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Quantifying Actual And Theoretical Ethanol Yields For Switchgrass Strains Using NIRS Analyses

K. Vogel, B. Dien, H. Jung, M. Casler, S. Masterson, R. Mitchell
Published 2010 · Biology

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Quantifying actual and theoretical ethanol yields from biomass conversion processes such as simultanteous saccharification and fermentation (SSF) requires expensive, complex fermentation assays, and extensive compositional analyses of the biomass sample. Near-infrared reflectance spectroscopy (NIRS) is a non-destructive technology that can be used to obtain rapid, low-cost, high-throughput, and accurate estimates of agricultural product composition. In this study, broad-based NIRS calibrations were developed for switchgrass biomass that can be used to estimate over 20 components including cell wall and soluble sugars and also ethanol production and pentose sugars released as measured using a laboratory SSF procedure. With this information, an additional 13 complex feedstock traits can be determined including theoretical and actual ethanol yields from hexose fermentation. The NIRS calibrations were used to estimate feedstock composition and conversion information for biomass samples from a multi-year switchgrass (Panicum virgatum L.) biomass cultivar evaluation trial. There were significant differences among switchgrass strains for all biomass conversion and composition traits including actual ethanol yields, ETOHL (L Mg−1) and theoretical ethanol yields, ETOHTL (L Mg−1), based on cell wall and non-cell wall composition NIRS analyses. ETOHL means ranged from 98 to 115 L Mg−1 while ETOHTL means ranged from 203 to 222 L Mg−1. Because of differences in both biomass yields and conversion efficiency, there were significant differences among strains for both actual (2,534–3,720 L ha−1) and theoretical (4,878–7,888 L ha−1) ethanol production per hectare. It should be feasible to improve ethanol yields per hectare by improving both biomass yield and conversion efficiency by using NIRS analyses to quantify differences among cultivars and management practices.
This paper references
SSF Experimental Protocols-Lignocellulosic Biomass Hydrolysis and Fermentation; Laboratory Analytical Procedure (LAP)
N Dowe
10.2135/CROPSCI1999.0011183X003900010042X
Evaluation of a Filter Bag System for NDF, ADF, and IVDMD Forage Analysis
K. Vogel (1999)
Comparison of corn and switchgrass on marginal soils for bioenergy
K. P. Vogela (2007)
SSF Experimental Protocols— Lignocellulosic Biomass Hydrolysis and Fermentation; Laboratory Analytical Procedure (LAP). National Renewable Energy Laboratory, NREL/TP-510-42630
N Dowe (2001)
10.1002/9780470750025.CH11
Mass Balances and Analytical Methods for Biomass Pretreatment Experiments
B. Dien (2010)
10.2135/CROPSCI1991.0011183X003100020049X
Population Definition, Sample Selection, and Calibration Procedures for Near Infrared Reflectance Spectroscopy
John S. Shenk (1991)
10.1016/S0961-9534(96)00039-6
Compositional analysis of biomass feedstocks by near infrared reflectance spectroscopy
M. Sanderson (1996)
10.1128/AEM.02302-06
Genetic Engineering of Zymobacter palmae for Production of Ethanol from Xylose
H. Yanase (2007)
Chemistry and Biochemistry of Herbage
G. Butler (1973)
Analysis of energy traits of Populus spp . clones by near - infrared spectroscopy
MC Maranan (2007)
10.1016/S0735-2689(01)80011-3
Genetic Modification of Herbaceous Plants for Feed and Fuel
K. Vogel (2001)
Fat (crude) or ether extract in animal feed. Method 920.39
JM Padmore (1990)
10.2136/sssabookser3.3ed.c26
Analytical instruments for soil and plant analysis.
M. E. Watson (1990)
Nitrogen - Total
JM Bremner (1996)
10.2135/CROPSCI2004.2930
Latitudinal Adaptation of Switchgrass Populations
M. Casler (2004)
10.1016/0031-9422(90)80009-6
Phenolic acid bridges between polysaccharides and lignin in wheat internodes
K. Iiyama (1990)
In Westerman R (ed) Soil testing and plant analysis
M E Watson (1990)
10.2134/AGRONJ1991.00021962008300060027X
Describing and Quantifying Growth Stages of Perennial Forage Grasses
K. Moore (1991)
10.1002/CEM.1180010107
Multi‐way principal components‐and PLS‐analysis
S. Wold (1987)
10.2136/sssabookser5.3
Methods of soil analysis. Part 3 - chemical methods.
D. Sparks (1996)
10.1093/JAOAC/78.4.1030
Total dietary fiber determined as neutral sugar residues, uronic acid residues, and Klason lignin (the Uppsala method): collaborative study.
