基于深度学习辅助的便携式拉曼光谱技术,快速而非破坏性地检测到中的甲伪造
Chencheng Wei1, Jiheng Zhang2, Gaozheng Li2
1College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China.
Food chemistry
|July 3, 2025
概括
一种新方法使用便携式拉曼光谱和深度学习来检测海鲜中的非法甲 (FA). 这种非破坏性技术可以快速地在现场检测到中的甲污染.
科学领域:
- 食品安全分析 食品安全分析
- 频谱学是一种光谱学.
- 化学领域的人工智能
背景情况:
- 甲 (FA) 是一种致癌物质,非法用作海鲜防腐剂.
- 传统的FA检测方法通常具有破坏性,并且在现场使用是不切实际的.
- 需要在海鲜中进行非破坏性,实时检测FA.
研究的目的:
- 开发一种非破坏性的,可在现场部署的方法,用于检测海鲜中的甲残留物.
- 使用便携式拉曼光谱仪与深度学习模型相结合,用于FA检测.
- 为了在安全和滥用水平的门上实现FA的准确和灵敏的检测.
主要方法:
- 使用便携式拉曼光谱仪从表面收集光谱数据.
- InceptionTime深度学习模型是使用FA-负和FA-正拉曼光谱数据进行训练的.
- 对于光谱分析,不需要预处理样本.
- 用代谢分析和体重可视化来理解模型的重点.
主要成果:
- 开发的模型在5mg/kg值时达到84.40%的精度,在100mg/kg值时达到85.17%的精度.
- 该模型确定了与氨基酸和素结合蛋白相关的特定拉曼峰值.
- 蒂莫纳西克和西班牙菜被确定为甲添加的直接指标.
结论:
- 组合的便携式拉曼光谱和InceptionTime深度学习方法为实时,现场检测海鲜中的甲提供了实用的解决方案.
- 这种方法可以快速评估关于甲污染的海鲜安全性.
- 该研究确定了中甲造假的特定生物标志物.
相关概念视频
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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