Near-infrared analysis of the chemical composition of rice straw
Near-infrared analysis of the chemical composition of rice straw
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DOI：
10.1016/j.indcrop.2007.03.004
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发表时间：
2007-08-01
影响因子：
5.9
通讯作者：
Chen, Hongzhang
中科院分区：
文献类型：
--
作者：
Jin, Shengying;Chen, Hongzhang
快速、准确地测定稻草的化学成分是预测其价值和营养品质的关键。在这项工作中，使用近红外反射光谱（NIRS）测定稻草的分析参数，如总灰分，不溶性灰分，水分，纤维素，半纤维素和Klason木质素的校准模型进行了研究，使用不同的水稻秸秆。采用偏最小二乘（PLS）回归方法建立了水稻秸秆化学成分的近红外光谱（NIRS）校正模型，并对独立样品的化学成分进行了预测，结果表明该模型快速、准确，相关系数（R2）大于0.85。所建立的近红外光谱校正模型适用于稻草样品的质量检测。(C)2007 Elsevier B.V.保留所有权利。
Rapid and accurate determination of chemical composition of rice straw is crucial to predictions of its value and nutritive quality. In this work, calibration models using near-infrared reflectance spectroscopy (NIRS) for determination of rice straw analytical parameters such as total ash, insoluble ash, moisture, cellulose, hemicellulose and Klason lignin were studied using a diverse group of rice straws. The NIRS calibration models for chemical compositions of rice straw were derived by partial least-squares (PLS) regression and prediction of chemical composition of independent rice straw samples showed these models to be rapid and accurate, giving R-2 -values higher than 0.85. Such NIRS calibration models are appropriate for the determination of the quality of rice straw samples. (C) 2007 Elsevier B.V. All rights reserved.