High-Performance PM0.3 Air Filters Using Self-Polarized Electret Nanofiber/Nets
High-Performance PM0.3 Air Filters Using Self-Polarized Electret Nanofiber/Nets
复制标题
使用自极化驻极体纳米纤维/网的高性能 PM0.3 空气过滤器
DOI：
10.1002/adfm.201909554
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发表时间：
2020-02-14
影响因子：
19
通讯作者：
Ding, Bin
中科院分区：
文献类型：
--
作者：
Liu, Hui;Zhang, Shichao;Ding, Bin
在全球范围内，空气中的颗粒物污染被认为是一个重要的死亡风险因素。大多数现有的空气过滤器都面临着有效去除PM0.3的极端挑战，PM0.3的最大穿透粒径（MPPS）接近0.3 μ m，但特别有害。本文报道了一种创新的原位驻极体静电纺丝/网状技术，该技术可以同时控制溶液相分离和晶体相变，从而开发出具有二维网络和优异表面附着力的自极化聚偏氟乙烯纳米纤维/网状膜。通过结合二维纳米的真纳米直径（约21 nm）、小孔径（约0.26 μ m）和高驻极体表面（6.8 kV电位），实现了MPPS PM0.3的筛分和粘附协同效应。这种双重捕获特性使PM0.3的高效捕获（约99.998%），同时保持低空气阻力（约0.1%大气压）。此外，纳米纤维/网过滤器具有超疏水性，理想的透明度（91%）和长期稳定性的综合性能。这种有吸引力的纳米材料的合成为开发高性能过滤/分离材料提供了一个有希望的尝试，用于许多应用。
Particulate matter (PM) pollution in air is thought to be an important mortality risk factor globally. Most existing air filters face the extreme challenge of effectively removing PM0.3, which has the most penetration particle size (MPPS) of approximate to 0.3 mu m yet is particularly harmful. Here, an innovative in situ electret electrospinning/netting technique that can manipulate both solution phase separation and crystal phase transition is reported to develop self-polarized polyvinylidene fluoride nanofiber/net membranes with 2D networks and superior surface adhesion. By combining the true nanoscale diameter (approximate to 21 nm), small pore size (approximate to 0.26 mu m), and highly electret surface (6.8 kV potential) of the 2D nanonets, the synergistic effect of sieving and adhesion for MPPS PM0.3 is achieved. Such double capture characteristic enables the high-efficiency (approximate to 99.998%) capture of PM0.3 while maintaining low air resistance (approximate to 0.1% atmosphere pressure). Moreover, the nanofiber/net filters show integrated properties of superhydrophobicity, desirable transparency (91%), and long-term stability. The synthesis of such attractive nanomaterials presents a promising attempt toward the development of high-performance filtration/separation materials for numerous applications.