Mechanism of ethanol/water reverse separation through a functional graphene membrane: a molecular simulation investigation

PDF(7895 KB)
PDF(7895 KB)
Frontiers of Chemical Science and Engineering ›› 2023, Vol. 17 ›› Issue (3) : 347-357. DOI: 10.1007/s11705-022-2246-z
RESEARCH ARTICLE

作者信息 +

Mechanism of ethanol/water reverse separation through a functional graphene membrane: a molecular simulation investigation

Author information +
History +

Abstract

Reverse-selective membranes have attracted considerable interest for bioethanol production. However, to date, the reverse-separation performance of ethanol/water is poor and the separation mechanism is unclear. Graphene-based membranes with tunable apertures and functional groups have shown substantial potential for use in molecular separation. Using molecular dynamics simulations, for the first time, we reveal two-way selectivity in ethanol/water separation through functional graphene membranes. Pristine graphene (PG) exhibits reverse-selective behavior with higher ethanol fluxes than water, resulting from the preferential adsorption for ethanol. Color flow mappings show that this ethanol-permselective process is initiated by the presence of ethanol-enriched and water-barren pores; this has not been reported in previous studies. In contrast, water molecules are preferred for hydroxylated graphene membranes because of the synergistic effects of molecular sieving and functional-group attraction. A simulation of the operando condition shows that the PG membrane with an aperture size of 3.8 Å achieves good separation performance, with an ethanol/water separation factor of 34 and a flux value of 69.3 kg∙m‒2∙h‒1∙bar‒1. This study provides new insights into the reverse-selective mechanism of porous graphene membranes and a new avenue for efficient biofuel production.

Keywords

reverse separation / graphene membrane / ethanol/water separation / molecular simulation

引用本文

导出引用
. . Frontiers of Chemical Science and Engineering. 2023, 17(3): 347-357 https://doi.org/10.1007/s11705-022-2246-z

