U.S. Department of Energy, Ames Laboratory, Ames, Iowa 50011, USA.
Appl Spectrosc. 2012 Aug;66(8):903-10. doi: 10.1366/12-06621. Epub 2012 Jul 13.
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 (13)C-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.
采用 1064nm 拉曼光谱法测量了代表不同类别的生物能源原料（包括木本和草本物种）的生物质。本研究包括松树、橡树、杨树、麻疯树、柳枝稷、大刍草、柳枝稷、紫花苜蓿、果园草和红三叶草。重点研究了木质素愈创木基和丁香基单体含量和类胡萝卜素化合物的光谱差异。拉曼光谱的解释与选定生物质样品的（13）C 核磁共振交叉极化/魔角旋转光谱相关联。噻酸解定量测定愈创木基和丁香基单体组成和拉曼光谱库被用作训练集，以开发用于对植物样品进行分类的主成分分析模型和用于定量木质素愈创木基和丁香基组成的主成分回归模型。与替代的生物质特征化技术相比，1064nm 激发的拉曼光谱具有优势，包括光谱背景低、光谱分辨率高、分析时间短和非破坏性分析。
