冷压核桃油伪造与食用油检测使用Vis-NIR光谱学
Georgiana Fediuc1, Mariana Spinei2, Mircea Oroian1
1Faculty of Food Engineering, Stefan Cel Mare University of Suceava, 13 Universitatii Street, 720229 Suceava, Romania.
Foods (Basel, Switzerland)
|November 27, 2025
概括
紫外线-Vis-NIR光谱学有效地检测到食用油的改. 这种方法可以准确地识别诸如核桃,菜和向日等油中的污染物,提供可靠的质量控制工具.
科学领域:
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
- 频谱学是一种光谱学.
背景情况:
- 食用油的改是对食品安全和经济欺诈的重大关注.
- 准确的检测方法对于确保石油的真实性和质量至关重要.
研究的目的:
- 评估UV-Vis-NIR光谱法,用于检测冷压核桃,菜,向日和大豆油中的改.
- 评估各种光谱预处理方法和化学测量模型,以实现最佳的伪造检测.
主要方法:
- 紫外线-Vis-NIR光谱 (350-1650nm) 从真实和造的食用油中收集.
- 数据预处理包括规范化,SNV,MSC和衍生方法.
- 使用化学测量技术,如主要成分分析 (PCA),线性差异分析 (LDA),部分最小方程线性差异分析 (PLS-DA) 和部分最小方程回归 (PLS-R).
主要成果:
- 基于与颜料和脂质相关的光谱区域,PCA揭示了真实样本和造样本之间的明显分离.
- 通过使用基线纠正的光谱,PLS-DA实现了100%的准确性来区分真油和伪造油.
- 部分最小平方回归准确地预测了改的程度,性能因预处理方法而异.
结论:
- 紫外线-Vis-NIR光谱学,结合化学分析,是检测食用油改的强大而准确的工具.
- PLS-DA在样本分类方面表现出卓越的性能,而PLS-R有效量化了改水平.
- 优化的光谱预处理显著提高了食品分析中光谱方法的可靠性.
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