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Title: New NIR Calibration Models Speed Biomass Composition and Reactivity Characterization

Obtaining accurate chemical composition and reactivity (measures of carbohydrate release and yield) information for biomass feedstocks in a timely manner is necessary for the commercialization of biofuels. This highlight describes NREL's work to use near-infrared (NIR) spectroscopy and partial least squares multivariate analysis to develop calibration models to predict the feedstock composition and the release and yield of soluble carbohydrates generated by a bench-scale dilute acid pretreatment and enzymatic hydrolysis assay. This highlight is being developed for the September 2015 Alliance S&T Board meeting.
Publication Date:
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Research Org:
NREL (National Renewable Energy Laboratory (NREL)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Biomass Program
Country of Publication:
United States
09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; Biomass; Chemical composition; NREL; Soluble; Feedstocks; Spectroscopy; Enzymatic hydrolysis; Alliance S&T Board meeting