journal article·2020-12-16

Reusable Self-Sterilization Masks Based on Electrothermal Graphene Filters

Xiaoli Shan, Han Zhang, Cihui Liu, Liyan Yu, Yunsong Di, Xiaowei Zhang, Lifeng Dong, Zhixing Gan

ACS Applied Materials & Interfaces· Volume 12· Issue 50
Publisher page

Abstract

Surgical mask is recommended by the World Health Organization for personal protection against disease transmission. However, most of the surgical masks on the market are disposable that cannot be self-sterilized for reuse. Thus, when confronting the global public health crisis, a severe shortage of mask resource is inevitable. In this paper, a novel low-cost electrothermal mask with excellent self-sterilization performance and portability is reported to overcome this shortage. First, a flexible, ventilated, and conductive cloth tape is patterned and adhered to the surface of a filter layer made of melt-blown nonwoven fabrics (MNF), which functions as interdigital electrodes. Then, a graphene layer with premier electric and thermal conductivity is coated onto the MNF. Operating under a low voltage of 3 V, the graphene-modified MNF (mod-MNF) can quickly generate large amounts of heat to achieve a high temperature above 80 °C, which can kill the majority of known viruses attached to the filter layer and the mask surface. Finally, the optimized graphene-modified masks based on the mod-MNF filter retain a relatively high particulate matter (PM) removal efficiency and a low-pressure drop. Moreover, the electrothermal masks can maintain almost the same PM removal efficiency over 10 times of electrifying, suggesting its outstanding reusability.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Infection Control and Ventilation · Aerosol Filtration and Electrostatic Precipitation · Nanomaterials and Printing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, China

Department of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, P. R. China

College of Materials Science and Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China

Funding

National Natural Science Foundation of China · Youth Science and Technology Talent Promotion Project of Jiangsu Association for Science and Technology · Taishan Scholars Program of Shandong Province

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