Near-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samples: corn stover, switchgrass, mixed hardwoods, mixed softwoods, sorghum, and miscanthus. These samples may be feedstock samples, washed and dried solids from one or more pretreatment processes, liquors derived from one or more pretreatment processes, or whole pretreated slurries.
1 Data Resource
|Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass||0 KB||Website||Use this link to contact licensing officer.|
• Nov • 22 2019
National Renewable Energy Laboratory
Cite This Dataset
Wolfrum, Edward. 2019. "Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass." NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: September 16, 2022. DOI: 10.7799/1575072.
About This Dataset
Data Sets for Biomass Samples
Biomass & Biosciences Research (BBR)
Department of Energy (DOE)
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
Digital Object Identifier