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Farhan NM, Ibrahim SS, Alsalhy QF. Modeling and simulation of pervaporation (PV) separation for alcohol dehydration. Heliyon 2023; 9:e13713. [PMID: 36852057 PMCID: PMC9958449 DOI: 10.1016/j.heliyon.2023.e13713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/01/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
The separation performance of commercial crosslinked poly (vinyl alcohol) (PVA) membranes (i.e., the new commercial membrane PERVAP™ 4100 H F and standard membrane PERVAP™ 4100) used for the dehydration of two alcohol-water systems (i.e., ethanol-water and isopropanol-water mixtures, with an azeotropic point) were studied based on pervaporation process (PV) experimental data and mathematical modeling. Pervaporation process experiments proved that these two membranes have excellent applicability for the dehydration of alcohol. A semi-empirical solution-diffusion transport model was developed to describe the mass transport in the PVA membranes, which showed a good agreement with the experimental values. The universal quasi-chemical (UNIQUAC) model was utilized to predict the activity coefficient of nonideal alcohol-water systems in PVA membranes. In addition to the UNIQUAC model, the transport of alcohol-water across the commercial polymeric membrane was modeled using the conventional driving force model. The PV process experimental data with the mathematical model were used to develop the diffusivity correlations for water and alcohol (i.e., ethanol and isopropanol) through the PVA membranes. It was found that for swollen membranes (PVA), the developed correlations of water and alcohol diffusivity were strongly influenced by the feed water activity and feed temperature. Based on the mass transport model and developed diffusivity correlations, the permeation flux of water and alcohol through the PVA membranes was predicted, and the results showed a good agreement between the experimental data and the predictive model. The mean relative errors estimated for the permeate mass fluxes of water were 8.4%, and 3.8%, and for the permeate mass fluxes of ethanol were 18%, and 13.6% for the PERVAP™ 4100 and 4100 H F, respectively, as well as for the IPA-water-PVA system are as follows: 5% and 2.8% for the permeate mass fluxes of water and 14.4%, and 12.6% for the permeate mass fluxes of IPA for the PERVAP™ 4100 and 4100 H F, respectively.
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Affiliation(s)
- Nada Mahdi Farhan
- Membrane Technology Research Unit, Chemical Engineering Department, University of Technology-Iraq, Alsinaa Street 52, 10066-Baghdad, Iraq
| | - Salah S Ibrahim
- Membrane Technology Research Unit, Chemical Engineering Department, University of Technology-Iraq, Alsinaa Street 52, 10066-Baghdad, Iraq
| | - Qusay F Alsalhy
- Membrane Technology Research Unit, Chemical Engineering Department, University of Technology-Iraq, Alsinaa Street 52, 10066-Baghdad, Iraq
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2
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Rasheed SH, Ibrahim SS, Alsalhy QF, Salih IK. Separation of Soluble Benzene from an Aqueous Solution by Pervaporation Using a Commercial Polydimethylsiloxane Membrane. MEMBRANES 2022; 12:1040. [PMID: 36363595 PMCID: PMC9692613 DOI: 10.3390/membranes12111040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
A developed polydimethylsiloxane (PDMS) membrane was used to separate soluble benzene compounds (C6H6) from an aqueous solution via a pervaporation (PV) process. This membrane was characterized by scanning electron microscopy (SEM), Fourier-transform infrared (FTIR) spectroscopy, contact angle (CA), and energy-dispersive spectroscopy (EDS). To evaluate the performance of the membrane, the separation factor and permeation flux were estimated in various operating conditions, including the feed temperature, initial benzene concentration, and feed flow rate. The experiments to maximize the separation factor and permeation flux were designed using the response surface method (RSM) that is built into Minitab 18. A quadratic model (nonlinear regression equation) was suggested to obtain mathematical expressions to predict the benzene permeation flux and the separation factor according to the effect of the parameters' interaction. The optimization of the PV was performed using an RSM that was based on the analysis of variance (ANOVA). The optimal values of the benzene permeation flux and separation factor were 6.7 g/m2·h and 39.8, respectively, at the optimal conditions of temperature (30 °C), initial concentration of benzene (1000 ppm), and feed flow rate (3.5 L/min). It was found that the feed concentration was the most influential parameter, leading to a significant increase in the permeation flux and separation factor of the PDMS membrane.
