An ultrasensitive electrochemical sensor for detecting porcine epidemic diarrhea virus based on a Prussian blue-reduced graphene oxide modified glassy carbon electrode

普鲁士蓝 石墨烯 检出限 材料科学 电极 玻璃碳 电化学 猪流行性腹泻病毒 生物传感器 循环伏安法 色谱法 化学 纳米技术 病毒学 病毒 医学 物理化学
作者
Zhili Li,Yuhang Luo,Zongyang Huang,Zhao Chen,Hongjin Chen,Saeed El‐Ashram,Jun Huang,Langju Su,Wandi Zhang,Guangmiao Ma,Yong Liang,Jinyue Guo,Shujian Huang,Yunxiang Zhao
出处
期刊:Analytical Biochemistry [Elsevier]
卷期号:662: 115013-115013 被引量:4
标识
DOI:10.1016/j.ab.2022.115013
摘要

This study developed a novel, ultrasensitive sandwich-type electrochemical immunosensor for detecting the porcine epidemic diarrhea virus (PEDV). By electrochemical co-deposition of graphene and Prussian blue, a Prussian blue-reduced graphene oxide-modified glassy carbon electrode was made, further modified with PEDV-monoclonal antibodies (mAbs) to create a new PEDV immunosensor using the double antibody sandwich technique. The electrochemical characteristics of several modified electrodes were investigated using cyclic voltammetry (CV). We optimized the pH levels and scan rate. Additionally, we examined specificity, reproducibility, repeatability, accuracy, and stability. The study indicates that the immunosensor has good performance in the concentration range of 1 × 101.88 to 1 × 105.38 TCID50/mL of PEDV, with a detection limit of 1 × 101.93 TCID50/mL at a signal-to-noise ratio of 3σ. The composite membranes produced via co-deposition of graphene and Prussian blue effectively increased electron transport to the glassy carbon electrode, boosted response signals, and increased the sensitivity, specificity, and stability of the immunosensor. The immunosensor could accurately detect PEDV, with results comparable to real-time quantitative PCR. This technique was applied to PEDV detection and served as a model for developing additional immunosensors for detecting hazardous chemicals and pathogenic microbes.
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

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
张怡博完成签到 ,获得积分10
刚刚
HE完成签到 ,获得积分10
刚刚
李嘉图完成签到,获得积分10
1秒前
顾矜应助tough_cookie采纳,获得10
1秒前
星星完成签到 ,获得积分10
1秒前
wpeng发布了新的文献求助10
2秒前
2秒前
ding应助小李不摆烂采纳,获得10
3秒前
深情安青应助2018夏之旅采纳,获得10
3秒前
打打应助魏行方采纳,获得10
4秒前
4秒前
清爽老九发布了新的文献求助80
5秒前
颠覆乾坤发布了新的文献求助10
5秒前
5秒前
oahcchao完成签到,获得积分10
6秒前
7秒前
虚幻穆发布了新的文献求助10
7秒前
8秒前
lucky发布了新的文献求助10
9秒前
9秒前
可爱的函函应助薄荷味采纳,获得10
10秒前
10秒前
凝心发布了新的文献求助10
13秒前
14秒前
网易乐完成签到,获得积分20
15秒前
辣个男子发布了新的文献求助10
15秒前
发疯的游子完成签到 ,获得积分10
16秒前
斯文败类应助wpeng采纳,获得10
16秒前
言叶发布了新的文献求助150
16秒前
缓慢冰淇淋完成签到,获得积分10
16秒前
苏幕完成签到,获得积分10
17秒前
cloudmeadow完成签到,获得积分20
17秒前
18秒前
18秒前
18秒前
cloudmeadow发布了新的文献求助10
21秒前
21秒前
baby的跑男完成签到,获得积分10
22秒前
SciGPT应助GK采纳,获得10
23秒前
23秒前
高分求助中
Востребованный временем 2500
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 970
Field Guide to Insects of South Africa 660
Foucault's Technologies Another Way of Cutting Reality 500
Forensic Chemistry 400
Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3392384
求助须知:如何正确求助?哪些是违规求助? 3003056
关于积分的说明 8807166
捐赠科研通 2689817
什么是DOI,文献DOI怎么找? 1473309
科研通“疑难数据库(出版商)”最低求助积分说明 681513
邀请新用户注册赠送积分活动 674348