Early monitoring‐to‐warning Internet of Things system for emerging infectious diseases via networking of light‐triggered point‐of‐care testing devices
Yu Fu,
Yan Liu,
Wenlu Song,
Delong Yang,
Wenjie Wu,
Jingyan Lin,
Xiongtiao Yang,
Jian Zeng,
Lingzhi Rong,
Jiaojiao Xia,
Hongyi Lei,
Ronghua Yang,
Mingxia Zhang,
Yuhui Liao
Affiliations
Yu Fu
Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital Southern Medical University Guangzhou China
Yan Liu
Institute for Health Innovation and Technology National University of Singapore Singapore Singapore
Wenlu Song
Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital Southern Medical University Guangzhou China
Delong Yang
Department of Burn Surgery the First People's Hospital of Foshan Foshan China
Wenjie Wu
Department of Burn and Plastic Surgery Guangzhou First People's Hospital South China University of Technology Guangzhou China
Jingyan Lin
National Clinical Research Center for Infectious Disease the Second Affiliated Hospital of Southern University of Science and Technology Shenzhen Third People's Hospital Shenzhen China
Xiongtiao Yang
Longgang District Central Hospital of Shenzhen Shenzhen China
Jian Zeng
Longgang District Central Hospital of Shenzhen Shenzhen China
Lingzhi Rong
Longgang District Central Hospital of Shenzhen Shenzhen China
Jiaojiao Xia
Longgang District Central Hospital of Shenzhen Shenzhen China
Hongyi Lei
Longgang District Central Hospital of Shenzhen Shenzhen China
Ronghua Yang
Department of Burn and Plastic Surgery Guangzhou First People's Hospital South China University of Technology Guangzhou China
Mingxia Zhang
National Clinical Research Center for Infectious Disease the Second Affiliated Hospital of Southern University of Science and Technology Shenzhen Third People's Hospital Shenzhen China
Yuhui Liao
Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital Southern Medical University Guangzhou China
Abstract 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.
