稳定同位素和多元元素分析与统计建模相结合,用于沙夫兰原产地认证
Cathrine Terro1,2, Lidija Strojnik2, Doris Potočnik2
1Jožef Stefan International Postgraduate School, Ljubljana, Slovenia.
Food chemistry: X
|November 11, 2025
概括
由于欺诈风险,验证沙夫兰原产地至关重要. 这项研究使用稳定同位素和元素分析,在确定地理来源和检测错误标签的产品方面达到94%的准确性.
科学领域:
- 食品科学与技术 食品科学与技术
- 分析化学 分析化学
- 农业科学 农业科学
背景情况:
- 番茄 (Crocus sativus L.) 是一种高价值的香料,容易被错误标签和欺诈.
- 复杂的供应链加剧了伪造和误导来源的风险.
- 确保藏红花的真实性对于消费者信任和公平贸易至关重要.
研究的目的:
- 开发和验证一种可靠的分析方法,用于验证沙夫兰的地理来源.
- 识别关键的同位素和元素标记,以区分沙夫兰来源.
- 评估商业沙夫兰样本中错误标签的普遍性.
主要方法:
- 综合稳定同位素比率分析 (δ2H, δ13C, δ15N, δ18O, δ34S) 使用同位素比率质谱法 (IRMS).
- 通过感应合等离子体质谱法 (ICP-MS) 进行多元元素分析.
- 先进的统计建模,包括直角局部最小平方差分分析 (OPLS-DA) 和数据驱动的软独立类类类比模型 (DD-SIMCA).
主要成果:
- 在地理原产地歧视方面,OPLS-DA实现了94%的分类准确度.
- 关键的区分变量包括 δ2H, δ15N, K, Ca, δ13C, Sr, Mn, Co 和 Zn.
- 元素比率 (Rb/Sr,K/Rb,Ca/Sr) 和额外的同位素 (δ18O,δ34S) 精炼分类,特别是对于摩洛哥的沙夫兰.
- 在约15%的商业样本中,DD-SIMCA表明了潜在的错误标签,伊朗标签产品的标签为24%.
结论:
- 结合稳定同位素和多元元素分析提供了一个强大的工具,以验证香的来源.
- 开发的方法可以有效地检测错误标记的番茄,提高供应链的透明度.
- 强有力的分析验证对于打击欺诈和确保沙夫兰市场完整性至关重要.
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