skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Compositional analysis of biomass reference materials: Results from an interlaboratory study

Journal Article · · BioEnergy Research
 [1];  [1];  [2];  [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. National Institute of Standards and Technology, Gaithersburg, MD (United States)

Biomass compositional methods are used to compare different lignocellulosic feedstocks, to measure component balances around unit operations and to determine process yields and therefore the economic viability of biomass-to-biofuel processes. Four biomass reference materials (RMs NIST 8491–8494) were prepared and characterized, via an interlaboratory comparison exercise in the early 1990s to evaluate biomass summative compositional methods, analysts, and laboratories. Having common, uniform, and stable biomass reference materials gives the opportunity to assess compositional data compared to other analysts, to other labs, and to a known compositional value. The expiration date for the original characterization of these RMs was reached and an effort to assess their stability and recharacterize the reference values for the remaining material using more current methods of analysis was initiated. We sent samples of the four biomass RMs to 11 academic, industrial, and government laboratories, familiar with sulfuric acid compositional methods, for recharacterization of the component reference values. In this work, we have used an expanded suite of analytical methods that are more appropriate for herbaceous feedstocks, to recharacterize the RMs’ compositions. We report the median values and the expanded uncertainty values for the four RMs on a dry-mass, whole-biomass basis. The original characterization data has been recalculated using median statistics to facilitate comparisons with this data. We found improved total component closures for three out of the four RMs compared to the original characterization, and the total component closures were near 100 %, which suggests that most components were accurately measured and little double counting occurred. Here, the major components were not statistically different in the recharacterization which suggests that the biomass materials are stable during storage and that additional components, not seen in the original characterization, were quantified here.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1240081
Report Number(s):
NREL/JA-5100-64070
Journal Information:
BioEnergy Research, Vol. 9, Issue 1; Related Information: BioEnergy Research; ISSN 1939-1234
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 25 works
Citation information provided by
Web of Science

References (19)

Biomass Recalcitrance: Engineering Plants and Enzymes for Biofuels Production journal February 2007
Assessing corn stover composition and sources of variability via NIRS journal June 2009
Process and technoeconomic analysis of leading pretreatment technologies for lignocellulosic ethanol production using switchgrass journal December 2011
Uncertainty in techno-economic estimates of cellulosic ethanol production due to experimental measurement uncertainty journal January 2012
The Path Forward for Biofuels and Biomaterials journal January 2006
Effect of corn stover compositional variability on minimum ethanol selling price (MESP) journal July 2013
Robust statistics–how not to reject outliers. Part 1. Basic concepts journal January 1989
An overview of second generation biofuel technologies journal March 2010
Compositional Analysis of Lignocellulosic Feedstocks. 2. Method Uncertainties journal August 2010
Genomics of cellulosic biofuels journal August 2008
Toward a Systems Approach to Understanding Plant Cell Walls journal December 2004
Deconstruction of Lignocellulosic Biomass to Fuels and Chemicals journal July 2011
Process Design and Economics for Biochemical Conversion of Lignocellulosic Biomass to Ethanol: Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover report March 2011
Lignocellulosic Biomass to Ethanol Process Design and Economics Utilizing Co-Current Dilute Acid Prehydrolysis and Enzymatic Hydrolysis for Corn Stover report June 2002
Compositional Analysis of Lignocellulosic Feedstocks. 1. Review and Description of Methods
  • Sluiter, Justin B.; Ruiz, Raymond O.; Scarlata, Christopher J.
  • Journal of Agricultural and Food Chemistry, Vol. 58, Issue 16, p. 9043-9053 https://doi.org/10.1021/jf1008023
journal August 2010
Robust statistics–how not to reject outliers. Part 2. Inter-laboratory trials journal January 1989
Process and economic analysis of pretreatment technologies journal December 2005
Standardized analytical methods journal January 1992
Methods for Biomass Compositional Analysis text January 2013

Cited By (5)

Forest-based resources as fillers in biobased polyurethane foams
  • de Avila Delucis, Rafael; Magalhães, Washington Luiz Esteves; Petzhold, Cesar Liberato
  • Journal of Applied Polymer Science, Vol. 135, Issue 3 https://doi.org/10.1002/app.45684
journal September 2017
Carbon dynamics of paper, engineered wood products and bamboo in landfills: evidence from reactor studies journal December 2018
Enabling community-based metrology for wood-degrading fungi journal March 2020
Valorization of Tomato Processing Residues Through the Production of Active Bio-Composites for Packaging Applications journal March 2019
Undefined cellulase formulations hinder scientific reproducibility journal November 2017