Author: Yang, Jun-Ho; Jung, Jaehun; Kim, Seonghwan; Cho, Youngkyu; Yoh, Jack J.
Title: Onsite real-time detection of covid-like-virus transmission through air using spark-induced plasma spectroscopy Cord-id: lhlf07o3 Document date: 2021_5_20
ID: lhlf07o3
Snippet: In March 2020, COVID-19 was officially classified as a pandemic and as a consequence people have adopted strenuous measures to prevent infection, such as the wearing of PPE and self-quarantining, with no knowledge of when the measures will no longer be necessary. Coronavirus has long been known to be non-infectious when airborne; however, studies are starting to show that the virus can infect through airborne transmission and can remain airborne for a significant period of time. In the present s
Document: In March 2020, COVID-19 was officially classified as a pandemic and as a consequence people have adopted strenuous measures to prevent infection, such as the wearing of PPE and self-quarantining, with no knowledge of when the measures will no longer be necessary. Coronavirus has long been known to be non-infectious when airborne; however, studies are starting to show that the virus can infect through airborne transmission and can remain airborne for a significant period of time. In the present study, a spark-induced plasma spectroscopy was devised to characterize the air propagation of the virus in real-time. The risk of air propagation was evaluated in terms of changes in virus concentration with respect to distance traveled and measurement time. Thus, our study provides a benchmark for performing real-time detection of virus propagation and instantaneous monitoring of coronavirus in the air.
Search related documents:
Co phrase search for related documents- absence presence and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- lod detection limit and machine learning: 1, 2, 3
Co phrase search for related documents, hyperlinks ordered by date