参考文献

[1]
Merkel T C, Freeman B D, Spontak R J, He Z, Pinnau I, Meakin P, Hill A J. Ultrapermeable, reverse-selective nanocomposite membranes. Science, 2002, 296(5567): 519–522
CrossRef ADS Google scholar
[2]
Khakpay A, Scovazzo P. Reverse-selective behavior of room temperature ionic liquid based membranes for natural gas processing. Journal of Membrane Science, 2018, 545: 204–212
CrossRef ADS Google scholar
[3]
Yu S, Qin B, Yang F, Xie M, Xue L, Zhao Z, Wang K. Unlocking the limits of diffusion and adsorption of metal-crosslinked reduced graphene oxide membranes for gas separation. Applied Surface Science, 2022, 586: 152868
CrossRef ADS Google scholar
[4]
Lau C H, Li P, Li F, Chung T S, Paul D R. Reverse-selective polymeric membranes for gas separations. Progress in Polymer Science, 2013, 38(5): 740–766
CrossRef ADS Google scholar
[5]
Mushardt H, Kramer V, Hülagü D, Brinkmann T, Kraume M. Development of solubility selective mixed matrix membranes for gas separation. Chemie ingenieur technik, 2014, 86(1–2): 83–91
CrossRef ADS Google scholar
[6]
Ahmed I, Pa N F C, Nawawi M G M, Rahman W A W A. Modified polydimethylsiloxane/polystyrene blended IPN pervaporation membrane for ethanol/water separation. Journal of Applied Polymer Science, 2011, 122(4): 2666–2679
CrossRef ADS Google scholar
[7]
Cheng X Q, Konstas K, Doherty C M, Wood C D, Mulet X, Xie Z, Ng D, Hill M R, Lau C H, Shao L. Organic microporous nanofillers with unique alcohol affinity for superior ethanol recovery toward sustainable biofuels. ChemSusChem, 2017, 10(9): 1887–1891
CrossRef ADS Google scholar
[8]
Sanaeepur H, Ebadi Amooghin A, Bandehali S, Moghadassi A, Matsuura T, van der Bruggen B. Polyimides in membrane gas separation: monomer’s molecular design and structural engineering. Progress in Polymer Science, 2019, 91: 80–125
CrossRef ADS Google scholar
[9]
Li Y, Chung T S, Cao C, Kulprathipanja S. The effects of polymer chain rigidification, zeolite pore size and pore blockage on polyethersulfone (PES)-zeolite a mixed matrix membranes. Journal of Membrane Science, 2005, 260(1): 45–55
CrossRef ADS Google scholar
[10]
Mao H, Zhen H G, Ahmad A, Zhang A S, Zhao Z P. In situ fabrication of MOF nanoparticles in PDMS membrane via interfacial synthesis for enhanced ethanol permselective pervaporation. Journal of Membrane Science, 2019, 573: 344–358
CrossRef ADS Google scholar
[11]
Pan Y, Zhu T, Xia Q, Yu X, Wang Y. Constructing superhydrophobic ZIF-8 layer with bud-like surface morphology on PDMS composite membrane for highly efficient ethanol/water separation. Journal of Environmental Chemical Engineering, 2021, 9(1): 104977
CrossRef ADS Google scholar
[12]
Pan Y, Yu X. Preparation of zeolitic imidazolate framework-91 and its modeling for pervaporation separation of water/ethanol mixtures. Separation and Purification Technology, 2020, 237: 116330
CrossRef ADS Google scholar
[13]
He X, Wang T, Huang J, Chen J, Li J. Fabrication and characterization of superhydrophobic PDMS composite membranes for efficient ethanol recovery via pervaporation. Separation and Purification Technology, 2020, 241: 116675
CrossRef ADS Google scholar
[14]
Zhu T, Xu S, Yu F, Yu X, Wang Y. ZIF-8@GO composites incorporated polydimethylsiloxane membrane with prominent separation performance for ethanol recovery. Journal of Membrane Science, 2020, 598: 117681
CrossRef ADS Google scholar
[15]
Zhu T, Yu X, Yi M, Wang Y. Facile covalent crosslinking of zeolitic imidazolate framework/polydimethylsiloxane mixed matrix membrane for enhanced ethanol/water separation performance. ACS Sustainable Chemistry & Engineering, 2020, 8(33): 12664–12676
CrossRef ADS Google scholar
[16]
Kang J, Choi Y, Kim J P, Kim J H, Kim J Y, Kwon O, Kim D I, Kim D W. Thermally-induced pore size tuning of multilayer nanoporous graphene for organic solvent nanofiltration. Journal of Membrane Science, 2021, 637: 119620
CrossRef ADS Google scholar
[17]
Liu Y, Bai Z, Lin G, Wang L, Xu X, He L, Liu X. Covalent cross-linking mediated TA-APTES NPs to construct a high-efficiency GO composite membrane for dye/salt separation. Applied Surface Science, 2022, 584: 152595
CrossRef ADS Google scholar
[18]
Liu G, Jin W, Xu N. Graphene-based membranes. Chemical Society Reviews, 2015, 44(15): 5016–5030
CrossRef ADS Google scholar
[19]
Moreno C, Vilas-Varela M, Kretz B, Garcia-Lekue A, Costache M V, Paradinas M, Panighel M, Ceballos G, Valenzuela S O, Peña D, Mugarza A. Bottom-up synthesis of multifunctional nanoporous graphene. Science, 2018, 360(6385): 199–203
CrossRef ADS Google scholar
[20]
Jang J, Nam Y T, Kim D, Kim Y J, Kim D W, Jung H T. Turbostratic nanoporous carbon sheet membrane for ultrafast and selective nanofiltration in viscous green solvents. Journal of Materials Chemistry A: Materials for Energy and Sustainability, 2020, 8(17): 8292–8299
CrossRef ADS Google scholar
[21]
Gravelle S, Yoshida H, Joly L, Ybert C, Bocquet L. Carbon membranes for efficient water−ethanol separation. Journal of Chemical Physics, 2016, 145(12): 124708
CrossRef ADS Google scholar
[22]
Kommu A, Singh J K. Separation of ethanol and water using graphene and hexagonal boron nitride slit pores: a molecular dynamics study. Journal of Physical Chemistry C, 2017, 121(14): 7867–7880
CrossRef ADS Google scholar
[23]
