Ag Nanoparticles-Decorated PVDF Nanofiber/Net Membranes with Enhanced Filtration and Antibacterial Efficiency for Personal Protective Equipment
Source abstract
Abstract
Medical protective masks with both high antibacterial activity and filtration efficiency have gained wide interest due to sporadic respiratory disease outbreaks. Previous studies have focused on improving a single function (antibacterial activity or filtration) of the mask performance. Herein, we developed silver nanoparticles-decorated PVDF membranes (AgNPs/PVDF) with both high antibacterial activity and filtration efficiency. Our results show that AgNPs/PVDF membranes have antibacterial efficiency of 99.98% and 99.86% against E. coli and S. aureus, respectively. The bacterial filtration efficiency is higher than 95%. PM 0.26 filtration efficiency can be maintained above 95% after continuous filtration for 144 min. Adding AgNPs also promotes distinct hierarchical structure formation, which could improveme the filtration efficiency. This study provides a new methodology to fabricate antibacterial membranes doped with metal nanoparticles with promising applications in personal protective equipment development.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Membrane Separation Technologies · Electrospun Nanofibers in Biomedical Applications · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai 201620, China
College of Light Industry and Textile, Inner Mongolia University of Technology, Hohhot 010080, China
Funding
Changjiang Scholar Program, Ministry of Education · Shanghai Municipal Education Commission · Science and Technology Major Project of Inner Mongolia · Science and Technology Commission of Shanghai Municipality · Donghua University · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
References (55)
Show source-provided references
1. 10.1021/acsnano.0c0553710.1021/acsnano.0c05537 ↗
2. 10.1039/D0RA10009A10.1039/D0RA10009A ↗
3. 10.1021/acsapm.0c0129410.1021/acsapm.0c01294 ↗
4. 10.1177/1528083721101948810.1177/15280837211019488 ↗
5. 10.1021/acsami.1c1222710.1021/acsami.1c12227 ↗
6. 10.1016/j.matlet.2008.03.04910.1016/j.matlet.2008.03.049 ↗
7. 10.1177/004051752199718710.1177/0040517521997187 ↗
8. 10.1016/j.jcis.2020.05.08110.1016/j.jcis.2020.05.081 ↗
9. 10.1088/0957-4484/17/15/01110.1088/0957-4484/17/15/011 ↗
10. 10.1021/acsami.9b1016110.1021/acsami.9b10161 ↗
11. 10.1016/j.msec.2016.07.01510.1016/j.msec.2016.07.015 ↗
12. 10.1039/C7TA06473J10.1039/C7TA06473J ↗
13. 10.1007/s12221-013-1248-310.1007/s12221-013-1248-3 ↗
14. 10.3390/ijms2303116210.3390/ijms23031162 ↗
15. 10.1007/s11051-009-9665-310.1007/s11051-009-9665-3 ↗
16. 10.1016/j.eurpolymj.2011.04.00210.1016/j.eurpolymj.2011.04.002 ↗
17. 10.1002/app.3507610.1002/app.35076 ↗
18. 10.1016/j.apsusc.2015.02.17410.1016/j.apsusc.2015.02.174 ↗
19. 10.1016/j.compscitech.2015.05.01410.1016/j.compscitech.2015.05.014 ↗
20. 10.1002/smll.20170375410.1002/smll.201703754 ↗
21. 10.1080/0950083090275865110.1080/09500830902758651 ↗
22. 10.1016/j.jpcs.2013.05.02110.1016/j.jpcs.2013.05.021 ↗
23. 10.1016/j.coco.2020.10041110.1016/j.coco.2020.100411 ↗
24. 10.1002/aenm.20140072310.1002/aenm.201400723 ↗
25. 10.1016/j.sna.2013.01.00710.1016/j.sna.2013.01.007 ↗
26. 10.1016/S0142-9418(03)00003-510.1016/S0142-9418(03)00003-5 ↗
27. 10.1016/j.polymertesting.2004.04.00110.1016/j.polymertesting.2004.04.001 ↗
28. 10.1016/j.memsci.2011.03.01410.1016/j.memsci.2011.03.014 ↗
29. 10.1016/j.memsci.2014.03.05510.1016/j.memsci.2014.03.055 ↗
30. 10.1021/acsanm.2c0477610.1021/acsanm.2c04776 ↗
31. 10.1021/acsami.1c1784710.1021/acsami.1c17847 ↗
32. 10.1016/j.matlet.2018.10.10710.1016/j.matlet.2018.10.107 ↗
33. 10.1021/acsanm.2c0153810.1021/acsanm.2c01538 ↗
34. 10.1002/adma.20200236110.1002/adma.202002361 ↗
35. 10.1016/j.jcis.2015.07.01910.1016/j.jcis.2015.07.019 ↗
36. 10.1002/smll.20160315110.1002/smll.201603151 ↗
37. 10.1038/s41598-019-56281-610.1038/s41598-019-56281-6 ↗
38. 10.1021/acsomega.8b0361510.1021/acsomega.8b03615 ↗
39. 10.1016/j.colsurfa.2011.12.01110.1016/j.colsurfa.2011.12.011 ↗
40. 10.1016/j.synthmet.2007.05.01110.1016/j.synthmet.2007.05.011 ↗
41. 10.1016/j.matlet.2012.06.03910.1016/j.matlet.2012.06.039 ↗
42. 10.3390/nano612023010.3390/nano6120230 ↗
43. 10.1039/c1nr10405e10.1039/c1nr10405e ↗
44. 10.1016/j.mssp.2014.03.01010.1016/j.mssp.2014.03.010 ↗
45. 10.1016/j.jallcom.2010.08.11410.1016/j.jallcom.2010.08.114 ↗
46. 10.1007/s00396-009-2147-410.1007/s00396-009-2147-4 ↗
47. 10.1021/nl301934w10.1021/nl301934w ↗
48. 10.5714/CL.2017.23.01710.5714/CL.2017.23.017 ↗
49. 10.1128/AEM.02218-0610.1128/AEM.02218-06 ↗
50. 10.1016/j.seppur.2016.12.02710.1016/j.seppur.2016.12.027 ↗
51. 10.1002/1097-4636(20001215)52:4<662:AID-JBM10>3.0.CO;2-310.1002/1097-4636(20001215)52:4<662:AID-JBM10>3.0.CO;2-3 ↗
52. 10.1016/j.seppur.2021.11925810.1016/j.seppur.2021.119258 ↗
53. 10.1016/j.jhazmat.2020.12347910.1016/j.jhazmat.2020.123479 ↗
54. 10.1016/j.seppur.2021.11898010.1016/j.seppur.2021.118980 ↗
55. 10.1016/j.measurement.2021.11048110.1016/j.measurement.2021.110481 ↗