Sorghum pp 257-267 | Cite as

Assaying Sorghum for Fuel Production

  • Courtney Payne
  • Justin SluiterEmail author
  • Ed Wolfrum
Part of the Methods in Molecular Biology book series (MIMB, volume 1931)


The publicly available NREL suite of laboratory analytical procedures (LAPs) provides researchers with the analytical tools to determine the composition of woody and herbaceous feedstocks. Feedstock characterization includes several steps: sample preparation, starch determination, moisture analysis, ashing, extraction, and hydrolysis. These steps provide information on specific compounds and classes of compounds such as ash, protein, moisture, extractives, sucrose, starch, glucan, xylan, galactan, arabinan, acetate and lignin. Here, we describe the use of these procedures to characterize sorghum [Sorghum bicolor (L.) Moench] with specific consideration of four main sorghum types: grain, forage, sweet, and biomass, which can vary significantly in composition. Special attention is paid to the extraction and the differentiation of glucose from starch and glucan from cellulose in the hybrids with significant amounts of nonstructural carbohydrates.

Key words

Sorghum Glucan Xylan Lignin Characterization LAPs Structural carbohydrates Starch Cellulose Hemicellulose Lignocellulose Nonstructural carbohydrates 



The authors would like to acknowledge Amie Sluiter and David Templeton for their extensive contributions to the development of the original LAPs and Michelle Reed for her contributions to starch method optimization. The authors would also like to thank Jeff Dahlberg for his support of our methods. This work was supported by the U.S. Department of Energy under Contract No. DE-AC36-08GO28308 with the National Renewable Energy Laboratory. Funding provided by USDOE Office of Energy Efficiency and Renewable Energy’s BioEnergy Technologies Office.


  1. 1.
    Sluiter JB, Ruiz RO, Scarlata CJ, Sluiter AD, Templeton DW (2010) Compositional analysis of lignocellulosic feedstocks. 1. Review and description of methods. J Agric Food Chem 58:9043–9053. Scholar
  2. 2.
    National Renewable Energy Laboratory (2014) Standard procedures for biomass compositional analysis.
  3. 3.
    Templeton DW, Scarlata CJ, Sluiter JB, Wolfrum EJ (2010) Compositional analysis of lignocellulosic feedstocks. 2. Method uncertainties. J Agric Food Chem 58:9054–9062. Scholar
  4. 4.
    Rooney WL, Blumenthal J, Bean B, Mullet JE (2007) Designing sorghum as a dedicated bioenergy feedstock. Biofuels Bioprod Biorefin 1:147–157. Scholar
  5. 5.
    Stefaniak TR, Dahlberg JA, Bean BW, Dighe N, Wolfrum EJ, Rooney WL (2012) Variation in biomass composition components among forage, biomass, sorghum-sudangrass, and sweet sorghum types. Crop Sci 52:1949. Scholar
  6. 6.
    Dahlberg J, Wolfrum E, Bean B, Rooney WL (2011) Compositional and agronomic evaluation of sorghum biomass as a potential feedstock for renewable fuels. J Biobaased Mater Bioenergy 5:507–513. Scholar
  7. 7.
    Murray SC, Rooney WL, Mitchell SE, Sharma A, Klein PE, Mullet JE et al (2008) Genetic improvement of sorghum as a biofuel feedstock: II. QTL for stem and leaf structural carbohydrates. Crop Sci 48:2180. Scholar
  8. 8.
    Murray SC, Sharma A, Rooney WL, Klein PE, Mullet JE, Mitchell SE et al (2008) Genetic improvement of sorghum as a biofuel feedstock: I. QTL for stem sugar and grain nonstructural carbohydrates. Crop Sci 48:2165. Scholar
  9. 9.
    Wolfrum E, Payne C, Stefaniak T, Rooney W, Dighe N, Bean B et al (2013) Multivariate calibration models for sorghum composition using near-infrared spectroscopy. GoldenGoogle Scholar
  10. 10.
    Megazyme International (2016) Megazyme: total starch assay procedure K-TSTA.
  11. 11.
    Katahira R, Sluiter JB, Schell DJ, Davis MF (2013) Degradation of carbohydrates during dilute sulfuric acid pretreatment can interfere with lignin measurements in solid residues. J Agric Food Chem 61:3286–3292. Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.The National Renewable Energy LaboratoryGoldenUSA

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