Self-powered biosensing system driven by triboelectric nanogenerator for specific detection of Gram-positive bacteria

生物传感器 摩擦电效应 纳米发生器 材料科学 纳米技术 检出限 信号(编程语言) 计算机科学 化学 色谱法 压电 复合材料 程序设计语言
作者
Congyu Wang,Peng Wang,Junhuan Chen,Liyang Zhu,Dun Zhang,Yi Wan,Shiyun Ai
出处
期刊:Nano Energy [Elsevier BV]
卷期号:93: 106828-106828 被引量:60
标识
DOI:10.1016/j.nanoen.2021.106828
摘要

Gram-positive bacterial concentration, such as Staphylococcus aureus (S. aureus), is a crucial criterion for evaluating water quality and influencing human health, developing effective and specific detection of Gram-positive bacteria is important for prevention of their threats. In our proof-of-concept work, a self-powered biosensing system based on the vertical contact-separation triboelectric nanogenerator (TENG) was developed to specifically detect Gram-positive bacteria in solution. In the biosensing system, vancomycin was utilized to identify and capture Gram-positive bacterial cells via specific vancomycin-bacteria wall interactions, guanidine functionalized multi-walled carbon nanotubes (CNT-Arg) was adopted as signal amplification material due to its high electrical conductivity, and TENG was adopted as a stable voltage signal source. Thus, the self-powered biosensing system could specifically detect the Gram-positive bacteria in solution by determining the measured voltage variation of biosensor. It was proven that the self-powered biosensing system was applied to detect S. aureus (employed as a model) with a linear relationship, low limit of detection (2 × 103 CFU mL−1) and high selectivity. Moreover, a warning program of Labview was written in this work, and the warning program could convert the voltage signal into visual signal for convenient observation. This work provides a design concept for self-powered biosensing system with TENG, and by replacing the molecular probes, the system can facilitate the application of TENG in many relevant fields, such as environmental pollution, iatrogenic diseases and microbiological corrosion.
最长约 10秒,即可获得该文献文件

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
刚刚
刚刚
刚刚
1秒前
时光不染应助淡然的迎蕾采纳,获得10
1秒前
清洲发布了新的文献求助10
1秒前
1秒前
健忘的之瑶完成签到,获得积分10
1秒前
1秒前
angang1994完成签到,获得积分10
1秒前
现代音响完成签到,获得积分10
2秒前
2秒前
明理的亦寒完成签到 ,获得积分10
2秒前
小白发布了新的文献求助10
3秒前
anna1992发布了新的文献求助10
3秒前
Yu发布了新的文献求助10
3秒前
lhy1150469792完成签到,获得积分10
4秒前
烟花应助吐个泡泡采纳,获得10
4秒前
讨厌的十九岁完成签到,获得积分10
4秒前
sxd20103316完成签到,获得积分10
5秒前
5秒前
hotcas完成签到,获得积分0
5秒前
奈何发布了新的文献求助10
5秒前
6秒前
抹茶麻薯发布了新的文献求助10
6秒前
phc发布了新的文献求助10
6秒前
骑着蚂蚁追大象完成签到,获得积分10
6秒前
含蓄可冥完成签到,获得积分10
7秒前
xl发布了新的文献求助10
7秒前
7秒前
潇洒书竹发布了新的文献求助10
8秒前
隐形曼青应助阿斯巴田采纳,获得10
9秒前
qishiyy发布了新的文献求助10
10秒前
12秒前
12秒前
12秒前
城市公园发布了新的文献求助10
12秒前
cdercder应助高挑的乞采纳,获得10
12秒前
13秒前
waker完成签到,获得积分10
13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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7630098
求助须知:如何正确求助?哪些是违规求助? 9204738
关于积分的说明 19738683
捐赠科研通 7199749
什么是DOI,文献DOI怎么找? 3274425
关于科研通互助平台的介绍 2436516
邀请新用户注册赠送积分活动 2270663