Study and Realization of Environmental Health Diagnosis by Using Nanomaterial Based Fiber Optic Sensor–A Review

光纤 光纤传感器 材料科学 光纤布拉格光栅 干涉测量 纳米材料 纳米技术 计算机科学 光学 电信 物理
作者
Shailendra K. Singh,Mukul Chandra Paul
出处
期刊:IEEE Sensors Journal [Institute of Electrical and Electronics Engineers]
卷期号:23 (1): 53-67 被引量:4
标识
DOI:10.1109/jsen.2022.3217724
摘要

In these days, the significance of fiber optic sensors has exceptionally increased due to technological advances in modern society. Nowadays, researchers are attracted toward the development of a sensor that possesses the integration of both fiber optic sensors and nanocomposite thin film to improve the sensor’s performance. Thin-film nanomaterial based optical fiber sensors have great potential applications, namely, gas sensing, chemical sensing, biomolecules, food plant, industrial hazards, safety issues, drug monitoring, and heavy metal detections. There are various techniques, namely, evanescent field absorption spectroscopy, fiber Bragg grating (FBG), long-period grating (LPG), ringdown spectroscopy, surface plasmon resonance (SPR), Mach–Zehnder interferometer (MZI) techniques, and so on, which are used for the development of fiber optic sensors that are majorly emphasized in the current article. Numerous scientific researchers have demonstrated that functionalized fiber optic sensors are found more beneficial in terms of improvement of the sensing performance, such as sensitivity, repeatability, response time, specificity, recovery time, and repeatability. Henceforth, in this review article, we have focused on these requisite sensing parameters in detail. Furthermore, to keep human beings healthy, it is our responsibility to develop a sensor that can monitor the optimum toxic concentrations accurately. Thus, the monitoring of industrial environmental pollutants, such as NH3, ethylenediamine, alcohol, and acetone, is immensely important to save human lives on Earth. In the report, all the details of the target analytes, such as optimum concentrations, adverse effects on human beings, and monitoring techniques, are discussed.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lmy9988应助杨涵采纳,获得20
1秒前
xiaofeifantasy应助杨涵采纳,获得20
1秒前
Simon_chat完成签到,获得积分0
1秒前
2秒前
李nb发布了新的文献求助10
2秒前
科研通AI6应助香菜头采纳,获得10
2秒前
留白发布了新的文献求助20
2秒前
852应助Avery采纳,获得10
2秒前
3秒前
ding应助科研通管家采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
CipherSage应助科研通管家采纳,获得10
3秒前
不安青牛应助科研通管家采纳,获得10
3秒前
QLLW应助科研通管家采纳,获得10
3秒前
Owen应助科研通管家采纳,获得10
4秒前
大个应助科研通管家采纳,获得10
4秒前
嘿嘿应助科研通管家采纳,获得30
4秒前
不安青牛应助科研通管家采纳,获得10
4秒前
栀尽夏完成签到,获得积分10
4秒前
嘿嘿应助科研通管家采纳,获得30
4秒前
QLLW应助科研通管家采纳,获得10
4秒前
realha发布了新的文献求助10
4秒前
1111应助科研通管家采纳,获得10
4秒前
打打应助科研通管家采纳,获得10
4秒前
高山和鸟应助科研通管家采纳,获得10
4秒前
小二郎应助科研通管家采纳,获得10
5秒前
嘿嘿应助科研通管家采纳,获得30
5秒前
科研通AI6应助科研通管家采纳,获得10
5秒前
1111应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
嘿嘿应助科研通管家采纳,获得30
5秒前
慕青应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
5秒前
斯文败类应助科研通管家采纳,获得10
5秒前
6秒前
RenSiyu发布了新的文献求助10
6秒前
李nb完成签到,获得积分10
6秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Digital and Social Media Marketing 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5620874
求助须知:如何正确求助?哪些是违规求助? 4705521
关于积分的说明 14932362
捐赠科研通 4763666
什么是DOI,文献DOI怎么找? 2551356
邀请新用户注册赠送积分活动 1513817
关于科研通互助平台的介绍 1474715