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Ahmad T, Rehman LM, Al-Nuaimi R, de Levay JPBB, Thankamony R, Mubashir M, Lai Z. Thermodynamics and kinetic analysis of membrane: Challenges and perspectives. CHEMOSPHERE 2023; 337:139430. [PMID: 37422221 DOI: 10.1016/j.chemosphere.2023.139430] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/10/2023]
Abstract
The ultimate structure of the membrane is determined using two important effects: (i) thermodynamic effect and (ii) kinetic effect. Controlling the mechanism of kinetic and thermodynamic processes in phase separation is essential for enhancing membrane performance. However, the relationship between system parameters and the ultimate membrane morphology is still largely empirical. This review focuses on the fundamental ideas behind thermally induced phase separation (TIPS) and nonsolvent-induced phase separation (NIPS) methods, including both kinetic and thermodynamic elements. The thermodynamic approach to understanding phase separation and the effect of different interaction parameters on membrane morphology has been discussed in detail. Furthermore, this review explores the capabilities and limitations of different macroscopic transport models used for the last four decades to explore the phase inversion process. The application of molecular simulations and phase field to understand phase separation has also been briefly examined. Finally, it discusses the thermodynamic approach to understanding phase separation and the consequence of different interaction parameters on membrane morphology, as well as possible directions for artificial intelligence to fill the gaps in the literature. This review aims to provide comprehensive knowledge and motivation for future modeling work for membrane fabrication via new techniques such as nonsolvent-TIPS, complex-TIPS, non-solvent assisted TIPS, combined NIPS-TIPS method, and mixed solvent phase separation.
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Affiliation(s)
- Tausif Ahmad
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
| | - Lubna M Rehman
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Reham Al-Nuaimi
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Jean-Pierre Benjamin Boross de Levay
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Roshni Thankamony
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Muhammad Mubashir
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Zhiping Lai
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
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2
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Dong S, Hua H, Wu X, Mao X, Li N, Zhang X, Wang K, Yang S. In-situ photoreduction strategy for synthesis of silver nanoparticle-loaded PVDF ultrafiltration membrane with high antibacterial performance and stability. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:26445-26457. [PMID: 36369440 DOI: 10.1007/s11356-022-24052-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Ultrafiltration (UF) technology using polyvinylidene fluoride (PVDF) membrane has been widely applied to water and wastewater treatment due to its low cost and simple operation process. However, PVDF-based UF membrane always encountered the issue of membrane biofouling that greatly impacted the filtration performance. In this study, we prepare a silver nanoparticle (AgNP)-loaded PVDF (Ag/PVDF) UF membrane by an in-situ photoreduction method to mitigate the membrane biofouling. Different from the previously reported method, AgNPs were synthesized in-situ by a UV photoreduction process, in which Ag+ ions were reduced to zero-valent Ag nanoparticles by the photo-induced reducing radicals. Antibacterial experiments showed that the inhibition efficiency of Ag/PVDF membrane to Escherichia coli reached up to ~ 99% after antibacterial treatment for 24 h. In comparison with the pristine PVDF membrane, Ag/PVDF membrane possessed a lower water contact angle (83.7° vs. 38.1°), and its pure water flux increased by 23.7%, and a high bovine serum albumin (BSA) rejection efficiency was maintained. In addition, the high stability of the Ag/PVDF composite membrane was confirmed by the extremely low releasing amount of Ag. This study provides a novel strategy for the preparation of metal nanoparticle-incorporated Ag/PVDF ultrafiltration composite membrane showing favorable antibacterial performance and stability.
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Affiliation(s)
- Shanshan Dong
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China
| | - Helin Hua
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
| | - Xin Wu
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China
| | - Xuhui Mao
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China
| | - Na Li
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China
| | - Xinping Zhang
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China
| | - Kun Wang
- Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, School of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China
| | - Shengyun Yang
- Guangdong Weiqing Environmental Engineering Company, Zhongshan, 528437, China
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3
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Fang P, Cui S, Song Z, Zhu L, Du M, Yang C. Phase-Field Simulation of the Effect of Coagulation Bath Temperature on the Structure and Properties of Polyvinylidene Fluoride Microporous Membranes Prepared by a Nonsolvent-Induced Phase Separation. ACS OMEGA 2023; 8:180-189. [PMID: 36643498 PMCID: PMC9835624 DOI: 10.1021/acsomega.2c06983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
We used the phase-field model of the existing Nonsolvent Induced Phase Separation (NIPS) method to add the variable of temperature in simulating the changes in the process of membrane formation. The polyvinylidene fluoride (PVDF) membrane system was applied to examine the influence of coagulation bath temperature change on the skin-sublayer of the membrane structure, thereby elucidating the development process of membrane structure under different conditions and shedding light on the most suitable coagulation bath temperature ranges. It was found that as coagulation bath temperature increased, the number of interface pores in the outer skin layer decreased, but the size increased. As a result, it changed from the crack shape to round-hole shape, thus making the pore structure looser. In the sublayer, the mesh support structure was increased, which enhanced the mechanical strength of the membrane. Relevant experiments also verify the effectiveness of the model.
