Passive wireless UV SAW sensor

Karapetyan, G. Ya.; Kaydashev, V. E.; Kutepov, M. E.; Minasyan, T. A.; Kalinin, V.; Kislitsyn, V. O.; Кайдашев, Е. М.

doi:10.1007/s00339-020-03980-x

Cited by 9 publications

(2 citation statements)

References 21 publications

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“…In reference [ 24 ], a ZnO layer as thin as 71 nm is used as a UV sensing element: the authors say that this choice is suitable to avoid the perturbation of the wave propagation in the LiNbO 3 substrate from the ZnO mass loading. In reference [ 25 ], the ZnO(250 nm)/128°yx-LiNbO 3 showed a sensitivity of 6000 ppm/(μW/cm 2 ) in a wide UV power range (from 0.010 to 40 mW/cm 2 ): despite the wide UV power range, the double-relaxation phenomenon is not observed, probably due to the small ZnO layer thickness. In reference [ 26 ], however, the UV-induced frequency shifts of the Sezawa wave in ZnO (3.23 µm)/Si-based SAW oscillator were measured in a wide range of UV light intensities: the frequency shift vs. UV power curve exhibits two sensitivities which are 8.12 ppm/(μW/cm 2 ) in the low power region (up to about 50 µW/cm 2 ) and 1.62 ppm/(μW/cm 2 ) in the high power region (from about 50 to 551 µW/cm 2 ); unfortunately, the authors did not study the effect of the UV power on the wave propagation loss.…”

Section: Discussionmentioning

confidence: 99%

Acoustoelectric Effect for Rayleigh Wave in ZnO Produced by an Inhomogeneous In-Depth Electrical Conductivity Profile

Caliendo

2023

Sensors

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The acousto-electric (AE) effect associated with the propagation of the Rayleigh wave in ZnO half-space was theoretically investigated by studying the changes in wave velocity and propagation loss induced by in-depth inhomogeneous changes in the ZnO electrical conductivity. An exponentially decaying profile for the electrical conductivity was attributed to the ZnO half-space, for some values of the exponential decay constant (from 100 to 500 nm), in order to simulate the photoconductivity effect induced by ultra-violet illumination. The calculated Rayleigh wave velocity and attenuation vs. ZnO conductivity curves have the form of a double-relaxation response as opposed to the single-relaxation response which characterizes the well-known AE effect due to surface conductivity changes onto piezoelectric media. As to the author’s knowledge, this is the first time the double-relaxation AE effect has been theoretically predicted.

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Section: Discussionmentioning

confidence: 99%

Acoustoelectric Effect for Rayleigh Wave in ZnO Produced by an Inhomogeneous In-Depth Electrical Conductivity Profile

Caliendo

2023

Sensors

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“…As an emerging sensing element, surface acoustic wave (SAW) sensors have gained considerable attention in the measurement field owing to their passive wireless characteristics [1,2]. These sensors have the advantages of high sensitivity, small size, and good stability [3][4][5], and have been developed for applications in many fields [6][7][8]. In these fields, the SAW sensor is considered to be a torque test solution under conditions of high-speed rotation, heavy oil stains, complex * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Han¹,

Bu²,

Xu³

et al. 2021

Meas. Sci. Technol.

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Surface acoustic wave (SAW) sensing systems based on the received signal strength indication (RSSI) detection principle have recently gained considerable research attention because of their distinct advantages and disadvantages. However, the test mode requires constant sweeping, which severely limits the system’s dynamic response; to overcome this limitation, an effective solution is to establish a suitable eigenvalue search strategy to replace naive sweeping. To this end, a basis for this process is established in this study. Furthermore, the mechanism of the SAW sensing system based on RSSI detection is analyzed, a system model is established by introducing sequence signal superposition, and the model’s validity is verified via experiments. Signal variations at each stage and model errors are analyzed, and the system’s timing parameters are optimized. Finally, using the SAW torque sensor, an optimized torque measurement prototype is designed and the system’s effectiveness is verified through static torque experiments. A complete model of the measurement system can be simulated through this model; it provides the basis for an eigenvalue search strategy and can act as a simulation model or design basis for other researchers building RSSI-detection-based SAW sensing systems.

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Real-time sensing of trace TNT with acoustic surface wave method based on the modified interdigital transducer electrodes

Zhu

Zhuo

Wang

et al. 2021

Optoelectron. Lett.

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Passive wireless UV SAW sensor

Cited by 9 publications

References 21 publications

Acoustoelectric Effect for Rayleigh Wave in ZnO Produced by an Inhomogeneous In-Depth Electrical Conductivity Profile

Acoustoelectric Effect for Rayleigh Wave in ZnO Produced by an Inhomogeneous In-Depth Electrical Conductivity Profile

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Real-time sensing of trace TNT with acoustic surface wave method based on the modified interdigital transducer electrodes

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