Boon Kee
Voon†
a,
Yen Juin
Yap†
a and
Wai Fen
Yong
*abc
aCentre of Excellence for Green and Advanced Technologies in Efficient Separations (GATES), School of Energy and Chemical Engineering, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, 43900, Sepang, Selangor, Malaysia. E-mail: waifen.yong@xmu.edu
bState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
cGulei Innovation Institute, Xiamen University, Zhangzhou 363200, China
First published on 10th September 2025
Green chemistry and engineering play a vital role in sustainable separation and technology developments. Over the past decade, significant progress has been made in applying green solvents to separation processes, with a focus on reducing the reliance on conventional toxic solvents such as N-methyl-2-pyrrolidone (NMP), N,N-dimethylformamide (DMF), and N,N-dimethylacetamide (DMAc). Green solvents offer a promising alternative due to their biodegradability, low environmental impact, and minimal health hazards. Nevertheless, most existing studies focus on individual solvents or specific applications, leaving gaps in understanding regarding solvent–polymer compatibility, scalability, and trade-offs between sustainability and separation efficiency, particularly for liquid and gas separations in membrane technology. This review addresses these gaps by categorizing recent advancements in the use of green solvents for membrane fabrication over the past decade. The solvents are grouped into the categories esters, polar aprotic, dipolar aprotic, polar protic, non-polar aprotic, organic salts, and oils. These green solvents include γ-valerolactone (GVL), Cyrene™, Tamisolve® NxG, Rhodiasolv® PolarClean, ionic liquids (ILs), deep eutectic solvents (DESs), and plant-derived oils. This review also evaluates the interactions between these solvents and commonly used polymers using the Hansen solubility parameter (HSP), alongside the CO2 capture and water purification performance of the resulting membranes. Additionally, current applications of artificial intelligence (AI) tools in solvent selection are discussed, highlighting their potential to predict polymer–solvent compatibility and optimize membrane fabrication formulations. By summarizing recent advancements, evaluating industrial applicability, and identifying unresolved challenges, this review provides a roadmap for the adoption of green solvents in next-generation membrane technologies, urging researchers and industry stakeholders to accelerate the transition toward sustainable solvent-based processes.
Green foundation1. This review highlights the classification of green solvents used in membrane fabrication for gas and liquid separation applications. Recently developed green solvents are discussed, with a focus on solvent–polymer compatibility assessed using the Hansen solubility parameter (HSP) model. Artificial intelligence tools are also explored to aid solvent selection.2. As an emerging research area, green solvents offer reduced environmental impact and are increasingly important for industries such as water treatment and carbon capture. The review evaluates various types of green solvents and their influence on membrane performance. 3. Key future challenges include scalability and economic feasibility. By integrating HSP analysis, solvent classification, and AI-based selection methods, this review provides valuable insights to support the wider adoption of green solvents. These strategies aim to optimize membrane compatibility and efficiency, contributing to the advancement of sustainable separation technologies. |
Membrane technology has gained recognition as a green approach because of its environmental friendliness, ease of operation, high energy efficiency, compact footprint, and cost-effectiveness.4,5 Membrane technology has seen increasing application across the chemical, pharmaceutical, biotechnology, and metallurgy industries, significantly reducing solvent usage.6 Specifically, polymeric membranes are gaining attention from researchers for gas separation, as they provide higher purity gas streams (e.g., H2, O2, N2, CO2, CH4) for industrial use and help to reduce greenhouse gas emissions.7–10 To promote green development, green solvents have emerged as promising alternatives for extraction and separation processes.11 The urgency to address CO2 emission stems from the imminent threat of global warming. According to studies, the world's temperature has increased by 1.5 °C compared to before industrialization.12 Consequently, it is anticipated that CO2 emissions will need to be reduced by 45% from 2010 levels by 2030, with the ultimate target to reach net-zero CO2 emissions by 2050.
The synthesis of membranes often relies on the use of conventional solvents, which pose significant environmental and health risks due to their toxicity, volatility, and non-biodegradability. The switch from traditional solvents to environmentally friendly solvents for membrane manufacture is due to the hazardous effects of conventional solvents such as N-methyl-2-pyrrolidone (NMP), N,N-dimethylformamide (DMF) and N,N-dimethylacetamide (DMAc). These solvents produce an extensive amount of effluent annually in industry, which contradicts sustainability goals.13 These solvents have been classified by the European Chemicals Agency (ECHA) as substances of very high concern (SVHC) due to their reproductive toxicity (hazard statement H360D).14 To comply with regulations and address environmental, health and safety (EHS) issues, it is imperative to explore greener solvent alternatives. In this review, we focus on green solvents that align with the principles of green chemistry and exhibit a combination of characteristics such as low toxicity, high biodegradability, low volatility, minimal environmental persistence, and derivation from renewable or bio-based sources. Additionally, regulatory factors such as compliance with REACH or GHS safety classifications are considered. These criteria are based on solvent selection frameworks, including CHEM21 and the GlaxoSmithKline (GSK) solvent sustainability guide. Green solvents that meet these parameters provide safer, more sustainable alternatives to conventional solvents like NMP, DMF, and DMAc, making them suitable for use in membrane fabrication.15–17
Green solvents are defined based on assessments such as CHEM21 and GSK, which evaluate their potential as substitutes for conventional toxic solvents.18 Recent studies have highlighted γ-butyrolactone (GBL), dimethyl sulfoxide (DMSO), GVL, Cyrene™, Rhodiasolv® Polarclean, Tamisolve® NxG, DESs, ILs, isopropyl alcohol (IPA), and glycerol derivatives as emerging green solvents, accelerating their exploration for use in separation systems.18–23 Key properties that green solvents must fulfil include exposure potential, safety, incineration emissions, environmental impact, recovery and recyclability, and low volatility.24 However, the development of green solvents for incorporation into separation processes is still in its early stages. As shown in Fig. 1, research interest in green solvents for filtration membrane fabrication has grown significantly over the past decade. Despite this progress, further studies are needed to thoroughly assess their environmental impact, underscoring the importance of sustained research efforts in this field.
Particularly for liquid separation, Zou et al. provided a thorough review summarizing polymer membranes fabricated with green solvents for water treatment including microfiltration (MF), ultrafiltration (UF), nanofiltration (NF) and reverse osmosis (RO).25 This review highlighted the shift toward non-toxic solvents in polymer membrane fabrication for applications such as water treatment and gas separation. It evaluated green alternatives, considered their economic impact, and offered insights to enhance sustainability in membrane production. Figoli et al. presented a critical review of efforts to replace toxic solvents (e.g., DMF, NMP) with greener alternatives like supercritical CO2 (ScCO2) and ionic liquids.20 They highlighted advancements in nonsolvent induced phase separation (NIPS) and temperature induced phase separation (TIPS) techniques, while also acknowledging remaining challenges in achieving complete substitution without compromising performance. Naziri Mehrabani et al. summarized the green solvents used in polymeric membrane fabrication including bio-source solvents such as Cyrene™, ILs, DESs, DMSO, TamiSolve® NxG and Polarclean for liquid and gas separation.26 They critically discussed the dissolution of polymers in the solvents and the role of green solvents in modifying the morphology of the membrane to enhance separation efficiency. Despite these valuable contributions, there remains a gap in the classification of green solvents, and a lack of comparative analysis between solvents used in both liquid and gas separation. Additionally, limited attention has been paid to trade-offs such as environmental impact versus membrane performance.
Fig. 2 illustrates the upward trend in the number of publications on green solvents indexed in Web of Science, specifically focusing on their application of selected green solvents in membrane synthesis over the past decade. It highlights the growing importance of exploring green solvents across various applications, particularly for enhancing sustainability. The review presents recent advancements in green solvent research over the last 10 years, with special attention being paid to emerging solvents such as GBL, glycerol triacetate (GTA), triethyl phosphate (TEP), 2-methyltetrahydrofuran (2-MeTHF), Cyrene™, GVL, DMSO, Tamisolve® NxG, Polarclean, Agnique® AMD 3 L, ILs, DESs, palm oil, rice bran oil (RBO), and sunflower oil. Among various membrane applications, NF and gas separation membranes are the most widely studied using green solvents, reflecting strong research interest in sustainable water treatment and carbon capture technologies. This review aims to address these gaps by introducing a comprehensive classification framework for green solvents used in membrane fabrication, encompassing both liquid and gas separation applications. This approach enables a clearer comparison of solvent performance, compatibility with various polymers, and environmental sustainability. With this, the green solvents are categorized as esters, polar aprotic, dipolar aprotic, polar protic, non-polar aprotic, ketones, alcohols, organic salts, and oils. The classification, physicochemical properties, and membrane-related applications of these green solvents in both gas and liquid separation processes are examined. Key advancements in solvent–polymer compatibility, particularly through the use of the Hansen solubility parameter (HSP), are discussed alongside the prevailing challenges in scalability and economic feasibility. Moreover, several AI modelling tools that aid in solvent selection by predicting compatibility and optimizing formulations are discussed. Finally, future prospects are outlined, with the goal of bridging the gap between laboratory research and industrial implementation, thereby accelerating the adoption of sustainable separation technologies.
