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Monitoring of Low Levels of Furfural in Power Transformer Oil with a Sensor System Based on a POF-MIP Platform

机译:基于POF-MIP平台的传感器系统监测变压器油中的糠醛含量低

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In this work an innovative, miniaturized and low cost optical chemical sensor (POF-MIP platform), based on a molecular imprinted polymer (MIP) and surface plasmon resonance in a plastic optical fiber (POF), is presented and preliminarily tested for monitoring of furfural (furan-2-carbaldehyde) in transformer oil. To this end, the optical platform was coupled to an MIP layer, highly selective for furfural. The ability of the developed sensor to directly detect furfural in the insulating oil was investigated. The detection limit of the sensor has been found to be 9 ppb, with a linear response up to about 30 ppb. However there is a sensible response up to 0.15 ppm. Because of the small linearity range, the Hill equation is suggested for the quantification. The sensor has been effectively tested in real oil samples collected from aged electrical equipment removed from service. The assessed concentration of furfural is in good agreement with that evaluated by a high pressure liquid chromatography (HLPC) method, confirming the good selectivity of the proposed sensor.
机译:在这项工作中,提出了一种基于分子印迹聚合物(MIP)和塑料光纤(POF)中的表面等离振子共振的创新,小型,低成本的光学化学传感器(POF-MIP平台),并进行了初步测试以监测变压器油中的糠醛(呋喃-2-甲醛)。为此,将光学平台耦合到对糠醛具有高度选择性的MIP层。研究了开发的传感器直接检测绝缘油中糠醛的能力。已发现传感器的检测极限为9 ppb,线性响应高达约30 ppb。但是,有一个高达0.15 ppm的合理响应。由于线性范围较小,建议使用Hill方程进行量化。该传感器已经在从停运的老化电气设备中收集的真实油样中进行了有效测试。糠醛的评估浓度与通过高压液相色谱法(HLPC)评估的糠醛浓度高度吻合,证实了所提出传感器的良好选择性。

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