Acetone is a reliable index to evaluate the aging state of oil paper insulation. It is of great significance to study a fast, highly sensitive and accurate method of detecting acetone in oil to ensure the safe and stable operation of oil-immersed transformers. In this paper, a method based on surface enhanced Raman spectroscopy for the detection of acetone in oil is investigated. Based on the mechanism of surface-enhanced Raman spectroscopy (SERS), a simulation model of surface-enhanced substrate was constructed using COMSOL software, and it was determined that the enhancement effect was better when silver nanowires/zinc oxide nanorods (Ag/ZnO) composite structure was selected. Ag/ZnO substrates were prepared by solvothermal method and experimentally tuned and characterized to obtain SERS substrates with high enhancement properties. The substrate coupled partial least square (PLS) model was used to establish a method for the detection of acetone in insulating oils, and its limit of quantification for acetone was 0.003 mg/g, which meets the requirements for engineering testing.

丙酮是评价油纸绝缘老化状态的可靠指标。研究一种快速、高灵敏、准确的油中丙酮检测方法，对于保证油浸式变压器的安全稳定运行具有重要意义。本文研究了一种基于表面增强拉曼光谱的油中丙酮检测方法。基于表面增强拉曼光谱（SERS）机理，利用COMSOL软件构建了表面增强基底的仿真模型，确定了银纳米线/氧化锌纳米棒（Ag/ZnO）的增强效果更好。选用复合结构。通过溶剂热法制备Ag/ZnO基底，并通过实验调整和表征以获得具有高增强性能的SERS基底。采用基质耦合偏最小二乘（PLS）模型建立了绝缘油中丙酮的检测方法，丙酮的定量限为0.003 mg/g，满足工程检测要求。