O. Theander (1995)
Williams P, Norris K (eds) Nearinfrared technology in the agriculture and food industries
Williams PC Variables affecting near-infrared reflectance s In (2011)
10.1007/978-1-4612-0057-4_1
Rapid biomass analysis
B. Hames (2003)
Protein (crude) in animal feed Dumas method. Method 968.06
JM Padmore (1990)
10.1126/SCIENCE.1137016
Biomass Recalcitrance: Engineering Plants and Enzymes for Biofuels Production
M. Himmel (2007)
Variables affecting near - infrared reflectance spectroscopic analysis
PC Williams (1987)
The nonstructural carbohydrates
D Smith (1973)
Analysis of energy traits of Populus spp . clones by near - infrared spectroscopy
BR Hames (2007)
10.1007/978-1-4419-1318-0_4
Help and Documentation
R. Muenchen (2010)
10.2134/AGRONJ2002.0413
Switchgrass biomass production in the Midwest USA: harvest and nitrogen management.
K. Vogel (2002)
10.1038/045578a0
Quantitative analysis
J. R. (1892)
10.1201/9781420019407.ch4
Sample preparation.
Y. Chen (2008)
Protein (crude) in animal feed Dumas method. Method 968.06. In: Herlich K (eds) Official methods of analysis of Association of Official Analytical Chemists
J M Padmore (1990)
10.2134/agronmonogr44
Near-infrared spectroscopy in agriculture
C. Roberts (2004)
Rapid biomass analysis—new tools for compositional analysis of corn stover feedstocks and process intermediates from ethanol production
BR Hames (2003)
Nitrogen - Total . p . 1085 – 1121
JM Bremner (1996)
10.1002/9780470750025
Biomass to Biofuels: Strategies for Global Industries
A. Vertès (2011)
10.2135/CROPSCI2008.02.0117
Heterosis in Switchgrass: Biomass Yield in Swards
K. Vogel (2008)
10.4135/9781608712434.n1307
A Quantitative Analysis
P. Pochet (2006)
10.1016/0169-7439(89)80111-X
Nonlinear PLS modeling
S. Wold (1989)
10.2135/CROPSCI2008.06.0306
Characterization, Genetic Variation, and Combining Ability of Maize Traits Relevant to the Production of Cellulosic Ethanol
A. Lorenz (2009)
10.2135/CROPSCI2006.10.0665
Alfalfa Leaf Protein and Stem Cell Wall Polysaccharide Yields under Hay and Biomass Management Systems
J. F. S. Lamb (2007)
10.1111/J.1745-4514.1978.TB00193.X
A SIMPLIFIED METHOD FOR ACCURATE DETERMINATION OF CELL WALL URONIDE CONTENT
A. Ahmed (1977)
10.1021/JF00092A012
Variation in the extractability of esterified p-coumaric and ferulic acids from forage cell walls.
H. Jung (1990)
10.2135/CROPSCI2009.04.0182
Quantitative Trait Loci and Trait Correlations for Maize Stover Cell Wall Composition and Glucose Release for Cellulosic Ethanol
Robenzon E. Lorenzana (2010)
Fat (crude) or ether extract in animal feed. Method 920.39. In: Herlich K (ed)
J M Padmore (1990)
Nearinfrared spectroscopy in agriculture
CA Roberts (2004)
10.1385/ABAB:115:1-3:0937
Fermentation of “Quick Fiber” produced from a modified corn-milling process into ethanol and recovery of corn fiber oil
B. Dien (2004)
10.1016/J.BIOMBIOE.2006.02.004
Chemical composition and response to dilute-acid pretreatment and enzymatic saccharification of alfalfa, reed canarygrass, and switchgrass
B. Dien (2006)



This paper is referenced by
The creation and role of the USDA biomass research centers.
W. F. Anderson (2011)
10.1371/journal.pone.0089501
Energy Potential and Greenhouse Gas Emissions from Bioenergy Cropping Systems on Marginally Productive Cropland
M. Schmer (2014)
Exploring the Biomass Recalcitrance of Douglas Fir for Improving Bioproducts and Biofuels Production
Scott Geleynse (2017)
10.1111/gcbb.12321
Plant roots and GHG mitigation in native perennial bioenergy cropping systems
Jacob M. Jungers (2017)
SWITCHGRASS YIELD AND QUALITY WITH MULTIPLE FERTILIZER APPLICATIONS AND HARVEST DATES
Thomas Clarkson Keene (2014)
10.2134/AGRONJ2011.0195
Temporal and spatial variation in switchgrass biomass composition and theoretical ethanol yield.