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Affiliation(s)
- Salam H. Rasheed
- Membrane Technology Research Unit, Department of Chemical Engineering, University of Technology-Iraq, Alsinaa Street 52, Baghdad 10066, Iraq
| | - Salah S. Ibrahim
- Membrane Technology Research Unit, Department of Chemical Engineering, University of Technology-Iraq, Alsinaa Street 52, Baghdad 10066, Iraq
| | - Qusay F. Alsalhy
- Membrane Technology Research Unit, Department of Chemical Engineering, University of Technology-Iraq, Alsinaa Street 52, Baghdad 10066, Iraq
| | - Issam K. Salih
- Department of Chemical Engineering and Petroleum Industries, Al-Mustaqbal University College, Babylon 51001, Iraq
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3
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Ricci E, Minelli M, De Angelis MG. Modelling Sorption and Transport of Gases in Polymeric Membranes across Different Scales: A Review. MEMBRANES 2022; 12:membranes12090857. [PMID: 36135877 PMCID: PMC9502097 DOI: 10.3390/membranes12090857] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/24/2022] [Accepted: 08/27/2022] [Indexed: 06/02/2023]
Abstract
Professor Giulio C. Sarti has provided outstanding contributions to the modelling of fluid sorption and transport in polymeric materials, with a special eye on industrial applications such as membrane separation, due to his Chemical Engineering background. He was the co-creator of innovative theories such as the Non-Equilibrium Theory for Glassy Polymers (NET-GP), a flexible tool to estimate the solubility of pure and mixed fluids in a wide range of polymers, and of the Standard Transport Model (STM) for estimating membrane permeability and selectivity. In this review, inspired by his rigorous and original approach to representing membrane fundamentals, we provide an overview of the most significant and up-to-date modeling tools available to estimate the main properties governing polymeric membranes in fluid separation, namely solubility and diffusivity. The paper is not meant to be comprehensive, but it focuses on those contributions that are most relevant or that show the potential to be relevant in the future. We do not restrict our view to the field of macroscopic modelling, which was the main playground of professor Sarti, but also devote our attention to Molecular and Multiscale Hierarchical Modeling. This work proposes a critical evaluation of the different approaches considered, along with their limitations and potentiality.
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Affiliation(s)
- Eleonora Ricci
- Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Alma Mater Studiorum—University of Bologna, 40126 Bologna, Italy
| | - Matteo Minelli
- Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Alma Mater Studiorum—University of Bologna, 40126 Bologna, Italy
| | - Maria Grazia De Angelis
- Institute for Materials and Processes, School of Engineering, University of Edinburgh, Edinburgh EH9 3FB, UK
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4
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Sapegin DA, Chekmachev AV. PyVaporation: A Python Package for Studying and Modelling Pervaporation Processes. MEMBRANES 2022; 12:784. [PMID: 36005699 PMCID: PMC9416308 DOI: 10.3390/membranes12080784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
PyVaporation-a freely available Python package with an open-source code for modelling and studying pervaporation processes-is introduced. The theoretical background of the solution, its applicability and limitations are discussed. The usability of the package is evaluated using various examples of working with and modelling experimental data. A general equation for the representation of a component's permeance as a function of feed composition, temperature and initial feed composition is proposed and implemented in the developed package. The suggested general permeance equation may be used for the description of an extremal character of permeance as a function of process temperature and feed composition, allowing the description of processes with a high degree of non-ideality. The application of the package allowed modelling experimental points of various sets of hydrophilic pervaporation data and data on membrane performance from independent sources with a relative root mean square deviation of not more than 9% for flux and not more than 5% for a separated mixture concentration. The application of the facilitated parameter approach allowed the prediction of the components' permeance as a function of feed concentration at various initial feed concentrations with a relative root mean square error of 3-26%. The package was proven useful for modelling isothermal and adiabatic time and length-dependent pervaporation processes. The comparison of the models obtained with PyVaporation with models provided in the literature indicated similar accuracy of the obtained results, thereby proving the applicability of the developed package.
