2024
|
Leng, Xuanye; Chen, Siyu; McCuskey, Samantha R; Zhang, Yixin; Chan, Samuel J W; Quek, Glenn; Costa, Mariana C F; Zhang, Pengxiang; Wu, Jiqiang; Nikolaev, Konstantin G; Bazan, Guillermo C; Novoselov, Kostya S; Andreeva, Daria V DNA-rGO Aerogel Bioanodes with Microcompartmentalization for High-Performance Bioelectrochemical Systems ADVANCED ELECTRONIC MATERIALS, 2024, DOI: 10.1002/aelm.202400137. Abstract | BibTeX | Endnote @article{ISI:001217766900001,
title = {DNA-rGO Aerogel Bioanodes with Microcompartmentalization for High-Performance Bioelectrochemical Systems},
author = {Xuanye Leng and Siyu Chen and Samantha R McCuskey and Yixin Zhang and Samuel J W Chan and Glenn Quek and Mariana C F Costa and Pengxiang Zhang and Jiqiang Wu and Konstantin G Nikolaev and Guillermo C Bazan and Kostya S Novoselov and Daria V Andreeva},
doi = {10.1002/aelm.202400137},
times_cited = {0},
issn = {2199-160X},
year = {2024},
date = {2024-05-10},
journal = {ADVANCED ELECTRONIC MATERIALS},
publisher = {WILEY},
address = {111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
abstract = {Bioelectrochemical systems (BES) have garnered significant attention for their applications in renewable energy, microbial fuel cells, biocatalysis, and bioelectronics. In BES, bioelectrodes are used to facilitate extracellular electron transfer among microbial biocatalysts. This study is focused on enhancing the efficiency of these processes through microcompartmentalization, a technique that strategically organizes and segregates microorganisms within the electrode, thereby bolstering BES output efficiency. The study introduces a deoxyribonucleic acid (DNA)-based reduced graphene oxide (rGO) aerogel engineered as a bioanode to facilitate microorganism compartmentalization while providing an expanded biocompatible surface with continuous conductivity. The DNA-rGO aerogel is synthesized through the self-assembly of graphene oxide and DNA, with thermal reduction imparting lightweight structural stability and conductivity to the material. The DNA component serves as a hydrophilic framework, enabling precise regulation of compartment size and biofunctionalization of the rGO surface. To evaluate the performance of this aerogel bioanode, measurements of current generation are conducted using Shewanella oneidensis MR-1 bacteria as a model biocatalyst. The bioanode exhibits a current density reaching up to 1.5 A.m(-2), surpassing the capabilities of many existing bioanodes. With its abundant microcompartments, the DNA-rGO demonstrates high current generation performance, representing a sustainable approach for energy harvesting without reliance on metals, polymers, or heterostructures.},
keywords = {},
pubstate = {published},
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Bioelectrochemical systems (BES) have garnered significant attention for their applications in renewable energy, microbial fuel cells, biocatalysis, and bioelectronics. In BES, bioelectrodes are used to facilitate extracellular electron transfer among microbial biocatalysts. This study is focused on enhancing the efficiency of these processes through microcompartmentalization, a technique that strategically organizes and segregates microorganisms within the electrode, thereby bolstering BES output efficiency. The study introduces a deoxyribonucleic acid (DNA)-based reduced graphene oxide (rGO) aerogel engineered as a bioanode to facilitate microorganism compartmentalization while providing an expanded biocompatible surface with continuous conductivity. The DNA-rGO aerogel is synthesized through the self-assembly of graphene oxide and DNA, with thermal reduction imparting lightweight structural stability and conductivity to the material. The DNA component serves as a hydrophilic framework, enabling precise regulation of compartment size and biofunctionalization of the rGO surface. To evaluate the performance of this aerogel bioanode, measurements of current generation are conducted using Shewanella oneidensis MR-1 bacteria as a model biocatalyst. The bioanode exhibits a current density reaching up to 1.5 A.m(-2), surpassing the capabilities of many existing bioanodes. With its abundant microcompartments, the DNA-rGO demonstrates high current generation performance, representing a sustainable approach for energy harvesting without reliance on metals, polymers, or heterostructures. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AULeng, XY
