涵盖广泛pH范围的实验数据中提取多达九个多物种等温线参数。分子动力学模拟还预测了吸附亲和力、相互作用能和最大负载等参数。这两种方法在pH值为2-12的范围内对吸附行为进行了很好的定性和定量描述。通过将测定的等温线与质量平衡相结合,可以预测间歇吸附实验的最终浓度和pH值变化。开发的建模工具可以很容易地适用于其他类型的pH依赖性多物种吸附质,因此将有助于优化不同领域的吸附过程。

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