HSPs are an extension of the Hildebrand solubility parameter, which quantifies the cohesive energy density of a material. The total solubility parameter (δ) integrates three individual components, dispersion forces (δd), polar interactions (δp) and hydrogen bonding (δh), into a single measure of cohesive energy density, and is expressed as:
![]() | (1) |
Table 1 summarizes the HSP values for common polymers such as PVDF, PES, polysulfone (PSf), polyetherimide (PEI), and others. The data reveal distinct solubility characteristics. For instance, poly(vinyl alcohol) (PVA) exhibits a high hydrogen bonding component, indicating a preference for highly polar or protic solvents, whereas polyacrylonitrile (PAN) shows strong polar and dispersive interactions, necessitating solvents with balanced polarity. Table 2 lists the HSP values of green solvents, including bio-derived options like Cyrene™, GVL, and Tamisolve® NxG. By comparing the HSPs of polymers and green solvents, one can select alternative green solvents with high polymer–solvent affinity, which can facilitate desirable phase inversion and membrane morphology.
| Polymers | δ d (MPa1/2) | δ p (MPa1/2) | δ h (MPa1/2) | δ (MPa1/2) | Ref. |
|---|---|---|---|---|---|
| PVDF | 17.10 | 12.60 | 10.60 | 23.74 | 30 |
| PES | 19.60 | 10.80 | 9.20 | 24.20 | 30 |
| PSf | 18.84 | 11.22 | 7.95 | 23.32 | 25 |
| PEI | 19.60 | 7.60 | 9.00 | 22.87 | 20 |
| PI | 20.90 | 11.30 | 9.70 | 25.66 | 30 |
| CA | 16.00 | 7.50 | 13.50 | 22.24 | 30 |
| PVA | 17.00 | 9.00 | 18.00 | 26.34 | 30 |
| PAN | 21.70 | 14.10 | 9.10 | 27.43 | 30 |
| PESU | 17.60 | 10.40 | 7.80 | 21.88 | 31 |
| PDMS | 15.24 | 4.30 | 2.92 | 16.10 | 32 |
| PEO | 17.80 | 0.56 | 9.10 | 20.00 | 33 |
| Solvents | δ d (MPa1/2) | δ p (MPa1/2) | δ h (MPa1/2) | δ (MPa1/2) | Ref. |
|---|---|---|---|---|---|
| 2-MeTHF | 16.90 | 5.00 | 4.30 | 18.14 | 34 |
| Agnique® AMD 3 L | 18.40 | 12.90 | 15.90 | 27.53 | 35 |
| Cyrene™ | 18.80 | 10.60 | 6.90 | 22.66 | 26 |
| DMSO | 18.40 | 16.40 | 10.20 | 26.68 | 36 |
| GBL | 18.00 | 16.60 | 7.40 | 25.58 | 34 |
| GTA | 18.35 | 13.39 | 0.43 | 22.72 | 37 |
| GVL | 15.50 | 4.70 | 6.60 | 17.49 | 38 |
| Polarclean | 15.80 | 10.70 | 9.20 | 21.18 | 39 |
| Tamisolve® NxG | 17.20 | 8.20 | 5.90 | 19.95 | 39 |
| TEP | 16.80 | 11.50 | 9.20 | 22.34 | 40 |
The compatibility between a solvent and a polymer can be evaluated based on their distance in Hansen space, commonly referred to as the HSP distance, Ra, which is expressed as:
![]() | (2) |
To further illustrate the relative position of a solvent within the solubility space of a polymer, the relative energy difference (RED) is calculated using the following equation:
![]() | (3) |
To determine polymer solubility in a given solvent, the RED value is used: if RED < 1, the solvent is likely to dissolve the polymer; if RED > 1, it is unlikely to dissolve the polymer. Table 4 tabulates the calculated Ra and RED values for selected green solvents. The concept of the HSP sphere is central to applying HSPs. Each polymer has a unique solubility sphere in three-dimensional space, defined by its δd, δp, and δh values. The sphere represents the range of solvent parameters compatible with the polymer. Solvents with HSP values that fall within the sphere are likely to dissolve the polymer, while those outside the sphere are not. The size of the HSP sphere is determined by the polymer's solubility behaviour across various solvents, using experimental data to distinguish between solvents that lie inside (soluble) and outside (insoluble) the sphere.
| Polymers | PVDF | PES | PSf | PEI | ||||
|---|---|---|---|---|---|---|---|---|
| Solvents | R a | RED | R a | RED | R a | RED | R a | RED |
| 2-MeTHF | 9.88 | 1.98 | 9.32 | 1.50 | 8.19 | 1.51 | 7.62 | 1.27 |
| Agnique® AMD 3 L | 5.91 | 1.18 | 7.42 | 1.20 | 8.17 | 1.51 | 9.03 | 1.50 |
| Cyrene™ | 5.41 | 1.08 | 2.81 | 0.45 | 1.22 | 0.23 | 4.00 | 0.67 |
| DMSO | 4.62 | 0.92 | 6.17 | 1.00 | 5.72 | 1.05 | 9.20 | 1.53 |
| GBL | 5.43 | 1.09 | 6.86 | 1.11 | 5.66 | 1.04 | 9.69 | 1.61 |
| GTA | 10.50 | 2.10 | 9.48 | 1.53 | 7.89 | 1.46 | 10.64 | 1.77 |
| GVL | 9.42 | 1.88 | 10.55 | 1.70 | 9.43 | 1.74 | 9.02 | 1.50 |
| Rhodiasolv® Polarclean | 3.51 | 0.70 | 7.60 | 1.23 | 6.23 | 1.15 | 8.21 | 1.37 |
| Tamisolve® NxG | 6.44 | 1.29 | 6.38 | 1.03 | 4.91 | 0.91 | 5.75 | 0.96 |
| TEP | 1.88 | 0.38 | 5.64 | 0.91 | 4.28 | 0.79 | 6.83 | 1.14 |
In this review, HSP analysis is employed as a predictive tool for selecting green solvents with high affinity to specific polymers, thereby guiding the choice of primary solvents. In other cases, it is also used as a framework for designing co-solvent systems when single solvents cannot fully dissolve the polymer. Additionally, it serves as a post hoc rationalization method to interpret experimental results in relation to polymer–solvent interactions and their effects on membrane structure and performance.27,43–45Fig. 3 illustrates the HSP spheres for PVDF, PES, PSf, and PEI, along with the Ra values of various green solvents, including 2-MeTHF, Agnique® AMD 3 L, Cyrene™, DMSO, GBL, GTA, GVL, Polarclean, Tamisolve® NxG, and TEP.
The HSP analysis reveals that polymers such as PVDF, PES, PSf, and PEI exhibit comparable solubility behaviour, each demonstrating compatibility with a range of green solvents. Among these solvents, Cyrene™, Polarclean, and TEP fall within the HSP spheres, indicating good polymer–solvent affinity with all four polymers. Additionally, DMSO, GBL, and Tamisolve® NxG also show compatibility with three of the polymers, while 2-MeTHF, GVL, and Agnique® AMD 3 L exhibit solubility potential for PEI and PVDF. In contrast, GTA does not fall within the HSP sphere, suggesting limited polymer–solvent affinity for PVDF, PES, PSf, and PEI. However, potential applications in other polymer membrane systems are explored later in this review.
While the HSP offers a useful theoretical framework for evaluating polymer–solvent compatibility, it has inherent limitations.38,46 The HSP model is based on equilibrium thermodynamics and assumes homogeneous polymer–solvent mixtures; this is not always valid in complex casting solutions. It does not account for kinetic factors such as solvent evaporation rate, phase inversion dynamics, or polymer chain mobility, nor can it predict final membrane morphology. These limitations are particularly relevant in membrane fabrication, where non-equilibrium processes dominate. In systems involving ILs or GVL, deviations from ideal thermodynamic behaviour can further challenge the assumptions underlying the model. Therefore, while HSPs can guide initial solvent selection and help explain observed solubility trends, they should be applied with caution and validated experimentally. In such complex systems, combining HSP with tools like ternary phase diagrams, molecular simulations, and dynamic characterization techniques provides a more comprehensive understanding of the membrane formation process.
