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Title: Parametric study for the optimization of ionic liquid pretreatment of corn stover

Abstract

A parametric study of the efficacy of the ionic liquid (IL) pretreatment (PT) of corn stover (CS) using 1-ethyl-3-methylimidazolium acetate ([C 2C 1Im][OAc] ) and cholinium lysinate ([Ch][Lys] ) was conducted. The impact of 50% and 15% biomass loading for milled and non-milled CS on IL-PT was evaluated, as well the impact of 20 and 5 mg enzyme/g glucan on saccharification efficiency. The glucose and xylose released were generated from 32 conditions – 2 ionic liquids (ILs), 2 temperatures, 2 particle sizes (S), 2 solid loadings, and 2 enzyme loadings. Statistical analysis indicates that sugar yields were correlated with lignin and xylan removal and depends on the factors, where S did not explain variation in sugar yields. Both ILs were effective in pretreating large particle sized CS, without compromising sugar yields. The knowledge from material and energy balances is an essential step in directing optimization of sugar recovery at desirable process conditions.

Authors:
 [1];  [2];  [2];  [3];  [2];  [1]
  1. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  3. Univ. degli Studi di Milano (Italy)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1393253
DOE Contract Number:
AC02-05CH11231
Resource Type:
Journal Article
Resource Relation:
Journal Name: Bioresource Technology; Journal Volume: 241; Journal Issue: C
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; Corn stover; Ionic liquid pretreatment; Particle size; Mass balance; Pretreatment efficiency

Citation Formats

Papa, Gabriella, Feldman, Taya, Sale, Kenneth L., Adani, Fabrizio, Singh, Seema, and Simmons, Blake A. Parametric study for the optimization of ionic liquid pretreatment of corn stover. United States: N. p., 2017. Web. doi:10.1016/j.biortech.2017.05.167.
Papa, Gabriella, Feldman, Taya, Sale, Kenneth L., Adani, Fabrizio, Singh, Seema, & Simmons, Blake A. Parametric study for the optimization of ionic liquid pretreatment of corn stover. United States. doi:10.1016/j.biortech.2017.05.167.
Papa, Gabriella, Feldman, Taya, Sale, Kenneth L., Adani, Fabrizio, Singh, Seema, and Simmons, Blake A. Tue . "Parametric study for the optimization of ionic liquid pretreatment of corn stover". United States. doi:10.1016/j.biortech.2017.05.167.
@article{osti_1393253,
title = {Parametric study for the optimization of ionic liquid pretreatment of corn stover},
author = {Papa, Gabriella and Feldman, Taya and Sale, Kenneth L. and Adani, Fabrizio and Singh, Seema and Simmons, Blake A.},
abstractNote = {A parametric study of the efficacy of the ionic liquid (IL) pretreatment (PT) of corn stover (CS) using 1-ethyl-3-methylimidazolium acetate ([C2C1Im][OAc] ) and cholinium lysinate ([Ch][Lys] ) was conducted. The impact of 50% and 15% biomass loading for milled and non-milled CS on IL-PT was evaluated, as well the impact of 20 and 5 mg enzyme/g glucan on saccharification efficiency. The glucose and xylose released were generated from 32 conditions – 2 ionic liquids (ILs), 2 temperatures, 2 particle sizes (S), 2 solid loadings, and 2 enzyme loadings. Statistical analysis indicates that sugar yields were correlated with lignin and xylan removal and depends on the factors, where S did not explain variation in sugar yields. Both ILs were effective in pretreating large particle sized CS, without compromising sugar yields. The knowledge from material and energy balances is an essential step in directing optimization of sugar recovery at desirable process conditions.},
doi = {10.1016/j.biortech.2017.05.167},
journal = {Bioresource Technology},
number = C,
volume = 241,
place = {United States},
year = {Tue May 30 00:00:00 EDT 2017},
month = {Tue May 30 00:00:00 EDT 2017}
}