Chen, SY
McCuskey, SR
Zhang, YX
Chan, SJW
Quek, G
Costa, MCF
Zhang, PX
Wu, JQ
Nikolaev, KG
Bazan, GC
Novoselov, KS
Andreeva, DV
- AFXuanye Leng
Siyu Chen
Samantha R McCuskey
Yixin Zhang
Samuel J W Chan
Glenn Quek
Mariana C F Costa
Pengxiang Zhang
Jiqiang Wu
Konstantin G Nikolaev
Guillermo C Bazan
Kostya S Novoselov
Daria V Andreeva
- TIDNA-rGO Aerogel Bioanodes with Microcompartmentalization for High-Performance Bioelectrochemical Systems
- SOADVANCED ELECTRONIC MATERIALS
- LAEnglish
- DTArticle
- DEAerogel; Bacteria; Bioelectrochemical Systems; Bioelectrode; DNA; Graphene
- IDMICROBIAL FUEL-CELLS; CARBON NANOTUBES; CYTOCHROME-C; GRAPHENE; SHEWANELLA; ADSORPTION; CELLULOSE; ELECTRODE; BOOST
- ABBioelectrochemical systems (BES) have garnered significant attention for their applications in renewable energy, microbial fuel cells, biocatalysis, and bioelectronics. In BES, bioelectrodes are used to facilitate extracellular electron transfer among microbial biocatalysts. This study is focused on enhancing the efficiency of these processes through microcompartmentalization, a technique that strategically organizes and segregates microorganisms within the electrode, thereby bolstering BES output efficiency. The study introduces a deoxyribonucleic acid (DNA)-based reduced graphene oxide (rGO) aerogel engineered as a bioanode to facilitate microorganism compartmentalization while providing an expanded biocompatible surface with continuous conductivity. The DNA-rGO aerogel is synthesized through the self-assembly of graphene oxide and DNA, with thermal reduction imparting lightweight structural stability and conductivity to the material. The DNA component serves as a hydrophilic framework, enabling precise regulation of compartment size and biofunctionalization of the rGO surface. To evaluate the performance of this aerogel bioanode, measurements of current generation are conducted using Shewanella oneidensis MR-1 bacteria as a model biocatalyst. The bioanode exhibits a current density reaching up to 1.5 A.m(-2), surpassing the capabilities of many existing bioanodes. With its abundant microcompartments, the DNA-rGO demonstrates high current generation performance, representing a sustainable approach for energy harvesting without reliance on metals, polymers, or heterostructures.
- C1[Leng, Xuanye; Chen, Siyu; McCuskey, Samantha R.; Zhang, Yixin; Chan, Samuel J. W.; Quek, Glenn; Costa, Mariana C. F.; Zhang, Pengxiang; Nikolaev, Konstantin G.; Bazan, Guillermo C.; Novoselov, Kostya S.; Andreeva, Daria V.] Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117575, Singapore.
[Leng, Xuanye; Chen, Siyu; Zhang, Yixin; Costa, Mariana C. F.; Zhang, Pengxiang; Wu, Jiqiang; Novoselov, Kostya S.; Andreeva, Daria V.] Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore. [McCuskey, Samantha R.; Chan, Samuel J. W.; Quek, Glenn; Bazan, Guillermo C.] Natl Univ Singapore, Dept Chem, Singapore 119077, Singapore. [McCuskey, Samantha R.; Chan, Samuel J. W.; Quek, Glenn; Bazan, Guillermo C.] Natl Univ Singapore, Chem & Biomol Engn, Singapore 119077, Singapore - C3Institute for Functional Intelligent Materials (I-FIM); National University of Singapore; National University of Singapore; National University of Singapore; National University of Singapore
- RPNovoselov, KS (corresponding author), Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117575, Singapore; Novoselov, KS (corresponding author), Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore
- FUResearch Centre of Excellence program [EDUN C-33-18-279-V12]; Ministry of Education (Singapore) through the Research Centre of Excellence program
- FXX.L. and S.C. contributed equally to this work. This work was supported by the Ministry of Education (Singapore) through the Research Centre of Excellence program (grant EDUN C-33-18-279-V12, I-FIM).
