Issue 4, 2021

Self-decontaminating nanofibrous filters for efficient particulate matter removal and airborne bacteria inactivation

Abstract

With the increased bacteria-induced hospital-acquired infections (HAIs) caused by bio-contaminated surfaces, the requirement for a safer and more efficient antibacterial strategy in designing personal protective equipment (PPE) such as N95 respirators is rising with urgency. Herein, a self-decontaminating nanofibrous filter with a high particulate matter (PM) filtration efficiency was designed and fabricated via a facile electrospinning method. The fillers implemented in the electrospun nanofibers were constructed by grafting a layer of antibacterial polymeric quaternary ammonium compound (QAC), that is, poly[2-(dimethyl decyl ammonium) ethyl methacrylate] (PQDMAEMA), onto the surface of metal–organic framework (MOF, UiO-66-NH2 as a model) to form the active composite UiO-PQDMAEMA. The UiO-PQDMAEMA filter demonstrates an excellent PM filtration efficiency (>95%) at the most penetrating particle size (MPPS) of 80 nm, which is comparable to that of the commercial N95 respirators. Besides, the UiO-PQDMAEMA filter is capable of efficiently killing both Gram-positive (S. epidermidis) and Gram-negative (E. coli) airborne bacteria. The strong electrostatic interactions between the anionic cell wall of the bacteria and positively charged nitrogen of UiO-PQDMAEMA are the main reasons for severe cell membrane disruption, which leads to the death of bacteria. The present work provides a new avenue for combating air contamination by using the QAC-modified MOF-based active filters.

Graphical abstract: Self-decontaminating nanofibrous filters for efficient particulate matter removal and airborne bacteria inactivation

Supplementary files

Article information

Article type
Paper
Submitted
10 Dec 2020
Accepted
22 Mar 2021
First published
23 Mar 2021
This article is Open Access
Creative Commons BY-NC license

Environ. Sci.: Nano, 2021,8, 1081-1095

Self-decontaminating nanofibrous filters for efficient particulate matter removal and airborne bacteria inactivation

Z. Zhu, Y. Zhang, L. Bao, J. Chen, S. Duan, S. Chen, P. Xu and W. Wang, Environ. Sci.: Nano, 2021, 8, 1081 DOI: 10.1039/D0EN01230K

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