Du Juan, An Dong, Xia Tian, Huang Yan-Hua, Li Hong-Chao, Zhang Yun-Wei
Beijing Key Laboratory for Grassland Science/college of Technology/national Energy R & D Center for Non-food Biomass, China
College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Dec;33(12):3207-11.
Near infrared reflectance spectroscopy technology, as a new analytic method, can be used to determine the content of lignin, cellulose and hemi-cellulose which is faster, effective, easier to operate, and more accurate than the traditional wet chemical methods. Nowadays it has been widely used in measuring the composition of lignocelluloses in woody plant and herbaceous plant. The domestic and foreign research progress in determining the lignin, cellulose and hemi-cellulose content in woody plant ( wood and bamboo used as papermaking raw materials and wood served as potential biomass energy) and herbaceous plant (forage grass and energy grass) by near infrared reflectance spectroscopy technology is comprehensively summarized and the advances in method studies of measuring the composition of lignocelluloses by near infrared reflectance spectroscopy technology are summed up in three aspects, sample preparation, spectral data pretreatment and wavelength selection methods, and chemometric analysis respectively. Four outlooks are proposed combining the development statues of wood, forage grass and energy grass industry. First of all, the authors need to establish more feasible and applicable models for a variety of uses which can be used for more species from different areas, periods and anatomical parts. Secondly, comprehensive near infrared reflectance spectroscopy data base of grass products quality index needs to be improved to realize on-line quality and process control in grassproducts industry, which can guarantee the quality of the grass product. Thirdly, the near infrared reflectance spectroscopy quality index model of energy plant need to be built which can not only contribute to breed screening, but also improve the development of biomass industry. Besides, modeling approaches are required to be explored and perfected any further. Finally, the authors need to try our best to boost the advancement in the determination method of lignin, cellulose and hemi-cellulose by near infrared reflectance spectroscopy from the laboratory to the practical applications. Along with the method of determining the lignin, cellulose and hemi-cellulose by near infrared spectroscopy being unceasingly perfected and matured, this technique will actively have a positive effect on the development of papermaking, forage grass and energy grass industry.
近红外反射光谱技术作为一种新型分析方法,可用于测定木质素、纤维素和半纤维素的含量,与传统湿化学方法相比,它速度更快、效果更好、操作更简便且更准确。如今,它已广泛应用于测量木本植物和草本植物中木质纤维素的组成。本文全面总结了国内外利用近红外反射光谱技术测定木本植物(用作造纸原料的木材和竹子以及作为潜在生物质能源的木材)和草本植物(饲草和能源草)中木质素、纤维素和半纤维素含量的研究进展,并从样品制备、光谱数据预处理和波长选择方法以及化学计量分析三个方面总结了近红外反射光谱技术测定木质纤维素组成的方法研究进展。结合木材、饲草和能源草产业的发展现状提出了四点展望。首先,作者需要为多种用途建立更可行、适用的模型,这些模型可用于来自不同地区、时期和解剖部位的更多物种。其次,需要完善饲草产品质量指标的近红外反射光谱综合数据库,以实现饲草产品行业的在线质量和过程控制,从而保证饲草产品的质量。第三,需要建立能源植物的近红外反射光谱质量指标模型,这不仅有助于品种筛选,还能促进生物质产业的发展。此外,建模方法还需要进一步探索和完善。最后,作者需要尽最大努力推动近红外反射光谱法测定木质素、纤维素和半纤维素的方法从实验室走向实际应用。随着近红外光谱法测定木质素、纤维素和半纤维素的方法不断完善和成熟,该技术将积极对造纸、饲草和能源草产业的发展产生积极影响。