Selective recovery of cadaverine from lysine decarboxylase bioconversion solution using methyl ethyl ketone
- Authors
- Hong, Yun-Gi; Kim, Hyun-Joong; Jeon, Jong-Min; Moon, Yu-Mi; Hong, Ju-Won; Joo, Jeong-Chan; Song, Bong-Keun; Park, Kyung-Moon; Lee, Sang-Hyun; Yang, Yung-Hun
- Issue Date
- 25-Aug-2018
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- Liquid-liquid extraction; Methyl ethyl ketone; Lysine decarboxylase; Cadaverine; Escherichia colt
- Citation
- JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, v.64, pp.167 - 172
- Journal Title
- JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- Volume
- 64
- Start Page
- 167
- End Page
- 172
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3307
- DOI
- 10.1016/j.jiec.2018.03.013
- ISSN
- 1226-086X
- Abstract
- Efficient extraction and purification process is still a major bottleneck for economical production of cadaverine. We examined 10 different organic solvents to determine which one might be a suitable solvent for cadaverine extraction. Methyl ethyl ketone (MEK) was a very selective solvent for cadaverine. High pH was critical factor for cadaverine extraction with high purity. Cadaverine extraction efficiency of more than 70.1% with 99% of purity was successfully achieved by applying optimized extraction condition (pH 13.5, 58 degrees C, 200 rpm incubation for 6 h). Cadaverine extraction using MEK seems quite feasible and promising for the preparation of polyamide monomers for environmental process. (C) 2018 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Science and Technology > Department of Biological and Chemical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3307)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.