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在食品中的多环芳的GC-MS分析的QuEChERS方法开发

Jihun Jeong¹, Minju Koo¹, Joon-Goo Lee¹

¹Department of Food Science and Biotechnology, Seoul National University of Science & Technology, Seoul, 01811 South Korea.

Food science and biotechnology

|July 14, 2025

概括

一种新的QuEChERS方法准确量化了各种食品中的八种多环芳 (PAH). 这种经过验证的方法确保了可靠的PAH检测,大豆油显示最高水平.

科学领域:

食品化学食品化学
分析化学分析化学
环境科学环境科学

背景情况:

多环芳 (PAH) 是常见的食品污染物.
准确检测食品中的PAH对于公共卫生至关重要.
现有的PAH分析方法可能是复杂和耗时的.

研究的目的:

开发和验证一种简化方法,用于在各种食品矩阵中确定八种PAH.
评估用于PAH分析的QuEChERS (快速,轻松,廉价,有效,坚固和安全) 技术的效率和可靠性.
为了确定具有最高PAH污染水平的食品类型.

主要方法:

使用乙尼烯提取PAHs.
提取物的净化使用各种吸附剂组合.
气色谱-质谱 (GC-MS) 用于化合物识别和量化.
在多个食品矩阵中验证方法.

主要成果:

对所有8种PAH的校准曲线的优异线性 (R2 > 0.99).
低检测极限 (LODs:0.0060.035μg/kg) 和量化极限 (LOQs:0.0190.133μg/kg) 是一个极限.
在不同的尖端水平和食品类型中,高回收率 (86.3109.6%) 和良好的精度 (0.46.9%).
在大豆油中检测到的PAH含量最高,其次是肉和甘油.

结论:

与GC-MS相结合的QuEChERS方法为分析食品中的PAH提供了强大而高效的方法.
该方法显示出出色的性能特征,适用于常规食品安全监测.
大豆油,肉和大麻油被确定为关键的食物矩阵,需要注意PAH污染.

关键词:

方法开发方法的开发方法.监控监控监控监控这些PAHs是PAH.奎瑟尔人奎瑟尔人验证验证验证验证

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