Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK.
Nat Chem. 2013 Nov;5(11):952-7. doi: 10.1038/nchem.1755. Epub 2013 Sep 22.
Solvents can significantly alter the rates and selectivity of liquid-phase organic reactions, often hindering the development of new synthetic routes or, if chosen wisely, facilitating routes by improving rates and selectivities. To address this challenge, a systematic methodology is proposed that quickly identifies improved reaction solvents by combining quantum mechanical computations of the reaction rate constant in a few solvents with a computer-aided molecular design (CAMD) procedure. The approach allows the identification of a high-performance solvent within a very large set of possible molecules. The validity of our CAMD approach is demonstrated through application to a classical nucleophilic substitution reaction for the study of solvent effects, the Menschutkin reaction. The results were validated successfully by in situ kinetic experiments. A space of 1,341 solvents was explored in silico, but required quantum-mechanical calculations of the rate constant in only nine solvents, and uncovered a solvent that increases the rate constant by 40%.
溶剂可以显著改变液相有机反应的速率和选择性,这通常会阻碍新合成路线的发展,而如果选择得当,通过提高速率和选择性,溶剂也可以促进路线的发展。为了解决这一挑战,提出了一种系统的方法,该方法通过将几种溶剂中反应速率常数的量子力学计算与计算机辅助分子设计(CAMD)程序相结合,快速确定改进的反应溶剂。该方法允许在非常大的可能分子集合中识别高性能溶剂。我们的 CAMD 方法的有效性通过应用于经典亲核取代反应来研究溶剂效应,即曼舒特金反应,得到了验证。结果通过原位动力学实验成功验证。在计算机中探索了 1341 种溶剂的空间,但仅需要对 9 种溶剂进行量子力学计算速率常数,并且发现了一种可将速率常数提高 40%的溶剂。