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Multiwavelength Raman Microspectroscopy for Rapid Prediction of Soot Oxidation Reactivity

机译:多波长拉曼光谱用于烟尘氧化反应性的快速预测

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Multiwavelength Raman microspectroscopy (MWRM) analysis for characterization of soot structure and reactivity was developed. This new method is based on the dispersive character of carbon D mode in Raman spectra (i.e., red shift and increase in intensity at higher excitation wavelength, (lambda)_(0)). The approach was proven by investigating various diesel soot samples and related carbonaceous materials at different (lambda)_(0) (785, 633, 532, and 514 nm). In order to compare the behavior of the D mode for various samples and to derive a single parameter characterizing the soot structure, the difference of integrals for pairs of spectra collected at different (lambda)_(0) was calculated. MWRM analysis revealed substantial differences in the structural ordering which decreases from graphite, over Printex XE2 and various diesel soot samples, to spark discharge soot. To obtain the relation between structure and reactivity of soot, MWRM analysis was combined with temperature-programmed oxidation (TPO). TPO allowed us to characterize the oxidation behavior of soot in terms of the maximum emission (CO + CO_(2)) temperature and reactivity index. The latter was calculated by introducing the reactivity limits: spark discharge soot containing a large amount of disorder represents the upper limit, whereas the lower limit is given by graphite powder with high structural order. The comparison of MWRM (viz., the observed Raman difference integrals) and TPO data revealed a linear correlation between soot structure and oxidation reactivity. Thus, we demonstrated for the first time the potential of MWRM for a robust and rapid prediction of diesel soot reactivity based on the structure-reactivity correlation.
机译:建立了表征烟灰结构和反应性的多波长拉曼光谱(MWRM)分析。该新方法基于碳D模式在拉曼光谱中的色散特性(即红移和在较高激发波长(λ_(0))下强度的增加)。通过研究不同λ(0)(785、633、532和514 nm)的各种柴油机烟灰样品和相关碳质材料,证明了该方法。为了比较各种样品的D模式行为并得出表征煤烟结构的单个参数,计算了在不同的λ_(0)下收集的光谱对的积分差。 MWRM分析表明,从石墨到Printex XE2和各种柴油机烟灰样品,到火花放电烟灰,其结构顺序存在很大差异。为了获得烟灰的结构与反应性之间的关系,将MWRM分析与程序升温氧化(TPO)相结合。 TPO使我们能够根据最大排放(CO + CO_(2))温度和反应活性指数来表征烟灰的氧化行为。后者是通过引入反应性极限来计算的:含有大量无序的火花烟灰代表上限,而其下限由具有高结构序的石墨粉末给出。 MWRM(即观察到的拉曼差异积分)和TPO数据的比较表明,烟灰结构与氧化反应性之间存在线性关系。因此,我们首次证明了基于结构反应性相关性的MWRM对柴油机烟灰反应性进行稳健而快速的预测的潜力。

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