| Class | Green solvents | Molar mass | Density | Melting point | Boiling point | Flash point (closed cup) | Viscosity | NFPA | GHS classification | Toxicity | Waste disposal | Biodegradability | Renewable stocks | Functions in membrane separation | Ref. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Esters |
|
86.09 g mol−1 | 1.13 g cm−3 at 20 °C | −43 °C | 204 °C | 94 °C | Low (1.7 cP) |
|
H302 | Moderate | Safe | High | Lignin, cellulose | Applied in flat sheet and hollow fiber membrane preparation | 49 |
| H318 | |||||||||||||||
| H336 | |||||||||||||||
|
218.20 g mol−1 | 1.161 g cm−3 at 20 °C | −78 °C | 258 °C | 148 °C | Moderate (23 cP) |
|
Not a hazardous substance or mixture | Low | Safe | Moderate | Glycerol | The most CO2-philic oxygenated hydrocarbon compounds | 50 | |
| - High CO2 solubility | |||||||||||||||
| Polar aprotic |
|
182.16 g mol−1 | 1.072 g cm−3 at 25 °C | −56.4 °C | 215 °C | 130 °C | Low (1.7 cP) |
|
H319 | Slightly moderate | Slightly hazardous | High | Phosphorus trichloride and ethyl alcohol with ammonia gas | Exhibit excellent CO2 absorption due to dipole–quadrupole interactions | 51 |
| H302 | Capable of forming hydrogen bonds | ||||||||||||||
|
86.13 g mol−1 | 0.855 g cm−3 at 20 °C | <−20 °C | 78 °C | −10.0 °C | Low (4 cP) |
|
H225 | Moderate | Hazardous | High | Sugarcane bagasse, rice straw and corn stover | As a higher boiling substitute for tetrahydrofuran as a solvent for membrane preparation | 52 | |
| H302 | |||||||||||||||
| H315 | |||||||||||||||
| H318 | |||||||||||||||
|
100.1 g mol−1 | 1.05 g cm−3 at 25 °C | −31 °C | 206 °C | 102 °C | Low (1.86 cP) |
|
H227 | Slightly moderate | Safe | High | Cellulose | Applied in CO2 capture adsorbents | 53 | |
| Dipolar aprotic |
|
78.13 g mol−1 | 1.1 g cm−3 at 20 °C | 16–19 °C | 189 °C | 87 °C | Low (2 cP) |
|
Not a hazardous substance or mixture | Low | Slightly hazardous | High | Lignin | Promising dipolar aprotic solvent for membranes and adsorbents | 54 |
|
141.21 g mol−1 | 0.96 g cm−3 at 25 °C | <−75 °C | 241 °C | 108 °C | Low (4 cP) |
|
H302 | Moderate | Safe | High | Glutamic acid | Novel solvent for polymeric membrane synthesis | 55 | |
| H315 | |||||||||||||||
| H319 | |||||||||||||||
|
187.8 g mol−1 | 1.01 g cm−3 at 20 °C | <−60 °C | 278–282 °C | 144–146 °C | Moderate (9.82 cP) |
|
H319 | Slightly moderate | Safe | High | Byproduct of Nylon-66 manufacturing | Solvent for membrane preparation | 56 and 57 | |
|
128.13 g mol−1 | 1.25 g cm−3 at 20 °C | <−20 °C | 227 °C | 108 °C | Moderate (14.5 cP) |
|
H319 | Slightly moderate | Safe | High | Cellulose | Applied in CO2 capture adsorbents | 58 | |
| Polar protic |
|
117.1 g mol−1 | 1.046 g cm−3 at 20 °C | ≥−11 to ≤2 °C | ≥224 °C | 109.5 °C | Low (5.1 cP) |
|
Not a hazardous substance or mixture | Low | Safe | High | Lactic acid from fermentation | Solvent for membrane synthesis for a variety of applications, including ultrafiltration and forward osmosis | 57 and 59 |
| Organic salt | ILs | — | — | — | — | — | Low | N/A | Non hazardous | Low | Safe | Moderate | Lignin, protein, cellulose, fats | A wide variety of CO2 philic functional groups such as –NH2, –OH and –COOH | |
| DES | — | — | — | — | — | Low | N/A | Non hazardous | Low | Safe | High | Lignin, protein, cellulose, fats | Alternative to toxic amine solvents in industry | ||
| Capable of forming carbamate | |||||||||||||||
| Oil | Palm oil | 847.78 g mol−1 | 0.88 g cm−3 at 20 °C | 25–40 °C | >350 °C | >300 °C | Moderate (25 cP) |
|
Not a hazardous substance or mixture | Low | Safe | High | Oil palm | Used as a non-volatile and renewable diluent in emulsion liquid membranes | 60 |
| Rice bran oil | 867.90 g mol−1 | 0.89–0.94 g cm−3 | −15 °C | >230 °C | >130 °C | Moderate (47.90 cSt) |
|
Not a hazardous substance or mixture | Low | Safe | High | Rice bran | Used as a solvent in green emulsion liquid membranes | 61 | |
| Sunflower seed oil | 886.5 g mol−1 | 0.91–0.93 g cm−3 | −15 °C | >230 °C | >93.3 °C | No data available |
|
Not a hazardous substance or mixture | Low | Safe | High | Sunflower seed | Used as a solvent in green emulsion liquid membranes | 62 |
| Solvent | Availability (no. of vendors) | Production (k tons per year) | Cost (€ per L) | Ref. | |
|---|---|---|---|---|---|
| a It refers to a plant from Circa Group. b The GVL production plant is simulated using Aspen Plus. c It refers to a plant from Solvionic. d The unit is € per kg. | |||||
| Conventional | NMP | 71 | 50–125 | 130 | 63–65 |
| DMF | 52 | 959 | 130 | 63, 65 and 66 | |
| DMAc | 63 | 50–60 | 110 | 63, 65 and 67 | |
| Green | GBL | 30 | 130 | 85 | 63, 65 and 68 |
| GTA | 70 | 10–50 | 110 | 63, 65 and 69 | |
| TEP | 61 | 7 | 125 | 63, 65 and 70 | |
| 2-MeTHF | 53 | 10 | 81 | 63, 71 and 72 | |
| Cyrene™ | 30 | 1a | 195 | 63, 65 and 73 | |
| GVL | 71 | 35b | 135 | 63, 74 and 75 | |
| DMSO | 60 | — | 290 | 63 and 75 | |
| Tamisolve® NxG | 63 | — | 79 | 63 and 72 | |
| Rhodiasolv® | 12 | — | — | 63 | |
| Polarclean | |||||
| Agnique® | 41 | — | 60 | 63 and 72 | |
| AMD 3 L | |||||
| ILs | — | 0.6c | 1–30d | 76 and 77 | |
| DES | — | 13.8 | — | 78 | |
| Palm oil | — | 89 287 |
0.79–1.03 | 79 and 80 | |
| Rice bran oill | — | 11 023 |
1.16 | 81 and 82 | |
| Sunflower | — | 20 966 |
0.87 | 83 and 84 | |
| Seed oil | |||||
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| Fig. 4 Production routes for GBL from petroleum- and glucose-based sources. Reproduced from ref. 48 with permission from Royal Society of Chemistry, copyright 2011. | ||
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Fig. 5 (a) FITR spectra of (i) standard GTA and (ii) GTA synthesized using a 1 : 3 molar ratio of glycerol to acetic anhydride with Amberlyst-15 acid resin. Reproduced from ref. 87 with permission from PubliSBQ, copyright 2015. (b) Sustainability assessment of GTA compared to toluene, cyclopentyl methyl ether (CPME), dimethyl isosorbide (DMI), Cyrene™ and anisole. Reproduced from ref. 90 with permission from American Chemistry Society, copyright 2025. | ||
Beyond use as a support membrane solvent, GBL has also been utilized for fabricating dense selective layers. Alqaheem and Alomair reported a reduction in the performance of PEI membranes when GBL alone was employed to dissolve the polymer.96 This decline was attributed to the formation of a dense membrane structure caused by limited interaction between the polymer and GBL, resulting in coiled chains and low chain extension. To address this, they explored the co-use of GBL and DMF (a non-green solvent). Interestingly, membranes prepared with 75 wt% DMF and 25 wt% GBL showed higher permeability than those prepared with 100 wt% DMF. The H2/CH4, H2/N2, He/CH4, He/N2, CO2/CH4 and CO2/N2 selectivity increased to 29.3, 7.6, 22.6, 5.8, 8.8 and 2.3, respectively. They concluded that further research was needed to identify fully green solvents that could replace DMF.
Zhao et al. fabricated Pebax 1657 mixed matrix membranes (MMMs) incorporating carbon nanotubes (CNTs) and GTA for gas separation.97 CNTs were selected due to their exceptional mechanical strength and ability to enhance gas transport. GTA acted as a plasticizer, enhancing the amorphous structure and chain mobility of Pebax 1657, which in turn improved the CO2 permeability. However, increasing the GTA content led to a decrease in CO2/CH4 selectivity from 17.8 to 14 due to the increase in FFV, which facilitated CH4 transport. Conversely, an increase in CO2/H2 selectivity was observed, which was attributed to improved solubility selectivity.
Another group developed Pebax 1657-based nanocomposite membranes by incorporating alumina nanotubes (ANTs) and GTA.98 Compared to pristine Pebax, the Pebax/4 wt% ANTs/40 wt% GTA membrane exhibited a 73.8% increase in gas permeability, while the CO2/CH4 selectivity decreased only slightly by about 5% to 17.3. This enhancement was ascribed to the porous ANTs disrupting polymer chain packing, thereby increasing FFV and chain mobility.
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| Fig. 6 (a) SEM images of CA membranes prepared using GTA with varying 2-MeTHF concentrations. Reproduced from ref. 99 with permission from Elsevier B.V., copyright 2021. (b) Results of characterization studies on membranes doped with different wt% TiO2 nanoparticles. Reproduced from ref. 116 with permission from Elsevier B.V., copyright 2024. (c) DCMD performance of NIPS and SANIPS membranes sprayed with water for 45 s (denoted as Sw45s). Reproduced from ref. 102 with permission from Elsevier B.V., copyright 2023. (d) Plot of 2-MeTHF concentration versus permeance and dye rejection for CA membranes prepared with GTA. Reproduced from ref. 99 with permission from Elsevier B.V., copyright 2021. | ||
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| Fig. 7 (a) Phase diagram of the PVDF/solvent/water ternary system. (b) Mean squared displacement (MSD) of PVDF polymer chains in NMP and TEP solvents. (c) Molecular dynamics simulations showing PVDF chain conformations in NMP (left) and TEP (right). Reproduced from ref. 104 with permission from Elsevier B.V., copyright 2017. | ||
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| Fig. 8 Life cycle production stages of biomass cultivation to 2-MeTHF production. Reproduced from ref. 107 with permission from Elsevier B.V., copyright 2015. | ||
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| Fig. 9 (a) Two sustainable pathways for the production of GVL. Reproduced from ref. 110 with permission from Elsevier B.V., copyright 2019. (b) Two-step synthesis of Cyrene™. Reproduced from ref. 145 with permission from IntechOpen, copyright 2019. | ||
:
2 ratio of Tamisolve® NxG
:
DMSO. The gas separation performance was evaluated using a 50
:
50 vol% CO2/CH4 mixed gas feed. The membrane fabricated with 24 wt% 2-MeTHF demonstrated a notable improvement in CO2/CH4 selectivity from 14.0 to 22.0. However, this enhancement was accompanied by a reduction in CO2 permeance, which decreased from 170 to 144 GPU. This study highlights the potential of green solvent systems in optimizing membrane performance for sustainable gas separation applications.
