New approach to assessing nanofiber-based air filters efficiency across variable airflow velocities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F24%3A10256617" target="_blank" >RIV/61989100:27360/24:10256617 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27640/24:10256617

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1383586624047415" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1383586624047415</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.seppur.2024.131002" target="_blank" >10.1016/j.seppur.2024.131002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

New approach to assessing nanofiber-based air filters efficiency across variable airflow velocities

Popis výsledku v původním jazyce

Filtration is a fundamental method in aerosol science for separating unwanted particles, mainly through air filters. Since the onset of the SARS-CoV-2 pandemic in 2019, there has been an increased demand for high-efficiency, low-cost nanofiber-based respirators capable of filtering particles within the size range of viruses and bacteria. The quality factor QF is the critical parameter for evaluating these respirators’ practical effectiveness. QF integrates filtration efficiency with a tolerable pressure drop for the respiratory process. Typically, this pressure drop is reported as a function of the flow rate for a given respirator. However, the physical mechanism of filtration is governed by the mean frontal airflow velocity, which depends not only on the flow rate but also on the membrane area, a parameter often unknown in practical applications. The aerosol flow rate influences filtration efficiency and pressure drop through the membrane, yet a comprehensive physical description of this process has been lacking. Therefore, we developed a mathematical-physical model for filtration using a nanofibrous membrane that accounts for all relevant physical mechanisms. This model provides a more accurate definition of the quality factor. Our findings indicate that filtration efficiency does not reach 100 %, even at near-zero air velocities, and that efficiency approaches an asymptotic plateau at high velocities. When fitted to experimental data from various filters using a three-parameters approach, the model&apos;s predictions show strong agreement, particularly within the central region of the uncertainty band. © 2024 Elsevier B.V.

Název v anglickém jazyce

New approach to assessing nanofiber-based air filters efficiency across variable airflow velocities

Popis výsledku anglicky

Filtration is a fundamental method in aerosol science for separating unwanted particles, mainly through air filters. Since the onset of the SARS-CoV-2 pandemic in 2019, there has been an increased demand for high-efficiency, low-cost nanofiber-based respirators capable of filtering particles within the size range of viruses and bacteria. The quality factor QF is the critical parameter for evaluating these respirators’ practical effectiveness. QF integrates filtration efficiency with a tolerable pressure drop for the respiratory process. Typically, this pressure drop is reported as a function of the flow rate for a given respirator. However, the physical mechanism of filtration is governed by the mean frontal airflow velocity, which depends not only on the flow rate but also on the membrane area, a parameter often unknown in practical applications. The aerosol flow rate influences filtration efficiency and pressure drop through the membrane, yet a comprehensive physical description of this process has been lacking. Therefore, we developed a mathematical-physical model for filtration using a nanofibrous membrane that accounts for all relevant physical mechanisms. This model provides a more accurate definition of the quality factor. Our findings indicate that filtration efficiency does not reach 100 %, even at near-zero air velocities, and that efficiency approaches an asymptotic plateau at high velocities. When fitted to experimental data from various filters using a three-parameters approach, the model&apos;s predictions show strong agreement, particularly within the central region of the uncertainty band. © 2024 Elsevier B.V.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20400 - Chemical engineering

Projekt

<a href="/cs/project/EH22_008%2F0004631" target="_blank" >EH22_008/0004631: Materiály a technologie pro udržitelný rozvoj</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Separation and Purification Technology

ISSN

1383-5866

e-ISSN

—

Svazek periodika

360

Číslo periodika v rámci svazku

360

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

—

Kód UT WoS článku

001388864400001

EID výsledku v databázi Scopus

2-s2.0-85211742364