Hoover / Py / National Renewable Energy Laboratory / Creative Commons / characterized using Py-mbms / /
Country
Lebanon / / /
Facility
Plant Sci / Plant Biophysics / North Carolina State University / Plant Science ISSN / Partial Least Square / /
IndustryTerm
through-put technologies / chemical/thermal/biological treatments / important biomass chemical structures / low-energy electron beam / chemical features / possible chemical functional groups / torrefaction products / biomass chemical structures / chemical fragments / chemical products / conventional chemical methods / wet chemical techniques / online monitoring / data processing algorithms / argon gas stream / multivariate analysis tools / manufacturing processes / chemical structures / energy / Chemical/physical information / renewable energy production / degradative chemical treatment / chemical composition / chemical properties / spectroscopic tools / energy conversion / multivariate tools / important chemical structure biomass / important chemical features / biomass chemical composition / computer acquisition software / analytical tool / chemical structure / chemical insight / animal food / chemical bonds / phenolysis products / /
MarketIndex
set 235 / /
NaturalFeature
Forest Biomaterials / /
Organization
Department of Forest Biomaterials / North Carolina State University / Raleigh / /
Person
Alma / Hui Wei / Kelley / Michael E. Himmel / Chen / Jin / Hasan Jameel / Philip Ye / Van Soest / /
Position
author / Workman / representative / /
ProvinceOrState
Maine / North Carolina / Colorado / Arkansas / /
Technology
genetic engineering / high through-put technologies / HTML / process control / PDF / Biomaterials / data processing algorithms / spectroscopy / /
Plant Biophysics and Modeling NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique : a review Li Xiao, Hui Wei, Michael E. Himmel, Hasan Jameel and Stephen S. K