基于近红外光谱的反刍动物饲料营养指标的检测方法研究

收集了151个反刍动物饲料,应用偏最小二乘(PLS)定标方法,建立了基于近红外光谱的反刍动物饲料化学成分定标模型。定标集化学分析值与预测值之间的决定系数R2和标准差(RMSEC)分别为:0.927 3和0.265(水分)、0.928 9和0.682(粗蛋白质)、0.950 5和0.228(粗脂肪)、0.906 0和0.542(粗灰分)、0.919 8和0.558(粗纤维)。验证集化学分析值与预测值之间的决定系数r2和标准差(RMSEP)分别为:0.920 6和0.284(水分)0、.919 4和0.690(粗蛋白质)、0.926 4和0.312(粗脂肪)、0.943 4和0.437(粗灰分)、0.903 5和0.616(粗纤维),相对分析误差(RPD)均大于3,具有较高的预测精度。结果表明,利用近红外光谱反射光谱分析技术可以定量检测反刍动物饲料中水分、粗蛋白质、粗脂肪、粗灰分、粗纤维的含量。

Measuring Technique of Nutrition Composition in Feed for Ruminant by Near Infrared Reflectance Spectroscopy (NIRS)

The 151 samples of feed for ruminant were collected.The use of near reflectance spectroscopy(NIRS) was investigated as an alternative method for predicting chemical composition.The NIRS calibration models were developed by using the partial least squares(PLS) technique.The coefficient of determination in calibration(R2) and standard error(RMSEC) of chemical analysis value and NIRS prediction value of calibration sets were 0.927 3 and 0.265,0.928 9 and 0.682,0.950 5 and 0.228,0.906 0 and 0.542,0.919 8 and 0.558 for moisture,crude protein,crude fat,crude ash,crud fibre,respectively.The coefficient of determination in calibration(r2) and standard error(RMSEP) of validation set were 0.920 6 and 0.284,0.919 4 and 0.690,0.926 4 and 0.312,0.943 4 and 0.437,0.903 5 and 0.616 for moisture,crude protein,crude fat,crude ash,crud fibre,respectively,and the RPD were all over 3.It was concluded that NIRS can be used as a method to monitor the chemical composition of feed for ruminant.