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Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy

View Article: PubMed Central - PubMed

ABSTRACT

The bioavailability of heavy metals in soil is controlled by their concentrations and soil properties. Diffuse reflectance mid-infrared Fourier-transform spectroscopy (DRIFTS) is capable of detecting specific organic and inorganic bonds in metal complexes and minerals and therefore, has been employed to predict soil composition and heavy metal contents. The present study explored the potential of DRIFTS for estimating soil heavy metal bioavailability. Soil and corresponding wheat grain samples from the Yangtze River Delta region were analyzed by DRIFTS and chemical methods. Statistical regression analyses were conducted to correlate the soil spectral information to the concentrations of Cd, Cr, Cu, Zn, Pb, Ni, Hg and Fe in wheat grains. The principal components in the spectra influencing soil heavy metal bioavailability were identified and used in prediction model construction. The established soil DRIFTS-based prediction models were applied to estimate the heavy metal concentrations in wheat grains in the mid-Yangtze River Delta area. The predicted heavy metal concentrations of wheat grain were highly consistent with the measured levels by chemical analysis, showing a significant correlation (r2 > 0.72) with acceptable root mean square error RMSE. In conclusion, DRIFTS is a promising technique for assessing the bioavailability of soil heavy metals and related ecological risk.

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Mentions: A crop rotation (wheat and rice) farming area in the Yangtze River Delta region of China was selected as the study site. The area covering 30°00′N–33°20′N and 119°10′E–121°40′E is located in the eastern China (Fig. 6). The soils in this area are mainly silt loam and clay loam developed from sedimentary rock weathering residuals and fluvial alluvial deposits. The frost-free period of the area is 210–270 days, its average annual temperature is 15 °C, and average annual precipitation is 1,000–1,400 mm. Sequential cropping of winter wheat (Triticum aestivum) and rice (Oryza sativa) on the same land in one year is a typical farming practice. Chemical fertilizers and pesticides are heavily applied to grow these two staple cereal grain crops. The irrigation water for growing rice may be contaminated by industrial waste discharges and therefore, soil contamination by heavy metals has not been rare in this area272830.


Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5304163&req=5

Mentions: A crop rotation (wheat and rice) farming area in the Yangtze River Delta region of China was selected as the study site. The area covering 30°00′N–33°20′N and 119°10′E–121°40′E is located in the eastern China (Fig. 6). The soils in this area are mainly silt loam and clay loam developed from sedimentary rock weathering residuals and fluvial alluvial deposits. The frost-free period of the area is 210–270 days, its average annual temperature is 15 °C, and average annual precipitation is 1,000–1,400 mm. Sequential cropping of winter wheat (Triticum aestivum) and rice (Oryza sativa) on the same land in one year is a typical farming practice. Chemical fertilizers and pesticides are heavily applied to grow these two staple cereal grain crops. The irrigation water for growing rice may be contaminated by industrial waste discharges and therefore, soil contamination by heavy metals has not been rare in this area272830.

View Article: PubMed Central - PubMed

ABSTRACT

The bioavailability of heavy metals in soil is controlled by their concentrations and soil properties. Diffuse reflectance mid-infrared Fourier-transform spectroscopy (DRIFTS) is capable of detecting specific organic and inorganic bonds in metal complexes and minerals and therefore, has been employed to predict soil composition and heavy metal contents. The present study explored the potential of DRIFTS for estimating soil heavy metal bioavailability. Soil and corresponding wheat grain samples from the Yangtze River Delta region were analyzed by DRIFTS and chemical methods. Statistical regression analyses were conducted to correlate the soil spectral information to the concentrations of Cd, Cr, Cu, Zn, Pb, Ni, Hg and Fe in wheat grains. The principal components in the spectra influencing soil heavy metal bioavailability were identified and used in prediction model construction. The established soil DRIFTS-based prediction models were applied to estimate the heavy metal concentrations in wheat grains in the mid-Yangtze River Delta area. The predicted heavy metal concentrations of wheat grain were highly consistent with the measured levels by chemical analysis, showing a significant correlation (r2 > 0.72) with acceptable root mean square error RMSE. In conclusion, DRIFTS is a promising technique for assessing the bioavailability of soil heavy metals and related ecological risk.

No MeSH data available.