Back

Real-time inactivation of airborne SARS-CoV-2 using ultraviolet-C

Koutras, C.; Wade, R. L.

2022-10-05 microbiology
10.1101/2022.10.04.510919 bioRxiv
Show abstract

COVID-19 is a life-threatening respiratory infection that has had a profound impact on indoor air quality awareness. Ultraviolet-C (UV-C) is a physical disinfection process that triggers microbial inactivation through creating irreversible genetic material damage. An upper room device equipped with germicidal UV-C (UR GUV) was evaluated against airborne SARS-CoV-2 for antimicrobial efficacy using a robust aerosol testing protocol. In 30 minutes, it led to a virucidal efficacy of 99.994 % in a large, room-sized chamber. UR GUV is a promising mitigation strategy for airborne pathogens.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 4%
31.8%
2
Indoor Air
○ 10 papers in training set
Top 0.1%
13.0%
3
Photochemistry and Photobiology
○ 10 papers in training set
Top 0.1%
6.9%
50% of probability mass above
4
Microbiology Spectrum
● 469 papers in training set
Top 2%
5.7%
5
Applied and Environmental Microbiology
● 339 papers in training set
Top 1%
5.3%
6
Journal of Hospital Infection
○ 29 papers in training set
Top 0.1%
4.1%
7
Journal of Visualized Experiments
● 34 papers in training set
Top 0.2%
2.7%
8
mSphere
● 302 papers in training set
Top 3%
2.4%
9
Scientific Reports
○ 3612 papers in training set
Top 46%
2.2%
10
Environmental Science & Technology
● 64 papers in training set
Top 0.7%
1.5%
11
Frontiers in Microbiology
○ 427 papers in training set
Top 6%
1.2%
12
International Journal of Environmental Research and Public Health
○ 128 papers in training set
Top 4%
1.2%
13
Environmental Science & Technology Letters
● 21 papers in training set
Top 0.2%
1.1%
14
Journal of Clinical Microbiology
● 130 papers in training set
Top 1%
0.9%
15
Antimicrobial Agents and Chemotherapy
● 187 papers in training set
Top 2%
0.9%
16
ERJ Open Research
● 47 papers in training set
Top 0.9%
0.6%
17
Access Microbiology
● 25 papers in training set
Top 0.9%
0.6%
18
Viruses
○ 332 papers in training set
Top 5%
0.6%