A systematic design method was used to develop a pilot-scale simulated moving bed (SMB)
process for the fractionation of two amino acids, tryptophan and phenylalanine. In this method,
isotherms were estimated using both frontal chromatography and batch equilibrium methods,
and mass-transfer parameters were estimated using frontal chromatography data. SMB
experiments were then conducted using the zone flow rates and port velocity calculated from a
theoretical analysis without considering mass-transfer effects (an equilibrium design). The
estimated parameters were validated with computer simulation and SMB data based on the
equilibrium design. A design considering mass-transfer effects (a nonequilibrium design) was
then obtained from the standing wave analysis and tested experimentally. The effluent histories
at the extract, raffinate, and sampling ports agreed with those from computer simulations. A
sensitivity analysis shows that accurate isotherms, intraparticle diffusivities, and bed voidage
are important for the SMB design, and the nonequilibrium design is more robust than the
equilibrium design. Various column configurations were compared in terms of throughput and
desorbent consumption.
-An experimental and theoretical study is presented for the fractionation of L-Tryptophan (Trp) from L-phenylalanine (Phe) and L-tyrosine (Tyr). A Simulated-Moving Bed (SMB) with four-column system was tested, and the results are presented as effluent histories of the raffinate and extract ports. L-phenylalanine and L-tyrosine were recovered as major products in the raffinate, while L-Tryptophan was recovered at the extract. To simulate the L-Tryptophan separation, a general rate model was used to represent the mass transfer phenomena that occur in each individual column of the SMB, for each solute present in the multicomponent system. A hybrid method was used to solve the model. An analytic solution was used for the intra-particle concentration, and was correlated to the liquid bed concentration by Duhamel's theorem. The results from simulation are compared with the experimental data presented in this work.
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