Chemical Composition and Calorific Value Prediction of Wheat Straw at Different Maturity Stages Using Near-Infrared Reflectance Spectroscopy
Chemical Composition and Calorific Value Prediction of Wheat Straw at Different Maturity Stages Using Near-Infrared Reflectance Spectroscopy
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DOI：
10.1021/ef501446r
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发表时间：
2014-11
期刊：
影响因子：
5.3
通讯作者：
W. Niu;G. Huang;Xian Liu;Long-jian Chen;Lujia Han
中科院分区：
文献类型：
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作者：
W. Niu;G. Huang;Xian Liu;Long-jian Chen;Lujia Han
对不同成熟期的麦草进行快速评估，将有助于揭示其生长成熟度，更好地进行过程控制，优化可持续增值利用。本研究探索了近红外反射光谱(NIR)技术在小麦秸秆不同成熟期多种化学成分和热值分析中的应用潜力。采用偏最小二乘法(偏最小二乘法)和遗传算法-偏最小二乘法(GA-PLS)模型进行近红外光谱分析。结果表明，偏最小二乘模型和遗传-偏最小二乘模型均可用于估算小麦秸秆三个成熟期的化学成分和发热量，而遗传-偏最小二乘方法减少了用于建模的光谱变量，并提供了与化学成分和发热量有较好相关性的敏感光谱变量。近红外光谱分析技术可以成功地检测出食品中的水溶性碳水化合物(WSC)、粗蛋白(CP)、酸性洗涤纤维等物质的含量。
Rapid assessment of wheat straw at different maturity stages will help to reveal its growth mature and enable better process control that will optimize the sustainable value-added usage. This study explored the potential of near-infrared reflectance (NIR) spectroscopy to quantitatively and qualitatively analyze the multiple chemical composition and calorific value of wheat straw at different maturity stages. Partial least-squares (PLS) and genetic algorithm and partial least-squares (GA-PLS) models were used for NIR spectroscopy analysis. Results showed that PLS models and GA-PLS models could be both used for the estimation of chemical composition and calorific value of wheat straw at three maturity stages, and the GA-PLS method reduced the spectral variables for modeling and provided sensitive spectral variables correlated well with chemical composition and calorific value. NIR spectroscopy could successfully detect the contents of water-soluble carbohydrates (WSC), crude protein (CP), acid detergent fib...