These PVDF membranes featured an asymmetric structure with a finger-like top layer and a spherulitic substructure, resulting in different hydrophobicity, in which the contact angles measured around 120° on the rougher spherulitic side and around 92° on the smoother finger-like side. Vacuum membrane distillation (VMD) experiments demonstrated the membrane's ability to recover over 80% of water from arsenic-contaminated solutions while achieving a fivefold concentration of As(III). Transmembrane flux increased from 1.2 ± 0.1 kg m−2 h−1 to 6.3 ± 0.3 kg m−2 h−1 as the feed temperature increased from 40 °C to 60 °C, further improving to 7.1 ± 0.2 kg m−2 h−1 under UV irradiation due to additional radiant heating.
Moreover, Chung and co-workers successfully developed superhydrophobic PVDF membranes using TEP as a green solvent via the spray-assisted non-solvent induced phase separation (SANIPS) method for brine desalination through direct contact membrane distillation (DCMD).102 As the air spray duration increased from 0 to 240 s, the PVDF membranes originally exhibiting a flattened surface morphology showed a gradual decrease in water contact angle from 124° to 82°. This change was attributed to a slower phase inversion process and Marangoni effects inherent to TEP.117,118 Notably, membranes sprayed with water for 45 s achieved superhydrophobic surfaces with self-cleaning properties, demonstrating advanced functional performance. The separation performance of membranes fabricated via NIPS and SANIPS methods was evaluated using a 10 wt% NaCl solution at 60 °C in a DCMD setup. While the NIPS membrane experienced wetting after 10 h with salt rejection dropping dramatically to 70% within 3 h, the SANIPS membrane treated with water for 45 s maintained a stable water flux of 22 kg m−2 h and a high salt rejection rate of 99.9% throughout the 100 h continuous test (Fig. 6(c)).102 This exceptional performance was attributed to the superior wetting resistance and superhydrophobic characteristics of the membrane.
As previously mentioned, 2-MeTHF was employed as a co-solvent in the fabrication of CA membranes for the nanofiltration of RB dye, with GTA as the primary solvent. The results showed that increasing the 2-MeTHF concentration led to a decrease in permeance but an improvement in RB rejection, as depicted in Fig. 6(d).99 This trend is attributed to the volatile nature of 2-MeTHF, despite the minimized evaporation time before coagulation.119 These findings suggest that the addition of 2-MeTHF enhanced membrane selectivity, positioning it as a promising co-solvent for optimizing the nanofiltration performance in dye separation applications. Besides, 2-MeTHF was applied in the cross-linking of polybenzimidazole (PBI) membranes for organic solvent nanofiltration (OSN). The resulting cross-linked PBI membrane demonstrated exceptional performance, achieving a 99.6% rejection rate for Remazol Brilliant Blue R. Additionally, it exhibited high solvent permeances of 40.7, 29.0, 13.8, and 5.8 LMH per bar for acetonitrile, acetone, ethanol, and isopropanol, respectively, under a test pressure of 10 bar. This combination of high rejection and significant solvent permeance highlights the effectiveness of membranes in both separation and solvent filtration applications.120
Additionally, Rasool et al. reported that GVL was a promising alternative to conventional organic solvents for dissolving polymers such as CA, polyimide, PES, cellulose triacetate (CTA), and PSf.21 However, they found that chitosan and PVA were insoluble in GVL. NF membranes fabricated using 10% CTA/GVL and 15% CA/GVL achieved 90% rejection of RB with a PWP of 11.7 LMH per bar and 1.8 LMH per bar, respectively. In another study, the same group further confirmed the feasibility of employing GVL as an organic solvent in the NIPS process.121 The 10% CTA/GVL membrane, using water as the non-solvent, exhibited optimal performance with 94% rejection of RB with a PWP of 15.9 L m−2 h−1 bar−1.
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| Fig. 10 (a) Chemical modifications occurring during DMSO production from lignin. Reproduced from ref. 123 with permission from Elsevier B.V., copyright 2014. (b) Schematic summary of expanded atmospheric chemistry of DMS oxidation. Reproduced from ref. 124 with permission from Copernicus, copyright 2022. | ||
Key characteristics such as high biodegradability, low toxicity and non-mutagenicity make DMSO a suitable alternative to toxic solvents. Reports indicate that DMSO exhibits exceptionally low human health toxicity, with an estimated burden of less than 0.5 × 10−6 disability-adjusted life years (DALYs) per kilogram of solvent emitted, reflecting its minimal impact on the human population.126 Moreover, it poses minimal risk to aquatic organisms. For instance, LD50 values for salmon and trout range from 12 to 17 g kg−1, while EC50 values for aquatic invertebrates and plants are approximately 2–3%. A study by the U.S. Fish and Wildlife Service also classified DMSO as having low toxicity to fish.127 The U.S. Environmental Protection Agency (EPA) has stated that DMSO is non-toxic and poses no health risks to humans.128
Furthermore, DMSO is a low viscosity, polar aprotic and recyclable solvent, making it suitable for diverse applications. For example, DMSO can be used to extract polyester from waste jeans in the textile industry, and the used solvent can be recycled, resulting in a 99% reduction in solvent waste.129 It is also considered a promising green solvent substitute for toxic solvents in perovskite solar cell production.126 Due to its high dissolving power for a wide range of polymers, DMSO is more frequently used than other green solvents. Figoli et al. reported that none of the green solvents tested, including Polarclean, Tamisolve® NxG, GVL and Cyrene™ were capable of dissolving certain polymers.20 However, DMSO is the only green solvent demonstrating similar solubility characteristics and polymer–solvent interactions to those of conventional solvents.130 To date, DMSO has also been utilized in CO2 capture applications. Its high dissolving power enables the dispersion of various adsorbents for CO2 capture such as chitin-acetate, α-cyclodextrin and choline glycinate.131–133 Additionally, dissolving amines in DMSO promotes the formation of carbamate species upon reaction with CO2, thereby increasing CO2 take up.
For solvent recovery, vacuum distillation proved to be an effective method, enabling high-purity recovery of Polarclean from the aqueous phase at a water
:
Polarclean volume ratio of 10
:
3.143 As a less energy-intensive alternative, liquid–liquid extraction was also explored. In this approach, the aqueous mother liquor was first washed with toluene to remove apolar contaminants such as unreacted substrates or products. Owing to its polar nature, Polarclean remained in the aqueous layer, but its moderate polarity also enabled efficient extraction using ethyl acetate (EtOAc). Subsequent evaporation of EtOAc yielded Polarclean with >99% purity, demonstrating its strong potential for reuse via both distillation and solvent extraction routes.
Despite its strong green credentials and comparable solubility parameters to DMF and NMP, Cyrene™ presents several practical challenges that limit its widespread adoption. One key drawback is its relatively high viscosity (∼14.5 cP at 20 °C), which can affect polymer dissolution and dope solution processability during membrane casting.152 During the membrane preparation process with Cyrene™, high humidity would cause polymer precipitation and agglomeration.22 Economic and logistical factors also present barriers. Cyrene™ is currently produced at a limited scale and commercial Cyrene™ contains numerous impurities that can interfere in the process.153 These trade-offs underscore the need for further process optimization and supply chain development to enable broader use of Cyrene™ in membrane fabrication.
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| Fig. 11 (a) Schematic diagram of the chemical reaction used to synthesize SNW-3 fillers with melamine and isophthalaldehyde. (b) FESEM images of (i) SNW-3 fillers and (ii–iv) SNW-3/PSf MMMs. Reproduced from ref. 154 with permission from Elsevier, B.V., copyright 2022. (c) Illustration of phases present in supported liquid membranes (SLMs). Reproduced from ref. 155 with permission from Elsevier, B.V., copyright 2010. (d) Synthesis of ILMMMs. Reproduced from ref. 156 with permission from Wiley, copyright 2019. | ||
Soh et al. reported Tamisolve® NxG as a green solvent for fabricating polyimide membranes for CO2 separation by assessing the solubility of 6FDA-durene using HSPs.23 They compared two fabrication methods, namely chemical imidization and one-step high-temperature polymerization. Membranes fabricated from polymer synthesized via chemical imidization exhibited lower chain packing, higher free volume, and greater gas permeability. In constrast, membranes prepared through one-step polymerization displayed higher thermal stability and molecular weight. The chemically imidized membranes delivered superior gas permeability and O2/N2, CO2/N2, and CO2/CH4 selectivities as shown in Fig. 12,23 with a CO2 plasticization pressure reaching up to 25 bar, outperforming those fabricated with conventional solvents.154–156
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| Fig. 12 Comparison of gas separation performance of membranes fabricated using Tamisolve® NxG versus conventional solvents, benchmarked against the Robeson upper bound of (a) O2/N2 selectivity to O2 permeability, (b) CO2/N2 selectivity to CO2 permeability, and (c) CO2/CH4 selectivity to CO2 permeability. Reproduced from ref. 23 with permission Elsevier B.V., copyright 2023. | ||
For gas separation, Ortiz-Albo et al. employed a hybrid phase inversion method using Polarclean to fabricate self-standing Pebax®1074 membranes at polymer concentrations of 11, 16, and 20 wt%.139 The resulting membranes exhibited gas separation performance comparable to those prepared with NMP. Increased polymer concentration led to higher crystallinity, reducing CO2 permeability due to the formation of a more rigid matrix. Notably, the membrane fabricated with 16 wt% polymer achieved a CO2 permeability of ∼150 barrer and a CO2/N2 selectivity of ∼45, approaching the 2008 Robeson upper bound. This demonstrated the feasibility of replacing NMP with Polarclean in Pebax®1074-based gas separation membranes.
