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UV-Vis Spectroscopy and Chemometrics for the Monitoring of Organosolv Pretreatments

机译:紫外可见光谱和化学计量学用于监测有机溶剂预处理

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摘要

Lignocellulosic agricultural side products like wheat straw are widely seen as an important contribution to a sustainable future economy. However, the optimization of biorefinery processes, especially the pretreatment step, is crucial for an economically viable biorefinery. The monitoring of this pretreatment process in terms of delignification and the generation of the fermentation inhibitors acetic acid, furfural, and hydroxymethylfurfural (HMF) is essential in order to adapt the process parameters for a desired outcome and an economical operation. However, traditional wet chemistry methods are time-consuming and not suitable for on-line process monitoring. Therefore, UV-Vis spectroscopy in combination with partial least-squares regression was used for the determination of the concentrations of lignin, acetic acid, furfural, and HMF. Five different data blocks with increasing amounts of impurities were investigated to evaluate the influence of the inevitable impurities on the calibration models. Lignin showed a good prediction accuracy with 95% tolerance intervals between ±0.46 to ±1.6 mg/L for concentrations up to 30 mg/L. Also, the other components could be predicted with a sufficient accuracy for on-line process monitoring. A satisfactory calibration can be obtained with 10 to 20 reference samples valid at process temperatures between 160 °C and 180 °C.
机译:诸如麦秆的木质纤维素农业副产品被广泛视为对可持续未来经济的重要贡献。然而,优化生物精炼工艺,尤其是预处理步骤,对于经济可行的生物精炼至关重要。为了使工艺参数适应所需的结果和经济的操作,从脱木素和发酵抑制剂乙酸,糠醛和羟甲基糠醛(HMF)的产生方面对该预处理过程进行监控至关重要。但是,传统的湿化学方法很耗时,不适合在线过程监控。因此,将UV-Vis光谱结合偏最小二乘回归用于确定木质素,乙酸,糠醛和HMF的浓度。研究了五个不同杂质含量增加的数据块,以评估不可避免的杂质对校准模型的影响。木质素显示出良好的预测准确性,对于浓度高达30 mg / L的情况,其95%的容许区间为±0.46至±1.6 mg / L。同样,可以以足够的精度预测其他组件,以进行在线过程监视。在160°C至180°C的过程温度下,使用10至20个有效的参考样品可以获得令人满意的校准结果。

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