Abstract
NREL developed calibration models based on near-infrared (NIR) spectroscopy coupled with multivariate statistics to predict compositional properties relevant to cellulosic biofuels production for a variety of sorghum cultivars. A robust calibration population was developed in an iterative fashion. The quality of models developed using the same sample geometry on two different types of NIRspectrometers and two different sample geometries on the same spectrometer did not vary greatly.
| Original language | American English |
|---|---|
| Number of pages | 14 |
| DOIs | |
| State | Published - 2013 |
NREL Publication Number
- NREL/TP-5100-56838
Keywords
- biofuels
- cellulosic biomass
- compositional analysis
- multivariate calibration model
- NIR spectroscopy
- sorghum