Issue 25, 2016

High-flux affinity membranes based on cellulose nanocomposites for removal of heavy metal ions from industrial effluents

Abstract

Fully biobased affinity membrane processing and its application in the removal of heavy metal ions from mirror industry effluents were successfully demonstrated; indicating the potential use of these membranes in point-of-use or point-of-entry water cleaning products that are cheap, environmentally friendly and efficient. Layered cellulose nanocomposite membranes were fabricated using cellulose microfiber sludge as a support layer and cellulose nanocrystals (CNCSL, CNCBE or PCNCSL) in a gelatin matrix as the functional layer. Scanning electron microscopy (SEM) studies revealed the bi-layered morphology of the membrane and well-individualized nanocelluloses in the functional layer. Bubble point measurements confirmed the membrane pore structure in the microfiltration range (5.0–6.1 μm), which provided very high water permeability (900–4000 L h−1 m−2) at <1.5 bars. A tensile strength of 16 MPa in dry conditions and a wet strength of 0.2 MPa, was considered sufficient for use of these membranes in spiral wound modules. Mirror industry effluent laden with metal ions (Ag+ and Cu2+/Fe3+/Fe2+) when treated with cellulose nanocomposite membranes, showed high ion removal capacity, being 100% for PCNCSL followed by CNCBE than CNCSL. The removal of metal ions was expected to be driven by interactions between negatively charged nanocellulose and the positively charged metal ions.

Graphical abstract: High-flux affinity membranes based on cellulose nanocomposites for removal of heavy metal ions from industrial effluents

Supplementary files

Article information

Article type
Paper
Submitted
17 Dec 2015
Accepted
15 Feb 2016
First published
16 Feb 2016
This article is Open Access
Creative Commons BY license

RSC Adv., 2016,6, 20644-20653

High-flux affinity membranes based on cellulose nanocomposites for removal of heavy metal ions from industrial effluents

Z. Karim, A. P. Mathew, V. Kokol, J. Wei and M. Grahn, RSC Adv., 2016, 6, 20644 DOI: 10.1039/C5RA27059F

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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