使用分子网络解读食品包装材料中化学物质的复杂性
Elsa Omer1, Ali Bakiri2, Yves-Alexis Hammel1
1Nestlé Institute of Packaging Sciences, Nestlé Research, Société des Produits Nestlé S.A., 1015 Lausanne, Switzerland.
Food chemistry
|August 29, 2024
概括
分子网络 (MN) 有助于识别从生物塑料迁移到食品中的未知化学物质. 这种先进的技术,使用液体染色学-高分辨率质谱,改善食品包装安全评估.
科学领域:
- 食品科学与技术 食品科学与技术
- 分析化学是一种分析化学.
- 材料科学是一种材料科学.
背景情况:
- 从包装到食品中的化学物质迁移构成消费者暴露的风险.
- 准确识别迁移的化学物质对于食品安全评估至关重要.
- 了解包装材料的组成是安全评估的第一步.
研究的目的:
- 探索分子网络 (MN) 的实用性,以识别从生物塑料中提取的化学物质.
- 为了比较MN的有效性与化学物质识别的传统手动方法.
- 加强食品包装材料的安全评估.
主要方法:
- 使用液体染色学-高分辨率质谱法 (LC-HRMS) 分析两种生物塑料配方.
- 应用分子网络 (MN) 方法用于数据处理和解释.
- 与传统的手动数据分析方法进行比较.
主要成果:
- 该方法成功识别了未知的化学物质,包括一系列含有azelaic acid的新型寡合物.
- MN促进了提取物中化学家族的更快可视化.
- MN强调了与此无关的化学物质,有助于确定进一步调查的优先级.
- 传统的手工方法不足以识别这些新型化合物.
结论:
- 分子网络是识别食品包装材料中未知移民的强大工具.
- 在安全评估中,MN显著提高了化学品识别的效率和范围.
- 这种方法提高了确保食品包装安全的能力.
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