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Multivariate analysis of biomass pyrolysis vapor mass spectra using Pyrolysis Molecular Beam Mass Spectrometry - PCA, PLS, MCR

机译:利用热解分子束谱法谱法的生物质热解蒸气质谱的多变量分析 - PCA,PLS,MCR

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The thermo-decomposition of lignocellulosics has been studied for decades. Many techniques have been used to study the process under conditions chosen to yield practical and scientific insight into mechanism, kinetics and product yields. A unique, direct-sampling, mass spectrometric technique – Pyrolysis Molecular Beam Mass Spectrometry (Py-MBMS), has been demonstrated to be effective in monitoring final products as well as intermediates in vapor phase. By using this technique in previous biomass studies, large groups of sample can be easily identified based on their cell wall composition similarity and differences. Lignin content, syringyl to guaiacol (S/G) ratio can be estimated directly from the spectra. Also, it provides a rapid and accurate methodology to identify and quantify samples, other than biomass, and understand the fundamental chemistry that distinguishes those samples. Besides, the formation of thermo-decomposition products can be mapped and monitored, which suggests the mechanisms of pyrolysis and gasification.
机译:几十年来研究了木质纤维素的热分解。许多技术已经用于研究选择的条件下的过程,以产生实际和科学洞察机制,动力学和产品产量。已经证明了独特的直接采样,质谱技术 - 热解分子束质谱(Py-MBMS)在监测最终产物以及气相中的中间体方面是有效的。通过在先前的生物质研究中使用该技术,可以基于其细胞壁组合物相似性和差异容易地识别大群样品。木质素含量,可以直接从光谱估计胍基于胍(S / G)的比率。此外,它提供了快速和准确的方法,以识别和量化生物量以外的样本,并了解区分这些样品的基本化学。此外,可以映射和监测热分解产物的形成,这表明热解和气化的机制。

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