Deakin University
Browse

Characterization and evaluate the efficiency of different filter media in removing nanoparticles

Version 2 2024-06-13, 13:26
Version 1 2019-12-02, 15:17
journal contribution
posted on 2017-03-24, 00:00 authored by A C C Bortolassi, V G Guerra, M L Aguiar
© 2016 Elsevier B.V. Nowadays, removing nanoparticles in a filtration using fibrous filter media become a technique very useful. There are a lot of applications of these filters which can be found in air conditioner and clean rooms. Filter media used in this work have very similar characteristics and among them can be cited heterogeneous distribution and small diameter fibers. There are little studies about the performance of fibrous filter media in removing nanoparticles. So, the aim of this work was evaluate the fiber diameter, permeability and efficiency of HEPA (High Efficiency Particulate Air Filter) filters with glass and quartz fibers in 5 g/L sodium chloride solution by the technique of electric mobility. It was possible to simulate a contamination of nanoparticles through the experimental system in a stream of ultrapure air using surface speed 0.05 m/s and flow rate 1.59 L/min, which was done the particle count before and after passing through the filter media. HEPA_2 filter showed the lower permeability and the HEPA_1 filter the higher. In general, both filter media were very efficient in removing nanoparticles during the filtration because of the fibers distribution is heterogeneous. But HEPA_2 filter showed lower penetration of particles in the range of 7–289 nm comparing to the other filters.

History

Journal

Separation and purification technology

Volume

175

Pagination

79 - 86

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

1383-5866

eISSN

1873-3794

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC