Preliminary Research on the Adaptability of NIR Quantitative Calibration Models for Metal Elements in Soil
WANG Dong, MA Zhi-hong, WANG Ji-hua, JIN Xin-xin, HOU Jin-jian, PAN Li-gang*
Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences; Risk Assessment Lab for Agro-Products (Beijing), Ministry of Agriculture; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China
Abstract：In order to research the adaptability of the NIR quantitative calibration models for the metal elements in soil, in this research, near-infrared spectroscopy combined with partial least square regression algorithm was applied to develop the quantitative calibration models of K, As, Hg, Cu, Zn, Pb, Cr, Cd in the air-dry soil samples after the outliers having been eliminated. The content prediction of the elements mentioned above was carried out for the air-dry soil samples and the oven-dry soil samples for the external validation set respectively. The result indicates that the correlation coefficient between the estimated and specified values of the air-dry soil samples is larger than that of the oven-dry soil samples for each element. A significant correlation exists between the estimated and specified values of the air-dry soil samples for each element, while there is no significant correlation exists between that of K, Hg, Cr of the oven-dry soil samples. In this thesis, the adaptability of the NIR quantitative calibration models for the metal elements in soil was researched preliminarily, which, to some extent, can provide reference for the rapid quantitative monitoring method of the metal elements in soil and the monitoring of the home environment of agricultural products.
Key words：Near-infrared spectroscopy; Metal elements; Soil; Quantitative calibration models
王 冬，马智宏，王纪华，靳欣欣，侯金健，潘立刚. 土壤金属元素近红外光谱定量校正模型适应性初步研究[J]. 光谱学与光谱分析, 2017, 37(04): 1086-1089.
WANG Dong, MA Zhi-hong, WANG Ji-hua, JIN Xin-xin, HOU Jin-jian, PAN Li-gang. Preliminary Research on the Adaptability of NIR Quantitative Calibration Models for Metal Elements in Soil. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1086-1089.
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