Yu Yuewen, Chen Wei, Zhao Dongjie, Zhang Hanwen, Chen Wenliang, Liu Rong, Li Chenxi
State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, China.
School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Front Nutr. 2025 Apr 2;12:1577642. doi: 10.3389/fnut.2025.1577642. eCollection 2025.
Meat species fraud seriously harms the interests of consumers and causes food safety problems. Hyperspectral imaging is capable of integrating spectral and imaging technology to simultaneously obtain spectral and spatial information, and has been widely applied to detect adulteration and authenticity of meat.
This study aims to develop a portable hyperspectral imager (HSI) and a discrimination model for meat adulteration detection. The portable push broom HSI was designed with the spectral resolution of 5 nm and spatial resolution of 0.1 mm, and controlled with the Raspberry Pi to meet the requirement of on situ rapid detection. To improve generalization, the model transfer method was also developed to achieve model sharing across instruments, providing a reliable solution for rapid assessment of meat species.
The results demonstrate that the model transfer method can effectively correct the spectral differences due to instrument variation and improve the robustness of the model. The support vector machine (SVM) classifier combined with spectral space transformation (SST) achieved a best accuracy of 94.91%. Additionally, a visualization map was proposed to provide the distribution of meat adulteration, offering valuable insights for fraud detection.
The portable HSI enables on-site analysis, making it an invaluable tool for various industries, including food safety and quality control.
肉类品种欺诈严重损害消费者利益并引发食品安全问题。高光谱成像能够整合光谱和成像技术以同时获取光谱和空间信息，并已广泛应用于肉类掺假和真伪检测。
本研究旨在开发一种用于肉类掺假检测的便携式高光谱成像仪（HSI）和判别模型。设计的便携式推扫式高光谱成像仪光谱分辨率为5nm，空间分辨率为0.1mm，并由树莓派控制，以满足现场快速检测的要求。为提高通用性，还开发了模型转移方法以实现跨仪器的模型共享，为肉类品种的快速评估提供可靠解决方案。
结果表明，模型转移方法能够有效校正因仪器差异导致的光谱差异，并提高模型的稳健性。支持向量机（SVM）分类器结合光谱空间变换（SST）实现了94.91%的最佳准确率。此外，还提出了一张可视化图以呈现肉类掺假的分布情况，为欺诈检测提供有价值的见解。
便携式高光谱成像仪能够进行现场分析，使其成为包括食品安全和质量控制在内的各个行业的宝贵工具。