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- PY2024
- DI10.1002/aelm.202400137
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- WCNanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied
- SCScience & Technology - Other Topics; Materials Science; Physics
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Bong, Jia Hui; Grebenchuk, Sergey; Nikolaev, Konstantin G; Chee, Celestine P T; Yang, Kou; Chen, Siyu; Baranov, Denis; Woods, Colin R; Andreeva, Daria V; Novoselov, Kostya S Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function NANOSCALE HORIZONS, 9 (5), pp. 863-872, 2024, DOI: 10.1039/d3nh00570d. Abstract | BibTeX | Endnote @article{ISI:001191219100001,
title = {Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function},
author = {Jia Hui Bong and Sergey Grebenchuk and Konstantin G Nikolaev and Celestine P T Chee and Kou Yang and Siyu Chen and Denis Baranov and Colin R Woods and Daria V Andreeva and Kostya S Novoselov},
doi = {10.1039/d3nh00570d},
times_cited = {1},
issn = {2055-6756},
year = {2024},
date = {2024-03-27},
journal = {NANOSCALE HORIZONS},
volume = {9},
number = {5},
pages = {863-872},
publisher = {ROYAL SOC CHEMISTRY},
address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND},
abstract = {The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.},
keywords = {},
pubstate = {published},
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The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AUBong, JH
Grebenchuk, S
Nikolaev, KG
Chee, CPT
Yang, K
Chen, SY
Baranov, D
Woods, CR
Andreeva, DV
Novoselov, KS
- AFJia Hui Bong
Sergey Grebenchuk
Konstantin G Nikolaev
Celestine P T Chee
Kou Yang
Siyu Chen
Denis Baranov
Colin R Woods
Daria V Andreeva
Kostya S Novoselov
- TIGraphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function
- SONANOSCALE HORIZONS
- LAEnglish
- DTArticle
- IDLOW-VOLTAGE; SYNAPSES; NETWORK; NEURONS; DNA; PH
- ABThe behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.
- C3National University of Singapore; Institute for Functional Intelligent Materials (I-FIM); National University of Singapore
- RPAndreeva, DV (corresponding author), Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore; Andreeva, DV (corresponding author), Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore
- FXThis research is supported by the Ministry of Education, Singapore, under its Research Centre of Excellence award to the Institute for Functional Intelligent Materials (I-FIM, project no. EDUNC-33-18-279-V12).
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- SN2055-6756
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- JINanoscale Horiz.
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Meshkov, Aleksei V; Nikitina, Anna A; Aliev, Timur A; Gromov, Vladislav S; Chen, Siyu; Yang, Kou; Wang, Qian; Novoselov, Kostya S; Andreeva, Daria V; Skorb, Ekaterina V Robotization of Synthesis and Analysis Process of Graphene Oxide-Based Membrane ADVANCED INTELLIGENT SYSTEMS, 6 (5), 2024, DOI: 10.1002/aisy.202300655. Abstract | BibTeX | Endnote @article{ISI:001188990000001,
title = {Robotization of Synthesis and Analysis Process of Graphene Oxide-Based Membrane},
author = {Aleksei V Meshkov and Anna A Nikitina and Timur A Aliev and Vladislav S Gromov and Siyu Chen and Kou Yang and Qian Wang and Kostya S Novoselov and Daria V Andreeva and Ekaterina V Skorb},
doi = {10.1002/aisy.202300655},
times_cited = {0},
year = {2024},
date = {2024-03-22},
journal = {ADVANCED INTELLIGENT SYSTEMS},
volume = {6},
number = {5},
publisher = {WILEY},
address = {111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
abstract = {The use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide-polyethyleneimine-based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided.},
keywords = {},
pubstate = {published},
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The use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide-polyethyleneimine-based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AUMeshkov, AV
Nikitina, AA
Aliev, TA
Gromov, VS
Chen, SY
Yang, K
Wang, Q
Novoselov, KS
Andreeva, DV
Skorb, EV
- AFAleksei V Meshkov
Anna A Nikitina
Timur A Aliev
Vladislav S Gromov
Siyu Chen
Kou Yang
Qian Wang
Kostya S Novoselov
Daria V Andreeva
Ekaterina V Skorb
- TIRobotization of Synthesis and Analysis Process of Graphene Oxide-Based Membrane
- SOADVANCED INTELLIGENT SYSTEMS
- LAEnglish
- DTArticle
- DEArtificial Vision; Graphene Oxide; Machine Learning; Polyethyleneimine; Robotization
- ABThe use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide-polyethyleneimine-based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided.
- C1[Meshkov, Aleksei V.; Nikitina, Anna A.; Aliev, Timur A.; Gromov, Vladislav S.; Skorb, Ekaterina V.] ITMO Univ, Infochem Sci Ctr, 9 Lomonosova St, St Petersburg 191002, Russia.