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Lakshmy KS, Lal D, Nair A, Babu A, Das H, Govind N, Dmitrenko M, Kuzminova A, Korniak A, Penkova A, Tharayil A, Thomas S. Pervaporation as a Successful Tool in the Treatment of Industrial Liquid Mixtures. Polymers (Basel) 2022; 14:polym14081604. [PMID: 35458354 PMCID: PMC9029804 DOI: 10.3390/polym14081604] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/02/2022] [Accepted: 04/08/2022] [Indexed: 02/01/2023] Open
Abstract
Pervaporation is one of the most active topics in membrane research, and it has time and again proven to be an essential component for chemical separation. It has been employed in the removal of impurities from raw materials, separation of products and by-products after reaction, and separation of pollutants from water. Given the global problem of water pollution, this approach is efficient in removing hazardous substances from water bodies. Conventional processes are based on thermodynamic equilibria involving a phase transition such as distillation and liquid-liquid extraction. These techniques have a relatively low efficacy and nowadays they are not recommended because it is not sustainable in terms of energy consumption and/or waste generation. Pervaporation emerged in the 1980s and is now becoming a popular membrane separation technology because of its intrinsic features such as low energy requirements, cheap separation costs, and good quality product output. The focus of this review is on current developments in pervaporation, mass transport in membranes, material selection, fabrication and characterization techniques, and applications of various membranes in the separation of chemicals from water.
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Affiliation(s)
- Kadavil Subhash Lakshmy
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Devika Lal
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Anandu Nair
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Allan Babu
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Haritha Das
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Neethu Govind
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
| | - Mariia Dmitrenko
- St. Petersburg State University, 7/9 Universitetskaya nab., 199034 St. Petersburg, Russia; (M.D.); (A.K.); (A.K.)
| | - Anna Kuzminova
- St. Petersburg State University, 7/9 Universitetskaya nab., 199034 St. Petersburg, Russia; (M.D.); (A.K.); (A.K.)
| | - Aleksandra Korniak
- St. Petersburg State University, 7/9 Universitetskaya nab., 199034 St. Petersburg, Russia; (M.D.); (A.K.); (A.K.)
| | - Anastasia Penkova
- St. Petersburg State University, 7/9 Universitetskaya nab., 199034 St. Petersburg, Russia; (M.D.); (A.K.); (A.K.)
- Correspondence: (A.P.); (A.T.)
| | - Abhimanyu Tharayil
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
- Correspondence: (A.P.); (A.T.)
| | - Sabu Thomas
- School of Energy Materials, Mahatma Gandhi University, Kottayam 686560, Kerala, India; (K.S.L.); (D.L.); (A.N.); (A.B.); (H.D.); (N.G.); (S.T.)
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6
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Pereira M, Brazinha C, Crespo J. Pervaporation recovery of valuable aromas from by-products of the seafood industry: Modelling of fractionated condensation for off-flavour removal. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.120441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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7
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Zentou H, Abidin ZZ, Yunus R, Awang Biak DR, Abdullah Issa M, Yahaya Pudza M. Modelling of mass transfer during pervaporation of ethanol/water mixture using polydimethylsiloxane membrane. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.09.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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8
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Mass transport and pervaporation recovery of aniline with high-purity from dilute aqueous solution by PEBA/PVDF composite membranes. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.118708] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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9
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Vatankhah F, Moheb A, Mehrabani-Zeinabad A. A study on the effects of feed temperature and concentration on design of a multi-stage pervaporation system for isopropanol-water separation using commercial available modules with inter-stage heating. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2020.118717] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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10
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Szilagyi B, Toth AJ. Improvement of Component Flux Estimating Model for Pervaporation Processes. MEMBRANES 2020; 10:E418. [PMID: 33322241 PMCID: PMC7764873 DOI: 10.3390/membranes10120418] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 12/05/2020] [Accepted: 12/10/2020] [Indexed: 11/23/2022]
Abstract
Separating non-ideal mixtures by pervaporation (hence PV) is a competitive alternative to most traditional methods, such as distillation, which are based on the vapour-liquid equilibrium (VLE). It must be said, in many cases, accurate VLE data are already well known in the literature. They make the method of PV modelling a lot more complicated, and most of the viable models are (semi)empirical and focus on component flux (Ji) estimation. The pervaporation model of Mizsey and Valentinyi, which is based on Rautenbach's works, is further improved in this work and tested rigorously by statistical means. Until now, this type of exponential modelling was only used for alcohol-water mixtures, but in this work, it was extended to an ethyl acetate-water binary mixture as well. Furthermore, a flowchart of modelling is presented for the first time in the case of an exponential pervaporation model. The results of laboratory-scale experiments were used as the basis of the study and least squares approximation was used to compare them to the different model's estimations. According to our results, Valentinyi's model (Model I) and the alternative model (Model III) appear to be the best methods for PV modelling, and there is no significant difference between the models, mainly in organophilic cases. In the case of the permeation component, Model I, which better follows the exponential function, is recommended. It is important to emphasize that our research confirms that the exponential type model seems to be universally feasible for most organic-water binary mixtures. Another novelty of the work is that after PDMS and PVA-based membranes, the accuracy of the semiempirical model for the description of water flux on a PEBA-based membrane was also proved, in the organophilic case.
