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一维声子晶体:一种用于高灵敏度有效检测水中重金属的简化平台。

One-Dimensional Phononic Crystals: A Simplified Platform for Effective Detection of Heavy Metals in Water with High Sensitivity.

作者信息

Almawgani Abdulkarem H M, Fathy Hamza Makhlouf, Ali Ghassan Ahmed, Elsayed Hussein A, Mehaney Ahmed

机构信息

Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.

TH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef 62512, Egypt.

出版信息

Micromachines (Basel). 2023 Jan 13;14(1):204. doi: 10.3390/mi14010204.

Abstract

Recently, the pollution of fresh water with heavy metals due to technological and industrial breakthroughs has reached record levels. Therefore, monitoring these metals in fresh water has become essentially urgent. Meanwhile, the conventional periodic one-dimensional phononic crystals can provide a novel platform for detecting the pollution of heavy metals in fresh water with high sensitivity. A simplified design of a defective, one-dimensional phononic crystals (1D-PnC) structure is introduced in this paper. The sensor is designed from a lead-epoxy multilayer with a central defect layer filled with an aqueous solution from cadmium bromide (CdBr). The formation of a resonant peak through the transmittance spectrum is highly expected. This study primarily aims to monitor and detect the concentration of cadmium bromide in pure water based on shifting the position of this resonant peak. Notably, any change in cadmium bromide concentration can affect the acoustic properties of cadmium bromide directly. The transfer matrix method has been used to calculate the transmission spectra of the incident acoustic wave. The numerical findings are mainly based on the optimization of the cadmium bromide layer thickness, lead layer thickness, epoxy layer thickness, and the number of periods to investigate the most optimum sensor performance. The introduced sensor in this study has provided a remarkably high sensitivity (S = 1904.25 Hz) within a concentration range of (0-10,000 ppm). The proposed sensor provides a quality factor (QF), a resolution, and a figure of merit of 1398.51752, 48,875,750 Hz, and 4.12088 × 10 (/ppm), respectively. Accordingly, this sensor can be a potentially robust base for a promising platform to detect small concentrations of heavy metal ions in fresh water.

摘要

近年来,由于技术和工业突破导致的淡水重金属污染已达到创纪录水平。因此,监测淡水中的这些金属已变得极为迫切。与此同时,传统的周期性一维声子晶体可为高灵敏度检测淡水中的重金属污染提供一个新平台。本文介绍了一种有缺陷的一维声子晶体(1D-PnC)结构的简化设计。该传感器由铅 - 环氧树脂多层结构设计而成,中间缺陷层填充有溴化镉(CdBr)水溶液。人们高度期望通过透射光谱形成一个共振峰。本研究的主要目的是基于该共振峰位置的移动来监测和检测纯水中溴化镉的浓度。值得注意的是,溴化镉浓度的任何变化都会直接影响溴化镉的声学特性。已使用转移矩阵法来计算入射声波的透射光谱。数值结果主要基于对溴化镉层厚度、铅层厚度、环氧树脂层厚度以及周期数的优化,以研究最佳的传感器性能。本研究中引入的传感器在(0 - 10,000 ppm)浓度范围内提供了极高的灵敏度(S = 1904.25 Hz)。所提出的传感器的品质因数(QF)、分辨率和优值分别为1398.51752、48,875,750 Hz和4.12088×10(/ppm)。因此,该传感器可能成为一个有潜力的强大基础,用于构建一个有前景的平台,以检测淡水中低浓度的重金属离子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ef6/9860798/b5b52155705b/micromachines-14-00204-g001.jpg

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