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

机译:土壤中重金属的生态风险评估:土壤漫反射中红外傅里叶变换光谱法的应用

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摘要

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.
机译:土壤中重金属的生物利用度受其浓度和土壤性质控制。漫反射中红外傅里叶变换光谱(DRIFTS)能够检测金属络合物和矿物中特定的有机和无机键,因此已被用于预测土壤成分和重金属含量。本研究探索了DRIFTS在估计土壤重金属生物利用度方面的潜力。用DRIFTS和化学方法分析了长江三角洲地区的土壤和相应的小麦籽粒样品。进行统计回归分析以使土壤光谱信息与小麦籽粒中Cd,Cr,Cu,Zn,Pb,Ni,Hg和Fe的浓度相关。确定了影响土壤重金属生物利用度的光谱中的主要成分,并将其用于预测模型的构建。建立了基于DRIFTS的土壤预测模型,以估算长江三角洲中部地区小麦籽粒中的重金属浓度。预测的小麦籽粒重金属浓度与化学分析测得的含量高度一致,与可接受的均方根误差RMSE呈显着相关性(r 2

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