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Linkage Abundance and Molecular Weight Characteristics of Technical Lignins by Attenuated Total Reflection‐FTIR Spectroscopy Combined with Multivariate Analysis

机译:衰减全反射-FTIR光谱结合多元分析的技术木质素键合丰度和分子量特征

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摘要

Lignin is an attractive material for the production of renewable chemicals, materials and energy. However, utilization is hampered by its highly complex and variable chemical structure, which requires an extensive suite of analytical instruments to characterize. Here, we demonstrate that straightforward attenuated total reflection (ATR)‐FTIR analysis combined with principle component analysis (PCA) and partial least squares (PLS) modelling can provide remarkable insight into the structure of technical lignins, giving quantitative results that are comparable to standard gel‐permeation chromatography (GPC) and 2D heteronuclear single quantum coherence (HSQC) NMR methods. First, a calibration set of 54 different technical (fractionated) lignin samples, covering kraft, soda and organosolv processes, were prepared and analyzed using traditional GPC and NMR methods, as well as by readily accessible ATR‐FTIR spectroscopy. PLS models correlating the ATR‐FTIR spectra of the broad set of lignins with GPC and NMR measurements were found to have excellent coefficients of determination (R 2 Cal.>0.85) for molecular weight (M n, M w) and inter‐unit abundances (β‐O‐4, β‐5 and β‐β), with low relative errors (6.2–14 %) as estimated from cross‐validation results. PLS analysis of a second set of 28 samples containing exclusively (fractionated) kraft lignins showed further improved prediction ability, with relative errors of 3.8–13 %, and the resulting model could predict the structural characteristics of an independent validation set of lignins with good accuracy. The results highlight the potential utility of this methodology for streamlining and expediting the often complex and time consuming technical lignin characterization process.
机译:木质素是用于生产可再生化学品,材料和能源的有吸引力的材料。但是,由于其高度复杂和易变的化学结构,使用受到阻碍,这需要大量的分析仪器进行表征。在这里,我们证明,直接衰减全反射(ATR)-FTIR分析与主成分分析(PCA)和偏最小二乘(PLS)建模相结合,可以提供对技术木质素结构的深刻见解,从而获得与标准品相当的定量结果凝胶渗透色谱(GPC)和二维异核单量子相干(HSQC)NMR方法。首先,使用传统的GPC和NMR方法以及易于使用的ATR-FTIR光谱,制备并分析了一套涵盖54个不同技术(分馏)木质素样品的校准样品,涵盖了牛皮纸,苏打水和有机溶剂工艺。发现将大量木质素的ATR-FTIR光谱与GPC和NMR测量相关联的PLS模型具有出色的分子量(M n,M)测定系数(R 2 Cal。> 0.85)。 w)和单元间的丰度(β-O-4,β-5和β-β),相对误差较低(6.2-14 %%),根据交叉验证结果估算。对仅含(分离的)牛皮纸木质素的第二组28个样品的PLS分析显示,预测能力进一步提高,相对误差为3.8–13%,所得模型可以准确预测独立验证的木质素验证组的结构特征。 。结果强调了这种方法在简化和加速通常复杂且耗时的木质素表征过程中的潜在用途。

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