4.7 Article

Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system

期刊

TALANTA
卷 227, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2021.122207

关键词

SARS-CoV-2; Antibody testing; Superparamagnetic nanoparticle; Lateral flow immunoassay; Giant magnetoresistance-based sensing system

向作者/读者索取更多资源

The study introduces a novel lateral flow immunoassay method based on superparamagnetic nanoparticles and giant magnetoresistance sensing system for simultaneous quantitative detection of anti-SARS-CoV-2 immunoglobulin M and G. This method offers advantages in cost-effectiveness, time efficiency, and ease of operation.
Since December 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused millions of deaths and seriously threatened the safety of human life; indeed, this situation is worsening and many people are infected with the new coronavirus every day. Therefore, it is very important to understand patients' degree of infection and infection history through antibody testing. Such information is useful also for the government and hospitals to formulate reasonable prevention policies and treatment plans. In this paper, we develop a lateral flow immunoassay (LFIA) method based on superparamagnetic nanoparticles (SMNPs) and a giant magnetoresistance (GMR) sensing system for the simultaneously quantitative detection of anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG). A simple and time-effective co-precipitation method was utilized to prepare the SMNPs, which have good dispersibility and magnetic property, with an average diameter of 68 nm. The Internet of Medical Things-supported GMR could transmit medical data to a smartphone through the Bluetooth protocol, making patient information available for medical staff. The proposed GMR system, based on SMNP-supported LFIA, has an outstanding advantage in cost-effectiveness and time-efficiency, and is easy to operate. We believe that the suggested GMR based LFIA system will be very useful for medical staff to analyze and to preserve as a record of infection in COVID-19 patients.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据