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Affiliation(s)
- Ping Fang
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
| | - Shurong Cui
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
| | - Zhaoyang Song
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
| | - Longtao Zhu
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
| | - Mingshan Du
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
| | - Chaoyu Yang
- School
of Urban Planning and Municipal Engineering, Xian Polytechnic University, Xi’an710048, ShanxiChina
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4
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Thermodynamic analysis of polymeric membrane formation by non-solvent induced phase separation in the presence of different nanoparticles. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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5
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Hu X, Alsaikhan F, Sh. Majdi H, Olegovich Bokov D, Mohamed A, Sadeghi A. Predictive modeling and computational machine learning simulation of adsorption separation using advanced nanocomposite materials. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2022.104062] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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6
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Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118888] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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7
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Optimization and design of machine learning computational technique for prediction of physical separation process. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103680] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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8
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Zhu X, Wang X, Liu K, Zhou S, Alqsair UF, El-Shafay A. Machine learning simulation of Cr (VI) separation from aqueous solutions via a hierarchical nanostructure material. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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9
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Multiple machine learning models for prediction of CO2 solubility in potassium and sodium based amino acid salt solutions. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103608] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
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10
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Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118527] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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11
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Syah R, Piri F, Elveny M, Khan A. Artificial Intelligence simulation of water treatment using nanostructure composite ordered materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2021.117046] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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12
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Tang Y, Lin Y, Ford DM, Qian X, Cervellere MR, Millett PC, Wang X. A review on models and simulations of membrane formation via phase inversion processes. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2021.119810] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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13
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Ding Y, Jin Y, Yao B, Khan A. Artificial intelligence based simulation of Cd(II) adsorption separation from aqueous media using a nanocomposite structure. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117772] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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14
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Tang Y, Lin Y, Ma W, Wang X. A review on microporous polyvinylidene fluoride membranes fabricated via thermally induced phase separation for MF/UF application. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2021.119759] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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15
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Ghanei-Nasab S, Hadizadeh F, Foroumadi A, Marjani A. A QSAR Study for the Prediction of Inhibitory Activity of Coumarin Derivatives for the Treatment of Alzheimer’s Disease. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-020-05064-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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16
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Asgarpour Khansary M, Pouresmaeel-Selakjani P, Aroon MA, Hallajisani A, Cookman J, Shirazian S. A molecular scale analysis of TEMPO-oxidation of native cellulose molecules. Heliyon 2020; 6:e05776. [PMID: 33426323 PMCID: PMC7779718 DOI: 10.1016/j.heliyon.2020.e05776] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/27/2020] [Accepted: 12/15/2020] [Indexed: 11/25/2022] Open
Abstract
The native cellulose, through TEMPO (2,2,6,6-tetramethylpiperidine-1-oxyl radical)-mediated oxidation, can be converted into individual fibers. It has been observed that oxidized fibers disperse completely and individually in water. It is believed that electrostatic repulsive forces might be responsible for such observations. In order to study the TEMPO-oxidation of cellulose molecules, we used Density Functional Theory (DFT) calculations and Flory-Huggins theory combined with molecular dynamics (MD). The surface electrostatic potential in native cellulose and TEMPO-oxidized cellulose were calculated using DFT calculations. We found that TEMPO-oxidized cellulose accommodates a threefold screw conformation where the negatively charged (–COO–) functional groups are pointed away from the surface in all spatial directions. This spatial orientation causes that TEMPO-oxidized cellulose molecules repulse each other due to strong negatively charged surface. At the same time, the spatial orientation increases the hydrophilicity in TEMPO-oxidized cellulose molecules. These observations explain the improved dispersion in water and separability of TEMPO-oxidized cellulose molecules. We obtained large and positive Flory–Huggins interaction parameters for TEMPO-oxidized cellulose molecules indicating their higher dispersion once in water.
