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Author Wolfrum, E., author.

Title Multivariate calibration models for sorghum composition using near-infrared spectroscopy [electronic resource] / E. Wolfrum [and six others].

Publication Info. Golden, Colorado : National Renewable Energy Laboratory, 2013.
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Connect to https://www.nrel.gov/docs/fy13osti/56838.pdf
Connect to https://www.nrel.gov/docs/fy13osti/56838.pdf

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  E 9.16:NREL/TP-5100-56838    ---  Available
Description 1 online resource (v, 8 pages) : color illustrations.
text rdacontent
computer rdamedia
online resource rdacarrier
Series NREL/TP ; 5100-56838
NREL/TP ; 5100-56838.
Note Title from PDF title screen (viewed on Aug. 6, 2013).
"March 2013."
Bibliography Includes bibliographical references (pages 7-8).
Type Of Report Technical report.
Summary 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.
Funding Sponsored by National Renewable Energy Laboratory contract no. DE-AC36-08GO28308; prepared under task no. BB07.2510
Subject Sorghum -- Research.
Multivariate analysis.
Infrared spectroscopy.
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
Gpo Item No. 0430-P-03 (online)
Sudoc No. E 9.16:NREL/TP-5100-56838

 
    
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