对LC-ESI-IM-qToF-MS和FT-NIR光谱方法进行比较分析,以验证有机和传统蛋的真实性
Henri Lösel1, Johannes Brockelt1, Florian Gärber1
1Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.
Metabolites
|August 25, 2023
概括
这项研究开发了一种脂性液体染色学-电喷射电离-离子流动性-四极飞行时间质谱法 (LC-ESI-IM-qToF-MS) 方法,用于检测有机蛋中的食品欺诈,达到96.3%的准确性. 里叶变换近红外 (FT-NIR) 光谱学可用于初始查.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 生物化学 生化学
背景情况:
- 由于生产成本较高,欧盟对有机蛋的需求不断增长,增加了食品欺诈风险.
- 有机养殖的法律法规需要强有力的方法来确保产品的真实性.
研究的目的:
- 开发一种非向的脂质学LC-ESI-IM-qToF-MS方法,用于检测有机蛋中的食品欺诈行为.
- 为了比较开发的LC-MS方法与福里埃变换近红外 (FT-NIR) 光谱来选潜在的欺诈行为.
- 使用替代最小深度 (SMD) 来进行变量选择和分析技术之间的数据融合.
主要方法:
- 使用270个蛋样本开发一种非向的脂质学LC-ESI-IM-qToF-MS方法.
- 替代最小深度 (SMD) 的应用用于识别关键的脂质和胡卜素生物标志物.
- 使用FT-NIR光谱和使用SMD的低级数据融合进行比较分析.
主要成果:
- 在识别欺诈性有机蛋时,LC-ESI-IM-qToF-MS方法实现了96.3%的分类准确度.
- 作为查方法的FT-NIR光谱学实现了80.0%的准确性,SMD突出显示了脂质和蛋白质相关的光谱区域.
- 数据融合表明,FT-NIR光谱学提供了部分脂质组信息,与LC-MS发现相关.
结论:
- 一种高度准确的LC-ESI-IM-qToF-MS方法可以有效地检测有机蛋中的食品欺诈行为.
- FT-NIR光谱作为一种可行的,低分辨率的查工具,用于识别可疑的卵样.
- 将FT-NIR查与LC-MS确认相结合,为确保有机蛋生产的完整性提供了一个强大的策略.
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