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.

目前，控制 SARS-CoV-2 大流行的唯一广泛使用的工具是非药物干预 (NPI)。冠状病毒气溶胶的直径约为 0.3–2 µm（质量为 0.9 m）。本研究使用基因表达编程 (GEP) 和遗传算法 (GA) 等人工智能，通过静电纺丝来预测和优化 Nylon-6,6 纳米纤维的直径，以防止冠状病毒。建议使用受控的实验条件，例如尼龙 6,6 的浓度 (16% wt/v)、施加的电压 (26 kV)、工作距离 (18 cm) 和注入速率 (0.2 mL/h) 导致尼龙 6,6 纳米纤维的直径约为 55.8 nm。冠状病毒口罩可以使用获得的直径和病毒颗粒与纳米纤维之间的静电相互作用作为活性层。