Design of bypass-simulated moving bed chromatography for reduced purity requirements. (21st September 2019)

• Record Type: Journal Article
• Authors: Maruyama, Rafael Teruo; Karnal, Preetika; Sainio, Tuomo; Rajendran, Arvind
• Is Part Of: Chemical engineering science. Volume 205(2019)
• Page Start: 401
• Page End: 413
• Publication Date: 2019-09-21
• Subjects: Simulated moving bed chromatography -- Reduced purity -- Equilibrium theory -- Sugar separations -- Triangle theory; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2019.05.003
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Bypass SMB: Overpurified SMB products are blended with feed to achieve product purity. Explicit analytical equations for calculating productivity for linear isotherms. Process improves robustness and productivity; no impact on desorbent requirement. Abstract: Bypass-Simulated moving bed (BP-SMB) chromatography, a process characterized by the possibility of over-purifying the raffinate and/or the extract product followed by blending with the feed, is studied. The BP-SMB provides additional degrees of freedom; the opportunity to increase productivity; increased robustness and operational flexibility compared to obtaining reduced purities directly from the SMB. Based on the local-equilibrium theory, explicit equations to calculate productivity are derived for systems following a linear isotherm based on the minimum switch time. It is shown that the BP-SMB offers productivity advantage compared to a reduced-purity SMB specifically at low purity requirements, high selectivity and high efficiency conditions. The effect of column efficiency and feed concentration for systems following non-linear isotherms are studied using numerical simulations. The production of high-fructose corn syrup, an industrial application of BP-SMB, is analysed. For the HFCS separation, it is shown that a BP-SMB operation while not providing any advantages in terms of productivity, provides operational flexibility and robustness.