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

doi:10.1016/j.jiec.2017.03.018

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

Department of Chemical and Biological Engineering

Research output: Contribution to journal › Article › peer-review

30 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 language	English
Pages (from-to)	303-311
Number of pages	9
Journal	Journal of Industrial and Engineering Chemistry
Volume	51
DOIs	https://doi.org/10.1016/j.jiec.2017.03.018
Publication status	Published - 2017 Jul 25

Keywords

Alkali
Biomass
Lignocellulose
Optimization
Pretreatment

ASJC Scopus subject areas

Chemical Engineering(all)

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10.1016/j.jiec.2017.03.018

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

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.",

keywords = "Alkali, Biomass, Lignocellulose, Optimization, Pretreatment",

author = "Yoo, {Hah Young} and Lee, {Ja Hyun} and Kim, {Dong Sup} and Lee, {Ju Hun} and Lee, {Soo Kweon} and Lee, {Sang Jun} and Chulhwan Park and Kim, {Seung Wook}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (No. 2014R1A2A2A01007322) and the Industrial Strategic Technology Development Program (10051513) funded by the Ministry of Trade, Industry & Energy (MI, Korea).",

year = "2017",

month = jul,

day = "25",

doi = "10.1016/j.jiec.2017.03.018",

language = "English",

volume = "51",

pages = "303--311",

journal = "Journal of Industrial and Engineering Chemistry",

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T1 - Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models

AU - Yoo, Hah Young

AU - Lee, Ja Hyun

AU - Kim, Dong Sup

AU - Lee, Ju Hun

AU - Lee, Soo Kweon

AU - Lee, Sang Jun

AU - Park, Chulhwan

AU - Kim, Seung Wook

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (No. 2014R1A2A2A01007322) and the Industrial Strategic Technology Development Program (10051513) funded by the Ministry of Trade, Industry & Energy (MI, Korea).

PY - 2017/7/25

Y1 - 2017/7/25

N2 - 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.

AB - 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.

KW - Alkali

KW - Biomass

KW - Lignocellulose

KW - Optimization

KW - Pretreatment

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DO - 10.1016/j.jiec.2017.03.018

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SN - 1226-086X

VL - 51

SP - 303

EP - 311

JO - Journal of Industrial and Engineering Chemistry

JF - Journal of Industrial and Engineering Chemistry

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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