High-throughput analysis of chemical components and theoretical ethanol yield of dedicated bioenergy sorghum using dual-optimized partial least squares calibration models

High-throughput analysis of chemical components and theoretical ethanol yield of dedicated bioenergy sorghum using dual-optimized partial least squares calibration models

Abstract Background Due to its chemical composition and abundance, lignocellulosic biomass is an attractive feedstock source for global bioenergy production. However, chemical composition variations interfere with the success of any single methodology for efficient bioenergy extraction from diverse...

Full description

Bibliographic Details
Main Authors: Meng Li, Jun Wang, Fu Du, Boubacar Diallo, Guang Hui Xie
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Biotechnology for Biofuels
Subjects:
Bioenergy sorghum
Near infrared spectroscopy
Linear discriminant analysis model
Chemical components
Theoretical ethanol yield
Optimal sample subset partitioning
Online Access:http://link.springer.com/article/10.1186/s13068-017-0892-z

Internet

http://link.springer.com/article/10.1186/s13068-017-0892-z

Similar Items