热解
生物量(生态学)
红外光谱学
光谱学
傅里叶变换红外光谱
红外线的
原材料
化学
材料科学
化学工程
有机化学
物理
光学
生态学
量子力学
工程类
生物
作者
Jian Li,Shujuan Li,Zhiguo Dong,Meng Gong,Yingquan Chen,Haiping Yang,Hanping Chen
出处
期刊:Energy & Fuels
[American Chemical Society]
日期:2020-07-20
卷期号:34 (8): 9154-9174
被引量:17
标识
DOI:10.1021/acs.energyfuels.0c01921
摘要
Pyrolysis is a promising technology that can efficiently convert biomass into gas, liquid, and solid fuels. Elucidating the biomass pyrolysis reaction mechanism is essential for the effective biomass utilization. However, the biomass components and structure are very complex, which complicates the investigation of biomass pyrolysis using traditional approaches. Two-dimensional perturbation correlation infrared spectroscopy (2D-PCIS) represents a new analytical method for visualizing the raw Fourier transform infrared spectroscopy data. When volatile compound release properties are studied, the biomass pyrolysis mechanism can be determined. In this paper, the theoretical concept, developments, and applications of 2D-PCIS are described in detail with the emphasis on probing biomass pyrolysis reactions via the analysis of the functional group evolution and bond breakage processes.
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