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Affiliation(s)
| | - Andras Jozsef Toth
- Environmental and Process Engineering Research Group, Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary;
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11
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Ultrathin poly (vinyl alcohol)/MXene nanofilm composite membrane with facile intrusion-free construction for pervaporative separations. J Memb Sci 2020. [DOI: 10.1016/j.memsci.2020.118490] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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12
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Minelli M, Sarti GC. Modeling mass transport in dense polymer membranes: cooperative synergy among multiple scale approaches. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2020.01.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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13
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Phinney R, Tivana LD, Östbring K, Sjöholm I, Dhulappanavar G, Jeje I, Guibundana D, Rayner M. Concentration of citrus fruit juices in membrane pouches with solar energy Part 2: How solar drying setup and juice pretreatment determine the microbiological quality. J FOOD PROCESS ENG 2020. [DOI: 10.1111/jfpe.13377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Randi Phinney
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | - Lucas Daniel Tivana
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Karolina Östbring
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | - Ingegerd Sjöholm
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | | | - Imaculada Jeje
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Deize Guibundana
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Marilyn Rayner
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
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14
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Valentinyi N, Andre A, Haaz E, Fozer D, Toth AJ, Nagy T, Mizsey P. Experimental investigation and modeling of the separation of ternary mixtures by hydrophilic pervaporation. SEP SCI TECHNOL 2020. [DOI: 10.1080/01496395.2019.1569692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Nora Valentinyi
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Anita Andre
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Eniko Haaz
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Daniel Fozer
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Andras Jozsef Toth
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Tibor Nagy
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
| | - Peter Mizsey
- Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, Hungary
- Department of Fine Chemicals and Environmental Technology, University of Miskolc, Miskolc, Hungary
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15
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Dudek G, Borys P, Strzelewicz A, Krasowska M. Characterization of the Structure and Transport Properties of Alginate/Chitosan Microparticle Membranes Utilized in the Pervaporative Dehydration of Ethanol. Polymers (Basel) 2020; 12:E411. [PMID: 32054056 PMCID: PMC7077690 DOI: 10.3390/polym12020411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 02/05/2020] [Accepted: 02/09/2020] [Indexed: 11/26/2022] Open
Abstract
The structure and transport properties of alginate/chitosan microparticle membranes used in ethanol dehydration processes were investigated. The membranes were characterized based on images obtained from high-resolution microscopy. The following parameters were determined: the observed total amount of void space, the average size of the void domains, their length and diameter, the fractal dimension, and the generalized stochastic fractal parameters. The total amount of void space was determined to be between 54% and 64%. The average size of the void domains is smaller for alginate membranes containing neat (CS) and phosphorylated (CS-P) chitosan particles when compared to those membranes filled with glycidol-modified (CS-G) and glutaraldehyde crosslinked (CS-GA) chitosan particles. Furthermore, the transport of ethanol and water particles through the studied membranes was modelled using a random walk framework. It was observed that the results from the theoretical and experimental studies are directly correlated. The smallest values of water to ethanol diffusion coefficient ratios (i.e., 14) were obtained for Alg (sodium alginate) membranes loaded with the CS and CS-P particles, respectively. Significantly larger values (27 and 19) were noted for membranes filled with CS-G and CS-GA particles, respectively. The simulation results show that the size of channels which develop in the alginate matrix is less suited for ethanol molecules compared to water molecules because of their larger size. Such a situation facilitates the separation of water from ethanol. The comparison of the structural analysis of the membranes and random walk simulations allows one to understand the factors that influence the transport phenomena, in the studied membranes, and comment on the effect of the length, diameter, number of channels, and variations in the pore diameters on these transport parameters.
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Affiliation(s)
- Gabriela Dudek
- Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, Strzody 9, 44-100 Gliwice, Poland; (P.B.); (A.S.); (M.K.)
