Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy

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

关键词: BIOFUELS;    CELLULOSIC BIOMASS;    COMPOSITIONAL ANALYSIS;    NIR SPECTROSCOPY;    SORGHUM;    MULTIVARIATE CALIBRATION MODEL;    Bioenergy;   

DOI  :  10.2172/1071953
RP-ID  :  NREL/TP-5100-56838
PID  :  OSTI ID: 1071953

美国|英语

来源: SciTech Connect

【 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.