The effect of Schiff base network on the separation performance of thin film nanocomposite forward osmosis membranes
Huy Tran, Van
Kyong Shon, Ho
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Environmental Science and Engineering Program
Water Desalination and Reuse Research Center (WDRC)
KAUST Grant NumberURF/1/3404-01
Online Publication Date2019-02-16
Print Publication Date2019-06
Permanent link to this recordhttp://hdl.handle.net/10754/631108
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AbstractIn this study, Schiff base network-1 (SNW-1) nanoparticles, which are covalent organic frameworks (COFs), were used as fillers in the polyamide (PA) active layer to elevate the performance of thin-film nanocomposite (TFN) forward osmosis (FO) membranes. The TFN membranes were prepared by interfacial polymerization (IP) of m-phenylenediamine (MPD) and trimesoyl chloride (TMC), and the SNW-1 nanoparticles were dispersed in the MPD aqueous solution at various concentrations. The secondary amine groups of SNW-1 nanoparticles reacted with the acyl chloride groups of TMC during the IP reaction to form strong covalent/amide bonds, which facilitated better interface integration of SNW-1 nanoparticles in the PA layer. Additionally, the incorporation of amine-rich SNW-1 nanoparticles into the TFN membranes improved their surface hydrophilicity, and the porous structure of SNW-1 nanoparticles offered additional channels for transport of water molecules. The TFN0.005 membrane with a SNW-1 nanoparticle loading of 0.005 wt.% demonstrated a higher water flux than that of pristine TFC membrane in both AL-FS (12.0 vs. 9.3 Lm-2h-1) and AL-DS (25.2 vs. 19.4 Lm-2h-1) orientations when they were tested with deionized water and 0.5 M NaCl as feed and draw solution, respectively.
CitationAkther N, Lim S, Huy Tran V, Phuntsho S, Yang Y, et al. (2019) The effect of Schiff base network on the separation performance of thin film nanocomposite forward osmosis membranes. Separation and Purification Technology. Available: http://dx.doi.org/10.1016/j.seppur.2019.02.034.
SponsorsThe research conveyed in this paper was supported by King Abdullah University of Science and Technology (KAUST), Saudi Arabia, through the Competitive Research Grant Program – CRG2017 (CRG6), Grant # URF/1/3404-01.