Liu Q, Chen M, Mao Y, Liu G. Theoretical study on Janus graphene oxide membrane for water transport. Frontiers of Chemical Science and Engineering, 2021, 15(4): 913–921
CrossRef ADS Google scholar
[24]
Liu Q, Gupta K M, Xu Q, Liu G, Jin W. Gas permeation through double-layer graphene oxide membranes: the role of interlayer distance and pore offset. Separation and Purification Technology, 2019, 209: 419–425
CrossRef ADS Google scholar
[25]
Liu Q, Wu Y, Wang X, Liu G, Zhu Y, Tu Y, Lu X, Jin W. Molecular dynamics simulation of water−ethanol separation through monolayer graphene oxide membranes: significant role of O/C ratio and pore size. Separation and Purification Technology, 2019, 224: 219–226
CrossRef ADS Google scholar
[26]
Cohen-Tanugi D, Grossman J C. Water desalination across nanoporous graphene. Nano Letters, 2012, 12(7): 3602–3608
CrossRef ADS Google scholar
[27]
Li H, Lv W, Xu J, Hu J, Liu H. Can flexible framework fillers keep breathing in mixed matrix membranes to enhance separation performance?. Journal of Membrane Science, 2020, 614: 118426
CrossRef ADS Google scholar
[28]
Gupta K M, Liu J, Jiang J. A molecular simulation protocol for membrane pervaporation. Journal of Membrane Science, 2019, 572: 676–682
CrossRef ADS Google scholar
[29]
Liu Q, Zhu H, Liu G, Jin W. Efficient separation of (C1–C2) alcohol solutions by graphyne membranes: a molecular simulation study. Journal of Membrane Science, 2022, 644: 120139
CrossRef ADS Google scholar
[30]
Jorgensen W L, Chandrasekhar J, Madura J D, Impey R W, Klein M L. Comparison of simple potential functions for simulating liquid water. Journal of Chemical Physics, 1983, 79(2): 926–935
CrossRef ADS Google scholar
[31]
Jorgensen W L, Maxwell D S, Tirado-Rives J. Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids. Journal of the American Chemical Society, 1996, 118(45): 11225–11236
CrossRef ADS Google scholar
[32]
Wennberg C L, Murtola T, Páll S, Abraham M J, Hess B, Lindahl E. Direct-space corrections enable fast and accurate Lorentz–Berthelot combination rule Lennard–Jones lattice summation. Journal of Chemical Theory and Computation, 2015, 11(12): 5737–5746
CrossRef ADS Google scholar
[33]
van der Spoel D, Lindahl E, Hess B, Groenhof G, Mark A E, Berendsen H J. GROMACS: fast, flexible, and free. Journal of Computational Chemistry, 2005, 26(16): 1701–1718
CrossRef ADS Google scholar
[34]
Humphrey W, Dalke A, Schulten K. VMD: visual molecular dynamics. Journal of Molecular Graphics, 1996, 14(1): 33–38
CrossRef ADS Google scholar
[35]
Wei W, Liu J, Jiang J. Atomistic simulation study of polyarylate/zeolitic-imidazolate framework mixed-matrix membranes for water desalination. ACS Applied Nano Materials, 2020, 3(10): 10022–10031
CrossRef ADS Google scholar
[36]
Cohen-Tanugi D, Grossman J C. Water permeability of nanoporous graphene at realistic pressures for reverse osmosis desalination. Journal of Chemical Physics, 2014, 141(7): 074704
CrossRef ADS Google scholar
[37]
Liu J, Wei W, Jiang J. A highly rigid and conjugated microporous polymer membrane for solvent permeation and biofuel purification: a molecular simulation study. ACS Sustainable Chemistry & Engineering, 2020, 8(7): 2892–2900
CrossRef ADS Google scholar
[38]
Guo Y, Xie W, Li H, Li J, Hu J, Liu H. Construction of hydrophobic channels on Cu(I)-MOF surface to improve selective adsorption desulfurization performance in presence of water. Separation and Purification Technology, 2022, 285: 120287
CrossRef ADS Google scholar
[39]
An S, Lu C, Xu Q, Lian C, Peng C, Hu J, Zhuang X, Liu H. Constructing catalytic crown ether-based covalent organic frameworks for electroreduction of CO2. ACS Energy Letters, 2021, 6(10): 3496–3502
CrossRef ADS Google scholar
[40]
Cohen-Tanugi D, Lin L C, Grossman J C. Multilayer nanoporous graphene membranes for water desalination. Nano Letters, 2016, 16(2): 1027–1033
CrossRef ADS Google scholar
[41]
Zhang L, Wu G, Jiang J. Adsorption and diffusion of CO2 and CH4 in zeolitic imidazolate framework-8: effect of structural flexibility. Journal of Physical Chemistry C, 2014, 118(17): 8788–8794
CrossRef ADS Google scholar
[42]
Nakagawa K, Araya S, Ushio K, Kunimatsu M, Yoshioka T, Shintani T, Kamio E, Tung K L, Matsuyama H. Controlling interlayer spacing and organic solvent permeation in laminar graphene oxide membranes modified with crosslinker. Separation and Purification Technology, 2021, 276: 119279
CrossRef ADS Google scholar
[43]
Wang J, Zhang P, Liang B, Liu Y, Xu T, Wang L, Cao B, Pan K. Graphene oxide as an effective barrier on a porous nanofibrous membrane for water treatment. ACS Applied Materials & Interfaces, 2016, 8(9): 6211–6218
CrossRef ADS Google scholar

Acknowledgments

This work was financially supported by the University Natural Science Research Project of Anhui Province (Grant No. KJ2020A0286), the Anhui Provincial Natural Science Foundation (Grant No. 2108085QB50), and the Natural Science Foundation of Jiangsu Province (Grant No. BK20220002). The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of University of Science and Technology of China.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://dx.doi.org/10.1007/s11705-022-2246-z and is accessible for authorized users.

版权

2022 Higher Education Press
PDF(7895 KB)

Accesses

Citation

Detail

段落导航
相关文章

/