Electrochemical paper-based antigen sensing platform using plant-derived monoclonal antibody for detecting SARS-CoV-2

检出限 化学 微分脉冲伏安法 单克隆抗体 电化学 抗原 线性范围 电极 电化学气体传感器 循环伏安法 纳米技术 色谱法 抗体 材料科学 物理化学 生物 免疫学 遗传学
作者
Jutamas Jaewjaroenwattana,Waranyoo Phoolcharoen,Ekawat Pasomsub,Prinjaporn Teengam,Orawon Chailapakul
出处
期刊:Talanta [Elsevier]
卷期号:251: 123783-123783 被引量:28
标识
DOI:10.1016/j.talanta.2022.123783
摘要

The current approaches of diagnostic platforms for detecting SARS-CoV-2 infections mostly relied on adapting the existing technology. In this work, a simple and low-cost electrochemical sensing platform for detecting SAR-CoV-2 antigen was established. The proposed sensor combined the innovative disposable paper-based immunosensor and cost-effective plant-based anti-SARS-CoV-2 monoclonal antibody CR3022, expressed in Nicotiana benthamiana. The cellulose nanocrystal was modified on screen-printed graphene electrode to provide the abundant COOH functional groups on electrode surface, leading to the high ability for antibody immobilization. The quantification of the presence receptor binding domain (RBD) spike protein of SARS-CoV-2 was performed using differential pulse voltammetry by monitoring the changing current of [Fe(CN)6]3-/4- redox solution. The current change of [Fe(CN)6]3-/4- before and after the presence of target RBD could be clearly distinguished, providing a linear relationship with RBD concentration in the range from 0.1 pg/mL to 500 ng/mL with the minimum limit of detection of 2.0 fg/mL. The proposed platform was successfully applied to detect RBD in nasopharyngeal swab samples with satisfactory results. Furthermore, the paper-based immunosensor was extended to quantify the RBD level in spiked saliva samples, demonstrating the broadly applicability of this system. This electrochemical paper-based immunosensor has the potential to be employed as a point-of-care testing for COVID-19 diagnosis.

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
王金金完成签到,获得积分10
刚刚
研友_ZGjaGn发布了新的文献求助10
1秒前
茶弥完成签到,获得积分10
1秒前
1秒前
1秒前
害羞的靖荷完成签到,获得积分10
1秒前
隐形曼青应助anqi6688采纳,获得10
1秒前
大栗子发布了新的文献求助10
2秒前
天才小熊猫完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
深情安青应助vera采纳,获得10
3秒前
3秒前
隐形曼青应助jellorio采纳,获得10
3秒前
3秒前
4秒前
4秒前
许念梵完成签到,获得积分10
5秒前
李小聪发布了新的文献求助10
7秒前
温暖飞丹完成签到,获得积分10
7秒前
liangzhy发布了新的文献求助10
7秒前
7秒前
7秒前
科研通AI6.1应助HanQing采纳,获得10
8秒前
清溪发布了新的文献求助10
8秒前
闵靖仇发布了新的文献求助10
8秒前
许念梵发布了新的文献求助10
8秒前
8秒前
俊逸沅发布了新的文献求助30
9秒前
科研顺利发布了新的文献求助10
9秒前
9秒前
NexusExplorer应助美好理理采纳,获得10
9秒前
共享精神应助来岁昭昭采纳,获得10
9秒前
DE2022完成签到,获得积分10
10秒前
黄大大发布了新的文献求助20
10秒前
12秒前
无极微光应助橙子采纳,获得20
12秒前
DE2022发布了新的文献求助10
12秒前
zhuziyu应助努力的欢欢采纳,获得20
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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039643
求助须知:如何正确求助?哪些是违规求助? 7770373
关于积分的说明 16227396
捐赠科研通 5185621
什么是DOI,文献DOI怎么找? 2775054
邀请新用户注册赠送积分活动 1757877
关于科研通互助平台的介绍 1641936