Application of Biomass-Based Triboelectrification for Particulate Matter Removal.

Polymers (Basel)

State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.

Published: October 2024

AI Article Synopsis

  • Electrostatic fields are essential for efficiently filtering airborne pollutants, but they lose effectiveness over time, especially in humid conditions.
  • The study introduces a self-charging air filter (SAF) integrated into a commercial mask (SAFM) that uses a triboelectric nanogenerator (TENG) to continuously recharge static charges without needing an external power source.
  • The SAFM demonstrates impressive filtration capabilities, achieving up to 95.7% efficiency for particles as small as 0.3 μm, showcasing the potential of TENG technology in innovative facemask design.

Article Abstract

Electrostatic fields are crucial for achieving the highly efficient filtration of airborne pollutants. However, the dissipation of static charges over time, especially under humid conditions, limits their practical application. In this study, we present a self-charging air filter (SAF) powered by a triboelectric nanogenerator (TENG). This SAF is integrated into a commercial mask, termed SAFM, which can effectively capture and degrade airborne pollutants without requiring an external power source. By leveraging the triboelectric effect during breathing, the TENG within the SAFM continuously replenishes static charges, maintaining the triboelectric field. The system employs a cellulose aerogel/TiCT composite as the electron donor and an esterified cellulose-based electrospun nanofiber as the electron acceptor. Remarkably, the triboelectric field significantly enhances filtration performance, with the SAF achieving up to 95.7% filtration efficiency for particulate matter as small as 0.3 μm. This work underscores the potential of TENG-powered triboelectric fields in the development of multifunctional, human-machine interactive facemasks.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11510852PMC
http://dx.doi.org/10.3390/polym16202933DOI Listing

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