Simulated Moving Bed Strategies and Designs: From Established Systems to the Latest Developments
authors Aniceto, JPS; Silva, CM
nationality International
journal SEPARATION AND PURIFICATION REVIEWS
author keywords Chromatography; enantiomer separation; modeling; patents; simulated moving bed; true moving bed
keywords TROGERS BASE ENANTIOMERS; STANDING-WAVE DESIGN; ADSORPTION SEPARATION PROCESSES; GLUCOSE-FRUCTOSE SEPARATION; REDUCED PURITY REQUIREMENTS; PARTIAL-DISCARD STRATEGY; ONE-COLUMN CHROMATOGRAPH; ADAPTIVE-CONTROL CONCEPT; LINEAR ISOTHERM SYSTEMS; CENTER-CUT SEPARATION
abstract The simulated moving bed (SMB) technology has evolved significantly since its inception. The appearance of several variants to conventional SMB has led to better performance in productivity and product purity, and lower operating costs, thus creating new opportunities for different applications. This trend is clearly visible in the increasing number of papers and patents published in this field in recent years. This review aims to gather and discuss several modifications and operation modes that have been proposed, from the most well-known Varicol and PowerFeed to the latest Intermittent-SMB and variable external stream systems, giving particular emphasis to innovations and applications of each SMB strategy. SMB valve designs are also covered in this article for their importance in the application of the operation modes discussed, which require ever more flexible units capable of variable switch times, column expandability, zone bypasses, and reduced solvent consumption while still avoiding contamination through line sharing.
publisher TAYLOR & FRANCIS INC
issn 1542-2119
year published 2015
volume 44
issue 1
beginning page 41
ending page 73
digital object identifier (doi) 10.1080/15422119.2013.851087
web of science category Chemistry, Applied; Chemistry, Analytical; Engineering, Chemical
subject category Chemistry; Engineering
unique article identifier WOS:000341181500004
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  impact metrics
journal analysis (jcr 2017):
journal impact factor 4.212
5 year journal impact factor 4.983
category normalized journal impact factor percentile 88.169
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