Ultra-sensitive detection of lead Ions through Portable sensor technology for enhanced environmental monitoring

铅(地质) 环境监测 环境科学 纳米技术 计算机科学 材料科学 环境工程 地貌学 地质学
作者
Anju Gupta,Dinesh Rotake,Anand D. Darji
出处
期刊:IEEE sensors letters [Institute of Electrical and Electronics Engineers]
卷期号:8 (7): 1-4
标识
DOI:10.1109/lsens.2024.3409363
摘要

Toxic heavy metal ions (HMI), prevalent in industrial waste contaminating river water, pose a significant threat to living organisms, causing debilitating diseases and potential fatalities. Therefore, monitoring these toxic elements in water, is of utmost importance. Various techniques have been explored in this direction, including spectroscopic, optical, Micro-Electro-Mechanical (MEMS) - based, Field effect transistor (FET) - based, and electrochemical methods. While offering advantages such as high sensitivity and fast response, these methods often need more portability, require skilled operators, and involve expensive sample preparation. In response, considerable research is underway to develop portable sensor systems for detecting toxic HMI. This study contributes to this effort by proposing a simple and easily fabricated chemiresistive sensor for detecting lead ions (Pb 2+ ). The designed sensor utilizes graphene oxide (GO), a 2-dimensional material, for transduction and thiol for the selectivity of Pb 2+ . Two different thiols, glutathione and 2,5-Dimercapto-1,3,4-thiadiazole (DMTD), are employed, widely used for detecting Pb 2+ using other techniques but not with the simplicity proposed here. This sensor can simultaneously detect specific HMI from three samples or three HMI from a sample. Its performance is noteworthy, providing a detection limit 26.5 pM lower than the 48.3 nM standards set by many organizations. A readout circuit is designed to measure the sensor's resistance, calibrate it based on the concentration of Pb 2+ , and transmit data wirelessly, enhancing its applicability in remote monitoring.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
1秒前
kyros发布了新的文献求助10
1秒前
1秒前
清清发布了新的文献求助10
2秒前
dimension发布了新的文献求助10
2秒前
3秒前
森森发布了新的文献求助10
3秒前
3秒前
3秒前
科目三应助xiejiaqing采纳,获得10
4秒前
顾矜应助Caroline采纳,获得10
4秒前
忧心的白开水完成签到,获得积分20
5秒前
5秒前
黄柠檬完成签到 ,获得积分10
6秒前
7秒前
就是我发布了新的文献求助10
7秒前
FashionBoy应助hhhhh采纳,获得10
7秒前
8秒前
ww发布了新的文献求助10
8秒前
乐观的元霜完成签到,获得积分10
8秒前
量子星尘发布了新的文献求助10
8秒前
EASA发布了新的文献求助10
9秒前
9秒前
9秒前
领导范儿应助junemirror采纳,获得10
9秒前
雪媚娘完成签到,获得积分10
9秒前
123456发布了新的文献求助10
9秒前
FashionBoy应助笨笨的仙人掌采纳,获得10
9秒前
xxxgoldxsx完成签到,获得积分10
10秒前
iHateTheWorld完成签到,获得积分10
10秒前
祝英台完成签到,获得积分10
11秒前
箱子发布了新的文献求助10
11秒前
sh131完成签到,获得积分10
11秒前
13秒前
烂漫的金针菇完成签到,获得积分10
13秒前
李健应助优雅的山柳采纳,获得10
13秒前
无极微光给LIANG的求助进行了留言
14秒前
15秒前
胡沈焕然完成签到,获得积分20
15秒前
高分求助中
(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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Linear and Nonlinear Functional Analysis with Applications, Second Edition 388
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 5578243
求助须知:如何正确求助?哪些是违规求助? 4663137
关于积分的说明 14744830
捐赠科研通 4603883
什么是DOI,文献DOI怎么找? 2526739
邀请新用户注册赠送积分活动 1496343
关于科研通互助平台的介绍 1465712