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Rapid evaluation of arsenic contamination in paddy soils using field portable X-ray fluorescence spectrometry

     

摘要

Arsenic(As) in paddy fields is deteriorating food security and human health through rice ingestion. Rice is the dominant food source of arsenic exposure to half of the world's population. Therefore, an in situ effective method for As risk evaluation in paddy soil is strongly needed to avoid As exposure through rice ingestion. Herein, we developed a rapid analytical methodology for determination of As in plant tissues using field portable X-ray fluorescence spectrometry(FP-XRF). This method was applied to rice roots in order to evaluate the As contamination in paddy soils. The results showed that rice roots with iron plaques were superior to rhizosphere soils for generating FP-XRF signals, especially for field sites with As concentrations lower than the soil detection limit of FP-XRF(30.0 mg/kg).Moreover, the strong linear relationships of As concentrations between the rice roots and corresponding leaves and grains proved that the rice root, rather than the soil, is a better predictor of As concentrations in rice grains. The research provides an efficient As monitoring method for As contaminated paddy fields by using wetland plant roots with iron plaques and XRF-based analytical techniques.

著录项

  • 来源
    《环境科学学报:英文版》|2018年第2期|345-351|共7页
  • 作者单位

    Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China;

    State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;

    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China;

    Department of Environmental Science, Xi' an Jiaotong-Liverpool University, Suzhou 215123, China;

    College of Urban Construction and Environmental Engineering, Chongqing University, Chongqing 400045, China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 食品监测;
  • 关键词

    便携式计算机; 风险评估; 砷污染; 土壤; 用地; 荧光; 检查; 稻;

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