食品与机械2025，Vol.41Issue(5)：71-76,6.DOI:10.13652/j.spjx.1003.5788.2025.60006
基于拉曼光谱和时空注意力网络的牛奶掺假检测方法
Milk adulteration detection method based on Raman spectroscopy and spatiotemporal attention networks
摘要
Abstract
[Objective]To enhance the milk adulteration detection accuracy.[Methods]This study proposes a milk adulteration detection method by integrating Raman spectroscopy with a spatiotemporal attention network(STAN).In the method,Raman spectroscopy is employed to extract molecular features,while STAN is applied to capture both temporal and spatial features,with a self-attention mechanism for further emphasizing critical information.[Results]Compared with existing methods,the experimental method increases milk adulteration detection accuracy by an average of 4.5％,precision by about 5.8％,recall by 4.9％,and F1 score by 5.4％.[Conclusion]The experimental method achieves high accuracy and robustness in milk adulteration detection,with strong potential for real-time detection and broad applicability.It can be utilized for online quality monitoring in milk production and regulatory processes and extended to adulteration detection in other foods.关键词
牛奶掺假/拉曼光谱/时空注意力网络/在线检测/食品安全Key words
milk adulteration/Raman spectroscopy/spatiotemporal attention network/online detection/food safety引用本文复制引用
刘延梅,赵宝峰,马慧莲..基于拉曼光谱和时空注意力网络的牛奶掺假检测方法[J].食品与机械,2025,41(5):71-76,6.基金项目
山西省教育科学规划课题(编号:ZJ-07130) （编号:ZJ-07130）
山西省教育教学改革与实践研究项目(编号:202403069) （编号:202403069）
