Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China.
J Integr Plant Biol. 2011 Feb;53(2):166-75. doi: 10.1111/j.1744-7909.2010.01003.x. Epub 2010 Nov 23.
Rapid determination of the properties of lignocellulosic material is highly desirable for biomass production and utilization. In the present study, measurements of woody biomass digestibility and chemical composition using near-infrared reflectance (NIR) spectroscopy were calibrated. Poplar and eucalyptus materials were recorded in NIR spectrum as well as determined for their chemical compositions of Klason lignin, α-cellulose, holocellulose, lignin syringyl/guaiacyl (S/G) ratio and enzymatic digestibility. Fitting of the NIR information with chemical properties and digestibility by partial least-squares (PLS) regression generated a group of trained NIR models that were able to be used for rapid biomass measurement. Applying the models for woody biomass measurements led to a reliable evaluation of the chemical composition and digestibility, suggesting the feasibility of using NIR spectroscopy in the rapid characterization of biomass properties.
快速测定木质纤维素材料的特性对于生物质的生产和利用是非常理想的。在本研究中，使用近红外反射光谱法（NIR）对木质生物质的消化率和化学成分进行了标定。对杨树和桉树材料进行了 NIR 光谱记录，并对其木质素 Klason、α-纤维素、综纤维素、木质素愈创木基/松柏基（S/G）比和酶消化率等化学成分进行了测定。通过偏最小二乘（PLS）回归将 NIR 信息与化学性质和消化率进行拟合，生成了一组经过训练的 NIR 模型，可用于快速测量生物质。将模型应用于木质生物质的测量，能够可靠地评估其化学成分和消化率，表明在快速表征生物质特性时使用近红外光谱法是可行的。
