A meta-analysis and experimental survey of heavy metals pollution in agricultural soils

Samuel Che Nde , Obono Mba Felicite , Gabriel Sanjo Aruwajoye , Lobina Gertrude Palamuleni
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Abstract

Heavy metal (HM) pollution in agricultural soils represents a hidden danger to food security worldwide. In this paper, the spatio-temporal trends of heavy metals from eight countries and 50 soil samples from agricultural farmland were evaluated through a combination of field surveys and meta-analysis to provide a comprehensive report on heavy metal pollution. The soil samples were analysed using inductively coupled plasma–mass spectrometry (ICP-MS) (Perkin Elmer Nixon 300Q). The contamination factor (CF) and pollution load index (PLI), and diagnostic tests on the extracted data were calculated. The results of the CF in the soils indicate extreme contamination for Cr, suggesting ecotoxicological effects, while the PLI values range from baseline to moderate pollution for Cd, Hg, Cu, Zn, and Ni, except for Cr, which shows very high pollution, suggesting that the soils have undergone some form of deterioration. The meta-analysis results of the 50 reviewed articles published between 2010 and 2023 showed increasing trends for all the HMs. The weighted mean values of Cd, Cr, Hg, Cu, Zn, As, and Ni were in the range of 0.0-222.7, 0.08-289.2, 0.03-193, 2.94-198.1, 0.0-771.1, 0.0-231, and 1.71-99.75.6 mg/kg, respectively. The mean values of Cd, Hg, Zn and As exceeded two to three times the values of China National Environmental Monitoring Centre (CNEMC) European Union's most cited guideline (MEF), and the rock crust guideline. The results of the correlation matrix heatmap revealed a highly positive correlation between Cr and Ni (R2 = 0.66), suggesting that these elements have the same source and are likely prevalent in agricultural soils. The spatial origin of the publications reveals that 82% of the studies were from China followed by South Africa and Italy accounting for 4% respectively while Nigeria, Egypt, Morocco, Iran, and Turkey account for 2% each. The findings of this study have important implications for environmental regulation on agricultural food protection from heavy metal pollution. Unlike previous meta-analysis studies which often adopt a “silos” method, this study highlights a nexus approach that integrates both meta-analysis and experimental studies which could establish a more comprehensive understanding of heavy metal pollution in agricultural soils.

农业土壤中重金属污染的荟萃分析和实验调查
农业土壤中的重金属(HM)污染是全球粮食安全的隐患。本文通过实地调查和荟萃分析相结合的方法,评估了八个国家和 50 个农田土壤样本中重金属的时空变化趋势,为重金属污染提供了一份全面的报告。土壤样本采用电感耦合等离子体质谱仪(ICP-MS)(Perkin Elmer Nixon 300Q)进行分析。计算了污染因子(CF)和污染负荷指数(PLI),并对提取的数据进行了诊断测试。土壤中的污染因子结果表明,铬的污染程度极高,表明其具有生态毒理学效应;而污染负荷指数值则从基本污染到中度污染不等,镉、汞、铜、锌和镍除外,铬的污染程度非常高,表明土壤已经发生了某种形式的恶化。对 2010 年至 2023 年间发表的 50 篇综述文章进行的元分析结果显示,所有 HMs 均呈上升趋势。镉、铬、汞、铜、锌、砷和镍的加权平均值范围分别为 0.0-222.7、0.08-289.2、0.03-193、2.94-198.1、0.0-771.1、0.0-231 和 1.71-99.75.6 毫克/千克。镉、汞、锌和砷的平均值超过了中国国家环境监测中心(CNEMC)、欧盟最常引用准则(MEF)和岩壳准则值的 2 至 3 倍。相关矩阵热图的结果显示,铬和镍之间存在高度正相关(R2 = 0.66),这表明这两种元素具有相同的来源,并可能在农业土壤中普遍存在。出版物的空间来源显示,82%的研究来自中国,其次是南非和意大利,分别占 4%,而尼日利亚、埃及、摩洛哥、伊朗和土耳其各占 2%。本研究的结果对保护农业食品免受重金属污染的环境监管具有重要意义。以往的荟萃分析研究通常采用 "筒仓式 "方法,而本研究则不同,它强调了一种将荟萃分析和实验研究相结合的关联方法,这种方法可以更全面地了解农业土壤中的重金属污染。
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来源期刊
Journal of trace elements and minerals
Journal of trace elements and minerals Medicine and Dentistry (General), Analytical Chemistry, Environmental Science (General), Toxicology, Biochemistry, Genetics and Molecular Biology (General), Nutrition, Veterinary Science and Veterinary Medicine (General)
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