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16
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Phinney R, Tivana LD, Sjöholm I, Östbring K, Jeje I, Guibundana D, Rayner M. Concentration of citrus fruit juices in membrane pouches with solar energy Part 1: How solar drying setup and juice pretreatment determine the drying flux. J FOOD PROCESS ENG 2019. [DOI: 10.1111/jfpe.13335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Randi Phinney
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | - Lucas D. Tivana
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Ingegerd Sjöholm
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | - Karolina Östbring
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
| | - Imaculada Jeje
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Deize Guibundana
- Faculty of Agronomy and Forestry EngineeringEduardo Mondlane University Maputo Mozambique
| | - Marilyn Rayner
- Department of Food Technology, Engineering and NutritionLund University Lund Sweden
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17
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Minelli M, Sarti GC. 110th Anniversary: Gas and Vapor Sorption in Glassy Polymeric Membranes—Critical Review of Different Physical and Mathematical Models. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b05453] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Matteo Minelli
- Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali (DICAM), Università di Bologna, Via Terracini 28, 40131 Bologna, Italy
| | - Giulio C. Sarti
- Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali (DICAM), Università di Bologna, Via Terracini 28, 40131 Bologna, Italy
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18
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Qiu B, Wang Y, Fan S, Liu J, Jian S, Qin Y, Xiao Z, Tang X, Wang W. Ethanol mass transfer during pervaporation with PDMS membrane based on solution-diffusion model considering concentration polarization. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2019.03.021] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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19
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Overview of Alternative Ethanol Removal Techniques for Enhancing Bioethanol Recovery from Fermentation Broth. Processes (Basel) 2019. [DOI: 10.3390/pr7070458] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
This study aims at reviewing the alternative techniques for bioethanol recovery, highlighting its advantages and disadvantages, and to investigate the technical challenges facing these alternatives to be widely used. The findings showed that the integration of these techniques with the fermentation process did not meet a large acceptance in the industrial sector. The majority of conducted studies were mainly focusing on ethanol recovery from aqueous standard solution rather than the investigation of these techniques performance in fermentation-separation coupled system. In this context, pervaporation has received more attention as a promising alternative to distillation. However, some challenges are facing the integration of these techniques in the industrial scale as the fouling problem in pervaporation, the toxicity of solvent in liquid extraction, energy consumption in vacuum fermentation. It was also found that there is a lack of the technical economic analysis for these techniques which may limit the spread of its application in the large scale. Currently, hybrid systems integrating distillation with other alternative techniques are considered as an innovative solution to reduce the high cost of the distillation process and the low separation efficiency of the alternatives techniques.
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Singha NR, Karmakar M, Chattopadhyay PK, Roy S, Deb M, Mondal H, Mahapatra M, Dutta A, Mitra M, Roy JSD. Structures, Properties, and Performances-Relationships of Polymeric Membranes for Pervaporative Desalination. MEMBRANES 2019; 9:E58. [PMID: 31052381 PMCID: PMC6572519 DOI: 10.3390/membranes9050058] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/18/2019] [Accepted: 04/19/2019] [Indexed: 12/03/2022]
Abstract
For the fulfilment of increasing global demand and associated challenges related to the supply of clean-and-safe water, PV has been considered as one of the most attractive and promising areas in desalinating salty-water of varied salinities. In pervaporative desalination, the sustainability, endurance, and structural features of membrane, along with operating parameters, play the dominant roles and impart paramount impact in governing the overall PV efficiency. Indeed, polymeric- and organic-membranes suffer from several drawbacks, including inferior structural stability and durability, whereas the fabrication of purely inorganic membranes is complicated and costly. Therefore, recent development on the high-performance and cost-friendly PV membrane is mostly concentrated on synthesizing composite- and NCP-membranes possessing the advantages of both organic- and inorganic-membranes. This review reflects the insights into the physicochemical properties and fabrication approaches of different classes of PV membranes, especially composite- and NCP-membranes. The mass transport mechanisms interrelated to the specialized structural features have been discussed. Additionally, the performance potential and application prospects of these membranes in a wide spectrum of desalination and wastewater treatment have been elaborated. Finally, the challenges and future perspectives have been identified in developing and scaling up different high-performance membranes suitable for broader commercial applications.
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Affiliation(s)
- Nayan Ranjan Singha
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Mrinmoy Karmakar
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Pijush Kanti Chattopadhyay
- Department of Leather Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Sagar Roy
- Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, NJ 07102, USA.
| | - Mousumi Deb
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Himarati Mondal
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Manas Mahapatra
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Arnab Dutta
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Madhushree Mitra
- Department of Leather Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
| | - Joy Sankar Deb Roy
- Advanced Polymer Laboratory, Department of Polymer Science and Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
- Department of Leather Technology, Government College of Engineering and Leather Technology (Post Graduate), Maulana Abul Kalam Azad University of Technology, Salt Lake City, Kolkata 700106, West Bengal, India.
