Effect of Different Symmetries of Electrospun Poly(lactic acid) Nanofibers on Facemask Filtration
Source abstract
Abstract
The Covid-19 pandemic has prompted the use of disposable facemasks, which has raised serious environmental concerns. Thus, we developed ultrafine electrospun masks comprising eco-friendly and biodegradable polymer polylactic acid, spun with different degrees of fiber alignments, ranging from random to less, medium, and highly aligned nanofibers. The filtration performance was assessed by penetrating sodium chloride (NaCl) aerosol particles (mean diameter 0.25 μm). The LA-NF samples exhibited a homogeneous network of fibers and thus even pore size distribution. The homogeneity of flow is generally accompanied by a decreased value of pressure drop. Such flow through the gaps (pores) created between the fibers follows Bernoulli’s principle, which revealed an extremely decreased value of pressure drop of 96 Pa and yielded a high filtration efficiency of 99.998% and a Q f of 0.17 Pa –1 . The presence of static charges on membranes varies according to the geometry of the surface, which provides a strong electrostatic force between fine particulates and the charged surface. Moreover, a comparative study of static chargeability of the less aligned sample and conventional polypropylene filter was conducted, which revealed mean potential values of 67.1 and 60.8 V, respectively. The outcome implies the superior characteristics of the former, which can be attributed to the surface geometry of the structured membrane.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrospun Nanofibers in Biomedical Applications · Advanced Sensor and Energy Harvesting Materials · Aerosol Filtration and Electrostatic Precipitation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Pakistan Embassy College, Sanlitun, Chaoyang District, Beijing 100600, China
Funding
National Natural Science Foundation of China
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