scholarly journals Arginine/Nanocellulose Membranes for Carbon Capture Applications

Nanomaterials ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 877 ◽  
Author(s):  
Davide Venturi ◽  
Alexander Chrysanthou ◽  
Benjamin Dhuiège ◽  
Karim Missoum ◽  
Marco Giacinti Baschetti
Keyword(s):  
Amino Acid ◽  
Carbon Capture ◽  
Aqueous Suspension ◽  
Nanofibrillated Cellulose ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Ideal Selectivity ◽  
High Amino Acid ◽  
Separation Of Co2

The present study investigates the influence of the addition of l-arginine to a matrix of carboxymethylated nanofibrillated cellulose (CMC-NFC), with the aim of fabricating a mobile carrier facilitated transport membrane for the separation of CO2. Self-standing films were prepared by casting an aqueous suspension containing different amounts of amino acid (15–30–45 wt.%) and CMC-NFC. The permeation properties were assessed in humid conditions (70–98% relative humidity (RH)) at 35 °C for CO2 and N2 separately and compared with that of the non-loaded nanocellulose films. Both permeability and ideal selectivity appeared to be improved by the addition of l-arginine, especially when high amino-acid loadings were considered. A seven-fold increment in carbon dioxide permeability was observed between pure CMC-NFC and the 45 wt.% blend (from 29 to 220 Barrer at 94% RH), also paired to a significant increase of ideal selectivity (from 56 to 185). Interestingly, while improving the separation performance, water sorption was not substantially affected by the addition of amino acid, thus confirming that the increased permeability was not related simply to membrane swelling. Overall, the addition of aminated mobile carriers appeared to provide enhanced performances, advancing the state of the art for nanocellulose-based gas separation membranes.

Plasticization resistant crosslinked polyurethane gas separation membranes

2016 ◽  
Vol 4 (44) ◽  
pp. 17431-17439 ◽  
Author(s):  
Ali Pournaghshband Isfahani ◽  
Behnam Ghalei ◽  
Kazuki Wakimoto ◽  
Rouhollah Bagheri ◽  
Easan Sivaniah ◽  
...  
Keyword(s):  
Gas Separation ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
High Separation ◽  
Separation Conditions

We generate crosslinked PU membranes that retain high separation performance and provide enhanced plasticization resistance under realistic industrial separation conditions.

scholarly journals Recent Progress in the Engineering of Polymeric Membranes for CO2 Capture from Flue Gas

Membranes ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 365
Author(s):  
Yang Han ◽  
Yutong Yang ◽  
W. S. Winston Ho
Keyword(s):  
Gas Separation ◽  
Co2 Capture ◽  
Flue Gas ◽  
Large Scale ◽  
Recent Progress ◽  
Scale Up ◽  
Polymeric Membranes ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes

CO2 capture from coal- or natural gas-derived flue gas has been widely considered as the next opportunity for the large-scale deployment of gas separation membranes. Despite the tremendous progress made in the synthesis of polymeric membranes with high CO2/N2 separation performance, only a few membrane technologies were advanced to the bench-scale study or above from a highly idealized laboratory setting. Therefore, the recent progress in polymeric membranes is reviewed in the perspectives of capture system energetics, process synthesis, membrane scale-up, modular fabrication, and field tests. These engineering considerations can provide a holistic approach to better guide membrane research and accelerate the commercialization of gas separation membranes for post-combustion carbon capture.

scholarly journals Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning

2021 ◽  
Author(s):  
Jason Yang ◽  
Lei Tao ◽  
Jinlong He ◽  
Jeffrey McCutcheon ◽  
Ying Li
Keyword(s):  
Machine Learning ◽  
Polymer Membranes ◽  
Polymeric Membranes ◽  
Gas Separations ◽  
Separation Performance ◽  
High Fidelity ◽  
Environmental Implications ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Dynamics Simulations

Polymer membranes perform innumerable separations with far-reaching environmental implications. Despite decades of research on membrane technologies, design of new membrane materials remains a largely Edisonian process. To address this shortcoming, we demonstrate a generalizable, accurate machine-learning (ML) implementation for the discovery of innovative polymers with ideal separation performance. Specifically, multitask ML models are trained on available experimental data to link polymer chemistry to gas permeabilities of He, H2, O2, N2, CO2, and CH4. We interpret the ML models and extract chemical heuristics for membrane design, through Shapley Additive exPlanations (SHAP) analysis. We then screen over nine million hypothetical polymers through our models and identify thousands of candidates that lie well above current performance upper bounds. Notably, we discover hundreds of never-before-seen ultrapermeable polymer membranes with O2 and CO2 permeability greater than 104 and 105 Barrer, respectively, orders of magnitude higher than currently available polymeric membranes. These hypothetical polymers are capable of overcoming undesirable trade-off relationship between permeability and selectivity, thus significantly expanding the currently limited library of polymer membranes for highly efficient gas separations. High-fidelity molecular dynamics simulations confirm the ML-predicted gas permeabilities of the promising candidates, which suggests that many can be translated to reality.