Bridge et al. prepared defect-free asymmetric PSf membranes for gas separation using Cyrene™ and tetrahydrofuran (THF) as solvents via the NIPS technique.148 They reported that Cyrene™ effectively suppressed macrovoid formation and produced a rigid, interconnected porous sublayer, unlike membranes prepared using DMAc. Although the gas selectivity of the resulting membranes was slightly reduced, it remained within acceptable limits. Among the membranes developed, the PSf/Cyrene™/THF/EtOH (0.2/0.45/0.19/0.16) membrane with a drying step of less than 10 s achieved the highest H2/CO2 selectivity of 2.5 and H2 permeance of 115 barrer.
Using Matrimid® as the polymer, Bridge et al. further explored the development of defect-free asymmetric membranes for gas separation.147 A similar suppression of macrovoid formation was observed when using Cyrene™ as the solvent. The membrane prepared with 14 wt% Matrimid® and a 5 s drying time exhibited the highest H2/CO2 selectivity of 4.1 and an H2 permeance of 149 GPU at 10 bar. This result outperformed their previous results using PSf and DMAcfor H2/CO2 separation.
DMSO is recognized as a viable solvent for various polymers, including PVDF, PES, polyimide, PAN, PBI, poly(amide-imide) (PAI), CA and poly(vinylpyrrolidone) (PVP).25 Marino et al. validated the use of DMSO EVOL™ as an alternative to NMP for PES membrane fabrication via phase inversion.159 Pore forming polymers such as PVP, Pluronic®, polyethylene glycol (PEG) were utilized, resulting in membranes with enhanced pore size and thickness. Specifically, membranes incorporating PVP/PEG exhibited PWPs ranging from 2000 to 7700 LMH per bar, while those with Pluronic®/PEG reached 3500 to 13
200 LMH per bar. PVP-incorporating membranes also demonstrated superior mechanical properties and thickness compared to Pluronic®-based ones, reinforcing the suitability of DMSO as a substitute for NMP. Similarly, Foong et al. demonstrated that DMSO could replace NMP when fabricating PSf membranes using gum Arabic (GA) as an additive.160 The DMSO-based PSf membranes exhibited comparable PWP to those made with NMP, while maintaining excellent dye rejection (e.g., 84.84%), PWP (e.g., 8.63 LMH) and flux recovery ratio (FRR) (e.g., 93.29%); this was attributed to increased porosity and pore size.
Ong et al. further applied DMSO in the preparation of PSf MMMs using graphene oxide (GO) as nanofillers.161 The inclusion of GO up to 1 wt% loading enhanced membrane porosity, though aggregation at 2 wt% reduced the performance. The optimal membrane with 0.5 wt% GO achieved a PWP of 76.1 LMH, humic acid rejection of 53.5%, and an FFR of 96.2%.
For solvent-resistant membrane applications in dye and pharmaceutical separations, Alqadhi et al. dissolved poly(ether-ether-ketone) (PEEK) in Tamisolve® NxG.162 Cross-linking improved membrane stability up to 15 days at 30 bar. The membranes demonstrated MWCO values of 540 to 768 g mol−1 and effectively separated roxithromycin with 99.8% rejection from impurities with minimal API loss during diafiltration. In other work, Jiang et al. employed Tamisolve® NxG to develop TFC membranes using PES as the substrate polymer and PEG as a pore-forming agent.38 Pure water permeability (PWP) measurements for both TFC membranes were performed using a lab-scale dead-end filtration cell at room temperature under an applied pressure of 10 bar and the study was carried out together with membranes prepared with NMP, DMF and DMAc. HSP confirmed the affinity between PES and Tamisolve® NxG. The PES/Tamisolve® NxG/PEG (12/58/30) membrane exhibited the best PWP of 3.54 LMH per bar and NaCl rejection of 92.6%, due to increased porosity and surface roughness resulting from the lower PES concentration and higher PEG content.
To increase hygroscopicity for water vapour absorption, Marino et al. developed UF and MFPES membranes using Polarclean combined with PVP and PEG via NIPS and VIPS techniques.31 Sponge-like membranes with bi-continuous morphologies were obtained by adjusting the polymer and additive contents, and air exposure time. Wang et al. applied NIPS using Polarclean for PSf and CA membranes for desalination.13 PSf membranes achieved a PWP of 314.5 LMH per bar with 98.1% BSA rejection, while CA membrane exhibited a PWP of 1.5 LMH per bar and NaCl and MgCl2 rejection of 85.1% and 93.2%, respectively.
Hassankiadeh et al. prepared PVDF hollow fiber membranes using Polarclean via TIPS and NIPS methods.142 Additives including PVP, poly(methylmethacrylate) (PMMA) and glycerol were incorporated, with PVP enhancing porosity up to 80% and the PWP to 1152 kg m−2 h bar. In another study, Ursino et al. utilized Polarclean with PVP and PEG to fabricate MFPES hollow fiber membranes via NIPS.163 The highest PWP of 1340 LMH per bar was observed with 18 wt% PES, 40 wt% additives, and a bore fluid composition of H2O/Polarclean (85/15), due to the larger pore size and thinner membrane.
Zou et al. developed a PVDF/PSf membrane using Polarclean and grew an inorganic layer of TiO2 and Al2O3in situ using Pluronic L61 for dispersion.164 This increased the tensile strength from 1.5 MPa to 9.2 MPa, improved the BSA rejection to ∼95%, and enhanced the anti-fouling properties. Later, the same group modified these membranes using tributyl O-acetyl citrate as the coating fluid and PEG as a bore fluid for ginseng extraction and water desalination.165 Although a high ginseng rejection of 99.96% was achieved, the membrane demonstrated low stability, and its applicability for desalination was limited due to its hydrophobic nature. Fluorination and Hyflon modification improved the membrane hydrophobicity, enabling 99.99% salt rejection in direct contact membrane distillation (DCMD) using 0.1 mM sodium dodecyl sulfate (SDS).
Similarly, the chemically recyclable aliphatic polyester (P(4,5-T6GBL)) TFC membrane fabricated by Hardian et al. using Polarclean as the casting solvent showed outstanding long-term stability during continuous operation.166 In a 96 h cross-flow NF test using a 2 g L−1 Na2SO4 solution at 6 bar and 25 ± 1 °C, the membrane maintained a consistent water flux of 19.5 L m−2 h−1 and a salt rejection of 98.1%, with negligible variation over time. These results highlight the high durability, mechanical integrity, and chemical resistance of the membrane, validating Polarclean as a green and effective alternative to conventional toxic solvents for fabricating stable NF membranes suitable for prolonged operational use.
Zhu et al. fabricated a Janus MHP/PEBA membrane using the green solvent Cyrene™.167 The membrane exhibited excellent permeate flux stability during 12 h of cross-flow filtration cycles alternating between pure water and secondary wastewater effluent. It also maintained a high removal efficiency (up to 100% for target pharmaceuticals and personal care products) and over 85% reusability after six adsorption–desorption cycles, with 32% reduction in mechanical strength. These results demonstrate the robust durability and operational stability of the Cyrene™-based membrane under realistic conditions.
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| Fig. 13 (a) Rejection of anionic dyes and magnesium sulfate by CA hollow fiber membranes prepared with Agnique® AMD 3 L. Reproduced from ref. 168 with permission from American Chemical Society, copyright 2023. (b) and (c) SEM images of the cross-sectional morphology of PES hollow fiber membranes prepared with Agnique® AMD 3 L. Reproduced from ref. 169 with permission from Wiley Periodicals LLC, copyright 2021. | ||
Agnique® AMD 3 L also showed great potential as a green solvent in the fabrication of PES hollow fiber membranes via the NIPS process. Compared to the conventional solvent N-ethyl-2-pyrrolidone (NEP), Agnique® AMD 3 L exhibited a higher affinity for water and a lower affinity for PES, leading to faster phase separation.169 This resulted in membranes with larger pore sizes and higher porosity, which contributed to a PWP of up to 406.9 kg m−2 h−1 bar−1, attributed to their open and sponge-like structures (Fig. 13(b) and (c)). For PESU ultrafiltration membranes, Agnique® AMD 3 L enabled the fabrication of membranes with hydraulic permeability up to 610 kg m−2 h−1 bar−1 and MWCO values up to 20 kDa, comparable to membranes prepared using conventional solvents like NMP and DMAc.35 Additionally, membranes fabricated with Agnique® AMD 3 L retained significantly lower levels of residual solvent, thereby reducing the need for extensive post-treatment and enhancing safety for applications in drinking water purification and haemodialysis.
Regarding support synthesis, Ziobrowski and Rotkegel impregnated 1-ethyl-3-methylimidazolium acetate ([EMIM][Ac]) in the nanopores of ceramic supports in commercial PDMS and MF membranes for CO2/N2 separation.182 The ceramic-supported PDMS coated with [EMIM][Ac] surpassed the Robeson upper bound, exhibiting a superior selectivity of up to 152.0, outperforming the [EMIM][Ac]/PDMS membrane prepared via the soaking method. In contrast, the MF membrane impregnated with IL demonstrated significantly lower separation performance due to insufficient pore coverage, leading to IL loss.
