Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy
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 NIR spectrometers and two different sample geometries on the same spectrometer did not vary greatly.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy Biomass Program
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1071953
- Report Number(s):
- NREL/TP-5100-56838
- Country of Publication:
- United States
- Language:
- English
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