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Onsite real-time detection of covid-like-virus transmission through air using spark-induced plasma spectroscopy.
Yang, Jun-Ho; Jung, Jaehun; Kim, Seonghwan; Cho, Youngkyu; Yoh, Jack J.
  • Yang JH; Department of Mechanical & Aerospace Engineering, Seoul National University, 1 Gwanakro, Gwanakgu, Seoul 151-742, Republic of Korea.
  • Jung J; Department of Aerospace System Engineering, Seoul National University, 1 Gwanakro, Gwanakgu, Seoul 151-742, Republic of Korea.
  • Kim S; Sensor Lab, Smart Device Team, Samsung Research, Samsung Electronics Co., LTD, Seoul R&D Campus, Umyeon-dong 33, Seongchon-gil, Secho-gu, Seoul 06765, Republic of Korea.
  • Cho Y; Sensor Lab, Smart Device Team, Samsung Research, Samsung Electronics Co., LTD, Seoul R&D Campus, Umyeon-dong 33, Seongchon-gil, Secho-gu, Seoul 06765, Republic of Korea.
  • Yoh JJ; Department of Mechanical & Aerospace Engineering, Seoul National University, 1 Gwanakro, Gwanakgu, Seoul 151-742, Republic of Korea. Electronic address: jjyoh@snu.ac.kr.
Sci Total Environ ; 770: 144725, 2021 May 20.
Article in English | MEDLINE | ID: covidwho-1046138
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article