[Chen, Siyu; Yang, Kou; Wang, Qian; Novoselov, Kostya S.; Andreeva, Daria V.] Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore. [Chen, Siyu; Yang, Kou; Wang, Qian; Novoselov, Kostya S.; Andreeva, Daria V.] Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore - C3ITMO University; Institute for Functional Intelligent Materials (I-FIM); National University of Singapore; National University of Singapore
- RPSkorb, EV (corresponding author), ITMO Univ, Infochem Sci Ctr, 9 Lomonosova St, St Petersburg 191002, Russia; Andreeva, DV (corresponding author), Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore; Andreeva, DV (corresponding author), Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore
- FURussian Science Foundation [EDUN C-33-18-279-V12]; Research Centre of Excellence Program [21-13-00403]; Ministry of Education (Singapore); RSF
- FXThe authors acknowledge the Research Centre of Excellence Program (Award EDUN C-33-18-279-V12, Institute for Functional Intelligent Materials) of the Ministry of Education (Singapore) and RSF grant no. 21-13-00403. Priority 2030 is acknowledged for infrastructure support.
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- DI10.1002/aisy.202300655
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- WCAutomation & Control Systems; Computer Science, Artificial Intelligence; Robotics
- SCAutomation & Control Systems; Computer Science; Robotics
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Chen, Musen; Trubyanov, Maxim; Zhang, Pengxiang; Rodriguez-San-Miguel, David; Zamora, Felix; Novoselov, Kostya S; Andreeva, Daria Control of gas selectivity and permeability through COF-GO composite membranes for sustainable decarbonization and hydrogen production CARBON, 219 , 2024, DOI: 10.1016/j.carbon.2024.118855. Abstract | BibTeX | Endnote @article{ISI:001171565700001,
title = {Control of gas selectivity and permeability through COF-GO composite membranes for sustainable decarbonization and hydrogen production},
author = {Musen Chen and Maxim Trubyanov and Pengxiang Zhang and David Rodriguez-San-Miguel and Felix Zamora and Kostya S Novoselov and Daria Andreeva},
doi = {10.1016/j.carbon.2024.118855},
times_cited = {1},
issn = {0008-6223},
year = {2024},
date = {2024-01-28},
journal = {CARBON},
volume = {219},
publisher = {PERGAMON-ELSEVIER SCIENCE LTD},
address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
abstract = {A promising way to address modern environmental and energy supply challenges is via rapid implementation of decarbonization and hydrogen production technologies. Development of gas separation membranes with high selectivity and permeability is essential for these processes but is still a bottleneck. Our research focuses on achieving precise control of gas diffusion pathways through on -demand regulation of material interactions in thin composite membranes. We combine 2D covalent organic frameworks (COFs) and graphene oxide (GO) to create COF-GO composite membranes with desirable nanosheet stacking, controllable thicknesses and pathways for gases. By pH -assisted self -assembly, we fine-tune material interactions and achieve simultaneous enhancement of permeability and selectivity by increasing membrane thickness and regulating the interactions between COF and GO nanosheets by pH. At a thickness of 1.3 mu m, the COF-GO membrane, assembled under pH 4, demonstrates good working characteristics for H2/CO2 equimolar mixture (at room temperature and 1 bar), with a H2 permeability of 366 Barrer, selectivity of 15.6, and long-term stability exceeding 200 h. This work paves the way for tailored, performing gas separation with long-term stability. It guides the unique 2D transport mechanism to be utilized under practical conditions. Our research offers a novel strategy for the design of composite membranes from two-dimensional (2D) materials for gas separation technologies. It contributes to sustainable decarbonization and hydrogen production solutions, bringing us closer to a greener, more environmentally friendly future.},
keywords = {},
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A promising way to address modern environmental and energy supply challenges is via rapid implementation of decarbonization and hydrogen production technologies. Development of gas separation membranes with high selectivity and permeability is essential for these processes but is still a bottleneck. Our research focuses on achieving precise control of gas diffusion pathways through on -demand regulation of material interactions in thin composite membranes. We combine 2D covalent organic frameworks (COFs) and graphene oxide (GO) to create COF-GO composite membranes with desirable nanosheet stacking, controllable thicknesses and pathways for gases. By pH -assisted self -assembly, we fine-tune material interactions and achieve simultaneous enhancement of permeability and selectivity by increasing membrane thickness and regulating the interactions between COF and GO nanosheets by pH. At a thickness of 1.3 mu m, the COF-GO membrane, assembled under pH 4, demonstrates good working characteristics for H2/CO2 equimolar mixture (at room temperature and 1 bar), with a H2 permeability of 366 Barrer, selectivity of 15.6, and long-term stability exceeding 200 h. This work paves the way for tailored, performing gas separation with long-term stability. It guides the unique 2D transport mechanism to be utilized under practical conditions. Our research offers a novel strategy for the design of composite membranes from two-dimensional (2D) materials for gas separation technologies. It contributes to sustainable decarbonization and hydrogen production solutions, bringing us closer to a greener, more environmentally friendly future. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AUChen, MS
Trubyanov, M
Zhang, PX
Rodríguez-San-Miguel, D
Zamora, F
Novoselov, KS
Andreeva, D
- AFMusen Chen
Maxim Trubyanov
Pengxiang Zhang
David Rodriguez-San-Miguel
Felix Zamora
Kostya S Novoselov
Daria Andreeva
- TIControl of gas selectivity and permeability through COF-GO composite membranes for sustainable decarbonization and hydrogen production
- SOCARBON
- LAEnglish
- DTArticle
- DECovalent Organic Frameworks; Graphene Oxide; Membranes; Self-assembly; Hydrogen Separation; Carbon Dioxide Capture
- IDCOVALENT ORGANIC FRAMEWORKS; GRAPHENE OXIDE; ULTRATHIN; WATER
- ABA promising way to address modern environmental and energy supply challenges is via rapid implementation of decarbonization and hydrogen production technologies. Development of gas separation membranes with high selectivity and permeability is essential for these processes but is still a bottleneck. Our research focuses on achieving precise control of gas diffusion pathways through on -demand regulation of material interactions in thin composite membranes. We combine 2D covalent organic frameworks (COFs) and graphene oxide (GO) to create COF-GO composite membranes with desirable nanosheet stacking, controllable thicknesses and pathways for gases. By pH -assisted self -assembly, we fine-tune material interactions and achieve simultaneous enhancement of permeability and selectivity by increasing membrane thickness and regulating the interactions between COF and GO nanosheets by pH. At a thickness of 1.3 mu m, the COF-GO membrane, assembled under pH 4, demonstrates good working characteristics for H2/CO2 equimolar mixture (at room temperature and 1 bar), with a H2 permeability of 366 Barrer, selectivity of 15.6, and long-term stability exceeding 200 h. This work paves the way for tailored, performing gas separation with long-term stability. It guides the unique 2D transport mechanism to be utilized under practical conditions. Our research offers a novel strategy for the design of composite membranes from two-dimensional (2D) materials for gas separation technologies. It contributes to sustainable decarbonization and hydrogen production solutions, bringing us closer to a greener, more environmentally friendly future.
- C1[Chen, Musen; Trubyanov, Maxim; Zhang, Pengxiang; Novoselov, Kostya S.; Andreeva, Daria, V] Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore.
[Chen, Musen; Trubyanov, Maxim; Zhang, Pengxiang; Novoselov, Kostya S.; Andreeva, Daria, V] Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore. [Rodriguez-San-Miguel, David; Zamora, Felix] Univ Autonoma Madrid, Fac Ciencias, Dept Inorgan, Madrid 28049, Spain. [Rodriguez-San-Miguel, David] Univ Autonoma Madrid, Inst Adv Res Chem Sci IAdChem, E-28049 Madrid, Spain. [Zamora, Felix] Univ Autonoma Madrid, Fac Ciencias, Condensed Matter Phys Ctr IFIMAC, Madrid 28048, Spain - C3Institute for Functional Intelligent Materials (I-FIM); National University of Singapore; National University of Singapore; Autonomous University of Madrid; Autonomous University of Madrid; Autonomous University of Madrid
- RPAndreeva, D (corresponding author), Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore
- FUMinistry of Education, Singapore, under its Research Centre of Excellence award (I-FIM) [EDUNC-33-18-279- V12]; Institute for Functional Intelligent Materials [CEX2018-000805-M, TED2021-129886B- C42, PID2022-138908NB-C31, PID2019-106268 GB -C32]; Spanish Ministry of Science and Innovation, through the "Mara de Maeztu" Programme for Units of Excellence in R D; MAD2D-CM-UAM project - Comunidad de Madrid; Recovery, Transformation and Resilience Plan; NextGenerationEU from the European Union
- FXThis research is supported by the Ministry of Education, Singapore, under its Research Centre of Excellence award to the Institute for Functional Intelligent Materials (I-FIM, project no. EDUNC-33-18-279- V12) . F. Z. acknowledges financial support from the Spanish Ministry of Science and Innovation, through the "Maria de Maeztu" Programme for Units of Excellence in R & D (CEX2018-000805-M), TED2021-129886B-C42, PID2022-138908NB-C31 and PID2019-106268 GB-C32, the " (MAD2D-CM)-UAM" project funded by Comunidad de Madrid, by the Recovery, Transformation and Resilience Plan, and by NextGenerationEU from the European Union.
