Literature DB >> 19786347

The formation and characterisation of an asymmetric nanofiltration membrane for ammonia-nitrogen removal: effect of shear rate.

Nora'aini Ali1, N Syazana A Halim, A Jusoh, Azizah Endut.   

Abstract

The focus of this research is to study the potential of nanofiltration membrane technology in removing ammonia-nitrogen from the aquaculture system. One of the major fabrication parameters that directly affect the separation performance is shear rate or casting rate during membrane fabrication. In this study, asymmetric polyethersulfone (PES) nanofiltration membranes were prepared at five different shear rates within the range of 67-400 s(-1). Membrane productivity and separation performance were assessed via pure water, salt and ammonia-nitrogen permeation experiments, and their structural properties were determined by employing the combination of the irreversible thermodynamic (IT) model, solution diffusion model, steric hindrance pore (SHP) model and Teorell-Meyers (TMS) model. The study reveals that the alteration of shear rate enormously affects the membrane morphology and structural parameters, hence subsequently significantly influencing the membrane performance. It was found that, membrane produced at the shear rate 200 s(-1) or equivalent to 10s of casting speed during membrane fabrications managed to remove about 68% of ammonia-nitrogen, in which its separation performance is the most favourable by means of highest flux and rejection ability towards unwanted solutes. Besides, from the research findings, nano-membrane technology is a potential candidate for the treatment of aquaculture wastewater. 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19786347     DOI: 10.1016/j.biortech.2009.08.070

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  1 in total

1.  Highly efficient removal of ammonia nitrogen from wastewater by dielectrophoresis-enhanced adsorption.

Authors:  Dongyang Liu; Chenyang Cui; Yanhong Wu; Huiying Chen; Junfeng Geng; Jianxin Xia
Journal:  PeerJ       Date:  2018-06-15       Impact factor: 2.984

  1 in total

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