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Predicting Mole-Fraction-Dependent Dissociation for Weak Acids

机译:预测弱酸的弱酸依赖性解离

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摘要

We demonstrate for formic and acetic acid dissolved in water as examples that the binary quantum cluster equilibrium (bQCE) approach can predict acid strengths over the whole range of acid concentrations. The acid strength increases in a complex rather than a simple way with increasing mole fraction of the acid from 0 to 0.7, reflecting the complex interplay between the dissociated ions or conjugate bases available as compared to the acid and water molecules. Furthermore, our calculated ion concentrations meet the experimental maximum of the conductivity with excellent agreement for acetic acid and satisfactorily for the formic acid/water mixture. As only a limited number of simple quantum-chemical calculations are required for the prediction, bQCE is clearly a valuable approach to access these quantities also in non-aqueous solutions. It is a highly valuable asset for predicting ionization processes in highly concentrated solutions, which are relevant for biological and chemical systems, as well as technological processes.
机译:我们证明溶解在水中的甲酸和乙酸作为二元量子簇平衡(BQCE)方法可以预测整个酸浓度范围内的酸强度。酸强度在复合物中增加而不是一种简单的方式,其与酸的摩尔分数增加0至0.7,反映与酸和水分子相比可用的离解离子或缀合物碱之间的复杂相互作用。此外,我们计算的离子浓度与乙酸和甲酸/水混合物令人满意的乙酸和令人满意的乙酸同步,满足电导率的实验最大值。由于预测需要仅需要有限数量的简单量子化学计算,因此BQCE也显然是在非水溶液中获得这些量的有价值的方法。对于预测高浓度的溶液中的电离过程是一种非常有价值的资产,其与生物和化学系统以及技术过程相关。

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