拉曼光谱可原位检测糠醛、丙酮、甲醇、CO及CO2等油中溶解油纸绝缘老化特征物，能解决目前油纸绝缘电气设备油中多老化特征物检测所需设备多、过程复杂、大多需在实验室分析等问题，但最小检测浓度及检测准确度是其实际应用的技术瓶颈。项目研究基于协同选择性表面增强的油纸绝缘老化多特征物拉曼光谱检测方法。揭示油相局域表面等离激元共振的选择性拉曼增强机制，研究结合适配体修饰的协同选择性表面增强方法并研制最优结构协同选择性表面增强基底，实现微量多老化特征物拉曼信号选择性增强及油中高灵敏原位检测；研究基于迭代补峰光谱解析的老化特征物拉曼光谱非线性效应修正方法，建立基于最优内标的油中微量老化特征物拉曼光谱定量分析模型，研究基于协同选择性表面增强的油中老化特征物拉曼光谱检测特性及影响因素与规律，实现油中溶解微量多老化特征物同时原位准确检测，为油纸绝缘电气设备老化特征物现场快速检测奠定基础。

Raman spectroscopy can detect in-situ aging features of oil-paper insulation aging features dissolved in oil such as furfural, acetone, methanol, CO and CO2. It can solve the problems that detecting and analyzing multi-aging features in oil-paper insulation electrical equipment need various equipment, complex processes and most of them need analysis in laboratory. But the minimum detection concentration and detection accuracy are the technical bottlenecks of its field applications. This project studies on Raman spectroscopy detection method for oil-paper insulation multi-aging features based on synergistic selective surface enhancement, reveals the selective Raman enhancement mechanism of plasmon resonance on the surface of oil phase, studies the synergistic selective surface enhancement method combined with aptamer modification and develops surface enhancement substrate in optimal structure, realizing enhancement of trace multi-aging features Raman signal and the in-situ detection in oil with high sensitivity. Besides, this project studies the nonlinear effect correction method of aging features Raman spectroscopy based on iterative peak-preserving spectral analysis, establishes the Raman spectroscopy quantitative analysis model of oil-dissolved trace multi-aging features based on optimal internal standard, studies the Raman spectroscopy detection characteristics of oil-dissolved aging features based on synergistic selective surface enhancement, and its influencing factors and influence laws, realizing simultaneous and accurate detection in-situ of oil-dissolved trace multi-aging features and building the foundation for the rapid detection on-site of aging features in oil-paper insulation electrical equipment.