Portable Hyperspectral Imaging for Real-Time Meat Authentication

Yu et al. Meat species authentication using portable hyperspectral imaging. Volume 12, 2025 https://doi.org/10.3389/fnut.2025.1577642

Meat species fraud poses significant risks to consumer rights and food safety. Hyperspectral imaging (HSI), which captures both spectral and spatial data, has emerged as a powerful tool for detecting food adulteration and verifying authenticity. In this study, researchers developed a portable HSI device designed for rapid, on-site analysis of meat products.

The system, managed by a Raspberry Pi, features a spectral resolution of 5 nm and a spatial resolution of 0.1 mm, allowing precise detection of adulteration. To enhance versatility, a model transfer approach was introduced, enabling consistent performance across different instruments. Using a support vector machine (SVM) classifier combined with spectral space transformation, the method achieved a high classification accuracy of 94.91%.

A visualization map was also generated to highlight the distribution of adulteration within meat samples, offering practical insights for fraud detection. This portable HSI solution presents a promising advance in food quality monitoring and supports real-time decision-making in the field.

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