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Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models

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논문

Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models

학술지

Journal of industrial and engineering chemistry : JIEC

저자명

Yoo, Hah Young; Lee, Ja Hyun; Kim, Dong Sup; Lee, Ju Hun; Lee, Soo Kweon; Lee, Sang Jun; Park, Chulhwan; Kim, Seung Wook

초록

<P>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.</P>

발행연도

2017

발행기관

Elsevier

ISSN

1226-086x

ISSN

1876-794x

51

페이지

pp.303-311

주제어

Alkali; Biomass; Lignocellulose; Optimization; Pretreatment

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1 2023-12-11

논문; 2017-07-01

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