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2023
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Yang, Kou; Hu, Zhitao; Li, Xiaolai; Nikolaev, Konstantin; Hong, Gan Kai; Mamchik, Natalia; Erofeev, Ivan; Mirsaidov, Utkur M; Neto, Antonio Castro H; Blackwood, Daniel J; Shchukin, Dmitry G; Trushin, Maxim; Novoselov, Kostya S; Andreeva, Daria V Graphene oxide-polyamine preprogrammable nanoreactors with sensing capability for corrosion protection of materials PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 120 (35), 2023, DOI: 10.1073/pnas.2307618120. Abstract | BibTeX | Endnote @article{ISI:001112759000007,
title = {Graphene oxide-polyamine preprogrammable nanoreactors with sensing capability for corrosion protection of materials},
author = {Kou Yang and Zhitao Hu and Xiaolai Li and Konstantin Nikolaev and Gan Kai Hong and Natalia Mamchik and Ivan Erofeev and Utkur M Mirsaidov and Antonio Castro H Neto and Daniel J Blackwood and Dmitry G Shchukin and Maxim Trushin and Kostya S Novoselov and Daria V Andreeva},
doi = {10.1073/pnas.2307618120},
times_cited = {1},
issn = {0027-8424},
year = {2023},
date = {2023-08-21},
journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA},
volume = {120},
number = {35},
publisher = {NATL ACAD SCIENCES},
address = {2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
abstract = {Corrosion is one of the major issues for sustainable manufacturing globally. The annual global cost of corrosion is US$2.5 trillion (approximately 3.4% of the world's GDP). The traditional ways of corrosion protection (such as barriers or inhibiting) are either not very effective (in the case of barrier protection) or excessively expensive (inhibiting). Here, we demonstrate a concept of nanoreactors, which are able to controllably release or adsorb protons or hydroxides directly on corrosion sites, hence, selectively regulating the corrosion reactions. A single nanoreactor comprises a nano compartment wrapped around by a pH-sensing membrane represented, respectively, by a halloysite nanotube and a graphene oxide/polyamine envelope. A nanoreactor response is determined by the change of a signaling pH on a given corrosion site. The nanoreactors are self-assembled and suitable for mass line production. The concept creates sustainable technology for developing smart anticorrosion coatings, which are nontoxic, selective, and inexpensive.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Corrosion is one of the major issues for sustainable manufacturing globally. The annual global cost of corrosion is US$2.5 trillion (approximately 3.4% of the world's GDP). The traditional ways of corrosion protection (such as barriers or inhibiting) are either not very effective (in the case of barrier protection) or excessively expensive (inhibiting). Here, we demonstrate a concept of nanoreactors, which are able to controllably release or adsorb protons or hydroxides directly on corrosion sites, hence, selectively regulating the corrosion reactions. A single nanoreactor comprises a nano compartment wrapped around by a pH-sensing membrane represented, respectively, by a halloysite nanotube and a graphene oxide/polyamine envelope. A nanoreactor response is determined by the change of a signaling pH on a given corrosion site. The nanoreactors are self-assembled and suitable for mass line production. The concept creates sustainable technology for developing smart anticorrosion coatings, which are nontoxic, selective, and inexpensive. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AUYang, K
Hu, ZT
Li, XL
Nikolaev, K
Hong, GK
Mamchik, N
Erofeev, I
Mirsaidov, UM
Neto, AHC
Blackwood, DJ
Shchukin, DG
Trushin, M
Novoselov, KS
Andreeva, DV
- AFKou Yang
Zhitao Hu
Xiaolai Li
Konstantin Nikolaev
Gan Kai Hong
Natalia Mamchik
Ivan Erofeev
Utkur M Mirsaidov
Antonio Castro H Neto
Daniel J Blackwood
Dmitry G Shchukin
Maxim Trushin
Kostya S Novoselov