ILs have been used not only as solvents but also as raw materials and chemical or physical modifiers in membrane fabrication. Chen et al. reported that dissolving various polymers (e.g., PES, PVDF, polyamide) in ILs to fabricate ionic liquid–polymer membranes (ILPMs) addressed the stability issue encountered in supported ionic liquid membranes (SILMs).183 Embedding ILs into the polymer matrix enhances membrane permeability and selectivity, especially when functionalized ILs are used. Additionally, membranes prepared through physical blending or chemical grafting of ILs with polymers from free-standing and mechanically robust films do not require additional support layers. Interestingly, Zou et al. found that incorporating ILs into PES altered the phase separation mechanism, creating porous morphologies that were typically unattainable using conventional organic solvents.25
Shafie et al. highlighted the potential of ILs in polymeric membranes for CO2 capture owing to their high CO2 affinity.184 Incorporating ILs increases the free fractional volume (FFV) of the membrane, improving gas diffusivity and creating more sorption sites. Higher IL loading enhances CO2 solubility by increasing the solubility coefficient. Mannan et al. reported superior membrane performance when 1-ethyl-3-methyl imidazolium bis(trifluoromethylsulfonyl)imide ([EMIM][Tf2N]) was incorporated into PES.185 A membrane with 50% [EMIM][Tf2N] loading exhibited a CO2/CH4 selectivity of 49.0 and CO2 permeability of 355.7 barrer, validating the benefits of IL incorporation for gas separation.
Shafie et al. also discussed the incorporation of ILs in MMMs, where ILs enhanced the gas separation efficiency through improved interactions between the polymer and inorganic phase.184 ILs contribute additional FFV, thereby increasing membrane permeability. The fabrication of IL MMMs involves more steps than conventional polymeric membranes, including dispersing inorganic particles in a solvent, sonication, priming and stirring, casting the dope solution, and drying.156Fig. 11(d) illustrates the schematic process for preparing IL MMMs. Cardoso et al. investigated membranes containing 10 to 40 wt% [EMIM][Tf2N] in PES/SAPO-34 MMMs.186 The optimum membrane performance was observed at 20 wt% IL loading, yielding a CO2/N2 selectivity of 39.4 and CO2 permeability of 2.1 barrer. Increasing the IL loading from 10 to 20 wt% enhanced the selectivity by reducing the free volume available for N2, thus favoring CO2 transport. Nevertheless, further increases in IL concentration led to a decline in selectivity, attributed to increased polymer chain mobility, which raised the permeability of both CO2 and N2. The findings confirm that the incorporation of ILs into MMMs can significantly enhance the membrane performance for gas separation.
Shah Buddin et al. explored two modification approaches for ZIF-L-based PES MMMs using 1-butyl-3-methylimidazolium tetrafluoroborate ([BMIM][BF4]) IL via (i) pre-modification, whereby ZIF-L was treated with the IL before incorporation into PES, and (ii) post-modification, where the IL was introduced after the formation of PES/ZIF-L MMMs.187 The pre-modified PES/ZIF-L MMM exhibited an improved gas separation performance at 0.75 wt% IL loading with the CO2 permeability increasing by 867%, and CO2/N2 and CO2/CH4 selectivities of 30.1 and 21.8, respectively. This is attributed to reduced interfacial voids and a strong affinity between the IL and CO2. In contrast, post-modification led to disrupted polymer chains, enhancing permeability but reducing selectivity.
Patil et al. investigated the CO2/CH4 separation performance of SILMs composed of Pebax-1657 and [BMIM][Ac].188 Due to the higher interaction energy of CO2 with [BMIM][Ac] compared to CH4, CO2-dominated permeation was observed. Among membranes containing 0–20 wt% IL, the Pebax membrane with 20 wt% IL demonstrated a superior separation performance in both single and mixed gas permeation tests. At 2.5 bar during mixed gas testing, this membrane exhibited a 52% increase in CO2 permeability and a 78% improvement in CO2/CH4 selectivity over pristine Pebax, approaching the Robeson upper bound (Fig. 15(a) and (b)). However, the poor miscibility of ILs in the polymer matrix at high loadings adversely affected the mechanical stability due to structural inhomogeneity.189–191
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| Fig. 15 (a) CO2 permeability and (b) CO2/CH4 selectivity of [BMIM][Ac]/Pebax-1657 SILMs. Reproduced from ref. 188 with permission from Elsevier B.V., copyright 2023. (c) Top view of the bilayer COF membrane incorporating [BMIM][BF4], (d) CO2/N2 permeability and selectivity as a function of IL thickness. Reproduced from ref. 192 with permission from the Royal Society of Chemistry, copyright 2022. (e) SO2 permeability and (f) SO2/N2 selectivity of PVDF/DES blended membranes. Reproduced from ref. 193 with permission from Elsevier B.V., copyright 2023. | ||
A 2D-COF-based SILM was developed for CO2/N2 separation, exceeding the Robeson upper bound.192 The membrane utilized [BMIM][BF4] as the IL and NUS-2 as the covalent organic framework (COF) (Fig. 15(c)). The [BMIM][BF4] layer imparted a gating effect, enabling selective CO2 adsorption and permeation while hindering N2 transport. Among membranes with varying IL thicknesses (e.g., 4, 8, 12, and 16 Å), the bilayer COF-SILM with an 8 Å IL exhibited optimal performance (Fig. 15(d)). Thicker IL layers increased the gas transport resistance, reducing CO2 permeability, while monolayer COFs and 4 Å ILs failed to sufficiently expose COF pores, resulting in lower selectivity. The optimized membrane thus offers promising potential for efficient CO2/N2 separation.
Zhang et al. further explored PVDF membranes incorporating a DES composed of 1-butyl-3-methyl-imidazolium bromide ([BMIM]Br) and diethylene glycol (DEG) for SO2 separation.193 The inclusion of the DES significantly enhanced the SO2/CO2/N2 separation performance (Fig. 15(e) and (f)). Compared to pristine PVDF membranes with SO2 permeability of 3.2 barrer, the PVDF/DES (1
:
1) membrane achieved a remarkable SO2 permeability of 17
480 barrer. Moreover, the [BMIM]Br
:
DEG molar ratio influenced selectivity, with a 2
:
1 ratio yielding outstanding SO2/N2 and SO2/CO2 selectivity of 8109 and 344, respectively. These results confirm the high potential of PVDF/DES membranes for selective SO2 separation.
Saif-ur-Rehman et al. explored the feasibility of incorporating DESs to functionalize fillers when fabricating DES-SBA-15/PSf MMMs for CO2 separation.194 The SBA-15 fillers were functionalized through a solvent evaporation technique using a DES synthesized from choline chloride and decanoic acid. Among the membranes with DES-SBA-15 loadings ranging from 0 to 20 wt%, the 20 wt% DES-SBA-15 MMM demonstrated the highest CO2/CH4 and CO2/N2 separation performance; this was attributed to increased porosity. This membrane achieved a CO2 permeability of 22.3 barrer with CO2/CH4 and CO2/N2 selectivities of 57.1 and 59.9, respectively. The improved performance was attributed to the DES-functionalized SBA-15 introducing uniformly distributed small pores and enhancing CO2-specific interactions with the PSf matrix.
In a related study, Saif-ur-Rehman et al. reported enhanced CO2 separation using DES–ceria as fillers in PSf MMMs, compared to a pristine PSf membrane.195 The DES–ceria nanoparticles were synthesized by mixing cerium oxide with a DES at an 8
:
1 weight ratio in ethanol, followed by solvent evaporation. The membrane with 8 wt% DES–ceria achieved the best mixed-gas separation performance among the 0–8 wt% loadings, with CO2 permeability of 16.3 barrer and CO2/CH4 and CO2/N2 selectivities of 35.4 and 39.3, respectively, approaching the Robeson 2008 upper bound. The enhancement was attributed to the interactions between the amine groups and carboxyl groups in the DES–ceria and CO2 molecules.
Craveiro et al. explored supported liquid membranes (SLMs) (Fig. 11(c)) using polytetrafluoroethylene (PTFE) supports and DES formulations comprising choline chloride (ChCl) as a HBA and urea, glycerol, ethylene glycol, or oxalic acid as HBDs.196 Carbonic anhydrase (CA*), an enzyme that catalyzed the conversion of CO2 into bicarbonate, was incorporated to enhance CO2 sorption. However, CA* reduced CO2 solubility in ChCl
:
glycerol, ChCl
:
ethylene glycol, and ChCl
:
oxalic acid DESs due to their high acidity. In constrast, ChCl
:
urea stabilized CA* via hydrogen bonding with the enzyme surface, enhancing both its stability and CO2 solubility. Overall, the DES SLMs generally increased CO2 permeability, although gas selectivity improvements were limited; only ChCl
:
oxalic acid showed enhanced selectivity after CA* incorporation. Notably, the ChCl
:
urea PTFE membrane without CA* surpassed the Robeson upper bound for CO2/CH4 separation, achieving a selectivity of around 90 and CO2 permeability of 100 barrer, indicating strong potential for gas separation applications.
In another study, Saeed et al. incorporated DESs derived from betaine as the HBA with glycerol, ethylene glycol, and urea as the HBDs into microporous PVDF membranes.197 Betaine was selected for its sustainability, low toxicity, and biodegradability. A 1
:
3 molar ratio of betaine
:
urea exhibited enhanced CO2/CH4 separation, with a CO2 permeability of 35.6 barrer and a selectivity of 57.5, outperforming the betaine
:
glycerol system. This improvement was primarily attributed to the strong CO2 affinity of the betaine
:
urea DES. Both betaine
:
urea and betaine
:
glycerol SLMs exhibited thermal stability up to 200 °C because of strong hydrogen bonding between the HBA and HBD. These DESs offer a promising, greener alternative to conventional ILs in SLMs, with performances approaching the Robeson upper bound.
