Adamu Abubakar Isa, Ozturk Fahri Emre, Bayindir Mehmet
Appl Opt. 2016 Dec 20;55(36):10247-10254. doi: 10.1364/AO.55.010247.
An artificial nose system for the recognition and classification of gas-phase analytes and its application in identifying common industrial gases is reported. The sensing mechanism of the device comprises the measurement of infrared absorption of volatile analytes inside the hollow cores of optofluidic Bragg fibers. An array of six fibers is used, where each fiber targets a different region of the mid-infrared in the range of 2-14 μm with transmission bandwidths of about 1-3 μm. The quenching in the transmission of each fiber due to the presence of analyte molecules in the hollow core is measured separately and the cross response of the array allows the identification of virtually any volatile organic compound (VOC). The device was used for the identification of seven industrial VOC vapors with high selectivity using a standard blackbody source and an infrared detector. The array response is registered as a unique six digit binary code for each analyte by assigning a threshold value to the fiber transmissions. The developed prototype is a comprehensive and versatile artificial nose that is applicable to a wide range of analytes.
报道了一种用于气相分析物识别和分类的人工鼻系统及其在识别常见工业气体中的应用。该装置的传感机制包括测量光流体布拉格光纤空心芯内挥发性分析物的红外吸收。使用了由六根光纤组成的阵列，其中每根光纤针对2-14μm范围内不同的中红外区域，传输带宽约为1-3μm。分别测量由于空心芯中存在分析物分子而导致的每根光纤传输的猝灭，并且该阵列的交叉响应允许识别几乎任何挥发性有机化合物（VOC）。该装置使用标准黑体源和红外探测器用于高选择性地识别七种工业VOC蒸气。通过为光纤传输分配阈值，将阵列响应记录为每种分析物的唯一六位二进制代码。所开发的原型是一种全面且通用的人工鼻，适用于广泛的分析物。
