Simulation-Driven Design and Synthesis of DES-PDMS Membranes for Enhanced Ethanol Pervaporation

Efficient separation of ethanol from water is a critical challenge in the biofuel industry, where traditional methods often fall short in terms of energy efficiency and selectivity. To address this, we explore the potential of novel deep eutectic solvents (DESs) to enhance the performance of pervaporation membranes. Using the Conductor-like Screening Model for Realistic Solvents (COSMO-RS), we identified a promising menthol/thymol based DES with exceptional hydrogen bonding and selectivity properties. Incorporating this DES into poly(dimethylsiloxane) (PDMS) membranes led to significant improvements in separation efficiency. Our DES-PDMS membranes, particularly with a 1:6 molar ratio and 5–10% DES loadings, demonstrated outstanding performance at 60 °C, achieving total fluxes of 0.47 and 0.36 kg m–2 h–1, and separation factors of 26 and 33, respectively. These results align well with the COSMO-RS predictions, highlighting the enhanced chemical affinity between the DES and PDMS, which maintains hydrophobicity and reduces water absorption. This study introduces a novel strategy for membrane performance enhancement, offering significant promise for efficient ethanol separation and broader applications in advanced separations.

Authors

Institutions

Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2024-11-22
DOI
https://doi.org/10.1021/acssuschemeng.4c05410
Citations
4
Primary Topic
Membrane Separation and Gas Transport
Type
article
Field-Weighted Citation Impact
0.85

Funders

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

Simulation-Driven Design and Synthesis of DES-PDMS Membranes for Enhanced Ethanol Pervaporation

Palwasha Khan, Hamad AlMohamadi, Asim Laeeq Khan, Xiangping Zhang et al.
4 citations
ACS Sustainable Chemistry & Engineering
Membrane Separation and Gas Transport
0.85
article

Simulation-Driven Design and Synthesis of DES-PDMS Membranes for Enhanced Ethanol Pervaporation

Palwasha Khan, Hamad AlMohamadi, Asim Laeeq Khan, Xiangping Zhang, Muhammad Bilal Khan Niazi, Zakawat Ali, Mazhar Amjad Gilani, Muhammad Zaman, Muhammad Yasin
article en
4 citations

Abstract

Efficient separation of ethanol from water is a critical challenge in the biofuel industry, where traditional methods often fall short in terms of energy efficiency and selectivity. To address this, we explore the potential of novel deep eutectic solvents (DESs) to enhance the performance of pervaporation membranes. Using the Conductor-like Screening Model for Realistic Solvents (COSMO-RS), we identified a promising menthol/thymol based DES with exceptional hydrogen bonding and selectivity properties. Incorporating this DES into poly(dimethylsiloxane) (PDMS) membranes led to significant improvements in separation efficiency. Our DES-PDMS membranes, particularly with a 1:6 molar ratio and 5–10% DES loadings, demonstrated outstanding performance at 60 °C, achieving total fluxes of 0.47 and 0.36 kg m–2 h–1, and separation factors of 26 and 33, respectively. These results align well with the COSMO-RS predictions, highlighting the enhanced chemical affinity between the DES and PDMS, which maintains hydrophobicity and reduces water absorption. This study introduces a novel strategy for membrane performance enhancement, offering significant promise for efficient ethanol separation and broader applications in advanced separations.

ACS Sustainable Chemistry & EngineeringVol. 12(49)
Pakistan Institute of Engineering and Applied Sciences (PK), COMSATS University Islamabad (PK), China University of Petroleum, Beijing (CN), Institute of Process Engineering (CN), Islamic University of Madinah (SA), National University of Sciences and Technology (PK)
Higher Education Commision, Pakistan
Openalex Percentile: Top 30%
Membrane Separation and Gas Transport
0.85
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.