Surface-Modified Polymer Nanofiber Membrane for High-Efficiency Microdust Capturing

Han Jung Kim, Seon Joo Park, Chul Soon Park, Thanh Hai Le, Sang Hun Lee, Tai Hwan Ha, Hyoung il Kim, Jinyeong Kim, Chang Soo Lee, Hyeonseok Yoon, Oh Seok Kwon

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)


Particulate matter (PM) pollution is serious human health issue. Various filter technologies have been developed to improve the air filtration efficiency. Recently, nanofibrous membrane filters have received much attention due to its outstanding transparency and high efficiency for PM ≤ 2.5 μm (PM2.5) capture/removal compared to conventional micro-structured filters. Although these filters provide high-efficiency PM2.5 capture, obtaining strong PM adhesion via surface engineering remains a challenge. In this study, we demonstrate a high efficiency PM2.5 capture air-filter by electrospun polyacrylonitrile nanofibers (EPNFs). The surface of the EPNFs was modified by oxygen plasma treatment for generating functional groups such as -CONH2, -COOH and -COOR. The EPNFs were utilized as air filter in hand-made PM removal system which is consisted of DC power supply, PM source, PM sensor and PM removal test chamber. The test result showed high air flow and effective air filtration (PM2.5 removal efficiency: 94.02 %, pressure drop: 18 Pa, Time to reach the PM level recommended by the World Health Organization (TWHO PM2.5): 15 min, quality factor: 0.1564 Pa−1) compared to commercial filters. The intermolecular interaction between the plasma-treated EPNFs (PEPNFs) and PMs was investigated by density functional theory (DFT) calculations. The PEPNF filter showed high long-term reproducibility in a cycle test with a high PM concentration (over 2,000 μg m−3). The filter was applied as a car interior air purifier using a cigar jack as a power supply, ca. 16 min was required to reach the PM level recommended by the World Health Organization (< 25 μg m−3).

Original languageEnglish
Pages (from-to)204-213
Number of pages10
JournalChemical Engineering Journal
Publication statusPublished - 2018 May 1

Bibliographical note

Funding Information:
This work was supported by the Brain Research Program and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) (NRF-2016M3C7A1905384; NRF-2015R1A2A2A01007166); a grant from BioNanoHealth-Guard Research Center and the Center for Integrated Smart Sensors (CISS) funded by the MSIT (H-GUARD_2014M3A 6B2060489; 2011-0031870) and the KRIBB Initiative Research Program.

Publisher Copyright:
© 2018

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering


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