近红外技术快速测定肉鸡粪便主要肥料成分含量的研究

Rapid near infrared prediction of broiler manure nutrient contents

该文探讨了利用近红外光谱分析技术(NIRS)快速测定肉鸡粪便主要肥料成分含量的可行性。在饲养试验过程中采集了肉鸡粪便样品183个,利用常规实验室分析方法测定了其中的总氮(TN)、总磷(TP)、总钾(TK)、铵态氮(AN)、有效磷(EP)含量,利用近红外光谱仪取得了样品在1421.5～2572.2nm波段的光谱,并使用偏最小二乘法(PLS)结合交互验证(CV)和留一检验法(LOO)建立了肉鸡粪便肥料成分的近红外光谱定标模型,同时利用该模型对20个样品的总氮、总磷、总钾、铵态氮、有效磷的含量进行预测,得出的5种主要肥料成分的预测值和真实值(实验室经典化学分析方法测定值)之间具有显著的相关性,其相关系数分别为0.9574,0.9590,0.9870,0.9572和0.9650。预测标准差分别为0.0014,0.0012,0.0012,2.3041×10-4和0.3814。结果表明,利用近红外光谱法对肉鸡粪便风干样品的主要肥料成分进行快速测定是可行的。

The objective of this study was to investigate the feasibility of using near-infrared reflectance spectroscopy (NIRS) to determine nutrient contents in broiler manures. 183 samples of their nutrient contents (total nitrogen, total phosphorus, total potassium, ammonia-nitrogen and efficient phosphorus) using conventional means were collected. Samples were scanned from 1421.5～2572.2 nm on a WQF-400N NIR system. Calibrations were developed using a leave-one-out cross validation procedure under partial least-squares regression. There was sensible correlation between the predicted results and true value in the 20 samples. Their correlative coefficients were (0.9574), 0.9590, 0.9870, 0.9572 and 0.9650, respectively; their Root Mean Squared Deviations(RMSD) were (0.0014), 0.0012, 0.0012, 2.3041×10^(-4) and 0.3814, respectively. It shows that NIRS will be a viable alternative to conventional analysis procedures for manure nutrient content prediction.