拉曼检测系统中微量试样自动混匀控制装置设计与试验

Design and Test of Automatic Mixing and Control Device for Micro Sample in Raman Detection System

以提高表面增强拉曼光谱重复性为目的,为保证表面增强金属纳米颗粒和分析物混合吸附的均一性,基于实验室自行搭建的拉曼点检测装置,设计了表面增强剂与微量液态样品自动混匀控制拉曼光谱检测硬件系统。基于NI LabVIEW软件开发工具,采用G语言编写了实时控制分析软件,实现了微量液态样品和表面增强剂自动混匀进样、光谱采集及数据处理等一键式操作。以市售蜂蜜中硝基呋喃妥因和磺胺甲氧哒嗪两种兽药残留为检测对象,通过试验验证了表面增强剂与微量液态样品自动混匀控制拉曼光谱检测系统的稳定性。结果表明,利用表面增强剂与微量液态样品自动混匀控制拉曼检测系统采集的蜂蜜中两种兽药拉曼特征平均峰值强度变异系数最低分别为0.0322和0.0361,建立的最优一元线性回归模型验证集决定系数分别为0.9619和0.9790,均方根误差分别为0.6723 mg/kg和0.5186 mg/kg。该系统显著提高了拉曼光谱的稳定性,所建立的兽药定量预测模型精确,可为液态样品表面增强拉曼光谱快速定量检测提供技术支持。

To improve the repeatability of surface enhanced Raman spectroscopy(SERS)and ensure the homogeneity of the mixed adsorption of surface enhanced metal nanoparticles and analytes,a hardware system for automatic mixing control of surface enhancer and micro liquid samples was developed to ensure the uniform mixing effect of each sample with the surface enhancer based on the self-built laboratory Raman point detection device.At the same time,the real-time control analysis software was compiled with G language to implement one-button operations of automatic mixing and sampling of trace liquid samples and surface enhancers,spectrum acquisition and data processing by the NI LabVIEW software development tool.Finally,the stability of Raman detection system with automatic mixing of surface enhancers and micro liquid samples was verified by testing nitrofurantoin veterinary drug residues in commercially available honey.Compared with Raman point detection system,the Raman spectrum detection system for automatic mixing of surface enhancer and micro liquid sample exhibited a more satisfactory result that the lowest variation coefficients of Raman characteristic peaks for nitrofurantoin and sulfamethoxypyridazine were 0.0322 and 0.0361,respectively.In addition,the linear regression models of nitrofurantoin and sulfamethoxypyridazine in honey were established.The optimal validation set determination coefficients were 0.9619 and 0.9790,and the root mean square errors were 0.6723 mg/kg and 0.5186 mg/kg,respectively.These findings demonstrated that the system studied could significantly enhance the stability of Raman spectra,and the obtained quantitative prediction models of veterinary drugs were accurate,and it can offer technical support for the rapid quantitative detection of liquid samples by surface enhanced Raman spectroscopy.