Computational modeling for PPE filtration: Informed by material characterization, microbial penetration, and particle mechanics.
This work assesses the current characterization framework of single-use personal protective equipment (PPE) per recognized consensus standards and presents a novel quantitative approach to refining characterization of barrier materials and predicting PPE performance. Scanning electron microscopy (SE...
| Publicado en: | Journal of Occupational & Environmental Hygiene Vol. 22; no. 10; pp. 836 - 854 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188805090&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188805090 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459624 V1L jtl: Journal of Occupational & Environmental Hygiene issn: 15459624 maglogo: Y pubinfo: dt: Oct2025 vid: 22 iid: 10 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 188805090 187806086 188805090 188805090 10.1080/15459624.2025.2499611 188805090 ppf: 836 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computational modeling for PPE filtration: Informed by material characterization, microbial penetration, and particle mechanics. aug: au: Kastor, William Martin, Andrew Lee, Sang Hyuk Fu, Xiao Kilinc-Balci, F. Selcen Coby, Christian Cohen, Ethan Saylor, David M. Elder, Robert Vorvolakos, Katherine Donohue, Marc Wood, Steven C. Karunasena, Enusha affil: Division of Biology, Chemistry, and Materials Science, Office of Science and Engineering Laboratories, US Food and Drug Administration (FDA), Oak Ridge, Tennessee sug: subj: Personal Protective Equipment Standards Disposable Equipment Computer Simulation Materials Testing Particle Size N95 Respirators Standards Microscopy, Electron, Scanning Human Image Processing, Computer Assisted Methods Infection Control Methods Disease Transmission Prevention and Control Sterilization and Disinfection Decontamination, Hazardous Materials Methods Software Funding Source ab: This work assesses the current characterization framework of single-use personal protective equipment (PPE) per recognized consensus standards and presents a novel quantitative approach to refining characterization of barrier materials and predicting PPE performance. Scanning electron microscopy (SEM) and image analysis software (Diameter J) were used to examine the microscopic fiber and pore structure of filter layers of surgical N95 filtering facepiece respirators, before and after exposure to chemicals used in decontamination modalities (vaporized hydrogen peroxide or ozone). The effect of porosity on penetration was assessed by bacterial filtration efficiency (BFE) testing. Results from these experiments were incorporated into a physics-based computational model of overall filtration efficiency (OFE). Material thickness, fiber thickness, and packing density were introduced as inputs into a sequence of mathematical expressions to calculate OFE for filtration layers from surgical N95 respirators. OFE derived from the computational model was compared with experimental data for Staphylococcus aureus filtration (per ASTM F2101-23). The resulting output from the model is conservative and predictive when compared with experimental results to assess OFE and filtration efficiency relative to specific particle-size ranges. The model functions may be used to help inform or expedite design or manufacturing decision-making on surgical N95 respirators. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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