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
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