在中国各地不同类型的蔬菜中的积累:饮食暴露风险,以及确定土壤门的新方法
Hao Qi1, Zhong Zhuang1, Huafen Li1
1State Key Laboratory of Nutrient Use and Management, Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China.
Journal of hazardous materials
|September 8, 2025
概括
确定准确的土壤 (Cd) 门值对于安全的蔬菜生产至关重要. 使用条件推断树 (CIT) 和物种灵敏度分布 (SSD) 的新混合模型有效确定了这些关键的土壤Cd水平,提高了食品安全评估.
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 毒理学 毒理学 毒理学
- 食品安全 食品安全
背景情况:
- 蔬菜中的 (Cd) 污染对人类健康构成重大风险.
- 准确的土壤Cd值对于预警系统和确保安全农业生产至关重要.
研究的目的:
- 编制中国土壤和蔬菜中Cd含量的全国范围的数据集.
- 评估与Cd.相关的饮食暴露风险.
- 开发和验证用于推导土壤Cd值的混合方法.
主要方法:
- 编制了关于土壤和植物中Cd度的国家数据集.
- 采用混合方法,将条件推理树 (CIT) 和物种敏感度分布 (SSD) 结合起来.
- 评估了饮食暴露和推的最佳蔬菜消费比例.
主要成果:
- 鉴定了杏仁,黄油,中国白菜,大和大作为高Cd积累剂.
- 为不同类型的蔬菜 (叶类,根茎类,单类,豆类) 推导出优先保护土壤Cd值.
- 与当前的国家标准相比,CITs-SSD模型的准确性有所提高,从而降低了误判率.
结论:
- 新的CITs-SSD方法为建立土壤Cd标准提供了一个科学可靠的方法.
- 衍生土壤Cd值为污染地区的风险评估和管理提供了更高的准确性.
- 这些发现支持加强食品安全措施,以减轻通过饮食暴露于Cd的人类健康风险.
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