Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks |
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| Institution: | 1. Department of Materials Engineering, Shahid Bahonar University of Kerman, 761694111 Kerman, Iran;2. ASU School of Computing, Informatics, and Decision System Engineering, Arizona State University, Tempe, AZ 85281, USA;3. Department of Emergency Medicine, School of Medicine Science, Kermanshah, Iran;4. Department of Chemistry, Faculty of Science, Bhupal Nobles’ University, Udaipur 313002, Rajasthan, India;5. Noncommunicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran |
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| 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. |
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| Keywords: | Nylon Nanofiber Electrospinning Coronavirus Gene expression programming Genetic Algorithms |
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