The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Transparent air filter for high-efficiency PM2.5 capture
Open accessAbstract
Particulate matter (PM) pollution has raised serious concerns for public health. Although outdoor individual protection could be achieved by facial masks, indoor air usually relies on expensive and energy-intensive air-filtering devices. Here, we introduce a transparent air filter for indoor air protection through windows that uses natural passive ventilation to effectively protect the indoor air quality. By controlling the surface chemistry to enable strong PM adhesion and also the microstructure of the air filters to increase the capture possibilities, we achieve transparent, high air flow and highly effective air filters of ~90% transparency with >95.00% removal of PM2.5 under extreme hazardous air-quality conditions (PM2.5 mass concentration >250 μg m−3). A field test in Beijing shows that the polyacrylonitrile transparent air filter has the best PM2.5 removal efficiency of 98.69% at high transmittance of ~77% during haze occurrence. Particulate matter pollution is a public health concern in industrialized and urban areas. Here, the authors control the surface chemistry and microstructure of filtration materials to fabricate effective and transparent air filters for the capture of PM2.5pollutants.
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Anenberg, S. C., Horowitz, L. W., Tong, D. Q., & West, J. J. (2010) · Environmental Health Perspectives · doi:10.1289/ehp.0901220 · Cited by 747
Wu, S., Deng, F., Wei, H., Huang, J., Wang, X., Hao, Y., Zheng, C., Qin, Y., Lv, H., Shima, M., et al. (2014) · Environmental Science & Technology · doi:10.1021/es404778w · Cited by 166
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Zhang, R., Liu, C., Hsu, P.-C., Zhang, C., Liu, N., Zhang, J., Lee, H. R., Lu, Y., Qiu, Y., Chu, S., et al. (2016) · Nano Letters · doi:10.1021/acs.nanolett.6b00771 · Cited by 543
Self-citationSustainable Personal Protective Clothing for Healthcare Applications: A Review
Karim, N., Afroj, S., Lloyd, K., Oaten, L. C., Andreeva, D. V., Carr, C., Farmery, A. D., Kim, I.-D., & Novoselov, K. S. (2020) · ACS Nano · doi:10.1021/acsnano.0c05537 · Cited by 438
Review on recent progress in observations, source identifications and countermeasures of PM2.5
Liang, C.-S., Duan, F.-K., He, K.-B., & Ma, Y.-L. (2016) · Environment International · doi:10.1016/j.envint.2015.10.016 · Cited by 375
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Wang, T., Guo, Y., Wan, P., Zhang, H., Chen, X., & Sun, X. (2016) · Small · doi:10.1002/smll.201601049 · Cited by 309
Metadata
- Authors
- Liu, C., Hsu, P.-C., Lee, H.-W., Ye, M., Zheng, G., Liu, N., Li, W., & Cui, Y.
- Venue
- Nature Communications
- Published
- 2015-02-16
- Volume
- 6
- Issue
- 1
- Pages
- 6205-6205
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2049661780
- Cited by
- 993
- References
- 2
- FWCI
- 32.56
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