scholarly journals Polyvinylnorbornene Gas Separation Membranes

Polymers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 704 ◽  
Author(s):  
Wouter Dujardin ◽  
Cédric Van Goethem ◽  
Julian A. Steele ◽  
Maarten Roeffaers ◽  
Ivo F. J. Vankelecom ◽  
...  
Keyword(s):  
Gas Separation ◽  
Chemical Resistance ◽  
Fine Tuning ◽  
Gas Separations ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Addition Polymerization ◽  
Wide Range ◽  
Gas Separation Performance

Polynorbornenes are already used in a wide range of applications. They are also considered materials for polymer gas separation membranes because of their favorable thermal and chemical resistance, rigid backbone and varied chemistry. In this study, the use of 5-vinyl-2-norbornene (VNB), a new monomer in the field of gas separations, is investigated by synthesizing two series of polymers via a vinyl-addition polymerization. The first series investigates the influence of the VNB content on gas separation in a series of homo and copolymers with norbornene. The second series explores the influence of the crosslinking of polyvinylnorbornene (pVNB) on gas separation. The results indicate that while crosslinking had little effect, the gas separation performance could be fine-tuned by controlling the VNB content. As such, this work demonstrates an interesting way to significantly extend the fine-tuning possibilities of polynorbornenes for gas separations.

Synthesis and properties of highly processable asymmetric polyimides with bulky phenoxy groups

2019 ◽  
Vol 32 (4) ◽  
pp. 455-468
Author(s):  
Mario Rojas-Rodríguez ◽  
Carla Aguilar-Lugo ◽  
Angel E Lozano ◽  
Antonio Hernández ◽  
Enoc Mancilla-Cetina ◽  
...  
Keyword(s):  
Volume Fraction ◽  
Gas Permeability ◽  
High Thermal Stability ◽  
Phenoxy Group ◽  
Separation Membranes ◽  
Permeability Enhancement ◽  
Gas Separation Membranes ◽  
Ideal Selectivity ◽  
Free Volume Fraction ◽  
One Step

A series of new aromatic polyimides (PIs) and co-PIs containing bulky tert-butyl phenoxy group was synthesized by one-step high-temperature polycondensation of 1,3-diamino-4-(4′- tert-butylphenoxy)benzene ( tBuPDAB) with different commercially available aromatic dianhydrides. The polymers were obtained in quantitative yields with inherent viscosities of 0.40–0.70 dL g−1. They exhibited high thermal stability with 10% weight loss above 480°C and were cast in films with good mechanical properties capable to be tested as gas separation membranes. These PIs were compared with analogs bearing phenoxy group (PDAB). The incorporation of tBu improved the solubility of the PIs, their free volume fraction, d-spacing, and gas permeability coefficients in comparison with their analogs obtained from PDAB. The permeability enhancement was from 2.5 to 8 times depended on the gas tested. The PI, based on tBuPDAB and 4,4’-(hexafluoroisopropylidene)diphtalic anhydride and, thus, containing two different bulky pendant groups, showed the highest gas permeability coefficient for CO2 (58.3 Barrer) and moderate ideal selectivity to the gas pair CO2/CH4 ( α = 18.0).

scholarly journals Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning

2021 ◽  
Author(s):  
Jason Yang ◽  
Lei Tao ◽  
Jinlong He ◽  
Jeffrey R. McCutcheon ◽  
Ying Li
Keyword(s):  
Machine Learning ◽  
Polymer Membranes ◽  
Upper Bounds ◽  
Gas Separations ◽  
Separation Performance ◽  
High Fidelity ◽  
Environmental Implications ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Dynamics Simulations

Abstract Polymer membranes perform innumerable separations with far-reaching environmental implications. Despite decades of research on membrane technologies, design of new membrane materials remains a largely Edisonian process. To address this shortcoming, we demonstrate a generalizable, accurate machine-learning (ML) implementation for the discovery of innovative polymers with ideal separation performance. Specifically, multitask ML models are trained on available experimental data to link polymer chemistry to gas permeabilities of He, H2, O2, N2, CO2, and CH4. We interpret the ML models and extract chemical heuristics for membrane design, through Shapley Additive exPlanations (SHAP) analysis. We then screen over nine million hypothetical polymers through our models and identify thousands of candidates that lie well above current performance upper bounds. Notably, we discover hundreds of never-before-seen ultrapermeable polymer membranes with O2 and CO2 permeability greater than 104 and 105 Barrer, respectively. These hypothetical polymers are capable of overcoming undesirable trade-off relationship between permeability and selectivity, thus significantly expanding the currently limited library of polymer membranes for highly efficient gas separations. High-fidelity molecular dynamics simulations confirm the ML-predicted gas permeabilities of the promising candidates, which suggests that many can be translated to reality.

MXene-based gas separation membranes with sorption type selectivity

2021 ◽  
Vol 621 ◽  
pp. 118994
Author(s):  
D.I. Petukhov ◽  
A.S. Kan ◽  
A.P. Chumakov ◽  
O.V. Konovalov ◽  
R.G. Valeev ◽  
...  
Keyword(s):  
Gas Separation ◽  
Separation Membranes ◽  
Gas Separation Membranes
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