School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Analyst. 2021 Dec 6;146(24):7702-7709. doi: 10.1039/d1an01592c.
Acute myocardial infarction (AMI) has become a worldwide health problem because of its rapid onset and high mortality. Cardiac troponin I (cTnI) is the gold standard for diagnosis of AMI, and its rapid and accurate detection is critical for early diagnosis and management of AMI. Using a lateral flow immunoassay with upconverting nanoparticles as fluorescent probes, we developed an up-conversion fluorescence reader capable of rapidly quantifying the cTnI concentration in serum based upon the fluorescence intensity of the test and control lines on the test strip. Reliable detection of cTnI in the range 0.1-50 ng mL could be achieved in 15 min, with a lower detection limit of 0.1 ng mL. The reader was also adapted for use on a 5th generation (5G) mobile network enabled intelligent chest pain center. Through Bluetooth wireless communication, the results achieved using the reader on an ambulance heading to a central hospital could be transmitted to a 5G smartphone and uploaded for real-time edge computing and cloud storage. An application in the 5G smartphone allows users to upload their medical information to establish dedicated electronic health records and doctors to monitor patients' health status and provide remote medical services. Combined with mobile internet and big data, the 5G-enabled intelligent chest pain center with up-conversion lateral flow immunoassay may predict the onset of AMI and save valuable time for patients suffering an AMI.
急性心肌梗死（AMI）因其发病迅速、死亡率高，已成为全球性的健康问题。心肌肌钙蛋白 I（cTnI）是诊断 AMI 的金标准，其快速、准确的检测对 AMI 的早期诊断和治疗至关重要。我们使用上转换纳米粒子作为荧光探针的侧向流动免疫测定法，开发了一种上转换荧光读取器，能够根据测试带上测试线和控制线的荧光强度，快速定量血清中的 cTnI 浓度。该读取器可在 15 分钟内可靠检测 0.1-50ng/mL 范围内的 cTnI，检测下限为 0.1ng/mL。该读取器还适用于基于 5G 移动网络的智能胸痛中心。通过蓝牙无线通信，救护车在前往中心医院的途中使用读取器获得的结果可以传输到 5G 智能手机，并上传进行实时边缘计算和云存储。智能手机中的应用程序允许用户上传他们的医疗信息，以建立专门的电子健康记录，医生可以监测患者的健康状况并提供远程医疗服务。结合移动互联网和大数据，配备上转换侧向流动免疫测定法的 5G 智能胸痛中心可以预测 AMI 的发作，并为 AMI 患者节省宝贵的时间。