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Affiliation(s)
- Milad Asgarpour Khansary
- Confirm Smart Manufacturing Center, Bernal Institute, University of Limerick, Limerick, Ireland.,Department of Chemical Sciences, Bernal Institute, University of Limerick, Limerick, Ireland
| | | | - Mohammad Ali Aroon
- Membrane Research Laboratory, Caspian Faculty of Engineering, College of Engineering, University of Tehran, Tehran , Iran
| | - Ahmad Hallajisani
- Biofuel Research Laboratory, Caspian Faculty of Engineering, College of Engineering, University of Tehran, Tehran , Iran
| | | | - Saeed Shirazian
- Department of Chemical Sciences, Bernal Institute, University of Limerick, Limerick, Ireland
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17
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Asgarpour Khansary M, Walker G, Shirazian S. Incomplete cocrystalization of ibuprofen and nicotinamide and its interplay with formation of ibuprofen dimer and/or nicotinamide dimer: A thermodynamic analysis based on DFT data. Int J Pharm 2020; 591:119992. [DOI: 10.1016/j.ijpharm.2020.119992] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 10/11/2020] [Accepted: 10/13/2020] [Indexed: 12/20/2022]
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18
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Pishnamazi M, Marjani A, Pishnamazi M, Selakjani PP, Shirazian S. A thermokinetic model for penetrant-induced swelling in polymeric membranes: Water in polybenzimidazole membranes. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.114000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Tang YH, Ledieu E, Cervellere MR, Millett PC, Ford DM, Qian X. Formation of polyethersulfone membranes via nonsolvent induced phase separation process from dissipative particle dynamics simulations. J Memb Sci 2020. [DOI: 10.1016/j.memsci.2020.117826] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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20
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Xu P, Babanezhad M, Yarmand H, Marjani A. Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods. J Vis (Tokyo) 2019. [DOI: 10.1007/s12650-019-00614-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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21
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Predictive construction of phase diagram of ternary solutions containing polymer/solvent/nonsolvent using modified Flory-Huggins model. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.05.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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22
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Dytrych P, Vajglová Z, Morávková L, Jandová V, Izák P, Petrusová Z. Minimization of the Theoretical Error of Input Parameters for a Vapor Permeation Apparatus. Chem Eng Technol 2018. [DOI: 10.1002/ceat.201800163] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Pavel Dytrych
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
| | - Zuzana Vajglová
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
| | - Lenka Morávková
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
| | - Věra Jandová
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
| | - Pavel Izák
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
| | - Zuzana Petrusová
- Institute of Chemical Process Fundamentals of the Czech Academy of Sciences; Rozvojová 135/2 16502 Prague Czech Republic
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23
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24
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Molecular separation in liquid phase: Development of mechanistic model in membrane separation of organic compounds. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.04.101] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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25
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Pelalak R, Heidari Z, Soltani H, Shirazian S. Mathematical Model for Numerical Simulation of Organic Compound Recovery Using Membrane Separation. Chem Eng Technol 2017. [DOI: 10.1002/ceat.201700445] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rasool Pelalak
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Zahra Heidari
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Hadi Soltani
- Department of Chemical Engineering; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Saeed Shirazian
- Department of Chemical Sciences; Bernal Institute; University of Limerick; Limerick Ireland
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26
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Chehrazi E, Sharif A, Omidkhah M, Karimi M. Modeling the Effects of Interfacial Characteristics on Gas Permeation Behavior of Nanotube-Mixed Matrix Membranes. ACS APPLIED MATERIALS & INTERFACES 2017; 9:37321-37331. [PMID: 28985055 DOI: 10.1021/acsami.7b11545] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Theoretical approaches that accurately predict the gas permeation behavior of nanotube-containing mixed matrix membranes (nanotube-MMMs) are scarce. This is mainly due to ignoring the effects of nanotube/matrix interfacial characteristics in the existing theories. In this paper, based on the analogy of thermal conduction in polymer composites containing nanotubes, we develop a model to describe gas permeation through nanotube-MMMs. Two new parameters, "interfacial thickness" (aint) and "interfacial permeation resistance" (Rint), are introduced to account for the role of nanotube/matrix interfacial interactions in the proposed model. The obtained values of aint, independent of the nature of the permeate gas, increased by increasing both the nanotubes aspect ratio and polymer-nanotube interfacial strength. An excellent correlation between the values of aint and polymer-nanotube interaction parameters, χ, helped to accurately reproduce the existing experimental data from the literature without the need to resort to any adjustable parameter. The data includes 10 sets of CO2/CH4 permeation, 12 sets of CO2/N2 permeation, 3 sets of CO2/O2 permeation, and 2 sets of CO2/H2 permeation through different nanotube-MMMs. Moreover, the average absolute relative errors between the experimental data and the predicted values of the proposed model are very small (less than 5%) in comparison with those of the existing models in the literature. To the best of our knowledge, this is the first study where such a systematic comparison between model predictions and such extensive experimental data is presented. Finally, the new way of assessing gas permeation data presented in the current work would be a simple alternative to complex approaches that are usually utilized to estimate interfacial thickness in polymer composites.
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Affiliation(s)
| | | | | | - Mohammad Karimi
- Department of Textile Engineering, Amirkabir University of Technology , Hafez Avenue, P.O. Box 15914, Tehran, Iran
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