Reagent free detection of SARS-CoV-2 using an antibody-based microwave sensor in a microfluidic platform

微流控 微波食品加热 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 微通道 抗原 病毒 病毒学 2019年冠状病毒病(COVID-19) 材料科学 纳米技术 计算机科学 生物 医学 免疫学 电信 疾病 病理 传染病(医学专业)
作者
Weijia Cui,Pei Zhao,Jin Wang,Na Qin,Emmanuel A. Ho,Carolyn L. Ren
出处
期刊:Lab on a Chip [Royal Society of Chemistry]
卷期号:22 (12): 2307-2314 被引量:16
标识
DOI:10.1039/d2lc00145d
摘要

The global COVID-19 pandemic caused by SARS-CoV-2 has resulted in an unprecedented economic and societal impact. Developing simple and accurate testing methods for point-of-care (POC) diagnosis is crucial not only for the control of COVID-19, but also for better response to similar outbreaks in the future. In this work, we present a novel proof-of-concept of a microfluidic microwave sensing method for POC diagnosis of the SARS-CoV-2 virus. This method relies on the antibody immobilized on the microwave sensor to selectively capture and concentrate the SARS-CoV-2 antigen or virus present in a buffer solution flowing through the sensor region in a microchannel. The capturing of the SARS-CoV-2 antigen or virus results in a change in the permittivity of the medium near the sensor region reflected by the resonance frequency shift which is used for detection. The use of microchannels offers precise control of the sample volume and the continuous flow nature also offers the potential to monitor the dynamic capturing process. The microwave-microfluidic device shows a good sensitivity of 0.1 ng ml-1 for the SARS-CoV-2 antigen and 4000 copies per ml for the SARS-CoV-2 virus. The resonance frequency shift presents a linear relationship with the logarithm of antigen or virus concentration, respectively. This detection method is able to distinguish SARS-CoV-2 from the antigen of human CD4 and two human coronaviruses (MERS and HKU1), which presents a new pathway towards POC diagnosis of the COVID-19 at the community level. It presents the potential to detect other viruses by functionalizing the microwave sensor with respective antibodies.

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
小蘑菇应助msk采纳,获得10
1秒前
1秒前
3秒前
3秒前
kkkkkk发布了新的文献求助10
6秒前
哦了欧了完成签到,获得积分10
6秒前
sheep发布了新的文献求助10
8秒前
wanci应助he采纳,获得10
8秒前
8秒前
Wangweiwen发布了新的文献求助10
9秒前
10秒前
许多年以后完成签到,获得积分10
11秒前
11秒前
yydssss发布了新的文献求助10
11秒前
msk发布了新的文献求助10
12秒前
搜集达人应助只昂张采纳,获得10
12秒前
12秒前
郝憨憨完成签到,获得积分10
14秒前
旺旺小小贝完成签到,获得积分10
14秒前
情怀应助欣慰的怜容采纳,获得20
14秒前
15秒前
LITAO完成签到,获得积分20
15秒前
Ava应助麻辣香锅采纳,获得10
15秒前
morecraft发布了新的文献求助10
15秒前
科目三应助lllkkk采纳,获得10
15秒前
机智的雁荷完成签到 ,获得积分10
18秒前
evan完成签到 ,获得积分10
18秒前
19秒前
he发布了新的文献求助10
21秒前
完美世界应助复杂的秋天采纳,获得10
21秒前
22秒前
23秒前
科研通AI6.1应助bobo采纳,获得10
23秒前
平淡凡双发布了新的文献求助10
23秒前
24秒前
清脆千青完成签到,获得积分10
28秒前
zhangzhangzhang应助正直听白采纳,获得10
28秒前
ccc发布了新的文献求助10
30秒前
31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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6347345
求助须知:如何正确求助?哪些是违规求助? 8162070
关于积分的说明 17168960
捐赠科研通 5403513
什么是DOI,文献DOI怎么找? 2861465
邀请新用户注册赠送积分活动 1839278
关于科研通互助平台的介绍 1688579