利用近红外光谱法快速准确评估商品有机肥质量
Rapid and accurate evaluation of the quality of commercial organic fertilizers using near infrared spectroscopy.
作者信息
Wang Chang, Huang Chichao, Qian Jian, Xiao Jian, Li Huan, Wen Yongli, He Xinhua, Ran Wei, Shen Qirong, Yu Guanghui
机构信息
National Engineering Research Center for Organic-based Fertilizers, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing, PR China.
School of Plant Biology, University of Western Australia, Crawley, Australia.
出版信息
PLoS One. 2014 Feb 25;9(2):e88279. doi: 10.1371/journal.pone.0088279. eCollection 2014.
The composting industry has been growing rapidly in China because of a boom in the animal industry. Therefore, a rapid and accurate assessment of the quality of commercial organic fertilizers is of the utmost importance. In this study, a novel technique that combines near infrared (NIR) spectroscopy with partial least squares (PLS) analysis is developed for rapidly and accurately assessing commercial organic fertilizers quality. A total of 104 commercial organic fertilizers were collected from full-scale compost factories in Jiangsu Province, east China. In general, the NIR-PLS technique showed accurate predictions of the total organic matter, water soluble organic nitrogen, pH, and germination index; less accurate results of the moisture, total nitrogen, and electrical conductivity; and the least accurate results for water soluble organic carbon. Our results suggested the combined NIR-PLS technique could be applied as a valuable tool to rapidly and accurately assess the quality of commercial organic fertilizers.
由于畜牧业的蓬勃发展，中国的堆肥行业一直在迅速增长。因此，快速准确地评估商业有机肥料的质量至关重要。在本研究中，开发了一种将近红外（NIR）光谱与偏最小二乘法（PLS）分析相结合的新技术，用于快速准确地评估商业有机肥料的质量。总共从中国东部江苏省的规模化堆肥厂收集了104种商业有机肥料。总体而言，近红外-偏最小二乘法技术对总有机质、水溶性有机氮、pH值和发芽指数的预测较为准确；对水分、总氮和电导率的预测结果不太准确；对水溶性有机碳的预测结果最不准确。我们的结果表明，近红外-偏最小二乘法技术可作为一种有价值的工具，用于快速准确地评估商业有机肥料的质量。
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