4.7 Article

Efficient and reusable polyamide-56 nanofiber/nets membrane with bimodal structures for air filtration

Journal

JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 457, Issue -, Pages 203-211

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2015.07.019

Keywords

Nanofiber/nets; Cavity structure; High efficiency; Long service life; Air filtration

Funding

  1. Key Technologies R&D Program of China [2015BAE01B02]
  2. National Natural Science Foundation of China [51322304, 51173022]
  3. National Basic Research Program of China (973 Program) [2011CB606103, 2012CB525005]
  4. 'DHU Distinguished Young Professor Program'

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Nanofibrous media that both possess high airborne particle interception efficiency and robust air permeability would have broad technological implications for areas ranging from individual protection and industrial security to environmental governance; however, creating such filtration media has proved extremely challenging. Here we report a strategy to construct the bio-based polyamide-56 nanofiber/nets (PA-56 NFN) membranes with bimodal structures for effective air filtration via one-step electrospinning/netting. The PA-56 membranes are composed of completely covered two-dimensional (2D) ultrathin (similar to 20 nm) nanonets which are optimized by facilely regulating the solution concentration, and the bonded scaffold fibers constructed cavity structures which are synchronously created by using the CH3COOH inspiration. With integrated properties of small aperture, high porosity, and bonded scaffold, the resulting PA-56 NFN membranes exhibit high filtration efficiency of 99.995%, low pressure drop of 111 Pa, combined with large dust holding capacity of 49 g/m(2) and dust-cleaning regeneration ability, for filtrating ultrafine airborne particles in the most safe manner involving sieving principle and surface filtration. The successful synthesis of PA-56 NFN medium would not only make it a promising candidate for air filtration, but also provide new insights into the design and development of nanonet-based bimodal structures for various applications. (C) 2015 Elsevier Inc. All rights reserved.

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