O groups in the DESs. However, DES-modified membranes also exhibited smoother surfaces, which reduced the effective filtration area and water flux. In other work, Russo et al. successfully incorporated benzyl-trimethylammonium mesylate/p-toluenesulphonic acid monohydrate (PTSA/TBnA MsO) DES and phenyl acetic acid/trimethyl glycine (PhAA/TMG) NADES as organic solvents for PVDF membrane fabrication.199 For PAN membranes, sulfobetaine-based DESs were used, including (1S)-(+)-10-camphorsulfonic acid/(3-(1-methyl-1H-imidazole-3-ium-3-yl)propane-1-sulfonate) ((+)CSA/SB3-MIM) and (1S)-(+)-10-camphorsulfonic acid/3-(N,N-dimethybutylammonio)propane-1-sulfonate ((+)CSA/SB3-4). Due to the inherently high viscosity of DESs, co-solvents such as water and polar aprotic solvents (e.g., TEP) were employed to facilitate membrane casting by reducing the solution viscosity. Among the PVDF membranes fabricated, the one prepared using PhAA/TMG as the DES and TEP as a co-solvent exhibited the highest PWP of 3243 LMH per bar. Additionally, the membrane synthesized using PTSA/TBnA MsO as the DES and TEP as the co-solvent showed the highest methylene blue rejection of 76%, which was ascribed to its variable pore size distribution.
ILs and DESs offer tunable physicochemical properties and have shown significant promise in membrane separation processes. However, their practical implementation in continuous or large-scale operations requires several key challenges to be addressed. Recyclability and recovery of ILs and DESs remain active areas of research. ILs, especially those with a low vapor pressure, can be recovered through vacuum distillation, solvent extraction, or membrane-based separation while hydrophilic ILs may also be recovered using aqueous two-phase systems (ATPS).200 For DESs, membrane filtration has emerged as a non-thermal recovery method, often facilitated by dilution with water, ethanol, or acetone to reduce viscosity and improve processability.201 High viscosity is a current limitation for both ILs and DESs, as it adversely affects mass transfer and permeation rates in membrane systems. Strategies such as dilution or the use of ultrafiltration configurations can help mitigate these issues and enhance separation efficiency.202 The diffusion behaviour of solutes in IL or DES systems is highly dependent on solvent viscosity and solute–solvent interactions, which directly influence transport dynamics through the membrane matrix.203 In terms of leaching and retention, ILs typically exhibit strong retention within membrane pores due to their negligible vapor pressure; this enhances membrane stability and enables selective separation via tailored IL–solute interactions.204 On the other hand, DESs are increasingly used as solvents, additives, or pore formers during membrane fabrication, modifying the membrane structure and affecting properties such as porosity and pore size. DES-based SLMs have also shown promise for gas separation, although stability and long-term performance remain critical concerns.205 Overall, while ILs and DESs demonstrate strong potential in lab-scale applications, further studies are required to validate their stability, recyclability, and transport behaviour under industrial or continuous operation conditions.
:
1.5
:
1 (saturated:monounsaturated:polyunsaturated) recommended by the World Health Organization (WHO).210,211 Owing to its high viscosity, RBO significantly enhances the stability of green emulsion liquid membranes (GELMs), exhibiting the highest static stability of 120 min among various tested vegetable oils, including olive, groundnut, soyabean, sunflower, coconut and mustard oils.212 This superior static stability allows for extended extraction times and promotes efficient separation between the membrane and internal phases during the emulsion process. Derived from the inner rice husk, RBO offers several favorable attributes such as being non-toxic, cost-effective, readily available, and possessing a high smoke point. Physically, RBO has a density of 910 g L−1, a refractive index of 1.467, and an absolute viscosity of 59.3 cP.211 Additionally, it naturally contains bioactive compounds such as oryzanol, polycosanol, and ferulic acid, which act as surface-active agents. These molecules reduce interfacial tension between the aqueous and oil phases, prevent droplet coalescence, and thereby contribute to enhanced emulsion stability.210–212
Palm oil demonstrated excellent performance as a green and sustainable membrane phase in ELM applications. In a study focused on Cr(VI) removal from wastewater, palm oil was used with Span 80 (e.g., as a surfactant) and bis(2-ethylhexyl) phosphate (e.g., as a carrier). The system achieved effective emulsion stabilization and high Cr(VI) removal efficiency. Optimal operating conditions included a TOMAC concentration of 0.4 M, NaOH stripping agent at 0.3 M, and agitation speed of 8000 rpm, which led to substantial Cr(VI) recovery. The use of palm oil not only enhanced the stability and efficiency of the ELM system but also aligned with eco-friendly practices due to its biodegradability and low toxicity.224 In a continuous emulsion liquid membrane (CELM) process for phenol recovery, palm oil combined with Span 80 (e.g., as a surfactant) and sodium hydroxide (e.g., as a stripping agent) also exhibited outstanding performance. Under optimal conditions, including a rotational speed of 527 rpm, a treat ratio of 1
:
4, and a retention time of 2.6 min, the system achieved nearly 100% phenol recovery and a sevenfold (e.g., 2100 ppm) enrichment in the internal phase.225 These findings emphasize the efficacy and sustainability of palm oil as a replacement for conventional solvents in ELM applications, particularly in effluent treatment.
RBO has demonstrated exceptional potential as a green and sustainable diluent in ELM systems. In combination with Span 80 (e.g., as a surfactant) and NaOH (e.g., as a stripping agent), RBO achieved a dynamic emulsion stability of up to 150 min with less than 1% membrane breakage. Optimal conditions, including an emulsification speed of 2100 rpm, 2% Span 80 concentration, and a treat ratio of 1
:
3.5, ensured stable emulsion formation and enhanced performance. Additionally, RBO has proved effective as a green solvent in the green emulsion ionic liquid membrane (GEILM) system for the extraction of lactic acid (LA), achieving a 90% extraction efficiency and a static emulsion stability of 90 min.211 Owing to its natural composition, biodegradability, and low toxicity, RBO is considered a cost-effective and environmentally friendly solvent for ELM-based separations. These attributes make RBO particularly suitable for the sustainable extraction of low-concentration solutes in wastewater treatment and resource recovery.
Sunflower oil is another promising candidate for use as a green solvent in GELM systems. It has been employed effectively for the extraction of Cu(II) ions from aqueous solutions, achieving a Cu(II) extraction efficiency above 94% with stable emulsion durations of up to 130 min.220 Furthermore, sunflower oil has been explored for Cr(VI) recovery using ELMS, as depicted in Fig. 16(a). A study by Anarakdim et al. highlighted that sunflower oil, combined with surfactants such as polyglycerol polyricinoleate and Tween 80, could form stable water-in-oil emulsions with over 99% extraction efficiencies over a Cr(VI) concentration range of 0.043 to 50 ppm. The emulsions were efficiently demulsified using heat treatment at 80 °C for 2 h, achieving a demulsification efficiency of 96%. Importantly, DSC and FTIR analyses confirmed that the recovered oil retained its quality and could be reused up to four times without significant degradation or loss of performance.217 These results emphasized the potential of sunflower oil as a sustainable and cost-effective substitute for traditional petroleum-based solvents in ELM processes. Its biodegradability, renewability, and capacity for reuse offer both environmental and economic advantages in heavy metal remediation from industrial wastewater.
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| Fig. 16 (a) Schematic diagram illustrating Cr(VI) extraction using an ELM system with oil recovery via heat-induced demulsification. Reproduced from ref. 217 with permission from Elsevier B.V., copyright 2020. (b) Overview of AI-assisted solvent design strategies, covering the entire workflow from data collection to inverse molecular design, reproduced from ref. 226 with permission from American Chemical Society, copyright 2023. | ||
Wang et al. developed a universal deep-learning model, DeepH, that predicted density functional theory (DFT) Hamiltonians for a wide range of materials with high accuracy (mean absolute error: 2.2 meV).227 Their approach utilizes equivariant neural networks trained on a large database of materials containing 12
062 structures to simulate electronic properties, while overcoming the “gauge problem” in DFT through a novel gauge-invariant loss function. This enables efficient prediction of material behaviors, including solubility and intermolecular interactions, without the need for costly quantum computations. DeepH optimizes green solvent selection for membrane fabrication by simulating solvent–polymer affinity.
