关键词: Bioaccessibility Cadmium Diffusive gradients in thin-films Predictive models Soil-rice-human system

Mesh : Oryza / metabolism chemistry Cadmium / metabolism analysis Soil Pollutants / analysis metabolism Humans Biological Availability Soil / chemistry Environmental Monitoring / methods Risk Assessment Metals, Heavy / analysis metabolism

来  源:   DOI:10.1016/j.ecoenv.2024.116509

Abstract:
Cadmium, as a typical heavy metal, has the potential to induce soil pollution and threaten human health through the soil-plant-human pathway. The conventional evaluation method based on the total content in soil cannot accurately represent the content migrated from the food chain to plants and the human body. Previous studies focused on the process of plant enrichment of heavy metals in soil, and very few studies directly predicted human exposure or risk through the labile state of Cd in soil. Hence, a relatively accurate and convenient prediction model of Cd release and translocation in the soil-rice-human system was developed. This model utilizes available Cd and soil parameters to predict the bioavailability of Cd in soil, as well as the in vitro bioaccessibility of Cd in cooked rice. The bioavailability of Cd was determined by the Diffusive Gradients in Thin-films technology and BCR sequential extraction procedure, offering in-situ quantification, which presents a significant advantage over traditional monitoring methods and aligns closely with the actual uptake of heavy metals by plants. The experimental results show that the prediction model based on the concentration of heavy metal forms measured by BCR sequential extraction procedure and diffusive gradients in thin-films technique can accurately predict the Cd uptake in rice grains, gastric and gastrointestinal phase (R2=0.712, 0.600 and 0.629). This model accurately predicts Cd bioavailability and bioaccessibility across the soil-rice-human pathway, informing actual human Cd intake, offering scientific support for developing more effective risk assessment methods.
摘要:
镉,作为一种典型的重金属,有可能通过土壤-植物-人类途径诱发土壤污染并威胁人类健康。传统的基于土壤总含量的评价方法不能准确表示从食物链迁移到植物和人体的含量。以往的研究集中在土壤中重金属的植物富集过程,很少有研究通过土壤中Cd的不稳定状态直接预测人类暴露或风险。因此,建立了土壤-水稻-人系统中Cd释放和转运的相对准确和方便的预测模型。该模型利用可用的Cd和土壤参数来预测土壤中Cd的生物有效性,以及米饭中Cd的体外生物可及性。通过薄膜技术和BCR顺序提取程序中的扩散梯度确定Cd的生物利用度,提供原位量化,与传统的监测方法相比,它具有显着的优势,并且与植物对重金属的实际吸收密切相关。实验结果表明,基于BCR顺序提取程序测量的重金属形态浓度和薄膜技术中的扩散梯度的预测模型可以准确地预测稻粒中Cd的吸收。胃和胃肠道阶段(R2=0.712,0.600和0.629)。该模型准确地预测了土壤-水稻-人类途径中Cd的生物有效性和生物可及性,告知人类实际Cd摄入量,为开发更有效的风险评估方法提供科学支持。
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