About: Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases.

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases. Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases.
Creator	Patterson, John Wallace, David Smith, Tyler Abbaszadegan, Morteza Alum, Absar Chang, Josh Chowdhury, Abhik Dave, Nikhil Ewell, Clinton Herckes, Pierre Kozicki, Michael Naufel, Mark Pascavis, Katie Zhang, Zhaobo
source	MedRxiv
abstract	Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an elusive and highly pathogenic agent, has resulted in the ongoing COVID-19 pandemic affecting numerous populations worldwide. New studies investigating the tenacity of SARS-CoV-2 have highlighted its ability to persist on a myriad of surfaces for several days, including gowns and shoes. As a result, there is a global need for sterilization of a variety of potentially-contaminated items, ranging from clothing to personal protective equipment like face coverings. To this end, we have designed and constructed a cost-effective, scalable, and sustainable sterilization system that uses ozone gas to inactivate viral particles. We sought to determine the efficacy of the system in the sterilization of viral particles as well as its ability to sterilize N95 respirators for reuse. N95 respirators inoculated with P22 bacteriophage and sterilized in the ozone system showed a 6-log10 reduction in viral load when treated at 25 ppm for 150 minutes. Further, N95 respirators treated with five 150-minute cycles at 35 ppm for a total concentration-time product (CT) of 26,250 ppm*min in the ozone system showed comparable filtration efficiency to untreated N95 respirators in a 50 to 200 nmr particulate challenge filtration test. Interestingly, the surgical N95 respirators tested showed complete inactivation of fluid resistance and degradation of the elasticity of polyisoprene straps after five cycles in the sterilization system. Taken together, these data suggest that while our ozone system may negatively affect certain protective aspects of surgical N95 respirators, it does effectively sterilize viral particles and can be utilized for a multitude of other use cases, including sterilizing polypropylene face coverings after potential SARS-CoV-2 contamination. In addition to providing long-term environmental benefits, deployment of this system during the ongoing pandemic reduces the risk of COVID-19 community transmission while conserving monetary resources otherwise spent on the continuous purchase of disposable face coverings.
has issue date	2020-06-26(xsd:dateTime)
bibo:doi	10.1101/2020.06.24.20139469
has license	medrxiv
sha1sum (hex)	e0d3304bbca5dcf21adad3424df892206773553f
schema:url	https://doi.org/10.1101/2020.06.24.20139469
resource representing a document's title	Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases.
resource representing a document's body	covid:e0d3304bbca5dcf21adad3424df892206773553f#body_text
is schema:about of	named entity 'COVID-19' named entity 'system' named entity 'scalable' named entity 'calibration curve' named entity 'bacteriophage' named entity 'ozone' named entity 'Difco' named entity 'nylon' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'ozonation' named entity 'TSB' named entity 'ppm' named entity 'ozone' named entity 'FDA' named entity 'respirator' named entity 'viral load' named entity 'Yale University' named entity 'linear approximation' named entity 'N95 respirators' named entity 'ozone sterilization' named entity 'ozone generator' named entity 'peracetic acid' named entity 'Difco' named entity 'log reduction' named entity 'nanoparticle' named entity 'ignition coil' named entity 'electrode' named entity 'high-throughput' named entity 'N95 respirator' named entity 'medical care' named entity 'PVC' named entity 'primary winding' named entity 'well-ventilated' named entity 'epidemic' named entity 'ozone generator' named entity 'aerosols' named entity 'virucidal' named entity 'Tryptic Soy Broth' named entity 'sterilization' named entity 'CC-BY-NC-ND 4.0' named entity 'ppm' named entity 'ozone' named entity 'SARS-CoV-2' named entity 'ozone' named entity 'OSHA' named entity 'ASTM' named entity 'ozone' named entity 'microcontroller' named entity 'ppm' named entity 'sterilization' named entity 'medRxiv' named entity 'epidemic' named entity 'ozone' named entity 'corona discharge' named entity 'dioctyl phthalate' named entity 'zip ties' named entity 'ozone' named entity 'autoclaved' named entity 'respirator' named entity 'sterilization' named entity 'primary winding' named entity 'high-throughput' named entity 'human health' named entity 'ozone' named entity 'ozone' named entity 'ozone' named entity 'ozone' named entity 'ozone' named entity 'ignition coil' named entity 'sterilization' named entity 'COVID-19'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software