Sustainable water treatment membranes made with mussel-sourced polydopamine reinforced polymers: Thermo-mechanical characterisation

Dopamine, sourced from mussels, was utilised as a sustainable modifier to enhance the thermo-mechanical and filtration performance of polysulfone (PSf)-based ultrafiltration membranes for water treatment. Membranes, fabricated by phase inversion with dopamine/Tris doping (with or without polyvinylpyrrolidone, (PVP)) and polydopamine (PDA) surface coating, were characterised using Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Differential Scanning Calorimetry (DSC), and Dynamic Mechanical Analysis (DMA). Contact angle, water retention capacity (WRC), and porosity were also measured. Micromechanical modelling (Voigt, Reuss, Hill, Self-Consistent) was used to determine the stiffness of the polymers using membrane data. WRC reached 67.6% for PSf/PVP, decreased to 39.2% for PSf/Dopamine, and was 63–66.6% for PDA-coated membranes. Porosity was 15.9–20.2% for neat PSf and PSf/PVP, reduced to 7.3–8.1% with dopamine/Tris doping, and increased by PDA coating (17.7–20.9%). Contact angles of 54–67° indicated increased hydrophilicity with PDA. DSC revealed glass transition temperatures between 201–223 °C, with PVP reducing T g in a PS-Dopamine system from ~215 °C to ~203 °C. DMA up to 100 °C showed stable storage modulus and rising loss modulus, with higher stiffness in solution-treated membranes than in coated ones. Modelling predicted elastic moduli of polymers in the 180–260 MPa range. Flux performance was highest for PSf/PVP/Tris/Dopamine (487.6 L·m⁻²·h⁻¹ pure water, 452.5 L·m⁻²·h⁻¹ lake water, 462.4 L·m⁻²·h⁻¹ fouled), while Mn(II) removal reached 62% for PDA-coated PSf/Dopamine. This study presents the first systematic comparison of dopamine/Tris doping and PDA coating, integrating characterisation with modelling and establishes a framework for sustainable membrane design. • PSf-based ultrafiltration membranes were successfully modified using dopamine and polydopamine. • PDA coating significantly improved hydrophilicity, mechanical stability, and Mn(II) removal efficiency. • Tris and dopamine incorporation increased water flux but caused a decline under fouling conditions. • PVP increased membrane porosity and water retention, enhancing initial filtration performance. • Membranes containing PSf/PVP/Tris/Dopamine showed the highest pure and lake water flux values.

Authors

Institutions

Publication Details

Journal
Colloids and Surfaces A Physicochemical and Engineering Aspects
Published
2025-12-22
DOI
https://doi.org/10.1016/j.colsurfa.2025.139353
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable water treatment membranes made with mussel-sourced polydopamine reinforced polymers: Thermo-mechanical characterisation

Güler Turkoğlu Demirkol, Selva Çavuş, İnci Pir, Kawthr RUKIAH et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects
Membrane Separation Technologies
article

Sustainable water treatment membranes made with mussel-sourced polydopamine reinforced polymers: Thermo-mechanical characterisation

Güler Turkoğlu Demirkol, Selva Çavuş, İnci Pir, Kawthr RUKIAH, Mertol Tüfekci, Sağra Sağlam, Sevgi Güneş Durak, Neşe Tüfekci
article en

Abstract

Dopamine, sourced from mussels, was utilised as a sustainable modifier to enhance the thermo-mechanical and filtration performance of polysulfone (PSf)-based ultrafiltration membranes for water treatment. Membranes, fabricated by phase inversion with dopamine/Tris doping (with or without polyvinylpyrrolidone, (PVP)) and polydopamine (PDA) surface coating, were characterised using Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Differential Scanning Calorimetry (DSC), and Dynamic Mechanical Analysis (DMA). Contact angle, water retention capacity (WRC), and porosity were also measured. Micromechanical modelling (Voigt, Reuss, Hill, Self-Consistent) was used to determine the stiffness of the polymers using membrane data. WRC reached 67.6% for PSf/PVP, decreased to 39.2% for PSf/Dopamine, and was 63–66.6% for PDA-coated membranes. Porosity was 15.9–20.2% for neat PSf and PSf/PVP, reduced to 7.3–8.1% with dopamine/Tris doping, and increased by PDA coating (17.7–20.9%). Contact angles of 54–67° indicated increased hydrophilicity with PDA. DSC revealed glass transition temperatures between 201–223 °C, with PVP reducing T g in a PS-Dopamine system from ~215 °C to ~203 °C. DMA up to 100 °C showed stable storage modulus and rising loss modulus, with higher stiffness in solution-treated membranes than in coated ones. Modelling predicted elastic moduli of polymers in the 180–260 MPa range. Flux performance was highest for PSf/PVP/Tris/Dopamine (487.6 L·m⁻²·h⁻¹ pure water, 452.5 L·m⁻²·h⁻¹ lake water, 462.4 L·m⁻²·h⁻¹ fouled), while Mn(II) removal reached 62% for PDA-coated PSf/Dopamine. This study presents the first systematic comparison of dopamine/Tris doping and PDA coating, integrating characterisation with modelling and establishes a framework for sustainable membrane design. • PSf-based ultrafiltration membranes were successfully modified using dopamine and polydopamine. • PDA coating significantly improved hydrophilicity, mechanical stability, and Mn(II) removal efficiency. • Tris and dopamine incorporation increased water flux but caused a decline under fouling conditions. • PVP increased membrane porosity and water retention, enhancing initial filtration performance. • Membranes containing PSf/PVP/Tris/Dopamine showed the highest pure and lake water flux values.

Colloids and Surfaces A Physicochemical and Engineering AspectsVol. 733
University of Hertfordshire (GB), Nevşehir Hacı Bektaş Veli University (TR), Istanbul University-Cerrahpaşa (TR), Istanbul Technical University (TR), Istanbul University (TR)
Responsible consumption and production
Openalex Percentile: Top 38%
Membrane Separation Technologies
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.