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Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks

Authors :
Malihe Zeraati
Rana Pourmohamad
Bahareh Baghchi
Narendra Pal Singh Chauhan
Ghasem Sargazi
Source :
Journal of Saudi Chemical Society, Journal of Saudi Chemical Society, Vol 25, Iss 11, Pp 101348-(2021)
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

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.

Details

ISSN :
13196103
Volume :
25
Database :
OpenAIRE
Journal :
Journal of Saudi Chemical Society
Accession number :
edsair.doi.dedup.....4def5d72b032456b52704ae5bc3cf229
Full Text :
https://doi.org/10.1016/j.jscs.2021.101348