便携式NIR光谱仪可以同时追踪蜂蜜的植物和地理来源,并检测糖伪造
Marco Caredda1, Marco Ciulu2, Francesca Tilocca3
1Department of Animal Science, AGRIS Sardegna, Loc. Bonassai, 07100 Sassari, Italy.
Foods (Basel, Switzerland)
|October 16, 2024
概括
一种使用FTNIR指纹和化学测量的新型便携式方法可以准确地识别蜂蜜的来源并检测 adulteration. 这种技术有助于确保蜂蜜的质量和真实性,有效打击欺诈行为.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 蜂蜜欺诈,包括误导原产地和伪造,是一个重大的全球性问题.
- 迫切需要简单,快速和可靠的蜂蜜认证方法,以确保产品质量和消费者信任.
- 现有的方法可能是复杂的或耗时的,限制了它们在常规质量控制中的广泛应用.
研究的目的:
- 开发和验证一个便携式的福里埃变换近红外光谱 (FTNIR) 方法,与蜂蜜认证的化学测量相结合.
- 同时评估蜂蜜的可追溯性 (植物和地理来源) 并检测常见糖的改.
- 为快速和准确的蜂蜜质量评估提供可行的解决方案.
主要方法:
- 使用了来自西班牙和萨丁尼亚 (意大利) 的244个多花和单花蜂蜜样本的强大数据集.
- 雇佣的便携式FTNIR指纹与化学测量技术相结合,包括线性差异分析 (LDA) 和部分最小方程 (PLS) 回归.
- 开发了原产地歧视的定性模型和伪造物检测的定量模型.
主要成果:
- 准确地预测了植物和地理来源,分别准确率为90%和95%.
- LDA模型在区分纯蜂蜜和伪造蜂蜜样本方面达到92%以上的准确性.
- 通过PLS回归,可以准确量化伪造剂,在单花蜂蜜中检测到10%以上,在多花蜂蜜中检测到20%以上.
结论:
- 便携式FTNIR光谱与化学测量相结合,是蜂蜜认证的强大而可行的工具.
- 开发的方法有效地解决了蜂蜜可追溯性和改剂检测问题,提供了一个全面的解决方案.
- 这种方法对常规质量控制有很大的潜力,保护消费者免受蜂蜜欺诈.
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