期刊
APPLIED SPECTROSCOPY
卷 66, 期 8, 页码 903-910出版社
SAGE PUBLICATIONS INC
DOI: 10.1366/12-06621
关键词
Near-infrared Raman spectroscopy; Plant cell wall; Guaiacyl lignin; Syringyl lignin; Principal component analysis; PCA; Principal component regression; PCR
资金
- U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences through the Ames Laboratory
- U.S. Department of Energy [DE-AC02-07CH11358]
- GAANN through the Department of Chemistry, Iowa State University
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.
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