Daria V Andreeva
- TIGraphene oxide-polyamine preprogrammable nanoreactors with sensing capability for corrosion protection of materials
- SOPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- LAEnglish
- DTArticle
- DECorrosion; Graphene; Halloysite; Nanoreactor
- IDHALLOYSITE; DERIVATIVES; COMPOSITES; NANOTUBES; COATINGS
- ABCorrosion is one of the major issues for sustainable manufacturing globally. The annual global cost of corrosion is US$2.5 trillion (approximately 3.4% of the world's GDP). The traditional ways of corrosion protection (such as barriers or inhibiting) are either not very effective (in the case of barrier protection) or excessively expensive (inhibiting). Here, we demonstrate a concept of nanoreactors, which are able to controllably release or adsorb protons or hydroxides directly on corrosion sites, hence, selectively regulating the corrosion reactions. A single nanoreactor comprises a nano compartment wrapped around by a pH-sensing membrane represented, respectively, by a halloysite nanotube and a graphene oxide/polyamine envelope. A nanoreactor response is determined by the change of a signaling pH on a given corrosion site. The nanoreactors are self-assembled and suitable for mass line production. The concept creates sustainable technology for developing smart anticorrosion coatings, which are nontoxic, selective, and inexpensive.
- C1[Yang, Kou; Hu, Zhitao; Li, Xiaolai; Nikolaev, Konstantin; Hong, Gan Kai; Mamchik, Natalia; Neto, Antonio H. Castro; Blackwood, Daniel J.; Trushin, Maxim; Novoselov, Kostya S.; V. Andreeva, Daria] Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore.
[Yang, Kou; Hu, Zhitao; Nikolaev, Konstantin; Hong, Gan Kai; Mamchik, Natalia; Neto, Antonio H. Castro; Trushin, Maxim; Novoselov, Kostya S.; V. Andreeva, Daria] Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore. [Li, Xiaolai] Natl Univ Singapore, Suzhou Res Inst, Suzhou 215123, Jiangsu, Peoples R China. [Erofeev, Ivan] Natl Univ Singapore, Dept Biol Sci, Singapore 117558, Singapore. [Erofeev, Ivan; Mirsaidov, Utkur M.] Natl Univ Singapore, Ctr BioImaging Sci, Singapore 117543, Singapore. [Neto, Antonio H. Castro] Natl Univ Singapore, Dept Phys, Singapore 117551, Singapore. [Shchukin, Dmitry G.] Natl Univ Singapore, Ctr Adv Dimens Mat 2, Singapore 117546, Singapore. [V. Andreeva, Daria] Univ Liverpool, Stephenson Inst Renewable Energy, Liverpool L69 7ZF, England - C3National University of Singapore; National University of Singapore; Institute for Functional Intelligent Materials (I-FIM); National University of Singapore; National University of Singapore; National University of Singapore; National University of Singapore; National University of Singapore; University of Liverpool
- RPYang, K (corresponding author), Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117575, Singapore; Yang, K (corresponding author), Natl Univ Singapore, Inst Funct Intelligent Mat, Singapore 117544, Singapore; Andreeva, DV (corresponding author), Univ Liverpool, Stephenson Inst Renewable Energy, Liverpool L69 7ZF, England
- FUMinistry of Education (Singapore) through the Research Centre of Excellence program [EDUN C- 33- 18- 279- V12]; Royal Society (UK) [RSRPR190000]
- FXACKNOWLEDGMENTS. This work was supported by the Ministry of Education (Singapore) through the Research Centre of Excellence program (grant EDUN C- 33- 18- 279- V12, I- FIM) . K.S.N. is grateful to the Royal Society (UK, grant number RSRPR190000) for support.
- NR42
- TC1
- Z91
- U16
- U29
- PUNATL ACAD SCIENCES
- PIWASHINGTON
- PA2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
- SN0027-8424
- J9PROC NAT ACAD SCI USA
- JIProc. Natl. Acad. Sci. U. S. A.
- PDAUG 21
- PY2023
- VL120
- DI10.1073/pnas.2307618120
- PG8
- WCMultidisciplinary Sciences
- SCScience & Technology - Other Topics
- GAZ5VW6
- UTWOS:001112759000007
- ER
- EF
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