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利用近红外光谱法(NIRS)评估中国动物粪便堆肥中的营养金属含量。

Evaluation of the nutrient metal content in Chinese animal manure compost using near infrared spectroscopy (NIRS).

作者信息

Huang Guangqun, Han Lujia, Yang Zengling, Wang Xiaoyan

机构信息

College of Engineering, China Agricultural University, Box 191, Beijing 100083, China.

出版信息

Bioresour Technol. 2008 Nov;99(17):8164-9. doi: 10.1016/j.biortech.2008.03.025. Epub 2008 Apr 28.

Abstract

This study explored the feasibility of determining the content of several nutrient metals (K, Ca, Mg, Fe and Zn) in animal manure compost products in China using near infrared spectroscopy (NIRS). Samples of 120 compost products were collected from 22 provinces in China. The spectra were scanned obtained with a FT-NIRS system. For fresh samples, the validation coefficient of determination (r2), standard error of prediction (SEP) and the ratio of the standard deviation in the validation set to the standard error of prediction (RPD) were 0.69, 5.08g/kg and 1.83 for K, 0.46, 17.99g/kg and 1.33 for Ca, 0.54, 1.73g/kg and 1.42 for Mg, 0.86, 1.14g/kg and 2.55 for Fe and 0.65, 62.95mg/kg and 1.71 for Zn, respectively. For dried samples, the r2, SEP and RPD were 0.68, 5.68g/kg and 1.79 for K, 0.78, 15.34g/kg and 2.12 for Ca, 0.72, 2.07g/kg and 1.81 for Mg, 0.84, 1.49g/kg and 2.27 for Fe and 0.57, 86.32mg/kg and 1.52 for Zn, respectively. The results showed that the NIRS technique is a potential method for predicting nutrient metal content of animal manure compost products. However, further research is needed to improve the prediction precision of calibration models by enlarging the number of samples and using other chemometric methods.

摘要

本研究探讨了利用近红外光谱法(NIRS)测定中国动物粪便堆肥产品中几种营养金属(钾、钙、镁、铁和锌)含量的可行性。从中国22个省份收集了120个堆肥产品样本。使用傅里叶变换近红外光谱(FT-NIRS)系统扫描光谱。对于新鲜样本,钾的验证决定系数(r2)、预测标准误差(SEP)以及验证集中标准偏差与预测标准误差的比值(RPD)分别为0.69、5.08g/kg和1.83,钙分别为0.46、17.99g/kg和1.33,镁分别为0.54、1.73g/kg和1.42,铁分别为0.86、1.14g/kg和2.55,锌分别为0.65、62.95mg/kg和1.71。对于干燥样本,钾的r2、SEP和RPD分别为0.68、5.68g/kg和1.79,钙分别为0.78、15.34g/kg和2.12,镁分别为0.72、2.07g/kg和1.81,铁分别为0.84、1.49g/kg和2.27,锌分别为0.57、86.32mg/kg和1.52。结果表明,近红外光谱技术是预测动物粪便堆肥产品营养金属含量的一种潜在方法。然而,需要进一步研究通过增加样本数量和使用其他化学计量方法来提高校准模型的预测精度。

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