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 journalArticlepeer-review

24 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 16 h with 19% NH3 (NH3-pretreatment) and 70 °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.

Original languageEnglish
Pages (from-to)303-311
Number of pages9
JournalJournal of Industrial and Engineering Chemistry
Volume51
DOIs
Publication statusPublished - 2017 Jul 25

Keywords

  • Alkali
  • Biomass
  • Lignocellulose
  • Optimization
  • Pretreatment

ASJC Scopus subject areas

  • Chemical Engineering(all)

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