使用近红外光谱作为非目标方法的食品完整性评估和欺诈检测的创新:迈向智能产品和过程控制

NIR News Pub Date : 2020-12-01 DOI:10.1177/0960336020978715
Lola Pérez-Marín
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引用次数: 1

摘要

本文介绍了使用近红外光谱传感器作为非靶向方法的可能性,以及它作为打击食品欺诈的关键工具的关键重要性,允许检测意想不到的变化或化合物,但采用整体方法。一个使用这种非目标方法来确定橙子采后冷藏的最佳持续时间的例子被展示。提出了基于使用代表光谱距离值的Shewhart控制图的方法,以及该程序要考虑的临界点。
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Innovation for food integrity assessment and fraud detection using NIRS as a nontargeted method: Towards intelligent product and process control
This paper introduces the possibilities of using near-infrared spectral sensors as a nontargeted method, and its pivotal importance as a key tool to fight against food fraud, allowing the detection of unexpected alterations or compounds, but with a holistic approach. An example of using this nontargeted approach to determine the optimal duration of postharvest cold storage of oranges is shown. The methodology based on the use of Shewhart control charts that represent the values of spectral distances, and the critical points of this procedure to consider, are presented.
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