Phononic Eco-Sensor for Detection of Heavy Metals Pollutions in Water With Spectrum Analyzer

Abstract

In this research, the numerical analyzing procedure for a two-dimensional (2D) solid-fluid phononic crystal (PnC) demultiplexer is presented. The demultiplexer acts as a selective sensor that could separate three dangerous heavy metals (CuSO4, MgSO4 and MnSO4) with a very low concentration of 1% added in water. The platform consists of a T-model waveguide with three hollow cylinder branches. The PnC demultiplexer is designed with a square arrangement of infinite rods of Stainless steel embedded in the distilled water substrate. To determine the band structure and transmission spectrum, the finite element method has been evaluated. The main waveguides aremade by eliminating one row or one column of scatterers. For each branch, the radius of inclusions is changed to have three different defect branches. Hence, the intended demultiplexer can classify three frequencies in the range of kHz. The demultiplexer showed higher performance parameters for all mixtures. Where, the highest transmission intensity is about 95% for MgSO4-water mixture. The highest sensitivity (66000 Hz.cm3/g) was obtained for theMgSO4-watermixturewhile the highest quality factor (10694) and FOM(2437 cm3/g)were obtained for the CuSO4-water mixture. Themaximum crosstalk (The worst value) among the three channels equals the value of −25.22 dB. The proposed demultiplexer can act as an eco-sensor for detecting water pollutions with higher performance and selectivity.