Quantification of human aerosol emission by measuring different breathing patterns

IF 2.9 3区 环境科学与生态学 Q2 ENGINEERING, CHEMICAL
Carl Firle , Asmus Meyer-Plath , Dierk-Christoph Pöther , Peter Kujath
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Abstract

The pandemic of SARS-CoV-2 asked for airborne transmission risk assessments in occupational and daily life situations. Some physical activities (singing, wind instrument playing, sport) seem to have higher infection risk than speaking or breathing.
We conducted an exploratory human study (n = 30; nfemale = 13, nmale = 17) that assessed the aerosol emission per breath depending on breathing volume and inspiratory duration. The PExA instrument, “Particles in Exhaled Air 2.1” (PExA AB, Gothenburg, Sweden), was customized to measure inhalation flow rate. The instrument allows to simultaneously quantify breathing volumes and emitted aerosol particle concentrations using a Grimm 11-D aerosol spectrometer with size range 0.31 to >3.42 μm.
The results revealed a non-linear correlation of emitted aerosol particles on both breathing volume and inspiratory duration (RV2=0.55). The logarithmised particle counts exhibit a sigmoidal dependence on breathing volume and a decay-like dependence on inspiratory duration. Error-weighted data fitting was used to determine the parameters of our model function and enables to predict the aerosol emission per breath.
The interpretation of the aerosol emission data strengthens the theory of bronchiole fluid film burst. It suggests that fluid film burst starts not in respiratory bronchioles as is generally assumed, but in upper bronchioles. The increase of intrathoracic pressure for higher breathing volume leads to dynamic compression of upper and terminal bronchioles, and thus to an increase in particle emission. Its exponential increase that became evident in our data can be explained by the bifurcative branching along the respiratory tree. This interpretation further refines the theory of particle formation in human respiratory tract. Our model provides a functional parametrization as a tool to predict human aerosol emission for a wide range of breathing conditions. It is considered a valuable tool for airborne risk assessments.
通过测量不同的呼吸方式来量化人类的气溶胶排放
SARS-CoV-2大流行要求在职业和日常生活环境中进行空气传播风险评估。一些体力活动(唱歌、吹奏管乐器、运动)似乎比说话或呼吸有更高的感染风险。我们进行了一项探索性人体研究(n = 30; n = 13, n = 17),评估了每次呼吸的气溶胶排放取决于呼吸量和吸气时间。PExA仪器,“呼出空气中的颗粒2.1”(PExA AB,哥德堡,瑞典),是为测量吸入流速而定制的。该仪器可以同时量化呼吸量和排放的气溶胶颗粒浓度,使用格林11-D气溶胶光谱仪,尺寸范围为0.31至3.42 μm。结果表明,气溶胶颗粒的排放与呼吸量和吸气时间呈非线性相关(RV2=0.55)。对数粒子计数对呼吸量呈s型依赖性,对吸气时间呈衰减依赖性。误差加权数据拟合用于确定模型函数的参数,并能够预测每次呼吸的气溶胶排放。气溶胶发射数据的解释加强了细支气管液膜破裂理论。提示液膜破裂并非像一般认为的那样始于呼吸性细支气管,而是始于上细支气管。高呼吸量的胸内压力增加,导致上末细支气管的动态受压,从而导致颗粒排放增加。它的指数增长在我们的数据中变得明显,可以用呼吸树的分岔分支来解释。这一解释进一步完善了人类呼吸道颗粒形成的理论。我们的模型提供了一个功能参数化的工具,以预测人类气溶胶排放在大范围的呼吸条件。它被认为是空中风险评估的宝贵工具。
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来源期刊
Journal of Aerosol Science
Journal of Aerosol Science 环境科学-工程:化工
CiteScore
8.80
自引率
8.90%
发文量
127
审稿时长
35 days
期刊介绍: Founded in 1970, the Journal of Aerosol Science considers itself the prime vehicle for the publication of original work as well as reviews related to fundamental and applied aerosol research, as well as aerosol instrumentation. Its content is directed at scientists working in engineering disciplines, as well as physics, chemistry, and environmental sciences. The editors welcome submissions of papers describing recent experimental, numerical, and theoretical research related to the following topics: 1. Fundamental Aerosol Science. 2. Applied Aerosol Science. 3. Instrumentation & Measurement Methods.
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