Abstract. Chromatography has been established as the method of choice for the separation and purification of optically pure drugs which has a market size of about 250 billion USD. Single column chromatography (SCC) is commonly used in the development and testing phase of drug development while multi-column Simulated Moving Bed (SMB) chromatography is more suitable for large scale production due to its continuous nature. In this study, optimal performance of SCC and SMB processes for the separation of optical isomers under linear and overloaded separation conditions has been investigated. The performance indicators, namely productivity and desorbent requirement have been compared under geometric similarity for the separation of a mixture of guaifenesin, and Tröger's base enantiomers. SCC process has been analyzed under equilibrium assumption i.e., assuming infinite column efficiency, and zero dispersion, and its optimal performance parameters are compared with the optimal prediction of an SMB process by triangle theory. Simulation results obtained using actual experimental data indicate that SCC may compete with SMB in terms of productivity depending on the molecules to be separated. Besides, insights into the process performances in terms of degree of freedom and relationship between the optimal operating point and solubility limit of the optical isomers have been ascertained. This investigation enables appropriate selection of single or multi-column chromatographic processes based on column packing properties and isotherm parameters.
IntroductionContinuous chromatographic separation is the method of choice for large-scale production due to its higher productivity and robustness [1; 2]. Simulated moving bed (SMB), introduced in 1960 [3], has become the bench mark in this regard. Backed by the celebrated triangle theory [4], it is possible to identify the region of complete separation and find a relation between decision variables and performance indicators in a relatively straightforward manner. On the other hand, singlecolumn chromatography (SCC) although does not appear to be competitive against SMB, it is still attractive due to higher flexibility, lower capital investment and quick analysis [5]. In this paper, under equilibrium theory assumptions, we present mathematical analysis of SMB and SCC under linear and nonlinear ranges of operation. For Langmuir isotherm, new analytical results are utilized for obtaining the triangular region of the SMB process [4] and elution profiles of the SCC process [6]. Thanks to equilibrium theory, it is possible to highlight optimal operating points and theoretical degrees of freedom for both processes without elaborate numerical methods and multi-objective optimization algorithms.