journal article·2024-02-28

Nature-Inspired Regenerative Fine-Dust-Catching Coatings to Improve Air Quality

Thomas Zimmermann, Moritz Deues, Tobias Garbe, Peer Löbmann, Karl Mandel, Susanne Wintzheimer

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Abstract

Increased particulate matter (PM) concentrations in our ambient air are the cause of various life-threatening diseases and consequently need to be reduced to nonhazardous levels. The natural PM removal capabilities of leaves inspired the development of a low-cost coating technology that exploits natural weather phenomena for its PM catching and removal processes. The herein presented coating is based on microparticle-filled silicone with optimized chemical and physical surface properties. Its surface roughness was tuned using differently sized spray-dried particles, and its surface contact angle was adjusted through silicone tensides, polar ether groups incorporated in the silicon backbone, and the used amount of spray-dried particles. In such a way, optimized silicone coatings showed in laboratory experiments improved catching abilities (>300% relative to glass surfaces), a full retention of adsorbed PM during wind events, and the formation of large PM aggregates. Upon (simulated) rain events, these coatings were regenerated, and the content of harmful PM of various sizes dispersed in water was reduced between ∼73 and 100%. Furthermore, an outdoor test over 100 days showed the functioning of the coating under real-world conditions. These regenerative coatings are readily applicable on diverse surfaces and do not require any further technical infrastructure. Thus, they present an extension of the toolbox for PM reduction technologies.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Air Quality and Health Impacts · Vehicle emissions and performance · Aerosol Filtration and Electrostatic Precipitation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Pharmacy, Inorganic Chemistry, Friedrich-Alexander-University Erlangen-Nürnberg, Egerlandstrasse 1, Erlangen D91058, Germany

Fraunhofer-Institute for Silicate Research ISC, Neunerplatz 2, Würzburg D97082, Germany

Funding

Volkswagen Foundation

References (39)

Show source-provided references
1. World Health Organization. World Health Statistics 2023: Monitoring Health for the SDGs, Sustainable Development Goals, 2023.
2. Global Health Observatory. Ambient Air Pollution Data [Online Database]. https://www.who.int/data/gho/data/themes/air-pollution/ambient-air-pollution (accessed Nov 03, 2023).
3. 10.1016/j.tins.2009.05.00910.1016/j.tins.2009.05.009 ↗
4. 10.1016/j.cpcardiol.2015.01.00310.1016/j.cpcardiol.2015.01.003 ↗
5. 10.1016/j.envint.2014.10.00510.1016/j.envint.2014.10.005 ↗
6. European Environment Agency. Europe’s Air Quality Status 2023. https://www.eea.europa.eu/ds_resolveuid/de4a1ea81f2442a690989e036d83d189 (accessed Oct 15, 2023).
7. 10.1021/acs.energyfuels.6b0291910.1021/acs.energyfuels.6b02919 ↗
8. 10.1016/j.atmosenv.2013.03.04010.1016/j.atmosenv.2013.03.040 ↗
9. 10.1016/j.scitotenv.2008.06.00710.1016/j.scitotenv.2008.06.007 ↗
10. 10.1038/ngeo23610.1038/ngeo236 ↗
11. 10.1007/s10311-017-0611-910.1007/s10311-017-0611-9 ↗
12. 10.5194/nhess-21-2867-202110.5194/nhess-21-2867-2021 ↗
13. 10.3390/f707015010.3390/f7070150 ↗
14. 10.15585/mmwr.ss6613a110.15585/mmwr.ss6613a1 ↗
15. 10.1016/j.apr.2021.10105910.1016/j.apr.2021.101059 ↗
16. 10.1016/j.porgcoat.2019.02.01510.1016/j.porgcoat.2019.02.015 ↗
17. 10.1016/j.jenvman.2011.08.02510.1016/j.jenvman.2011.08.025 ↗
18. 10.1038/ncomms720510.1038/ncomms7205 ↗
19. 10.1021/es404502x10.1021/es404502x ↗
20. 10.1016/j.indcrop.2023.11633110.1016/j.indcrop.2023.116331 ↗
21. 10.3379/jmsjmag.15.S2_71510.3379/jmsjmag.15.S2_715 ↗
22. 10.1146/annurev.ea.13.050185.00105110.1146/annurev.ea.13.050185.001051 ↗
23. 10.1080/02786826.2010.50424610.1080/02786826.2010.504246 ↗
24. 10.1007/s11869-021-01032-810.1007/s11869-021-01032-8 ↗
25. 10.1021/es501972410.1021/es5019724 ↗
26. 10.1016/j.atmosenv.2013.04.01310.1016/j.atmosenv.2013.04.013 ↗
27. 10.1016/j.envpol.2019.06.11910.1016/j.envpol.2019.06.119 ↗
28. 10.1016/j.envpol.2019.11361110.1016/j.envpol.2019.113611 ↗
29. 10.1016/j.scitotenv.2018.10.18210.1016/j.scitotenv.2018.10.182 ↗
30. 10.3390/f911068110.3390/f9110681 ↗
31. 10.1021/acsami.0c1347710.1021/acsami.0c13477 ↗
32. 10.1016/j.solener.2023.11224610.1016/j.solener.2023.112246 ↗
33. Deutscher Wetterdienst. Klimadaten Deutschland - Station Würzburg, Zeitliche Auflösung Tageswerte. https://www.dwd.de/DE/leistungen/klimadatendeutschland/klimadatendeutschland.html?nn=560054 (accessed August 02, 2023).
34. Deutscher Wetterdienst. Climate environment, Observations Germany, Precipitation, 10 minute. https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/10_minutes/precipitation/recent/ (accessed August 02, 2023).
35. Deutscher Wetterdienst. Climate environment, Observations Germany, Wind, 10 minute. https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/10_minutes/wind/recent/ (accessed August 02, 2023).
36. 10.1016/0166-6622(90)80203-G10.1016/0166-6622(90)80203-G ↗
37. 10.1109/57.47590310.1109/57.475903 ↗
38. 10.1016/S0032-5910(97)03399-810.1016/S0032-5910(97)03399-8 ↗
39. 10.1016/S0032-5910(99)00267-310.1016/S0032-5910(99)00267-3 ↗