Celignis Limited, Tierney Building, University of Limerick, Limerick, Ireland.
Faraday Discuss. 2017 Sep 21;202:465-482. doi: 10.1039/c7fd00081b.
Analytical data and quantitative near infrared (NIR) spectroscopy models for various lignocellulosic components (including Klason lignin and the constituent sugars glucose, xylose, mannose, arabinose, galactose, and rhamnose), ash, and ethanol-soluble extractives were obtained for 53 samples of paper and cardboard. These samples were mostly the type of materials typically found in domestic wastes (e.g. newspapers, printing paper, glossy papers, food packaging). A number of the samples (48) were obtained by separating a sample, after milling, into two particle size fractions. It was found that the fractions containing the smaller particles typically had higher ash and Klason lignin contents and lower glucose and xylose contents than the larger particle size fractions. Nevertheless, all of the sample types had attractive total sugars contents (>50%), indicating that these could be suitable feedstocks for the production of biofuels and chemicals in hydrolysis-based biorefining technologies. NIR models of a high predictive accuracy (R of >0.9 for the independent validation set) were obtained for total sugars, glucose, xylose, Klason lignin, and ash, with values for the Root Mean Square Error of Prediction (RMSEP) of 2.36%, 2.64%, 0.56%, 1.98%, and 4.87%, respectively. Good NIR models (R of >0.8) were also obtained for mannose, arabinose, and galactose. These results suggest that NIR spectroscopy is a suitable method for the rapid, low-cost, analysis of the major lignocellulosic components of waste paper/cardboard samples.
分析数据和定量近红外（NIR）光谱模型，用于各种木质纤维素成分（包括克氏木质素和组成糖葡萄糖、木糖、甘露糖、阿拉伯糖、半乳糖和鼠李糖）、灰分和乙醇可溶抽提物，用于 53 个纸张和纸板样品。这些样品主要是通常在家庭废物中发现的材料类型（例如报纸、印刷纸、光泽纸、食品包装）。许多样品（48 个）是通过将样品粉碎后分离成两个粒度级分获得的。结果发现，含有较小颗粒的级分通常比较大颗粒级分具有更高的灰分和克氏木质素含量以及更低的葡萄糖和木糖含量。然而，所有的样品类型都具有有吸引力的总糖含量（>50%），表明这些可以作为水解基生物精炼技术生产生物燃料和化学品的合适原料。对于总糖、葡萄糖、木糖、克氏木质素和灰分，获得了具有高预测准确性（独立验证集的 R 大于 0.9）的 NIR 模型，预测误差（RMSEP）值分别为 2.36%、2.64%、0.56%、1.98%和 4.87%。对于甘露糖、阿拉伯糖和半乳糖，也获得了良好的 NIR 模型（R 大于 0.8）。这些结果表明，NIR 光谱法是一种快速、低成本、分析废纸/纸板样品中主要木质纤维素成分的合适方法。