M. Schmer (2012)
10.1016/J.BIOMBIOE.2018.04.016
Using remote sensing to estimate forage biomass and nutrient contents at different growth stages
Lingjie Zeng (2018)
10.1007/s12155-019-10081-y
Nitrogen Demand Associated with Increased Biomass Yield of Switchgrass and Big Bluestem: Implications for Future Breeding Strategies
M. D. Casler (2019)
10.1371/journal.pone.0023980
Chloroplast Genome Variation in Upland and Lowland Switchgrass
H. A. Young (2011)
10.1371/journal.pone.0047204
Modeling Analysis on Germination and Seedling Growth Using Ultrasound Seed Pretreatment in Switchgrass
Q. Wang (2012)
10.1177/0734242X13517417
Biogas production from Pongamia biomass wastes and a model to estimate biodegradability from their composition
Victor Nallathambi Gunaseelan (2014)
10.4236/AJAC.2017.87035
Analysis of Various Quality Attributes of Sunflower and Soybean Plants by Near Infrared Reflectance Spectroscopy: Development and Validation Calibration Models
Uttam K. Saha (2017)
10.1007/s12155-016-9795-2
Generation of Octaploid Switchgrass by Seedling Treatment with Mitotic Inhibitors
Sangwoong Yoon (2016)
10.1371/journal.pone.0112227
Accelerating the Switchgrass (Panicum virgatum L.) Breeding Cycle Using Genomic Selection Approaches
A. Lipka (2014)
10.2134/AGRONJ14.0349
Biomass Yield Enhancement Required for a Replacement Switchgrass Variety
Choolwe Haankuku (2015)
10.2135/CROPSCI2012.09.0542
Switchgrass biomass composition altered by six generations of divergent breeding for digestibility.
K. Vogel (2013)
10.3389/fpls.2013.00218
Biomass for thermochemical conversion: targets and challenges
Paul Tanger (2013)
10.1016/J.EJA.2018.08.009
Perennial biomass crop establishment, community characteristics, and productivity in the upper US Midwest: Effects of cropping systems seed mixtures and biochar applications
Catherine L. Bonin (2018)
10.2134/AGRONJ14.0129
Harvest Frequency and Nitrogen Effects on Yield, Chemical Characteristics, and Nutrient Removal of Switchgrass
Ramdeo Seepaul (2014)
10.4155/bfs.12.13
Developing sugarcane lignocellulosic biorefineries: opportunities and challenges
Barrie Fong Chong (2012)
10.3835/plantgenome2018.01.0002
Candidate Variants for Additive and Interactive Effects on Bioenergy Traits in Switchgrass (Panicum virgatum L.) Identified by Genome‐Wide Association Analyses
Guillaume P Ramstein (2018)
10.1021/ACS.ENERGYFUELS.5B01259
Calibration Transfer of Near-Infrared Spectrometric Model for Calorific Value Prediction of Straw Using Different Scanning Temperatures and Accessories
Xian Liu (2015)
10.1016/J.AGEE.2016.09.041
Switchgrass composition and yield response to alternative soil amendments under intensified heat and drought conditions
Amanda J Ashworth (2016)
10.1007/s12155-016-9803-6
Impact of Harvest Time and Switchgrass Cultivar on Sugar Release Through Enzymatic Hydrolysis
Michelle J. Serapiglia (2016)
10.15376/BIORES.8.1.701-716
Determining the Potential of Inedible Weed Biomass for Bio-Energy and Ethanol Production
S. Premjet (2012)
10.1002/EP.13286
Recycling cassava stem to bioethanol by inoculating a novel xylose–glucose fermenting yeast at high initial concentration
Phan Thi Pham (2020)
10.1016/j.plaphy.2016.04.020
Analysis of salt-induced physiological and proline changes in 46 switchgrass (Panicum virgatum) lines indicates multiple response modes.
Jeongwoon Kim (2016)
10.3390/EN10111763
Optimization of Bioethanol In Silico Production Process in a Fed-Batch Bioreactor Using Non-Linear Model Predictive Control and Evolutionary Computation Techniques
H. F. S. Freitas (2017)
10.1080/17597269.2018.1442665
Assessment of microwave-assisted alkali pretreatment for the production of sugars from banana fruit peel waste
Garima Tiwari (2019)
10.2135/CROPSCI2015.03.0142
Designing selection criteria for use of reed canarygrass as a bioenergy feedstock.
M. Casler (2015)
FORAGE AND BIOMASS DUAL-PURPOSE HARVEST SYSTEM USING NATIVE WARM-SEASON GRASSES
David W. McIntosh (2013)
10.1007/S40974-018-0095-X
Ionic-liquid-mediated pretreatment and enzymatic saccharification of Prosopis sp. biomass in a consolidated bioprocess for potential bioethanol fuel production
Surbhi Vaid (2018)
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