揭示隐藏的健康风险:机器学习增强模拟新鲜产品包装中的塑料添加剂释放动力学
Baojun Ding1, Fangfang Yang1, Wenjing Han2
1School of Chemistry, Dalian University of Technology, Dalian 116024, China.
Environmental science & technology
|June 10, 2025
概括
新鲜产品包装 (FPP) 中的添加剂可以迁移到食品中,造成健康风险. 非酸盐增塑剂很常见,其迁移受到包装类型和温度的影响,因此需要控制添加剂的使用.
科学领域:
- 食品科学与技术 食品科学与技术
- 环境健康 环境健康
- 聚合物化学 聚合物化学
背景情况:
- 新鲜产品包装 (FPP) 对于食品保护至关重要.
- 在FPP中的添加剂及其健康风险受到有限的关注.
- 添加剂可以从包装中迁移到食品中.
研究的目的:
- 调查FPP中的添加剂的存在和迁移.
- 评估与FPP添加剂相关的潜在人类健康风险.
- 确定影响增量迁移的因素.
主要方法:
- 分析了来自中国的6个FPP类别的73种添加剂.
- 应用Weibull模型和机器学习进行迁移评估.
- 添加剂度和迁移比率的量化.
主要成果:
- 检测到43种添加剂,其中非酸盐增塑剂 (NPP) 是最常见的.
- 迁移比率从10.5%到完全迁移不等.
- 泡包装显示出最快的迁移;2-乙烯酸 (EHA) 和酸三乙烯 (TEP) 构成健康风险.
结论:
- 由于增加的迁移,FPP是人类健康风险的重要来源.
- 迁移受添加物结构,FPP材料和温度的影响.
- 迫切需要在塑料包装中控制和知情地使用添加剂.
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