Droplet Micro‐Sensor and Detection of Respiratory Droplet Transmission
Source abstract
Abstract
Abstract Droplet transmission is the primary infection route for respiratory diseases like COVID‐19 and influenza, but small and low‐cost wearable droplet detection devices are a significant challenge. Herein, a respiratory droplet micro‐sensor based on graphene oxide quantum dots (GOQDs) assembled onto SiO2 microspheres by the nebulized natural deposition is presented. Benefiting from the energy dissipation of the microsphere to droplets, the sensor can detect droplets as far as 2 m from coughing. With this sensor, droplet signal variations caused by some factors like distance, speech, angles, and wind directions are explored, and the effectiveness of different protective measures in preventing droplet transmission is evaluated. This droplet detection technology is expected to be utilized for the development of personal detection and protection devices against infectious respiratory diseases.
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Research context
OpenAlex topics: Infection Control and Ventilation · Air Quality Monitoring and Forecasting · Mobile Crowdsensing and Crowdsourcing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Information Science and Technology Southwest Jiaotong University Chengdu 611756 China
Department of Respiratory and Critical Care Medicine The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University Chengdu 610014 China
Funding
National Key Research and Development Program of China · Fundamental Research Funds for the Central Universities · Chengdu Science and Technology Bureau · Natural Science Foundation of Sichuan Province · Key Research and Development Program of Sichuan Province
References (33)
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