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Title: Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar

Abstract

When applied to recalcitrant lignocellulosic feedstocks, multi-stage pretreatments can provide more processing flexibility to optimize or balance process outcomes such as increasing delignification, preserving hemicellulose, and maximizing enzymatic hydrolysis yields. We previously reported that adding an alkaline pre-extraction step to a copper-catalyzed alkaline hydrogen peroxide (Cu-AHP) pretreatment process resulted in improved sugar yields, but the process still utilized relatively high chemical inputs (catalyst and H 2O 2) and enzyme loadings. We hypothesized that by increasing the temperature of the alkaline pre-extraction step in water or ethanol, we could reduce the inputs required during Cu-AHP pretreatment and enzymatic hydrolysis without significant loss in sugar yield. We also performed technoeconomic analysis to determine if ethanol or water was the more cost-effective solvent during alkaline pre-extraction and if the expense associated with increasing the temperature was economically justified. After Cu-AHP pretreatment of 120 °C NaOH-H 2O pre-extracted and 120 °C NaOH-EtOH pre-extracted biomass, approximately 1.4-fold more total lignin was solubilized (78% and 74%, respectively) compared to the 30 °C NaOH-H 2O pre-extraction (55%) carried out in a previous study. Consequently, increasing the temperature of the alkaline pre-extraction step to 120 °C in both ethanol and water allowed us to decrease bipyridine and Hmore » 2O 2 during Cu-AHP and enzymes during hydrolysis with only a small reduction in sugar yields compared to 30 °C alkaline pre-extraction. Technoeconomic analysis indicated that 120 °C NaOH-H 2O pre-extraction has the lowest installed ($246 million) and raw material (175 million) costs compared to the other process configurations. We found that by increasing the temperature of the alkaline pre-extraction step, we could successfully lower the inputs for pretreatment and enzymatic hydrolysis. Based on sugar yields as well as capital, feedstock, and operating costs, 120 °C NaOH-H 2O pre-extraction was superior to both 120 °C NaOH-EtOH and 30 °C NaOH-H 2O pre-extraction.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [3]; ORCiD logo [4];  [1];  [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [1]
  1. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Biochemistry & Molecular Biology
  2. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Biosystems & Agricultural Engineering
  3. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center
  4. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Chemical Engineering & Materials Science
  5. Michigan State Univ., East Lansing, MI (United States). Dept. of Biochemistry & Molecular Biology
  6. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Biosystems & Agricultural Engineering. Dept. of Chemical Engineering & Materials Science
  7. Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Biosystems & Agricultural Engineering. Dept. of Chemical Engineering & Materials Science; Luleå Univ. of Technology (Sweden). Division of Sustainable Process Engineering
Publication Date:
Research Org.:
Michigan State Univ., East Lansing, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); USDA National Inst. of Food and Agriculture (NIFA)
OSTI Identifier:
1438170
Grant/Contract Number:
SC0018409; FC02-07ER64494; MICL02289
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Biotechnology for Biofuels
Additional Journal Information:
Journal Volume: 11; Journal ID: ISSN 1754-6834
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; alkaline hydrogen peroxide (AHP); biofuels; copper; hybrid poplar; lignin; lignocellulosic biomass; oxidative delignification; technoeconomic analysis (TEA)

Citation Formats

Bhalla, Aditya, Fasahati, Peyman, Particka, Chrislyn A., Assad, Aline E., Stoklosa, Ryan J., Bansal, Namita, Semaan, Rachel, Saffron, Christopher M., Hodge, David B., and Hegg, Eric L.. Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar. United States: N. p., 2018. Web. doi:10.1186/s13068-018-1124-x.
Bhalla, Aditya, Fasahati, Peyman, Particka, Chrislyn A., Assad, Aline E., Stoklosa, Ryan J., Bansal, Namita, Semaan, Rachel, Saffron, Christopher M., Hodge, David B., & Hegg, Eric L.. Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar. United States. doi:10.1186/s13068-018-1124-x.
Bhalla, Aditya, Fasahati, Peyman, Particka, Chrislyn A., Assad, Aline E., Stoklosa, Ryan J., Bansal, Namita, Semaan, Rachel, Saffron, Christopher M., Hodge, David B., and Hegg, Eric L.. Thu . "Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar". United States. doi:10.1186/s13068-018-1124-x. https://www.osti.gov/servlets/purl/1438170.
@article{osti_1438170,
title = {Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar},
author = {Bhalla, Aditya and Fasahati, Peyman and Particka, Chrislyn A. and Assad, Aline E. and Stoklosa, Ryan J. and Bansal, Namita and Semaan, Rachel and Saffron, Christopher M. and Hodge, David B. and Hegg, Eric L.},
abstractNote = {When applied to recalcitrant lignocellulosic feedstocks, multi-stage pretreatments can provide more processing flexibility to optimize or balance process outcomes such as increasing delignification, preserving hemicellulose, and maximizing enzymatic hydrolysis yields. We previously reported that adding an alkaline pre-extraction step to a copper-catalyzed alkaline hydrogen peroxide (Cu-AHP) pretreatment process resulted in improved sugar yields, but the process still utilized relatively high chemical inputs (catalyst and H2O2) and enzyme loadings. We hypothesized that by increasing the temperature of the alkaline pre-extraction step in water or ethanol, we could reduce the inputs required during Cu-AHP pretreatment and enzymatic hydrolysis without significant loss in sugar yield. We also performed technoeconomic analysis to determine if ethanol or water was the more cost-effective solvent during alkaline pre-extraction and if the expense associated with increasing the temperature was economically justified. After Cu-AHP pretreatment of 120 °C NaOH-H2O pre-extracted and 120 °C NaOH-EtOH pre-extracted biomass, approximately 1.4-fold more total lignin was solubilized (78% and 74%, respectively) compared to the 30 °C NaOH-H2O pre-extraction (55%) carried out in a previous study. Consequently, increasing the temperature of the alkaline pre-extraction step to 120 °C in both ethanol and water allowed us to decrease bipyridine and H2O2 during Cu-AHP and enzymes during hydrolysis with only a small reduction in sugar yields compared to 30 °C alkaline pre-extraction. Technoeconomic analysis indicated that 120 °C NaOH-H2O pre-extraction has the lowest installed ($246 million) and raw material (175 million) costs compared to the other process configurations. We found that by increasing the temperature of the alkaline pre-extraction step, we could successfully lower the inputs for pretreatment and enzymatic hydrolysis. Based on sugar yields as well as capital, feedstock, and operating costs, 120 °C NaOH-H2O pre-extraction was superior to both 120 °C NaOH-EtOH and 30 °C NaOH-H2O pre-extraction.},
doi = {10.1186/s13068-018-1124-x},
journal = {Biotechnology for Biofuels},
number = ,
volume = 11,
place = {United States},
year = {Thu May 17 00:00:00 EDT 2018},
month = {Thu May 17 00:00:00 EDT 2018}
}

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