1. A QM-CAMD approach to solvent design for optimal reaction rates
- Author
-
Heiko Struebing, Eirini Siougkrou, Amparo Galindo, Stephan Obermeier, Claire S. Adjiman, and Engineering & Physical Science Research Council (EPSRC)
- Subjects
Technology ,Engineering, Chemical ,CHEMICAL-REACTIONS ,General Chemical Engineering ,Menshutkin reaction ,Phase equilibrium ,0904 Chemical Engineering ,Thermodynamics ,02 engineering and technology ,SOLVATION ENERGY RELATIONSHIPS ,010402 general chemistry ,REACTION-KINETICS ,01 natural sciences ,Chemical reaction ,Quantum mechanics ,Industrial and Manufacturing Engineering ,Reaction rate ,Chemical kinetics ,Surrogate model ,Reaction rate constant ,Engineering ,020401 chemical engineering ,PHENACYL BROMIDE ,AIDED MOLECULAR DESIGN ,0204 chemical engineering ,Solubility ,TERT-BUTYL HALIDES ,Computer-aided molecular design ,Science & Technology ,Chemistry ,Applied Mathematics ,Kinetics Group contribution ,General Chemistry ,ORGANIC-SYNTHESIS ,Chemical Engineering ,MENSHUTKIN REACTION ,0104 chemical sciences ,PURE COMPONENT PROPERTIES ,Organic reaction ,Physical chemistry ,LIQUID-MIXTURES ,0913 Mechanical Engineering - Abstract
The choice of solvent in which to carry out liquid-phase organic reactions often has a large impact on reaction rates and selectivity and is thus a key decision in process design. A systematic methodology for solvent design that does not require any experimental data on the effect of solvents on reaction kinetics is presented. It combines quantum mechanical computations for the reaction rate constant in various solvents with a computer-aided molecular design (CAMD) formulation. A surrogate model is used to derive an integrated design formulation that combines kinetics and other considerations such as phase equilibria, as predicted by group contribution methods. The derivation of the mixed-integer nonlinear formulation is presented step-by-step. In the application of the methodology to a classic S N 2 reaction, the Menschutkin reaction, the reaction rate is used as the key performance objective. The results highlight the trade-offs between different chemical and physical properties such as reaction rate constant, solvent density and solid reactant solubility and lead to the identification of several promising solvents to enhance reaction performance.
- Published
- 2016