4.5 Article

Spatial variation and risk assessment of heavy metals in paddy rice from Hunan Province, Southern China

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SPRINGER
DOI: 10.1007/s13762-017-1504-y

关键词

Heavy metal; Rice; Principal component analysis; Geostatistical analysis; Target hazard quotient

资金

  1. Natural Science Foundation of China [21607175]
  2. Special Fund for Agro-scientific Research in the Public Interest of China [201503108]
  3. Hunan Provincial Science and Technology Plan Project, China [2016TP1007]

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75, 0.228, 0.049 and 0.481, respectively. The target hazard quotient value of Cd exceeded the threshold Heavy metal contamination in polished rice grains collected from Hunan Province, Southern China, has been investigated in this study. The concentrations of Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in rice were determined by microwave-assisted digestion and inductively coupled plasma-mass spectrometry method. In order to evaluate the correlations among heavy metals, statistical analyses including Pearson's correlation analysis, principal component analysis and hierarchical cluster analysis were performed. Three distinct clusters were classified by the hierarchical cluster analysis approach. In the principal component analysis, three principle components were extracted with the eigenvalue > 1.0. The spatial distribution of heavy metals was predicted by the ordinary kriging interpolation. Cu and Ni with similar distribution patterns could be primarily originated from geogenic source. The hot-spot areas in the distribution patterns of Mn, Pb and Zn could be mainly related to mining and smelting activities. Cd and Co might be derived from the combination of natural existence and anthropogenic sources. The chronic non-carcinogenic effect on local rice consumers from exposure to heavy metals was estimated by the target hazard quotient. The average target hazard quotient values of Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn were 1.754, 0.367, 0.003, 0.544, 0.165, 0.7 value suggesting high potential health risk to residents in Hunan Province through rice consumption.

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