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硅胶涂覆球形微谐振器用于超高灵敏度检测空气中氨气体浓度。

Silica Gel Coated Spherical Micro resonator for Ultra-High Sensitivity Detection of Ammonia Gas Concentration in Air.

机构信息

Photonics Research Centre, Dublin Institute of Technology, Kevin Street, Dublin, 8, Ireland.

Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle Upon Tyne, NE1 8ST, United Kingdom.

出版信息

Sci Rep. 2018 Jan 26;8(1):1620. doi: 10.1038/s41598-018-20025-9.

Abstract

A silica gel coated microsphere resonator is proposed and experimentally demonstrated for measurements of ammonia (NH) concentration in air with ultra-high sensitivity. The optical properties of the porous silica gel layer change when it is exposed to low (parts per million (ppm)) and even ultra-low (parts per billion (ppb)) concentrations of ammonia vapor, leading to a spectral shift of the WGM resonances in the transmission spectrum of the fiber taper. The experimentally demonstrated sensitivity of the proposed sensor to ammonia is estimated as 34.46 pm/ppm in the low ammonia concentrations range from 4 ppm to 30 ppm using an optical spectrum analyser (OSA), and as 800 pm/ppm in the ultra-low range of ammonia concentrations from 2.5 ppb to 12 ppb using the frequency detuning method, resulting in the lowest detection limit (by two orders of magnitude) reported to date equal to 0.16 ppb of ammonia in air. In addition, the sensor exhibits excellent selectivity to ammonia and very fast response and recovery times measured at 1.5 and 3.6 seconds, respectively. Other attractive features of the proposed sensor are its compact nature, simplicity of fabrication.

摘要

提出并实验演示了一种硅胶涂覆微球谐振器,用于测量空气中的氨(NH)浓度,具有超高灵敏度。当多孔硅胶层暴露于低(ppm)甚至超低(ppb)浓度的氨蒸气时,其光学性质会发生变化,导致光纤锥传输谱中 WGM 共振的光谱位移。使用光谱分析仪(OSA),在所研究的低氨浓度范围内(4 ppm 至 30 ppm),实验证明该传感器对氨的灵敏度约为 34.46 pm/ppm,而使用频率失谐法,在超低氨浓度范围内(2.5 ppb 至 12 ppb),灵敏度约为 800 pm/ppm,从而实现了迄今为止最低的检测限(两个数量级),在空气中对氨的检测限达到 0.16 ppb。此外,该传感器对氨具有出色的选择性,响应和恢复时间分别为 1.5 和 3.6 秒,非常快。该传感器的其他优点包括紧凑的尺寸、简单的制造工艺。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a93/5786028/d0b92d1394c2/41598_2018_20025_Fig1_HTML.jpg

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