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首页> 外文会议>IEEE biomedical circuits and systems conference >Authentication and traceability of food products through the supply chain using NQR spectroscopy
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Authentication and traceability of food products through the supply chain using NQR spectroscopy

机译：使用NQR光谱在整个供应链中对食品进行认证和可追溯性

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摘要

Maintaining the security and integrity of our food supply chain has emerged as a critical need. In this paper, we describe a novel authentication approach that can significantly improve the security of the food supply chain. It relies on applying nuclear quadrupole resonance (NQR) spectroscopy to authenticate the contents of packaged food products. NQR is a non-invasive, non-destructive, and quantitative radio frequency (RF) spectroscopic technique. It is sensitive to subtle features of the solid-state chemical environment such that signal properties are influenced by the manufacturing process, thus generating a manufacturer-specific watermark or intrinsic tag for the product. Such tags enable us to uniquely characterize and authenticate products of identical composition but from different manufacturers based on their NQR signal parameters. These intrinsic tags can be used to verify the integrity of a product and trace it through the supply chain. We apply a support vector machine (SVM)-based classification approach that trains the SVM with measured NQR parameters and then authenticates food products by checking their test responses. Measurement on an example substance using semi-custom hardware shows promising results (95% classification accuracy) which can be further improved with improved instrumentation.
机译：维护我们食品供应链的安全性和完整性已成为一项迫切需要。在本文中，我们描述了一种新颖的身份验证方法，该方法可以显着提高食品供应链的安全性。它依靠应用核四极共振（NQR）光谱技术来鉴定包装食品的内容。 NQR是一种非侵入性，非破坏性且定量的射频（RF）光谱技术。它对固态化学环境的细微特征很敏感，因此信号特性会受到制造过程的影响，从而为产品生成制造商特定的水印或固有标签。这样的标签使我们能够根据其NQR信号参数来独特地表征和鉴定成分相同但来自不同制造商的产品。这些内在标签可用于验证产品的完整性并在供应链中进行追踪。我们应用基于支持向量机（SVM）的分类方法，该方法使用测量的NQR参数训练SVM，然后通过检查食品的测试响应来对食品进行身份验证。使用半定制硬件对示例物质进行的测量显示出令人鼓舞的结果（95％的分类精度），可以通过改进仪器来进一步改善。

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