School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China.
Talanta. 2021 May 15;227:122207. doi: 10.1016/j.talanta.2021.122207. Epub 2021 Feb 10.
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.
自 2019 年 12 月以来，严重急性呼吸系统综合症冠状病毒 2（SARS-CoV-2）已导致数百万人死亡，并严重威胁人类生命安全；事实上，这种情况正在恶化，每天都有许多人感染新冠病毒。因此，通过抗体检测了解患者的感染程度和感染史非常重要。这些信息对政府和医院制定合理的预防政策和治疗计划也很有用。在本文中，我们开发了一种基于超顺磁纳米粒子（SMNP）和巨磁电阻（GMR）传感系统的侧向流动免疫分析（LFIA）方法，用于同时定量检测抗 SARS-CoV-2 免疫球蛋白 M（IgM）和 G（IgG）。我们采用了一种简单有效的共沉淀法来制备 SMNP，它具有良好的分散性和磁性，平均粒径为 68nm。支持物联网的 GMR 可以通过蓝牙协议将医疗数据传输到智能手机上，使医务人员能够获得患者信息。基于 SMNP 支持 LFIA 的提出的 GMR 系统在成本效益和时间效率方面具有突出的优势，并且易于操作。我们相信，所提出的基于 GMR 的 LFIA 系统将非常有助于医务人员分析和保存 COVID-19 患者的感染记录。
