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水稻稻草硅质化是影响稻谷生产与稻草营养品质的主要因素之一 ,对水稻稻草硅化特点的化学分析费时、耗资、准确度较低。利用近红外漫反射光谱法 (NIRS)具有分析速度快、精度高、结果稳定的优点。对同年采自福建省不同种植地、不同季节、不同品种的稻草及稻叶、叶鞘、茎秆共 92份样品进行半纤维素、纤维素、木质素、可溶及不可溶性硅化物成分的近红外光谱分析。研究利用改进最小偏差 (改进最小二乘法回归技术 )回归法 (ModifiedPLS)进行定标建模 ,并进行交叉验证 (cross validation) ,探讨了用近红外漫反射光谱技术建立稻草纤维及硅化物组成快速预测模型的可行性 ,以及影响NIRS技术在建模应用中的主要因素。
Siliceous rice straw is one of the main factors affecting rice production and straw nutritional quality. Chemical analysis of rice straw silicification is time consuming, costly and less accurate. Near infrared diffuse reflectance spectroscopy (NIRS) has the advantages of fast analysis, high precision and stable results. A total of 92 samples of rice straw, rice leaves, leaf sheaths and stalks collected from different planting locations, different seasons and different varieties of Fujian Province in the same year were collected for hemicellulose, cellulose, lignin, soluble and insoluble silicide compositions Infrared spectroscopy. The modified PLS (Modified Least Squares Regression) regression method was used to calibrate the model and cross validation was carried out. The effect of near-infrared diffuse reflectance spectroscopy on the composition of straw fiber and silicide composition Predict the feasibility of the model and the main factors influencing the application of NIRS in modeling.