State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Environ Int. 2022 Sep;167:107424. doi: 10.1016/j.envint.2022.107424. Epub 2022 Jul 20.
This paper presents a novel chain model named soil-food-human (SFH) for clarifying the biogeochemical cascades among the triple challenges of cadmium contamination, food safety, and related public health effect. The model was developed based on the integration of spatial distribution pattern of soil environment and the biogeochemical process of cadmium in soil-rice-human health, and it was validated through a case study. In soil environment terms, SFH predicted the spatial distribution of soil properties with an average prediction accuracy of 82.28%. In food production terms, the SFH can identify the safe production zones for planting rice and unsafe area for adjusting croppingsystems with a relative error of 39.41%. In food consumption terms, SFH mapped the high-resolution map of cadmium exposure dose, which gives a new solution to assess the food safety risks for self-sufficient populations. For the health effect of rice cadmium exposure, SFH simulated the spatiotemporal pattern of urinary cadmium based on toxicokinetic which revealed the health effect of rice cadmium exposure. The chain model provides a new insight in understanding the biogeochemical cascades between food production, food safety, and public health, making it possible to develop a comprehensive strategy to tackle cadmium pollution in soil-rice-human health system.
本文提出了一个名为“土壤-食物-人类（SFH）”的新型链式模型，用于阐明镉污染、食品安全和相关公共健康影响这三重挑战之间的生物地球化学级联。该模型是基于土壤环境的空间分布模式和土壤-水稻-人体健康中镉的生物地球化学过程的综合而开发的，并通过案例研究进行了验证。在土壤环境方面，SFH 预测了土壤特性的空间分布，平均预测精度为 82.28%。在粮食生产方面，SFH 可以识别种植水稻的安全生产区和调整种植制度的不安全区域，相对误差为 39.41%。在食品消费方面，SFH 绘制了高分辨率的镉暴露剂量图，为评估自给自足人群的食品安全风险提供了新的解决方案。对于水稻镉暴露的健康影响，SFH 基于毒代动力学模拟了尿镉的时空分布，揭示了水稻镉暴露的健康影响。该链式模型为理解食物生产、食品安全和公共健康之间的生物地球化学级联提供了新的视角，为开发针对土壤-水稻-人体健康系统中镉污染的综合策略提供了可能。
