Literature DB >> 21342830

Influence of surface conductivity on sensitivity of acoustic wave gas sensors based on multilayered structures.

Li Fan1, Feng-mei Zhou, Cheng Wang, Hui-dong Gao, Shu-yi Zhang, Hui Zhang, Xiang-bang Wang.   

Abstract

The influences of the surface conductivity on the velocity of an acoustic wave (AW) in a multilayered material are studied theoretically with the transfer matrix method and the conductivity sensitivity of the AW sensor is presented. It is found that the velocity of the AW increases with decreasing surface conductivity and vice versa. The result is used to explain the abnormal response of AW sensors, in which the central frequencies of AW sensors increase after they sorb the detected gases. Meanwhile, the conductivity sensitivity is found to be related to the dielectric constants of the multilayered material and the electromechanical coupling coefficient of the sensor. Finally, the sensitivities of AW sensors based on multilayered structures are optimized by considering the influences of the surface conductivities of the sensors with different initial conductivities and thicknesses of the sensitive layers.

Year:  2011        PMID: 21342830     DOI: 10.1109/TUFFC.2011.1822

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  3 in total

1.  Fast response and high sensitivity ZnO/glass surface acoustic wave humidity sensors using graphene oxide sensing layer.

Authors:  Weipeng Xuan; Mei He; Nan Meng; Xingli He; Wenbo Wang; Jinkai Chen; Tianjin Shi; Tawfique Hasan; Zhen Xu; Yang Xu; J K Luo
Journal:  Sci Rep       Date:  2014-11-26       Impact factor: 4.379

2.  Simulation of SAW Humidity Sensors Based on ( 11 2 ¯ 0 ) ZnO/R-Sapphire Structures.

Authors:  Xiao-Dong Lan; Shu-Yi Zhang; Li Fan; Yan Wang
Journal:  Sensors (Basel)       Date:  2016-11-02       Impact factor: 3.576

3.  Response mechanism for surface acoustic wave gas sensors based on surface-adsorption.

Authors:  Jiansheng Liu; Yanyan Lu
Journal:  Sensors (Basel)       Date:  2014-04-16       Impact factor: 3.576

  3 in total

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