Graph neural networks (GNNs), revealed to be a powerful tool for atomic-level insights, are specifically designed for graph-structured data, where nodes represent entities (e.g., atoms or molecules) and edges represent relationships (e.g., chemical bonds). Unlike traditional methods, GNNs automatically capture complex interactions without extensive feature engineering, making them ideal for molecular system modeling. For instance, Ignacz et al. applied GNNs to analyze solute–solvent–membrane interactions in OSN, revealing how functional groups and molecular substructures influence membrane performance.228 In addition, AI-based optimization techniques have proved useful in membrane design and performance evaluation. Models such as genetic algorithm (GA), particle swarm optimization (PSO), and Bayesian optimization have been applied to optimize membrane configurations, operating parameters, and sustainability metrics.229 AI has also been proposed for use in both computational and experimental scientific discovery, where autonomous AI-driven experiments can replace traditional testing in membrane fabrication for water purification and gas separation.230
To identify suitable solvents for polymer dissolution, Chandrasekaran and co-workers compiled data on 4500 polymers and their corresponding solvents and non-solvents to train a deep neural network binary classifier.231 In their approach, polymers were represented using the simplified molecular-input line-entry system (SMILES), while solvent descriptors were used as additional inputs. The model predicts whether a solvent can dissolve a given polymer by evaluating the absolute difference in Hildebrand solubility parameters between the polymer and solvent, classifying solvents with differences below 2 MPa1/2 as suitable for dissolution. Sanchez-Lengeling et al. developed a Bayesian machine learning model based on Gaussian processes to predict HSPs for 193 solvents and 31 polymers using molecular access system (MACCS) keys and Morgan fingerprints as molecular descriptors. The model achieved prediction accuracies with R2 values ranging from 0.56 to 0.83.232 Moreover, Kern et al. trained random forests and multilayer perceptron neural networks on a dataset of 3373 polymers and 51 solvents, predicting room-temperature polymer–solvent solubility.233 Their polymer representations combined three hierarchical levels of descriptors (e.g., atomic triplets, chemical building blocks, and QSPR descriptors), while solvent representations used one-hot encoding or structural fingerprints, enabling accurate classification of polymer solubility in diverse solvents.
One of the primary limitations in applying AI to green solvent design and membrane development is data sparsity, particularly for novel solvents such as Cyrene™, NADESs, and DESs.234,235 Unlike conventional solvents such as NMP or DMF, which benefit from abundant experimental datasets, these greener alternatives often lack comprehensive, high-quality data covering key parameters such as polymer solubility, membrane morphology, toxicity, and environmental impact. This scarcity restricts the performance and generalizability of conventional data-driven models. To overcome this limitation, advanced AI approaches have incorporated techniques such as transfer learning, which leverages knowledge from well-characterized systems to make predictions in less-explored domains and data augmentation, where synthetic or simulated data are generated from molecular descriptors. Physics-informed machine learning, which integrates solubility theories or thermodynamic constraints into model architectures, is also gaining traction. Additionally, semi-supervised learning can exploit both labelled and unlabelled data to improve prediction accuracy. While these methods show considerable promise, the long-term success of AI in green solvent discovery will ultimately depend on improving data availability through systematic experimental reporting and the development of open-access databases.
Fig. 17 illustrates a general overview of the data-driven algorithm execution process.236 A typical data-driven model workflow comprises three essential components, namely data, representation, and model, which operate in two main phases: training and prediction. In the training phase, raw input data undergo pre-processing steps such as duplicate removal, normalization, dimensionality reduction, transformation, and feature data extraction and selection. The refined data are then used in the learning stage to develop a trained model, followed by error analysis to assess and optimize the performance. This structured approach enables the development of accurate, efficient, and real-time prediction models, with the quality and relevance of the input data being critical for generating reliable outputs.
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| Fig. 17 General overview of the data-driven algorithm execution process. Reproduced from ref. 236 with permission from Elsevier B.V., copyright 2023. | ||
To conclude this section, the various AI models discussed are summarized as a workflow in Fig. 18 for predicting green solvent–polymer compatibility in membrane fabrication. In general, an AI workflow begins with data input for model training. The trained AI model then generates the desired output through a structured learning process. Finally, the output is validated against experimental or benchmark data to ensure the reliability and accuracy of the AI model.237
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| Fig. 18 Schematic representation of the AI workflow for selecting green solvents in membrane fabrication. | ||
1. Esters such as GBL and TEP offer excellent polymer solubility and tunable properties for membrane fabrication. GBL has shown success in CO2-selective membranes, whereas TEP is a greener alternative for PVDF membrane synthesis. However, their scalability is constrained by high production costs and energy-intensive synthesis (e.g., GBL requires high-pressure conditions). Additionally, the lower solvent power in TEP compared to NMP may result in suboptimal membrane morphology, necessitating formulation optimization.
2. Among polar aprotic solvents, biomass-derived Cyrene™ stands out due to its low toxicity and strong solvating power, proving effective in polyimide and polysulfone membranes while mitigating macrovoid formation. However, its reliance on the hydrogenation of levoglucosenone may limit its availability. Similarly, while 2-MeTHF is biodegradable, its high volatility complicates the phase inversion processes. GVL holds promise for nanofiltration membranes but demands further functionalization to improve CO2 capture due to its low polarity restricting interactions with acidic gases.
3. Dipolar aprotic solvents such as DMSO are valued for their broad polymer compatibility and low toxicity, supporting their use in ultrafiltration and gas separation. However, the high boiling point of DMSO complicates solvent recovery. Alternatives like Tamisolve® NxG and Polarclean are excellent NMP replacements, but their high viscosity can lead to uneven pore formation during membrane fabrication.
4. Polar protic solvents, such as Agnique® AMD 3L, have demonstrated their potential in PES hollow fiber membranes, but solvent retention remains an issue, particularly in biomedical applications.
5. ILs and DESs provide highly customizable platforms, with ILs exhibiting strong chemisorption for CO2 capture. However, ILs face limitations including high synthesis costs, toxicity concerns, and recycling difficulties. DESs are more cost-effective and biodegradable but suffer from viscosity and thermal stability issues that hinder membrane processing. Emerging research into NADESs is promising, although industrial validation is still needed.
6. Biodegradable oils such as palm oil, RBO, and sunflower oil show potential in ELM applications for the extraction of heavy metals and organic pollutants. Palm oil and RBO enhance emulsion stability but exhibit high viscosities that slow mass transfer. Sunflower oil offers superior reusability (e.g., up to 4 cycles) but faces challenges in demulsification efficiency. The variable composition of these oils, dependent on source and harvest conditions, can lead to inconsistent separation performances.
7. A general solvent selection workflow that incorporates sustainability and solvent recovery considerations is proposed. First, evaluate solvent sustainability using established guides such as CHEM21, GSK solvent guide, and REACH classifications, and eliminate solvents with high toxicity or regulatory concerns. Next, perform polymer–solvent compatibility screening by calculating HSP and RED, selecting solvents with RED < 1. This is followed by solubility tests to assess the homogeneity and viscosity of dope solutions. Membrane fabrication and performance testing are then conducted. Finally, evaluate solvent recovery and carry out a comprehensive life cycle assessment (LCA) alongside an economic feasibility study.
1. Polymeric membranes are typically fabricated using solution-based methods such as NIPS or TIPS. These techniques are highly reliant on solvents for polymer dissolution, which significantly influences the resulting membrane. One of the key challenges in employing green solvents is the validation of solvent–polymer compatibility through HSP evaluation. Although green solvent membranes offer clear environmental benefits, concerns remain regarding the sustainability of green solvent production. Upstream emissions and high energy consumption during synthesis can offset their ecological benefits.238 This is particularly relevant for ILs and DESs, which often require elevated temperatures due to their inherent high viscosity, low conductivity, and limited diffusion, resulting in substantial energy usage.239
2. A broader range of green solvents that are characterized by low toxicity, biodegradability, and favorable solvation properties should be explored beyond those currently in use. Additional research into their compatibility with various polymer systems and processing techniques is essential to unlock their full potential for scalable membrane production.
3. Scalability remains a critical bottleneck when transitioning green solvent-based membranes from the laboratory to industrial applications. For commercialization, membranes must deliver a high separation performance, cost-effectiveness, desired separation performance, and long-term operational stability. SLMs limit mechanical stability due to pressure fluctuations, further impeding their large-scale application.
4. Economic viability is also a major consideration. ILs are generally more expensive than DESs, though some ILs can be synthesized via cost-effective acid–base reactions such as [MTBDH][TFE], [MTBDH][Im], [MTBDH][PhO], [MTBDH][TFPA], and [MTBDH][Pyrr], which minimize wastewater production and improve sustainability.239,240
5. In contrast, DESs are characterized by lower cost, scalability, and chemical inertness to water, making them easier to handle and store.241,242 They offer promising potential for CO2 capture applications due to their affordability and tunability. However, current research is insufficient to fully optimize DES structures for enhanced CO2 adsorption performance. Future work should focus on tailoring DES compositions to improve CO2 capture capabilities, paving the way for broader industrial adoption.241
6. To accelerate green solvent selection and membrane development, advanced artificial intelligence (AI) tools can be leveraged. These tools facilitate high-throughput screening of solvent candidates, reducing reliance on trial-and-error experimentation. Furthermore, AI can aid in guiding solvent design by identifying molecular modifications that enhance polymer dissolution while preserving eco-friendly characteristics. Additionally, cross-disciplinary collaboration between chemical engineers and computational scientists is crucial to accelerate the development of high-performance green solvent membranes.
7. The compatibility of green solvents with polymers directly influences membrane performance, lifespan, and fabrication costs. To fully assess their environmental and economic impacts, life cycle assessment (LCA) and techno-economic analysis (TEA) should be incorporated. Achieving membranes that combine excellent performance, low cost, scalability, and sustainability remains a significant challenge. Nevertheless, continued progress in green solvent research is essential to advance carbon reduction efforts and enhance the sustainability of membrane-based separation technologies.
8. The adoption of green solvents in membrane technology signifies not only an environmental necessity but also a technological advancement. While several barriers ranging from cost and scalability to physicochemical limitations remain, steady progress in developing bio-based, low toxicity alternatives signals a clear pathway toward sustainable separation processes. Strategic collaboration between industry, academia, and regulatory bodies combined with policy incentives and continued innovation will be crucial for transforming laboratory-scale successes into practical, industrial-scale applications, thereby aligning membrane technology with global sustainable development goals (SDGs).
Footnote |
| † Co-first authors. |
| This journal is © The Royal Society of Chemistry 2025 |