High-Sensitivity SPR Fiber-Optic Biosensor With Nano-Grating Structure for Pathogenic Bacteria Detection in Drinking Water

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-10-02 DOI:10.1109/JSEN.2024.3469028
Ananya Banerjee;Rahul Rahul;Jaisingh Thangaraj;Santosh Kumar
{"title":"High-Sensitivity SPR Fiber-Optic Biosensor With Nano-Grating Structure for Pathogenic Bacteria Detection in Drinking Water","authors":"Ananya Banerjee;Rahul Rahul;Jaisingh Thangaraj;Santosh Kumar","doi":"10.1109/JSEN.2024.3469028","DOIUrl":null,"url":null,"abstract":"Drinking water that contains microbiological contamination can lead to the spread of dangerous waterborne diseases, posing a significant risk to human health. It is important to detect and identify microbial pathogens (such as bacteria, fungi, viruses, and parasites) in water accurately to prevent these negative situations. In this work, we have proposed an optical-fiber (OF) surface plasmon resonance (SPR)-based sensor for the detection of pathogenic bacteria that are Bacillus anthracis, Vibrio cholera, Enterococcus faecalis, and Escherichia coli in the drinking water. The finite element method (FEM) is implemented to determine the wavelength sensitivity (WS). The sensor shows excellent performance and can identify the samples externally. The sensor has gold (Au) and gallium nitride (GaN) as the plasmonic sensing layer in nano-grating structures over the surface of the multimode fiber (MMF). It can detect all four bacteria from the drinking water with the highest sensitivity achieved is 21276.6 nm/RIU for E. coli. The performance parameters: detection accuracy (DA), signal-to-noise ratio (SNR), resolution (R), detection limit (DL), quality factor (QF), and figure of merit (FOM), are also evaluated. The results produced by the sensor are superior in comparison to the previously reported biosensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"36882-36890"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10704577/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Drinking water that contains microbiological contamination can lead to the spread of dangerous waterborne diseases, posing a significant risk to human health. It is important to detect and identify microbial pathogens (such as bacteria, fungi, viruses, and parasites) in water accurately to prevent these negative situations. In this work, we have proposed an optical-fiber (OF) surface plasmon resonance (SPR)-based sensor for the detection of pathogenic bacteria that are Bacillus anthracis, Vibrio cholera, Enterococcus faecalis, and Escherichia coli in the drinking water. The finite element method (FEM) is implemented to determine the wavelength sensitivity (WS). The sensor shows excellent performance and can identify the samples externally. The sensor has gold (Au) and gallium nitride (GaN) as the plasmonic sensing layer in nano-grating structures over the surface of the multimode fiber (MMF). It can detect all four bacteria from the drinking water with the highest sensitivity achieved is 21276.6 nm/RIU for E. coli. The performance parameters: detection accuracy (DA), signal-to-noise ratio (SNR), resolution (R), detection limit (DL), quality factor (QF), and figure of merit (FOM), are also evaluated. The results produced by the sensor are superior in comparison to the previously reported biosensors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用纳米光栅结构的高灵敏度 SPR 光纤生物传感器用于检测饮用水中的病原菌
含有微生物污染的饮用水会导致危险的水传播疾病,对人类健康构成重大威胁。准确检测和识别水中的微生物病原体(如细菌、真菌、病毒和寄生虫)对于防止这些负面情况的发生非常重要。在这项工作中,我们提出了一种基于光纤(OF)表面等离子体共振(SPR)的传感器,用于检测饮用水中的炭疽杆菌、霍乱弧菌、粪肠球菌和大肠杆菌等病原菌。采用有限元法(FEM)确定了波长灵敏度(WS)。该传感器性能卓越,可以从外部识别样品。该传感器采用金(Au)和氮化镓(GaN)作为多模光纤(MMF)表面纳米光栅结构的等离子传感层。它可以检测饮用水中的所有四种细菌,对大肠杆菌的最高灵敏度为 21276.6 nm/RIU。此外,还对以下性能参数进行了评估:检测精度 (DA)、信噪比 (SNR)、分辨率 (R)、检测限 (DL)、品质因数 (QF) 和优点系数 (FOM)。与之前报道的生物传感器相比,该传感器产生的结果更为出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
期刊最新文献
IEEE Sensors Journal Publication Information Table of Contents Front Cover IEEE Sensors Council A Clustered Routing Algorithm Based on Forwarding Mechanism Optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1