Chen Zhao-Qiong, Fang Chen, Ai Ying-Wei, Gao Hong-Ying, Pan Dan-Dan, Li Xin-Yue
Key Laboratory of Bio-resources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Aug;33(8):2215-8.
The purpose of this paper is as follows: (1) Optimizing the parameters of microwave digestion-atomic absorption spectroscopy (AAS) and establishing method for the determination of heavy metals in artificial soils. (2) Evaluating heavy metal pollution conditions in artificial soil samples from railway rock-cut slopes. The results showed that the mixture of HNO3-H2O2-HF was found to have the best digestion efficiency; under the optimized conditions, the recoveries of the method ranged from 95% to 105%; the measurement precision and the relative deviation were less than 4% and 5%, respectively; the concentrations of Cd, Pb and Zn were significantly higher in the artificial soil on railway rock-cut slope than in the control soil, and they were 4.7, 1.3 and 1.2 times as much as the control soil, respectively; compared to the contents of Cr, Cu and Fe in control soils, there was no significant difference. This research will provide a reliable method for determining metal elements in artificial soils on rock-cut slopes and a theoretical basis for the management of the railway rock-cut slopes.
（1）优化微波消解 - 原子吸收光谱法（AAS）参数，建立人工土壤中重金属的测定方法。（2）评估铁路路堑边坡人工土壤样品中的重金属污染状况。结果表明，HNO3 - H2O2 - HF混合液消解效率最佳；在优化条件下，该方法的回收率为95%至105%；测量精密度和相对偏差分别小于4%和5%；铁路路堑边坡人工土壤中Cd、Pb和Zn的含量显著高于对照土壤，分别是对照土壤的4.7倍、1.3倍和1.2倍；与对照土壤中Cr、Cu和Fe的含量相比，无显著差异。本研究将为路堑边坡人工土壤中金属元素的测定提供可靠方法，为铁路路堑边坡治理提供理论依据。
