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Optical Vapor Sensors Based on Periodic Resonant Nanopillar Structures

机译:基于周期谐振纳米玻璃结构的光学蒸汽传感器

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In this work, it is reported for the first time the use of a network of periodic optical resonant nanopillars for sensing vapors of volatile organic components. In particular, this work evaluates the presence of methanol, ethanol, isopropanol, acetic acid, propionic acid, and toluene vapors at different working distances between the transducer and the surface of the sample in the liquid state, obtaining the sensing curve response of each one of them. In addition, it studies the thin film of liquid condensed onto the nanopillar surface, estimating their corresponding thickness value by means of numerical photonic simulations and their correlation with the corresponding vapor pressure of different specimens.
机译:在这项工作中,据报道首次使用周期光学谐振纳米粒子网络以传感挥发性有机组分的蒸汽。特别地,该作品评估在换能器和样品表面之间的不同工作距离处的甲醇,乙醇,异丙醇,乙酸,丙酸,甲苯蒸汽的存在,从而获得每一个的感测曲线响应他们。另外,它研究浓缩到纳米池表面上的液体薄膜,借助于数值光子模拟估计它们的相应厚度值及其与不同样本的相应蒸气压的相关性。

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