A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Rapid characterization of biomass using fluorescence spectroscopy coupled with multivariate data analysis. II. Northern red oak (Quercus rubra)
This paper is the final part of our study into the potential use of fluorescence spectrometer coupled with multivariate data analysis as a process analytical tool for rapid characterization of a variety of biomass residues and this study focuses on Northern red oak (Quercus rubra) as a bioenergy feedstock. The results of the study showed that with the exception of holocellulose content and ash content, fluorescence spectrometer can be used to predict some chemical and physical properties of biomass relevant to its biochemical conversion into bioenergy and bioproducts. Similar near infrared (NIR) spectra-based prediction models of the same properties and population from a previous study were compared with this study. The performance of the NIR spectra-based predictive models of each property was slightly superior over the fluorescence spectra-based models even though both can be used for the same purpose. Fluorescence spectra-based prediction models of estimated holocellulose content and ash content of Northern red oak were poorly predicted with a low R2 (<0.5).
Rapid characterization of biomass using fluorescence spectroscopy coupled with multivariate data analysis. II. Northern red oak (Quercus rubra)
This paper is the final part of our study into the potential use of fluorescence spectrometer coupled with multivariate data analysis as a process analytical tool for rapid characterization of a variety of biomass residues and this study focuses on Northern red oak (Quercus rubra) as a bioenergy feedstock. The results of the study showed that with the exception of holocellulose content and ash content, fluorescence spectrometer can be used to predict some chemical and physical properties of biomass relevant to its biochemical conversion into bioenergy and bioproducts. Similar near infrared (NIR) spectra-based prediction models of the same properties and population from a previous study were compared with this study. The performance of the NIR spectra-based predictive models of each property was slightly superior over the fluorescence spectra-based models even though both can be used for the same purpose. Fluorescence spectra-based prediction models of estimated holocellulose content and ash content of Northern red oak were poorly predicted with a low R2 (<0.5).
Rapid characterization of biomass using fluorescence spectroscopy coupled with multivariate data analysis. II. Northern red oak (Quercus rubra)
Nkansah, K. (author) / Dawson-Andoh, B. (author)
Journal of Renewable and Sustainable Energy ; 2 ; 043101-
2010-07-01
10 pages
Article (Journal)
Electronic Resource
English
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