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Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models
- Authors
- Yoo, Hah Young; Lee, Ja Hyun; Kim, Dong Sup; Lee, Ju Hun; Lee, Soo Kweon; Lee, Sang Jun; Park, Chulhwan; Kim, Seung Wook
- Issue Date
- 25-7월-2017
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- Alkali; Biomass; Lignocellulose; Optimization; Pretreatment
- Citation
- JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, v.51, pp.303 - 311
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- Volume
- 51
- Start Page
- 303
- End Page
- 311
- ISSN
- 1226-086X
- Abstract
- In this study, the solid recovery was significantly applied to the design of experiments which is indicated as biomass into glucose recovery (BtG). Pretreatment of canola straw was carried out using alkali reagents, and optimal conditions were determined by solving of multi regression models. The optimal conditions are as follows: 70 degrees C for 16 h with 19% NH3 (NH3-pretreatment) and 70 degrees C for 20 h with 9% NaOH (NaOH-pretreatment). The model predicted results were compared to the experimental results with a high degree of accuracy of >95%. Finally, BtG by NH3 and NaOH process were enhanced approximately 4.1- and 3.7-fold, respectively. (C) 2017 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
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