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Development of a three-zone simulated moving bed process based on partial-discard strategy for continuous separation of valine from isoleucine with high purity, high yield, and high product concentration

Authors
Park, ChanhunNam, Hee-GeunHwang, Hee-JeongKim, Jin-HyunMun, Sungyong
Issue Date
Feb-2014
Publisher
ELSEVIER SCI LTD
Keywords
Simulated moving bed process; Valine; Continuous separation; Amberchrom-CG161C; Process optimization; Process experiment
Citation
PROCESS BIOCHEMISTRY, v.49, no.2, pp.324 - 334
Indexed
SCIE
SCOPUS
Journal Title
PROCESS BIOCHEMISTRY
Volume
49
Number
2
Start Page
324
End Page
334
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160749
DOI
10.1016/j.procbio.2013.10.021
ISSN
1359-5113
Abstract
The issue of separating valine from isoleucine has been a major concern in the biotechnological process for production of valine. To address this issue, an optimal three-zone simulated moving bed (SMB) process for continuous separation of valine was developed in this study. It was first found that an AmberchromCG161C resin was highly suitable for the adsorbent of such SMB process. The adsorption isotherm and mass-transfer parameters of valine and isoleucine on the Amberchrom-CG161C adsorbent were then determined through multiple frontal experiments. The determined parameters were used in the next stage of optimizing the SMB for valine separation, which was performed on the basis of genetic algorithm. For the optimized SMB process, a partial-discard strategy was applied to the raffinate port in order to make a further improvement in the valine product concentration. Finally, the optimized SMB based on the partial-discard strategy was tested experimentally using the self-assembled SMB equipment. The experimental results showed that the developed process in this study was highly effective in continuous separation of valine from isoleucine while ensuring the attainment of high product concentration. The experimental data for the SMB effluent histories and the SMB column profiles were also in close agreement with the model predictions.
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