Department of Chemical and Environmental Engineering, The University of Nottingham, University Park, NG7 2RD Nottingham, United Kingdom; Municipal Key Laboratory of Clean Energy Conversion Technologies, The University of Nottingham Ningbo China, Ningbo 315100, China.
School of Biosciences, Division of Nutritional Sciences, The University of Nottingham, Sutton Bonington Campus, LE12 5RD Leicestershire, United Kingdom.
Bioresour Technol. 2014 Nov;172:312-320. doi: 10.1016/j.biortech.2014.09.042. Epub 2014 Sep 21.
Five different biomass samples were selected for this study, including miscanthus, distillers dried grain (DDG), wheat shorts, wheat straw and UK wood. These samples were thermochemically treated to alter the lignin, cellulose and hemicellulose composition. Thermogravimetric tests were carried out on these samples to determine thermal behaviours of biomass and its individual lignocellulosic components. The relationship between thermal behaviour of biomass and its corresponding lignocellulosic composition was revealed. The reliability of this relationship was proved by thermogravimetric analysis of samples of artificial biomass prepared by mixing commercially obtained lignin, cellulose and hemicellulose at various blending ratios. It is shown that actual biomass profiles can be predicted with some degree of accuracy based on the lignocellulosic composition.
本研究选取了五种不同的生物质样本，包括芒草、酒糟干燥颗粒（DDG）、小麦短粒、小麦秸秆和英国木材。这些样本经过热化学处理以改变木质素、纤维素和半纤维素的组成。对这些样本进行了热重测试，以确定生物质及其各个木质纤维素成分的热行为。揭示了生物质的热行为与其相应的木质纤维素组成之间的关系。通过混合商业获得的木质素、纤维素和半纤维素以各种混合比制备的人工生物质样品的热重分析证明了这种关系的可靠性。结果表明，基于木质纤维素组成，可以在一定程度上准确预测实际生物质的分布。