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Asghari M, Dashti A, Rezakazemi M, Jokar E, Halakoei H. Application of neural networks in membrane separation. REV CHEM ENG 2018. [DOI: 10.1515/revce-2018-0011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Artificial neural networks (ANNs) as a powerful technique for solving complicated problems in membrane separation processes have been employed in a wide range of chemical engineering applications. ANNs can be used in the modeling of different processes more easily than other modeling methods. Besides that, the computing time in the design of a membrane separation plant is shorter compared to many mass transfer models. The membrane separation field requires an alternative model that can work alone or in parallel with theoretical or numerical types, which can be quicker and, many a time, much more reliable. They are helpful in cases when scientists do not thoroughly know the physical and chemical rules that govern systems. In ANN modeling, there is no requirement for a deep knowledge of the processes and mathematical equations that govern them. Neural networks are commonly used for the estimation of membrane performance characteristics such as the permeate flux and rejection over the entire range of the process variables, such as pressure, solute concentration, temperature, superficial flow velocity, etc. This review investigates the important aspects of ANNs such as methods of development and training, and modeling strategies in correlation with different types of applications [microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), reverse osmosis (RO), electrodialysis (ED), etc.]. It also deals with particular types of ANNs that have been confirmed to be effective in practical applications and points out the advantages and disadvantages of using them. The combination of ANN with accurate model predictions and a mechanistic model with less accurate predictions that render physical and chemical laws can provide a thorough understanding of a process.
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Affiliation(s)
- Morteza Asghari
- Separation Processes Research Group (SPRG), Department of Engineering , University of Kashan , Kashan 8731753153 , Iran
- Energy Research Institute , University of Kashan , Ghotb–e–Ravandi Avenue , Kashan , Iran
| | - Amir Dashti
- Separation Processes Research Group (SPRG), Department of Engineering , University of Kashan , Kashan 8731753153 , Iran
| | - Mashallah Rezakazemi
- Faculty of Chemical and Materials Engineering , Shahrood University of Technology , Shahrood , Iran
| | - Ebrahim Jokar
- Separation Processes Research Group (SPRG), Department of Engineering , University of Kashan , Kashan 8731753153 , Iran
| | - Hadi Halakoei
- Separation Processes Research Group (SPRG), Department of Engineering , University of Kashan , Kashan 8731753153 , Iran
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Ebneyamini A, Azimi H, Thibault J, Tezel FH. Description of butanol aqueous solution transport through commercial PDMS pervaporation membrane using extended Maxwell–Stefan model. SEP SCI TECHNOL 2018. [DOI: 10.1080/01496395.2018.1441303] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Arian Ebneyamini
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, Ontario, Canada
| | - Hoda Azimi
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, Ontario, Canada
| | - Jules Thibault
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, Ontario, Canada
| | - F. Handan Tezel
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, Ontario, Canada
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Predicting mass fluxes in the pervaporation process using Maxwell-Stefan diffusion coefficients. J Memb Sci 2018. [DOI: 10.1016/j.memsci.2017.08.074] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Aghakarimiha M, Raisi A, Pazuki G. A compositional model based on SAFT-VR and Maxwell-Stefan equations for pervaporative separation of aroma compounds from aqueous solutions. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2017.11.165] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Ebneyamini A, Azimi H, Tezel FH, Thibault J. Modelling of mixed matrix membranes: Validation of the resistance-based model. J Memb Sci 2017. [DOI: 10.1016/j.memsci.2017.08.064] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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On non-equilibrium thermodynamics approach for the analysis of membrane processes: a case study of pervaporation. MONATSHEFTE FUR CHEMIE 2017. [DOI: 10.1007/s00706-017-2104-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Khazaei A, Mohebbi V, Behbahani RM, Ramazani S.A. A. Pervaporation of toluene and iso-octane through poly(vinyl alcohol)/graphene oxide nanoplate mixed matrix membranes: Comparison of crosslinked and noncrosslinked membranes. J Appl Polym Sci 2017. [DOI: 10.1002/app.45853] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Ali Khazaei
- Department of Gas Engineering; Petroleum University of Technology; Ahwaz 63431 Iran
| | - Vahid Mohebbi
- Department of Gas Engineering; Petroleum University of Technology; Ahwaz 63431 Iran
| | - Reza M. Behbahani
- Department of Gas Engineering; Petroleum University of Technology; Ahwaz 63431 Iran
| | - Ahmad Ramazani S.A.
