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首页> 外文期刊>Analytica chimica acta >Application of band-target entropy minimization (BTEM) and residual spectral analysis to in situ reflection-absorption infrared spectroscopy (RAIRS) data from surface chemistry studies
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Application of band-target entropy minimization (BTEM) and residual spectral analysis to in situ reflection-absorption infrared spectroscopy (RAIRS) data from surface chemistry studies

机译:带目标熵最小化(BTEM)和残留光谱分析在表面化学研究中的原位反射吸收红外光谱(RAIRS)数据中的应用

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摘要

The band-target entropy minimization (BTEM) curve resolution technique has been used to analyze in situ reflection-absorption infrared spectroscopy (RAIRS) data of CO chemisorption on Ni(111) single crystal surfaces. The bilinearity assumption for pRAIRS data, that is, negative logarithm to the base 10 of raw reflectance RAIRS data, was found to be sufficiently valid for the test data. A total of 11 real pure component pRAIRS spectra were elucidated via BTEM in tandem with an iterative residual spectral data analysis. Furthermore, 2 abstract pure component fight singular vectors were found to account for all the pRAIRS non-linearities, baseline drifts and other spectral noise. In total, 100.2% of the pRAIRS signals were accounted for by these 13 spectral components. The 11 real pure component pRAIRS spectra and their corresponding relative concentration kinetic sequences correlate with 6 well-known adsorbed CO domain structures. Moreover, amongst the BTEM resolved spectra were five new bands that were not previously observed using conventional visual identification methods adopted by surface chemists. These new bands engendered new understanding to the mechanism of CO chemisorption on Ni(111). The combination of BTEM with residual spectral analysis was thus demonstrated to be efficacious for curve resolution of in situ RAIRS data obtained from surface chemistry studies. (c) 2006 Elsevier B.V. All rights reserved.
机译:带目标熵最小化(BTEM)曲线分辨率技术已被用于分析Ni(111)单晶表面上CO化学吸附的原位反射吸收红外光谱(RAIRS)数据。发现pRAIRS数据的双线性假设,即原始反射RAIRS数据的底数为10的负对数,对于测试数据足够有效。通过BTEM结合迭代残留光谱数据分析,共阐明了11个真实的纯组分pRAIRS光谱。此外,发现了2个抽象的纯组分搏斗奇异矢量来解释所有pRAIRS非线性,基线漂移和其他频谱噪声。这13个光谱分量总共占pRAIRS信号的100.2%。 11个真实的纯组分pRAIRS光谱及其相应的相对浓度动力学序列与6个众所周知的吸附式CO域结构相关。此外,在BTEM分辨的光谱中有五个新的谱带,这些谱带以前是使用表面化学家采用的常规视觉识别方法未观察到的。这些新的条带使人们对CO化学吸附Ni(111)的机理有了新的认识。因此,证明了BTEM与残留光谱分析的结合对于从表面化学研究获得的原位RAIRS数据的曲线解析有效。 (c)2006 Elsevier B.V.保留所有权利。

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