A method to predict binary eutectic mixtures for mechanochemical syntheses and cocrystallizations†

Michele Prencipe, Paolo P. Mazzeo and Alessia Bacchi
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Abstract

The prediction of the phase behaviour of a mixture of solid components when they come into contact is of high interest in fast growing research fields such as mechanochemistry and deep eutectic solvents (DESs). This paper provides a friendly predictive tool (PoEM, i.e. Predictor of Eutectic Mixtures), along with some guidelines and quantitative references, to quickly estimate the variation in the melting point due to the mixture of reactants for a mechanochemical process. An empirical model that estimates the ideal eutectic point and includes deviation from ideality based on intermolecular interactions is presented here, allowing for the design of synthetic procedures for solvent-less cocrystallization processes. PoEM calculations are validated by comparing the prediction with experimental behaviour of a number of mixtures with a low melting eutectic mixture. Finally, as a working example we consider how to identify coformers for the synthesis of a cocrystal containing thymol such that the cocrystallization would proceed through the formation of a metastable liquid phase.

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机械化学合成和共晶二元共晶混合物的预测方法
在机械化学和深共晶溶剂(DESs)等快速发展的研究领域中,预测固体组分混合物接触时的相行为具有很高的兴趣。本文提供了一个友好的预测工具(PoEM,即共晶混合物预测器),以及一些指导方针和定量参考,以快速估计机械化学过程中反应物混合引起的熔点变化。本文提出了一个经验模型,该模型估计理想共晶点,包括基于分子间相互作用的理想偏差,允许设计无溶剂共结晶过程的合成程序。通过将预测结果与低熔点共晶混合物的实验行为进行比较,验证了PoEM计算结果。最后,作为一个工作实例,我们考虑如何鉴定合成含有百里香酚的共晶的共晶构象,使共晶将通过亚稳液相的形成进行。
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