Emissions from Hydrogen Peroxide Disinfection and Their Interaction with Mask Surfaces

IF 4.3 Q2 ENGINEERING, CHEMICAL
Pearl Abue, Nirvan Bhattacharyya, Mengjia Tang, Leif G. Jahn, Daniel Blomdahl, David T. Allen, Richard L. Corsi, Atila Novoselac, Pawel K. Mistzal and Lea Hildebrandt Ruiz*, 
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Abstract

A rise in the disinfection of spaces occurred as a result of the COVID-19 pandemic as well as an increase in people wearing facial coverings. Hydrogen peroxide was among the recommended disinfectants for use against the virus. Previous studies have investigated the emissions of hydrogen peroxide associated with the disinfection of spaces and masks; however, those studies did not focus on the emitted byproducts from these processes. Here, we simulate the disinfection of an indoor space with H2O2 while a person wearing a face mask is present in the space by using an environmental chamber with a thermal manikin wearing a face mask over its breathing zone. We injected hydrogen peroxide to disinfect the space and utilized a chemical ionization mass spectrometer (CIMS) to measure the primary disinfectant (H2O2) and a Vocus proton transfer reaction time-of-flight mass spectrometer (Vocus PTR-ToF-MS) to measure the byproducts from disinfection, comparing concentrations inside the chamber and behind the mask. Concentrations of the primary disinfectant and the byproducts inside the chamber and behind the mask remained elevated above background levels for 2–4 h after disinfection, indicating the possibility of extended exposure, especially when continuing to wear the mask. Overall, our results point toward the time-dependent impact of masks on concentrations of disinfectants and their byproducts and a need for regular mask change following exposure to high concentrations of chemical compounds.

Abstract Image

Abstract Image

过氧化氢消毒排放物及其与面罩表面的相互作用
由于 COVID-19 大流行以及佩戴面部覆盖物的人数增加,空间消毒工作也随之增加。过氧化氢是推荐用于抗病毒的消毒剂之一。以前的研究已经调查了与空间和口罩消毒相关的过氧化氢排放情况,但这些研究并没有关注这些过程中的副产品排放。在这里,我们使用一个环境舱,在呼吸区放置一个戴着口罩的热敏人体模型,模拟室内空间在有人戴口罩的情况下使用 H2O2 进行消毒的过程。我们注入过氧化氢对空间进行消毒,并利用化学电离质谱仪 (CIMS) 测量主消毒剂(H2O2)和 Vocus 质子传递反应飞行时间质谱仪 (Vocus PTR-ToF-MS) 测量消毒副产物,比较室内和面罩后的浓度。在消毒后的 2-4 小时内,舱内和面罩后的主消毒剂和副产品浓度仍高于背景水平,这表明接触时间可能会延长,尤其是在继续佩戴面罩时。总之,我们的研究结果表明,口罩对消毒剂及其副产品浓度的影响与时间有关,因此在接触高浓度化学物质后需要定期更换口罩。
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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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