Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting
• Thông tin xuất bản: Golden, Colo. : Oak Ridge, Tenn. : National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2013
• Mô tả vật lý: Size: 14 pp. : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 265152
• Chủ đề: 1. 09 biomass fuels; 2. 59 basic biological sciences; 3. Biofuels; 4. Cellulosic biomass; 5. Compositional analysis

Tóm tắt

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.