Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy

Wolfrum, E. ; Payne, C. ; Stefaniak, T. ; Rooney, W. ; Dighe, N. ; Bean, B. ; Dahlberg, J.

National Renewable Energy Laboratory (U.S.)

关键词: Cellulosic Biomass;    Multivariate Calibration Model;    59 Basic Biological Sciences Biofuels;    Nir Spectroscopy;    Compositional Analysis;   

DOI  :  10.2172/1071953
RP-ID  :  NREL/TP-5100-56838
RP-ID  :  AC36-08GO28308
RP-ID  :  1071953

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.