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Fabrication of palladium functionalized sol-gel based SnO2 gas sensor for H2 and CO detection

机译:用于H2和CO检测的基于钯官能化溶胶 - 凝胶的钯官能化溶液的制造

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This study presents design, micro-fabrication and neural network calibration of a low cost micro-gas sensor. This sensor is able to identify two gases (CO and H_2) and their concentrations in a mixture. Using the micro-fabrication process the sensitivity of the sensors has increased while decreasing the fabrication cost. Using the Pechini route technique, the sensing layer is fabricated based on a layer of metal oxide semiconductor (SnO_2) which is doped with palladium. Sensing layer surface morphology has been characterized (using Differential Scanning Calorimetry (DSC), Scanning Electron Microscopy (SEM), and X-Ray Diffraction (XRD)) to study (i) the molecular structure of the sensing layer fabricated under various conditions, and (ii) the effect of palladium doping on the crystalline structure. Following our previous study, the neural network calibration is employed to perform identification process. Four different concentrations of Co and H_2 are exposed to the fabricated sensor and the results of output voltages show the high sensitivity of the sensing layer.
机译:本研究提出了低成本微气传感器的设计,微制造和神经网络校准。该传感器能够识别两个气体(CO和H_2)及其浓度在混合物中。使用微制造过程的灵敏度在降低制造成本的同时增加了传感器的灵敏度。使用Pechini路径技术,基于掺杂有钯的金属氧化物半导体(SnO_2)层制造传感层。已经表征了感测层表面形态(使用差示扫描量热法(DSC),扫描电子显微镜(SEM)和X射线衍射(XRD))研究(i)在各种条件下制造的感测层的分子结构,和(ii)钯掺杂对晶体结构的影响。在我们以前的研究之后,采用神经网络校准来执行识别过程。四种不同浓度的CO和H_2暴露于制造的传感器,输出电压的结果显示出感测层的高灵敏度。

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