期刊
JOURNAL OF INTEGRATIVE PLANT BIOLOGY
卷 53, 期 2, 页码 166-175出版社
WILEY
DOI: 10.1111/j.1744-7909.2010.01003.x
关键词
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资金
- Chinese Academy of Sciences [KSCX2-YW-G-033, KSCX2-YW-N-070]
- Ministry of Science and Technology of China [2009AA10Z101]
Rapid determination of the properties of lignocellulosic material is highly desirable for biomass production and utilization. In the present study, measurements of woody biomass digestibility and chemical composition using near-infrared reflectance (NIR) spectroscopy were calibrated. Poplar and eucalyptus materials were recorded in NIR spectrum as well as determined for their chemical compositions of Klason lignin, alpha-cellulose, holocellulose, lignin syringyl/guaiacyl (S/G) ratio and enzymatic digestibility. Fitting of the NIR information with chemical properties and digestibility by partial least-squares (PLS) regression generated a group of trained NIR models that were able to be used for rapid biomass measurement. Applying the models for woody biomass measurements led to a reliable evaluation of the chemical composition and digestibility, suggesting the feasibility of using NIR spectroscopy in the rapid characterization of biomass properties.
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