Characterization of Woody and Herbaceous Biomasses Lignin Composition with 1064 nm Dispersive Multichannel Raman Spectroscopy

TitleCharacterization of Woody and Herbaceous Biomasses Lignin Composition with 1064 nm Dispersive Multichannel Raman Spectroscopy
Publication TypeJournal Article
Year of Publication2012
AuthorsLupoi JS, Smith EA
Journal TitleApplied Spectroscopy
Volume66
Pages903-910
Date Published08
Type of ArticleArticle
ISBN Number0003-7028
Accession NumberWOS:000306720600006
Keywordsacidolysis, classification, Guaiacyl, Guaiacyl lignin, monomer composition, Near-infrared Raman spectroscopy, PCA, PCR, Plant cell wall, prediction, Principal component, Principal component analysis, regression, resonance raman, spectra, spruce, Syringyl lignin, thioacidolysis
Abstract

Biomass representing different classes of bioenergy feedstocks, including woody and herbaceous species, was measured with 1064 nm Raman spectroscopy. Pine, oak, poplar, kenaf, miscanthus, pampas grass, switchgrass, alfalfa, orchard grass, and red clover were included in this study. Spectral differences have been identified with an emphasis on lignin guaiacyl and syringyl monomer content and carotenoid compounds. The interpretation of the Raman spectra was correlated with C-13-nuclear magnetic resonance cross-polarization/magic-angle spinning spectra of select biomass samples. Thioacidolysis quantification of guaiacyl and syringyl monomer composition and the library of Raman spectra were used as a training set to develop a principal component analysis model for classifying plant samples and a principal component regression model for quantifying lignin guaiacyl and syringyl composition. Raman spectroscopy with 1064 nm excitation offers advantages over alternative techniques for biomass characterization, including low spectral backgrounds, higher spectral resolution, short analysis times, and nondestructive analyses.

URL<Go to ISI>://WOS:000306720600006
DOI10.1366/12-06621
Alternate JournalAppl. Spectrosc.