Development and Testing of Copper Filters for Efficient Application in Half-Face Masks
Source abstract
Abstract
SARS-CoV-2 is the causative agent of severe acute respiratory diseases. Its main transmission pathway is through large and small respiratory droplets, as well as a direct and indirect contact. In this paper, we present the results of the development and research of copper filters produced by powder technology. Four types of copper powders were tested. Technological parameters, a microstructure, an energy dispersive X-ray (EDX) analysis, and fractography of copper (Cu) filters are reported. The pressure losses in the P-Cu-AW315 filter showed a very favorable value for using the filter in half-face masks that meet the requirements of European norms (EN). An X-ray tomography measurement was carried out at the I12-JEEP beamline. A relative volume of grains and pores was estimated (on the basis of the segmentation results) to be approximately 50% to 50% of the investigated filter volume.
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Research context
OpenAlex topics: Infection Control and Ventilation · Aerosol Filtration and Electrostatic Precipitation · Lattice Boltzmann Simulation Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Slovak Academy of Sciences, The Institute of Materials Research of SAV, Watsonova 47, 04001 Košice, Slovakia
Faculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia
Diamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, Oxfordshire OX110DE, UK
Funding
APVV
References (25)
Show source-provided references
1. Nanocomposites in context10.1016/j.compscitech.2004.11.003 ↗
2. Spinning continuous fibers for nanotechnology10.1126/science.1099074 ↗
3. Electrospinning and electrospun nanofibers: Methods, materials, and applications10.1021/acs.chemrev.8b00593 ↗
4. Chochol, J., Džubera, A., Illéš, R., Chocholová, A., and Zemková, E. (2021). Vertebral pain in acute COVID-19—Cases report. Appl. Sci., 11.10.3390/app11156926 ↗
5. Džubera, A., Chochol, J., Illéš, R., Chocholová, A., and Zemková, E. (2021). Vertebral Algic Syndrome Treatment in Long COVID—Cases Reports. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph182111457 ↗
6. Production of porous copper with high surface area for efficient water purification10.1016/j.cirpj.2016.01.001 ↗
7. Human Coronavirus 229E Remains Infectious on Common Touch Surface Materials
8. Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-110.1056/NEJMc2004973 ↗
9. Burton, M. (Reuters, 2020). Copper takes aim at COVID-19 with virus-killer coatings, Reuters.
10. The Effects of Manufacturing Parameters on Geometrical and Mechanical Properties of Copper Foams Produced by Space Holder Technique10.1016/j.matdes.2013.07.047 ↗
11. Sharma, A., Pathak, D., Patil, D.S., Dhiman, N., Bhullar, V., and Mahajan, A. (2021). Electrospun PVP/TiO2 Nanofibers for Filtration and Possible Protection from Various Viruses like COVID-19. Technologies, 9.10.3390/technologies9040089 ↗
12. Multistructured electrospun nanofibers for Air Filtration: A review10.1021/acsami.1c06520 ↗
13. Preparation of Copper foam with 3- Dimensionally Interconnected Spherical Pore Network by Electrodeposition10.1016/j.elecom.2008.05.035 ↗
14. Mechanical Behavior Improvement of Open-Pore Copper Foams Synthesized Through Space Holder Technique10.1016/j.matdes.2013.01.077 ↗
15. Evolution of the Elastic Moduli at the Early Stage of Copper Sintering10.1016/S0167-577X(03)00334-3 ↗
16. Atomization of specialty alloy powders
17. Lemoisson, F., and Froyen, L. (2005). Understending and improving powder metallurgy processes. Fundamentals of Metallurgy, Katholieke Universiteit.10.1533/9781845690946.2.471 ↗
18. Brestovič, T., Lázár, M., Jasminská, N., Živčák, J., Hudák, R., Tóth, L., and Dobáková, R. (2021). The Determination of the Inward Leakage through the Skin–Facepiece Interface of the Protective Half-Mask. Appl. Sci., 11.10.3390/app11178042 ↗
19. I12: The Joint Engineering, Environment and Processing (JEEP) beamline at Diamond Light Source10.1107/S1600577515003513 ↗
20. Wadeson, N., and Basham, M. (2016). Savu: A Python-based, MPI Framework for Simultaneous Processing of Multiple, N-dimensional, Large Tomography Datasets. arXiv.
21. A high-throughput system for high-quality tomographic reconstruction of large datasets at Diamond Light Source10.1098/rsta.2014.0398 ↗
22. Superior techniques for eliminating ring artifacts in X-ray micro-tomography10.1364/OE.26.028396 ↗
23. Reliable method for calculating the center of rotation in parallel-beam tomography10.1364/OE.22.019078 ↗
24. Fast and flexible X-ray tomography using the ASTRA toolbox10.1364/OE.24.025129 ↗
25. Thermo Fisher Scientific (2007). Thermo ScienticTM AvizoTM Software 9, User’s Guide, Thermo Fisher Scientific.