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

Fu, Yu1,2,3; Liu, Yan4; Song, Wenlu1; Yang, Delong5; Wu, Wenjie6; Lin, Jingyan3; Yang, Xiongtiao2; Zeng, Jian2; Rong, Lingzhi2; Xia, Jiaojiao2; Lei, Hongyi2; Yang, Ronghua6; Zhang, Mingxia3; Liao, Yuhui1

2023-12-01

10.1002/EXP.20230028

EXPLORATION   影响因子和分区

2766-8509

2766-2098

["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. image"]

molecular diagnostics monitoring and warning system pathogen identification point-of-care testing sample to answer

ESCI

英语

通讯

National Natural Science Foundation of China["81972019","82272248","82002244","82272276"] ; Natural Science Fund of Guangdong Province for Distinguished Young Scholars[2022B1515020089] ; China Postdoctoral Science Foundation[2021M691428] ; Zhongnanshan Medical Foundation of Guangdong Province[ZNSA-2021012] ; Training project of National Science Foundation for Outstanding/ Excellent Young Scholars of Southern Medical University[C620PF0217] ; Shenzhen Science and Technological Foundation[JSGG20210901145200001] ; Basic and Applied Basic Research Foundation of Guangdong Province[2021B1515120036] ; null[2021YFC2302200]

Science & Technology - Other Topics ; Materials Science

Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Multidisciplinary Sciences

WOS:001207864500009

WILEY

Web of Science

1.Southern Med Univ, Dermatol Hosp, Mol Diag & Treatment Ctr Infect Dis, Guangzhou 510000, Peoples R China
2.Longgang Dist Cent Hosp Shenzhen, Shenzhen 518000, Peoples R China
3.Southern Univ Sci & Technol, Shenzhen Peoples Hosp 3, Natl Clin Res Ctr Infect Dis, Affiliated Hosp 2, Shenzhen 518000, Guangdong, Peoples R China
4.Natl Univ Singapore, Inst Hlth Innovat & Technol, Singapore, Singapore
5.First Peoples Hosp Foshan, Dept Burn Surg, Foshan, Peoples R China
6.South China Univ Technol, Guangzhou Peoples Hosp 1, Dept Burn & Plast Surg, Guangzhou 510000, Peoples R China

Fu, Yu,Liu, Yan,Song, Wenlu,et al. Early monitoring-to-warning Internet of Things system for emerging infectious diseases via networking of light-triggered point-of-care testing devices[J]. EXPLORATION,2023,3(6).

Fu, Yu.,Liu, Yan.,Song, Wenlu.,Yang, Delong.,Wu, Wenjie.,...&Liao, Yuhui.(2023).Early monitoring-to-warning Internet of Things system for emerging infectious diseases via networking of light-triggered point-of-care testing devices.EXPLORATION,3(6).

Fu, Yu,et al."Early monitoring-to-warning Internet of Things system for emerging infectious diseases via networking of light-triggered point-of-care testing devices".EXPLORATION 3.6(2023).