Abstract

This work focuses on the nondestructive fruit ripeness detection system at different maturity stages. The study involved a computational approach whereby the detector is simulated and characterized. The development of the 2 dimensional finite elements provides deeper understanding in an isotropic media of the sensor. The paper presents a sensitive layer of the zinc oxide with a thickness of 0.5 μm on LiNbO3 piezoelectric substrate for ethylene (C2H4) gas sensing application in order to distinguish maturity level of fruits. In addition the sensor acts as a better device for sensing the amount of ethylene gases that releases from mature fruits.

Highlights

  • Sensors are part of our daily life and have been applied in variety of fields and gas sensing is only one of the uses

  • surface acoustic wave sensors (SAWs) gas sensor consists of interdigitated transducers (IDT) as shown in Figure 1 which are placed on the top of substrate in order to transmit and receive acoustic waves

  • Meshing process is performed to determine the nodes in SAW gas sensor detecting structure which can be seen that the highest density of the nodes is directly under IDTs location

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Summary

Introduction

Sensors are part of our daily life and have been applied in variety of fields and gas sensing is only one of the uses. Surface acoustic wave sensors (SAWs) categorized in microelectromechanical systems (MEMS) which depend on the modulation of acoustic surface to detect a physical phenomenon. By introducing ethylene gaseous as an input to the sensors, receiver will receives and transduces input into a mechanical wave [1]. The sensor transduces again the mechanical wave into electrical signal. SAW gas sensor consists of interdigitated transducers (IDT) as shown in Figure 1 which are placed on the top of substrate in order to transmit and receive acoustic waves. Transmitter converts electrical signal into acoustic wave that travels along the piezoelectric. Substrate, receiver converts back into electrical signal for detection and analysis purposes [5,6]

Material selection
Intermediate layer material
Sensing layer material
Multiphysics modelling
Results and discussion
Conclusions
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