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Enhancing greywater treatment via MHz-Order surface acoustic waves

journal contribution
posted on 2024-11-02, 11:30 authored by Jing Chan, Phaik Poh, Mohd-Zulhilmi Ismadi, Leslie YeoLeslie Yeo, Ming Tan
There is a pressing need for efficient biological treatment systems for the removal of organic compounds in greywater given the rapid increase in household wastewater produced as a consequence of rapid urbanisation. Moreover, proper treatment of greywater allows its reuse that can significantly reduce the demand for freshwater supplies. Herein, we demonstrate the possibility of enhancing the removal efficiency of solid contaminants from greywater using MHz-order surface acoustic waves (SAWs). A key distinction of the use of these high frequency surface acoustic waves, compared to previous work on its lower frequency (kHz order) bulk ultrasound counterpart for wastewater treatment, is the absence of cavitation, which can inflict considerable damage on bacteria, thus limiting the intensity and duration, and hence the efficiency enhancement, associated with the acoustic exposure. In particular, we show that up to fivefold improvement in the removal efficiency can be obtained, primarily due to the ability of the acoustic pressure field in homogenizing and reducing the size of bacterial clusters in the sample, therefore providing a larger surface area that promotes greater bacteria digestion. Alternatively, the SAW exposure allows the reduction in the treatment duration to achieve a given level of removal efficiency, thus facilitating higher treatment rates and hence processing throughput. Given the low-cost of the miniature chipscale platform, these promising results highlight its possibility for portable greywater treatment for domestic use or for large-scale industrial wastewater processing through massive parallelization.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.watres.2019.115187
  2. 2.
    ISSN - Is published in 00431354

Journal

Water Research

Volume

169

Number

115187

Start page

1

End page

10

Total pages

10

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2019 Elsevier Ltd

Former Identifier

2006095704

Esploro creation date

2020-06-22

Fedora creation date

2019-12-18

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