New NIR Calibration Models Speed Biomass Composition and Reactivity Characterization [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 621.47 Solar-energy engineering
• 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, 2015
• Mô tả vật lý: Size: 1 pg. : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 264759
• Chủ đề: 1. 09 biomass fuels; 2. 59 basic biological sciences; 3. Biomass; 4. Chemical composition; 5. Nrel

Tóm tắt

Obtaining accurate chemical composition and reactivity (measures of carbohydrate release and yield) information for biomass feedstocks in a timely manner is necessary for the commercialization of biofuels. This highlight describes NREL's work to use near-infrared (NIR) spectroscopy and partial least squares multivariate analysis to develop calibration models to predict the feedstock composition and the release and yield of soluble carbohydrates generated by a bench-scale dilute acid pretreatment and enzymatic hydrolysis assay. This highlight is being developed for the September 2015 Alliance S&T Board meeting.