- Department of Chemical and Petroleum Engineering; Sharif University of Technology; Tehran Iran
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Khazaei A, Mohebbi V, Behbahani RM, Ramazani S.A. A. Poly(Vinyl Alcohol)/Graphene Oxide Mixed Matrix Membranes for Pervaporation of Toluene and Isooctane. POLYMER-PLASTICS TECHNOLOGY AND ENGINEERING 2017; 56:1286-1294. [DOI: 10.1080/03602559.2016.1275682] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Affiliation(s)
- Ali Khazaei
- Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
| | - Vahid Mohebbi
- Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
| | - Reza M. Behbahani
- Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
| | - Ahmad Ramazani S.A.
- Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran
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31
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Nyflött Å, Petkova-Olsson Y, Moons E, Bonnerup C, Järnström L, Carlsson G, Lestelius M, Minelli M. Modeling of oxygen permeation through filled polymeric layers for barrier coatings. J Appl Polym Sci 2017. [DOI: 10.1002/app.44834] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Åsa Nyflött
- Department of Engineering and Chemical Sciences; Karlstad University; SE-651 88 Karlstad Sweden
- Stora Enso, Karlstad Research Centre; SE-650 09 Karlstad Sweden
| | - Yana Petkova-Olsson
- Department of Engineering and Chemical Sciences; Karlstad University; SE-651 88 Karlstad Sweden
| | - Ellen Moons
- Department of Engineering and Physics; Karlstad University; SE-651 88 Karlstad Sweden
| | - Chris Bonnerup
- Stora Enso, Karlstad Research Centre; SE-650 09 Karlstad Sweden
| | - Lars Järnström
- Department of Engineering and Chemical Sciences; Karlstad University; SE-651 88 Karlstad Sweden
| | - Gunilla Carlsson
- Department of Engineering and Chemical Sciences; Karlstad University; SE-651 88 Karlstad Sweden
| | - Magnus Lestelius
- Department of Engineering and Chemical Sciences; Karlstad University; SE-651 88 Karlstad Sweden
| | - Matteo Minelli
- Department of Civil, Chemical, Environmental and Materials Engineering, Alma Mater Studiorum; University of Bologna; I-40131 Bologna Italy
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Karimi M, Tashvigh AA, Asadi F, Ashtiani FZ. Determination of concentration-dependent diffusion coefficient of seven solvents in polystyrene systems using FTIR-ATR technique: experimental and mathematical studies. RSC Adv 2016. [DOI: 10.1039/c5ra25244j] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
In the present study a new mathematical model's outcome based on experimental data is considered to determine the diffusion coefficients in polystyrene/solvent systems as a function of solvent concentration.
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Affiliation(s)
- Mohammad Karimi
- Department of Textile Engineering
- Amirkabir University of Technology
- 15914 Tehran
- Iran
| | - Akbar Asadi Tashvigh
- Department of Chemical Engineering
- Amirkabir University of Technology
- 15914 Tehran
- Iran
| | - Fateme Asadi
- Department of Textile Engineering
- Amirkabir University of Technology
- 15914 Tehran
- Iran
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Darvishi A, Aroujalian A, Keshavarz Moraveji M, Pazuki G. Computational fluid dynamic modeling of a pervaporation process for removal of styrene from petrochemical wastewater. RSC Adv 2016. [DOI: 10.1039/c5ra18700a] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
In this study, a predictive model was developed to describe the process of separation of volatile organic compounds.
