Vega-Castellote Miguel, Sánchez María-Teresa, Torres-Rodríguez Irina, Entrenas José-Antonio, Pérez-Marín Dolores
Department of Bromatology and Food Technology, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Department of Animal Production, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Foods. 2024 May 22;13(11):1612. doi: 10.3390/foods13111612.
Food fraud is a major threat to the integrity of the nut supply chain. Strategies using a wide range of analytical techniques have been developed over the past few years to detect fraud and to assure the quality, safety, and authenticity of nut products. However, most of these techniques present the limitations of being slow and destructive and entailing a high cost per analysis. Nevertheless, near-infrared (NIR) spectroscopy and NIR imaging techniques represent a suitable non-destructive alternative to prevent fraud in the nut industry with the advantages of a high throughput and low cost per analysis. This review collects and includes all major findings of all of the published studies focused on the application of NIR spectroscopy and NIR imaging technologies to detect fraud in the nut supply chain from 2018 onwards. The results suggest that NIR spectroscopy and NIR imaging are suitable technologies to detect the main types of fraud in nuts.
食品欺诈是坚果供应链诚信面临的重大威胁。在过去几年中，人们开发了一系列使用多种分析技术的策略，以检测欺诈行为并确保坚果产品的质量、安全性和真实性。然而，这些技术大多存在速度慢、具有破坏性且每次分析成本高的局限性。尽管如此，近红外（NIR）光谱和近红外成像技术是一种合适的无损检测方法，具有高通量和每次分析成本低的优点，可用于防止坚果行业的欺诈行为。本综述收集并纳入了自2018年以来所有已发表的专注于应用近红外光谱和近红外成像技术检测坚果供应链欺诈行为的研究的所有主要发现。结果表明，近红外光谱和近红外成像是检测坚果中主要欺诈类型的合适技术。
