In milk and milk products, the matrix is complex and the interfering components are large, so it is difficult to separate and enrich formaldehyde. In this study, combined with Surface-Enhanced Raman Scattering (SERS) technology, the self-developed green capture device was used to realize the integration of separation, enrichment and detection of formaldehyde. Firstly, we use fluid dynamics to simulate the heat-fluid coupling working mechanism of the enrichment chemical mechanical device. By exploring the steady-state and transient changes of separation and enrichment gas flow under different working conditions, we designed a purge and separation device with small dead volume and high separation efficiency. We further optimized the purge air velocity and heating voltage to increase sample recovery and shorten the separation and enrichment time of the target. As a result, we have realized the application of green and efficient pre-treatment, which is rapid and green. Finally, we used derivatization strategy to enhance the Raman scattering and combined with colloidal gold nanoparticles (AuNPs) to realize SERS analysis. According to this method, we detected formaldehyde in boxed milk, milk powder and raw milk. Thus, we realized a rapid detection method of formaldehyde in milk from various sources, including exogenous and endogenous formaldehyde.

在乳及乳制品中，基质复杂，干扰成分多，甲醛分离富集困难。本研究结合表面增强拉曼散射（SERS）技术，利用自主研发的绿色捕获装置实现了甲醛的分离、富集和检测一体化。首先，我们利用流体动力学模拟了浓缩化学机械装置的热流耦合工作机理。通过探索不同工况下分离富集气体流量的稳态和瞬态变化，设计了死体积小、分离效率高的吹扫分离装置。我们进一步优化了吹扫空气速度和加热电压，以提高样品回收率并缩短目标的分离和富集时间。从而实现了绿色高效的前处理应用，快速、绿色。最后，我们使用衍生化策略来增强拉曼散射，并结合胶体金纳米粒子 (AuNPs) 实现 SERS 分析。根据这种方法，我们检测了盒装牛奶、奶粉和原料奶中的甲醛。因此，我们实现了一种快速检测多种来源的牛奶中甲醛的方法，包括外源性和内源性甲醛。我们使用衍生化策略来增强拉曼散射，并结合胶体金纳米粒子 (AuNPs) 实现 SERS 分析。根据这种方法，我们检测了盒装牛奶、奶粉和原料奶中的甲醛。因此，我们实现了一种快速检测多种来源的牛奶中甲醛的方法，包括外源性和内源性甲醛。我们使用衍生化策略来增强拉曼散射，并结合胶体金纳米粒子 (AuNPs) 实现 SERS 分析。根据这种方法，我们检测了盒装牛奶、奶粉和原料奶中的甲醛。因此，我们实现了一种快速检测多种来源的牛奶中甲醛的方法，包括外源性和内源性甲醛。