Using machine learning to predict soil lead relative bioavailability.

Journal: Journal of hazardous materials
PMID: 39591930

Abstract

Although the relative bioavailability (RBA) can be applied to assess the effects of Pb on human health, there is no definition and no specific data of Pb-RBA to different soil sources and endpoints in vivo. In this study, we estimated the Pb-RBA from different soil sources and endpoints based on machine learning. The Pb-BAc and Pb-RBA in soils were found to be mostly in the range of 20-80 %, which is different from the USEPA Pb-RBA of 60 % in soils. The mean Pb-RBA for different biological endpoints in vivo predicted using the RF model were 49.94 ± 18.65 % for blood; 60.15 ± 26.62 %, kidney; 60.90 ± 21.51 %, liver; 50.70 ± 17.56 %, femur; and 62.89 ± 16.64 % as a combined measure. Pb-RBA of shooting range soils was 88.21 ± 16.92 % (mean), spiked/aged soils 77.11 ± 14.05 % and certified reference materials 73.70 ± 20.31 %; agricultural soil 68.28 ± 18.93 %, urban soil 64.36 ± 21.82 %, mining/smelting soils 53.99 ± 17.66 %, and industrial soils 47.71 ± 20.35 %. This study is first to define the Pb-RBA according to various soil sources and endpoints in vivo with the objective of providing more accurate Pb-RBA data for soil lead risk assessment.

Authors

  • Shuang Zhang
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.
  • Xiaoping Li
    Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, China.
  • Tunyang Geng
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Weixi Zhang
    Intelligent Machinery Research Institute, Harbin University of Science and Technology, Harbin, China.
  • Xueming Zheng
    Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, China. biozxm@163.com.
  • He Sheng
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Yueheng Jiang
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Pengyuan Jin
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Xuelian Kui
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Huimin Liu
    Department of Cardiology, The Key Laboratory of Myocardial Ischemia Chinese Ministry of Education Harbin, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, People's Republic of China.
  • Ge Ma
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Jiang Yun
    Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
  • Xiangyang Yan
    International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China; School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China.
  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Beatriz Galindo-Prieto
    MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, 80 Wood Lane, London W12 0BZ, UK; NIHR Health Protection Research Units in Environmental Exposures and Health, and Chemical and Radiation Threats and Hazards, Imperial College London, London, UK.
  • Frank J Kelly
    Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, W12 0BZ, London, UK.
  • Ian Mudway
    MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, 80 Wood Lane, London W12 0BZ, UK; NIHR Health Protection Research Units in Environmental Exposures and Health, and Chemical and Radiation Threats and Hazards, Imperial College London, London, UK.

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