Early monitoring‐to‐warning Internet of Things system for emerging infectious diseases via networking of light‐triggered point‐of‐care testing devices

• Published in: Exploration (Beijing, China) Vol. 3; no. 6; pp. 20230028 - n/a
• Main Authors: Fu, Yu, Liu, Yan, Song, Wenlu, Yang, Delong, Wu, Wenjie, Lin, Jingyan, Yang, Xiongtiao, Zeng, Jian, Rong, Lingzhi, Xia, Jiaojiao, Lei, Hongyi, Yang, Ronghua, Zhang, Mingxia, Liao, Yuhui
• Format: Journal Article
• Language: English
• Published: China John Wiley & Sons, Inc 01.12.2023; John Wiley and Sons Inc; Wiley
• Subjects: Artificial intelligence; Blood vessels; Control systems; COVID-19; Dengue fever; Disease control; Disease prevention; Disease transmission; Early warning systems; Epidemics; Genetic screening; Infectious diseases; Internet of Things; Irradiation; Light; Light irradiation; molecular diagnostics; Monitoring; monitoring and warning system; Networking; Nucleic acids; pathogen identification; Performance evaluation; Photochemistry; Point of care testing; Polymerase chain reaction; Portable equipment; Reagents; Risk management; sample to answer; Software; Surveillance systems; molecular diagnostics; sample to answer; point‐of‐care testing; pathogen identification; monitoring and warning system
• ISSN: 2766-8509; 2766-2098; 2766-2098
• DOI: 10.1002/EXP.20230028

Early monitoring and warning arrangements are effective ways to distinguish infectious agents and control the spread of epidemic diseases. Current testing technologies, which cannot achieve rapid detection in the field, have a risk of slowing down the response time to the disease. In addition, there is still no epidemic surveillance system, implementing prevention and control measures is slow and inefficient. Motivated by these clinical needs, a sample‐to‐answer genetic diagnosis platform based on light‐controlled capillary modified with a photocleavable linker is first developed, which could perform nucleic acid separation and release by light irradiation in less than 30 seconds. Then, on site polymerase chain reaction was performed in a handheld closed‐loop convective system. Test reports are available within 20 min. Because this method is portable, rapid, and easy to operate, it has great potential for point‐of‐care testing. Additionally, through multiple device networking, a real‐time artificial intelligence monitoring system for pathogens was developed on a cloud server. Through data reception, analysis, and visualization, the system can send early warning signals for disease control and prevention. Thus, anti‐epidemic measures can be implemented effectively, and deploying and running this system can improve the capabilities for the prevention and control of infectious diseases. There is still no epidemic surveillance system, implementing prevention and control measures is slow and inefficient. This study developed a rapid point‐of‐care (POC) testing device for detecting pathogens. Through multi‐device networking, an early monitoring and warning system for major infectious diseases was developed. This study makes a contribution to the urgent need for a system to prevent and control the spread of epidemic diseases.