Analyses of simulated moving bed with internal temperature gradients for binary separation of ketoprofen enantiomers using multi-objective optimization: Linear equilibria

摘要

Highlights?Multi-objective optimization was used to evaluate the performance of SMB process with internal temperature gradients.?Internal temperature gradient can be used to significantly enhance SMB productivity.?Temperature transition effects on internal concentration profiles play an important role in enhancing SMB performance.?A design strategy consisting of multi-objective optimization, parametric sensitivity and internal concentration profile analyses was proposed.AbstractGradient operation of a simulated moving bed (SMB) can improve the separation and purification performance by adjusting adsorption strength in each individual zone according to its functional role. The feasibility of an internal temperature gradient (ITG) established by a difference between feed and desorbent temperatures for binary separation of ketoprofen enantiomers was investigated based on simultaneous optimization of pur