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Affiliation(s)
- Abdolmajid Darvishi
- Department of Chemical Engineering
- Amirkabir University of Technology (Tehran Polytechnic)
- Tehran 15875-4413
- Iran
| | - Abdolreza Aroujalian
- Department of Chemical Engineering
- Amirkabir University of Technology (Tehran Polytechnic)
- Tehran 15875-4413
- Iran
| | - Mostafa Keshavarz Moraveji
- Department of Chemical Engineering
- Amirkabir University of Technology (Tehran Polytechnic)
- Tehran 15875-4413
- Iran
| | - Gholamreza Pazuki
- Department of Chemical Engineering
- Amirkabir University of Technology (Tehran Polytechnic)
- Tehran 15875-4413
- Iran
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Vopička O, Radotínský D, Friess K. Sorption of vapour mixtures of methanol and dimethyl carbonate in PDMS: Experimental study. Eur Polym J 2015. [DOI: 10.1016/j.eurpolymj.2015.11.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Approximation and analysis of pervaporation of binary mixtures using nonequilibrium thermodynamics approach. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2015.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Holtbruegge J, Kuhlmann H, Lutze P. Process analysis and economic optimization of intensified process alternatives for simultaneous industrial scale production of dimethyl carbonate and propylene glycol. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2014.05.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Pervaporation of binary and ternary mixtures of acetone, isopropyl alcohol and water using polymeric membranes: Experimental characterisation and modelling. Chem Eng Sci 2014. [DOI: 10.1016/j.ces.2014.02.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Servel C, Roizard D, Favre E, Horbez D. Improved Energy Efficiency of a Hybrid Pervaporation/Distillation Process for Acetic Acid Production: Identification of Target Membrane Performances by Simulation. Ind Eng Chem Res 2014. [DOI: 10.1021/ie500467k] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Clément Servel
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, 1 rue Granville, 54000 Nancy, France
| | - Denis Roizard
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, 1 rue Granville, 54000 Nancy, France
| | - Eric Favre
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, 1 rue Granville, 54000 Nancy, France
| | - Dominique Horbez
- Solvay, Research & Innovation Center Paris, 52 rue de la Haie Coq, 93308 Aubervilliers, France
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A comparative study on the free volume theories for diffusivity through polymeric membrane in pervaporation process. J Appl Polym Sci 2014. [DOI: 10.1002/app.40581] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Holtbruegge J, Wierschem M, Steinruecken S, Voss D, Parhomenko L, Lutze P. Experimental investigation, modeling and scale-up of hydrophilic vapor permeation membranes: Separation of azeotropic dimethyl carbonate/methanol mixtures. Sep Purif Technol 2013. [DOI: 10.1016/j.seppur.2013.08.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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41
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Lutze P, Gorak A. Reactive and membrane-assisted distillation: Recent developments and perspective. Chem Eng Res Des 2013. [DOI: 10.1016/j.cherd.2013.07.011] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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42
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Vopička O, Friess K, Hynek V, Sysel P, Zgažar M, Šípek M, Pilnáček K, Lanč M, Jansen JC, Mason CR, Budd PM. Equilibrium and transient sorption of vapours and gases in the polymer of intrinsic microporosity PIM-1. J Memb Sci 2013. [DOI: 10.1016/j.memsci.2013.01.040] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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43
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Prediction of sorption in polymers using quantum chemical calculations: Application to polymer membranes. J Memb Sci 2013. [DOI: 10.1016/j.memsci.2012.09.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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44
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Valentínyi N, Cséfalvay E, Mizsey P. Modelling of pervaporation: Parameter estimation and model development. Chem Eng Res Des 2013. [DOI: 10.1016/j.cherd.2012.07.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Yang TH, Lue SJ. Modeling Sorption Behavior for Ethanol/Water Mixtures in a Cross-linked Polydimethylsiloxane Membrane Using the Flory-Huggins Equation. J MACROMOL SCI B 2012. [DOI: 10.1080/00222348.2012.750992] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Tzu-Huai Yang
- a Department of Chemical and Materials Engineering , Chang Gung University , Kwei-shan , Taoyuan , Taiwan
| | - Shingjiang Jessie Lue
- a Department of Chemical and Materials Engineering , Chang Gung University , Kwei-shan , Taoyuan , Taiwan
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Yang TH, Jessie Lue S. UNIQUAC and UNIQUAC-HB models for the sorption behavior of ethanol/water mixtures in a cross-linked polydimethylsiloxane membrane. J Memb Sci 2012. [DOI: 10.1016/j.memsci.2012.05.041] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Nguyen HH, Lee ST, Choi SH. Modeling of a Pervaporation Process for Concentrating Hydrogen Peroxide. KOREAN CHEMICAL ENGINEERING RESEARCH 2011. [DOI: 10.9713/kcer.2011.49.5.560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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49
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Modeling of multicomponent mass transfer across polymer films using a thermodynamically consistent formulation of the Maxwell–Stefan equations in terms of volume fractions. POLYMER 2011. [DOI: 10.1016/j.polymer.2011.06.042] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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50
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Bettens B, Verhoef A, van Veen HM, Vandecasteele C, Degrève J, Van der Bruggen B. Pervaporation of binary water–alcohol and methanol–alcohol mixtures through microporous methylated silica membranes: Maxwell–Stefan modeling. Comput Chem Eng 2010. [DOI: 10.1016/j.compchemeng.2010.03.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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