Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation

Abstract This paper proposes an investigating SARS-CoV-2 inactivation on surfaces with UV-C LED irradiation using our in-house-developed ray-tracing simulator. The results are benchmarked with experiments and Zemax OpticStudio commercial software simulation to demonstrate our simulator's easy a...

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Autores principales:	Po-Yen Lai, Huizhe Liu, Ray Jia Hong Ng, Bianca Wint Hnin Thet, Hong-Son Chu, Jin Wah Ronnie Teo, Qunxiang Ong, Yuanjie Liu, Ching Eng Png
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/94da0ba77adf40a293925887bf662ada
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spelling	oai:doaj.org-article:94da0ba77adf40a293925887bf662ada2021-11-21T12:19:37ZInvestigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation10.1038/s41598-021-02156-82045-2322https://doaj.org/article/94da0ba77adf40a293925887bf662ada2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02156-8https://doaj.org/toc/2045-2322Abstract This paper proposes an investigating SARS-CoV-2 inactivation on surfaces with UV-C LED irradiation using our in-house-developed ray-tracing simulator. The results are benchmarked with experiments and Zemax OpticStudio commercial software simulation to demonstrate our simulator's easy accessibility and high reliability. The tool can input the radiant profile of the flexible LED source and accurately yield the irradiance distribution emitted from an LED-based system in 3D environments. The UV-C operating space can be divided into the safe, buffer, and germicidal zones for setting up a UV-C LED system. Based on the published measurement data, the level of SARS-CoV-2 inactivation has been defined as a function of UV-C irradiation. A realistic case of public space, i.e., a food court in Singapore, has been numerically investigated to demonstrate the relative impact of environmental UV-C attenuation on the SARS-CoV-2 inactivation. We optimise a specific UV-C LED germicidal system and its corresponding exposure time according to the simulation results. These ray-tracing-based simulations provide a useful guideline for safe deployment and efficient design for germicidal UV-C LED technology.Po-Yen LaiHuizhe LiuRay Jia Hong NgBianca Wint Hnin ThetHong-Son ChuJin Wah Ronnie TeoQunxiang OngYuanjie LiuChing Eng PngNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Po-Yen Lai Huizhe Liu Ray Jia Hong Ng Bianca Wint Hnin Thet Hong-Son Chu Jin Wah Ronnie Teo Qunxiang Ong Yuanjie Liu Ching Eng Png Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
description	Abstract This paper proposes an investigating SARS-CoV-2 inactivation on surfaces with UV-C LED irradiation using our in-house-developed ray-tracing simulator. The results are benchmarked with experiments and Zemax OpticStudio commercial software simulation to demonstrate our simulator's easy accessibility and high reliability. The tool can input the radiant profile of the flexible LED source and accurately yield the irradiance distribution emitted from an LED-based system in 3D environments. The UV-C operating space can be divided into the safe, buffer, and germicidal zones for setting up a UV-C LED system. Based on the published measurement data, the level of SARS-CoV-2 inactivation has been defined as a function of UV-C irradiation. A realistic case of public space, i.e., a food court in Singapore, has been numerically investigated to demonstrate the relative impact of environmental UV-C attenuation on the SARS-CoV-2 inactivation. We optimise a specific UV-C LED germicidal system and its corresponding exposure time according to the simulation results. These ray-tracing-based simulations provide a useful guideline for safe deployment and efficient design for germicidal UV-C LED technology.
format	article
author	Po-Yen Lai Huizhe Liu Ray Jia Hong Ng Bianca Wint Hnin Thet Hong-Son Chu Jin Wah Ronnie Teo Qunxiang Ong Yuanjie Liu Ching Eng Png
author_facet	Po-Yen Lai Huizhe Liu Ray Jia Hong Ng Bianca Wint Hnin Thet Hong-Son Chu Jin Wah Ronnie Teo Qunxiang Ong Yuanjie Liu Ching Eng Png
author_sort	Po-Yen Lai
title	Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
title_short	Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
title_full	Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
title_fullStr	Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
title_full_unstemmed	Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation
title_sort	investigation of sars-cov-2 inactivation using uv-c leds in public environments via ray-tracing simulation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/94da0ba77adf40a293925887bf662ada
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Investigation of SARS-CoV-2 inactivation using UV-C LEDs in public environments via ray-tracing simulation

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