Cargando…

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

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 u...

Descripción completa

Detalles Bibliográficos
Autores principales: Bayin, Qiaoge, Huang, Lei, Ren, Chunhui, Fu, Yusheng, Ma, Xing, Guo, Jinhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874965/
https://www.ncbi.nlm.nih.gov/pubmed/33714475
http://dx.doi.org/10.1016/j.talanta.2021.122207
_version_ 1783649695861571584
author Bayin, Qiaoge
Huang, Lei
Ren, Chunhui
Fu, Yusheng
Ma, Xing
Guo, Jinhong
author_facet Bayin, Qiaoge
Huang, Lei
Ren, Chunhui
Fu, Yusheng
Ma, Xing
Guo, Jinhong
author_sort Bayin, Qiaoge
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7874965
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-78749652021-02-11 Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system Bayin, Qiaoge Huang, Lei Ren, Chunhui Fu, Yusheng Ma, Xing Guo, Jinhong Talanta Article 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. Elsevier B.V. 2021-05-15 2021-02-10 /pmc/articles/PMC7874965/ /pubmed/33714475 http://dx.doi.org/10.1016/j.talanta.2021.122207 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bayin, Qiaoge
Huang, Lei
Ren, Chunhui
Fu, Yusheng
Ma, Xing
Guo, Jinhong
Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title_full Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title_fullStr Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title_full_unstemmed Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title_short Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system
title_sort anti-sars-cov-2 igg and igm detection with a gmr based lfia system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874965/
https://www.ncbi.nlm.nih.gov/pubmed/33714475
http://dx.doi.org/10.1016/j.talanta.2021.122207
work_keys_str_mv AT bayinqiaoge antisarscov2iggandigmdetectionwithagmrbasedlfiasystem
AT huanglei antisarscov2iggandigmdetectionwithagmrbasedlfiasystem
AT renchunhui antisarscov2iggandigmdetectionwithagmrbasedlfiasystem
AT fuyusheng antisarscov2iggandigmdetectionwithagmrbasedlfiasystem
AT maxing antisarscov2iggandigmdetectionwithagmrbasedlfiasystem
AT guojinhong antisarscov2iggandigmdetectionwithagmrbasedlfiasystem