Synthesis and performance of polysulfone-chitosan ultrafiltration membranes for humic acid removal

Natural organic matter (NOM) constitutes a significant contaminant in water sources, adversely affecting drinking water quality and complicating purification processes. To mitigate these contaminants, the current state of the application uses membrane filtration along with structural and surface modification of membranes. This study presents the development of polysulfone (PSU) flat-sheet ultrafiltration (UF) membranes, modified with three different concentrations of chitosan (0.05, 0.06, and 0.08 g), a natural polymer, to enhance NOM removal. The membranes were rigorously characterized using Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and water contact angle (WCA), porosity, and pore size analysis. Furthermore, the study delves into the interaction mechanisms between chitosan and the PSU polymer matrix, as well as the transport phenomena involved. The findings indicate that increasing the chitosan content from 0.05 to 0.08 g markedly enhanced the membrane's surface properties, reducing the contact angle from 72.8° to 53.5° and nearly doubling the permeation rate despite the decrease in porosity and pore size. The PSU UF membrane with 0.08 g chitosan demonstrated a superior humic acid (HA) rejection rate of 90%, underscoring chitosan's potential for improving polymeric membranes in NOM removal applications.

Authors

Institutions

Publication Details

Journal
Desalination and Water Treatment
Published
2024-12-04
DOI
https://doi.org/10.1016/j.dwt.2024.100939
Citations
19
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
3.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis and performance of polysulfone-chitosan ultrafiltration membranes for humic acid removal

Mohammed Awad, Bakr M. Ibraheem, Mustafa H. Al‐Furaiji, Wafaa Kh. Al‐Musawy et al.
19 citations
Desalination and Water Treatment
Membrane Separation Technologies
3.83
article

Synthesis and performance of polysulfone-chitosan ultrafiltration membranes for humic acid removal

Mohammed Awad, Bakr M. Ibraheem, Mustafa H. Al‐Furaiji, Wafaa Kh. Al‐Musawy, Qusay F. Alsalhy, Teeba M. Darwesh
article en
19 citations

Abstract

Natural organic matter (NOM) constitutes a significant contaminant in water sources, adversely affecting drinking water quality and complicating purification processes. To mitigate these contaminants, the current state of the application uses membrane filtration along with structural and surface modification of membranes. This study presents the development of polysulfone (PSU) flat-sheet ultrafiltration (UF) membranes, modified with three different concentrations of chitosan (0.05, 0.06, and 0.08 g), a natural polymer, to enhance NOM removal. The membranes were rigorously characterized using Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and water contact angle (WCA), porosity, and pore size analysis. Furthermore, the study delves into the interaction mechanisms between chitosan and the PSU polymer matrix, as well as the transport phenomena involved. The findings indicate that increasing the chitosan content from 0.05 to 0.08 g markedly enhanced the membrane's surface properties, reducing the contact angle from 72.8° to 53.5° and nearly doubling the permeation rate despite the decrease in porosity and pore size. The PSU UF membrane with 0.08 g chitosan demonstrated a superior humic acid (HA) rejection rate of 90%, underscoring chitosan's potential for improving polymeric membranes in NOM removal applications.

Desalination and Water TreatmentVol. 321
University of Technology - Iraq (IQ), Ministry of Higher Education and Scientific Research (IQ), Toronto Metropolitan University (CA)
Technische Universiteit Delft, Ministry of Science and Technology of the People's Republic of China, University of Technology - Iraq
Clean water and sanitation
Openalex Percentile: Top 6%
Membrane Separation Technologies
3.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.