开发一种基于ATR-FTIR光谱学的方法,以检测添加糖伪造的糖
Shaghig Bilamjian1, Mazen Bahadi1, Ashraf Ismail1
1Department of Food Science and Agricultural Chemistry, McGill University, Montreal, Canada.
Journal of the science of food and agriculture
|October 23, 2023
概括
减弱的总反射里埃变换红外光谱 (ATR-FTIR) 可以检测到糖的伪造,金色的准确率为93.9%,珀色的准确率为92.3%. 需要进一步改进来检测深度叶糖的检测.
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:
- 食品改是一个重大的全球问题,影响产品完整性和消费者信任.
- 糖是一种高价值商品,面临着与更便宜的糖混合的风险.
研究的目的:
- 为了研究减弱总反射里埃变换红外光谱 (ATR-FTIR) 探测糖中改的功效.
- 开发一种快速简单的方法来识别不同颜色等级的伪造的糖.
主要方法:
- 使用ATR-FTIR光谱仪从糖样本收集光谱数据.
- 开发了用于定性分析的光谱库和化学测量模型.
- 实现了基于第一个导数相关性用于伪造检测的相似性搜索算法.
主要成果:
- 开发的方法在检测黄金 (93.9%) 和珀 (92.3%) 叶糖等级的造中取得了高准确性.
- 该方法对深度糖的特异性较低 (33.3%),总体检测准确率为81.4%.
- 在特定等级的ATR-FTIR光谱学证明有效地区分伪造和非伪造的样本.
结论:
- 在糖供应链中,ATR-FTIR方法对早期伪造检测有希望,特别是在金色和珀色等级.
- 需要进一步的研究和方法改进,以提高暗级糖的检测能力.
- 这种技术提供了一种简单而快速的方法,以加强树行业的食品质量控制.
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