NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique : a review

NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique : a review

Optimizing the use of lignocellulosic biomass as the feedstock for renewable energy production is currently being developed globally. Biomass is a complex mixture of cellulose, hemicelluloses, lignins, extractives, and proteins; as well as inorganic salts. Cell wall compositional analysis for biomas...

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Bibliographic Details
Main Authors: Li eXiao, Hui eWei, Michael E. Himmel, Hasan eJameel, Stephen S. Kelley
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Plant Science
Subjects:
Cellulose
Lignin
Mass Spectrometry
biomass
high throughput
Infrared Spectroscopy
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00388/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00388/full

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