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

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

Research output: Contribution to journalArticle

12 Citations (Scopus)

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°C for 16h with 19% NH3 (NH3-pretreatment) and 70°C for 20h 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.

Original languageEnglish
JournalJournal of Industrial and Engineering Chemistry
DOIs
Publication statusAccepted/In press - 2017 Jan 18

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Agricultural wastes
Alkalies
Glucose
Recovery
Straw
Design of experiments
Biomass

Keywords

  • Alkali
  • Biomass
  • Lignocellulose
  • Optimization
  • Pretreatment

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models. / Yoo, Hah Young; Lee, Ja Hyun; Kim, Dong Sup; Lee, Ju Hun; Lee, Soo Kweon; Lee, Sang Jun; Park, Chulhwan; Kim, Seung Wook.

In: Journal of Industrial and Engineering Chemistry, 18.01.2017.

Research output: Contribution to journalArticle

Yoo, Hah Young ; Lee, Ja Hyun ; Kim, Dong Sup ; Lee, Ju Hun ; Lee, Soo Kweon ; Lee, Sang Jun ; Park, Chulhwan ; Kim, Seung Wook. / Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models. In: Journal of Industrial and Engineering Chemistry. 2017.
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