Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks
Authors:
- Malihe ZeraatiMZMalihe Zeraati
- Rana PourmohamadRPRana Pourmohamad
- Bahareh BaghchiBBBahareh Baghchi
- Narendra Pal Singh ChauhanNCNarendra Pal Singh Chauhan
- Ghasem SargaziGSGhasem Sargazi
Open Access
- 11 September 2021
- journal article
- research article
- Published by Springer Nature in Journal of Saudi Chemical Society
- Vol. 25 (11) , 101348
Abstract
Currently, the only widely available tool for controlling the SARS-CoV-2 pandemic is nonpharmacological interventions (NPIs). Coronavirus aerosols are around 0.3–2 µm in diameter (0.9 m in mass). The present study used artificial intelligence such as gene expression programming (GEP) and genetic algorithms (GA) were used to predict and optimize the diameter of Nylon-6,6 nanofibers via electrospinning for protection against coronavirus. It is suggested that using the controlled experimental conditions such as concentration of nylon-6,6 (16% wt/v), applied voltage (26 kV), working distance (18 cm) and injection rate (0.2 mL/h) have resulted the diameter of nylon-6,6 nanofibers about 55.8 nm. Coronavirus face masks could use the obtained diameter and electrostatic interaction between viral particles and naofibers as active layers.Keywords
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