Abstract
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.
| Original language | American English |
|---|---|
| State | Published - 2015 |
NREL Publication Number
- NREL/FS-5100-64829
Keywords
- Alliance S&T board meeting
- biomass
- chemical composition
- enzymatic hydrolysis
- feedstocks
- NREL
- soluble
- spectroscopy