红外光谱和化学测量用于预测处女橄油的商业类别,并支持小组测试
Ilaria Grigoletto1, Chiara Cevoli2, Anastasios Koidis3
1Department of Agricultural and Food Sciences, Alma Mater Studiorum - Università di Bologna, Piazza Gabriele Goidanich 60, 47521 Cesena, Italy.
里埃转换红外 (FT-IR) 光谱学有效选处女橄油 (VOO) 的质量. 这种方法在区分非食用兰 (LOO) 和更高等级的超处女 (EVOO) 和处女 (VOO) 方面显示出希望,支持更快的质量评估.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
背景情况:
- 专家小组测试是欧盟官方用于分级处女橄油 (VOO) 的传感方法,耗时且昂贵.
- 需要快速和可持续的仪器方法来选VOO,并通过减少样本负载来支持小组测试.
- 光谱技术为快速VOO成分分析和质量分级提供了一个潜在的解决方案.
研究的目的:
- 开发快速和可持续的工具方法来选VOO质量.
- 探索近红外 (NIR),富里埃变换红外 (FT-IR) 和拉曼光谱的潜力,用于VOO分析.
- 通过更快地识别VOO商业类别来支持官方小组测试.
主要方法:
- 分析了100个VOO样本,分为欧盟官方的三个级别:超处女 (EVOO),处女 (VOO) 和灯 (LOO).
- 使用了三个光谱技术:NIR,FT-IR和拉曼光谱.
- 应用部分最小方程差异分析 (PLS-DA) 模型对FT-IR数据进行分类.
主要成果:
- 最初的光谱分析显示,由于典型的三糖振动,特异性较低.
- 与PLS-DA模型相结合的FT-IR数据显示出有希望的结果,特别是在区分LOO与非LOO (VOO和EVOO) 方面.
- 交叉验证实现了高分类准确度,从81%到96%不等,LOO与非LOO模型表现最好.
结论:
- FT-IR光谱学与化学分析相结合,显示出有很大的潜力,可以从更高质量的处女 (VOO) 和超处女 (EVOO) 等级中区分食用不好的兰 (LOO) 橄油.
- 开发的基于FT-IR的模型可以帮助简化VOO质量评估过程.
- 建议进行进一步的研究,以提高模型的稳定性,并扩展其应用,以区分所有三个VOO质量级别.
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