Advances in Membrane Technology for Environmental Protection/Remediation

A special issue of Membranes (ISSN 2077-0375). This special issue belongs to the section "Membrane Applications".

Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 7164

Special Issue Editors


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Guest Editor
Chemical Engineering Department, Faculty of Engineering, University of Porto, Porto, Portugal
Interests: separation processes; environmental engineering; sustainability; renewable energy

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Guest Editor
Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz 5157944533, Iran
Interests: separation process and technology; machine learning methods; sustainable and renewable energy
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Special Issue Information

Dear Colleagues,

Membrane-based technologies are direct, effective, and sustainable processes that protect the environment through remediation gas, liquid, and solid waste streams. Such technology, which uses no treatment chemicals, offers significant advantages over other available separation processes. Indeed, membrane-based techniques have been widely applied in drinking water and wastewater treatment, desalination, CO2 capture and sequestration, waste gas treatment, emerging contaminant removal, and clean energy production. In spite of importance of their potential for environment protection and waste treatment and reuse, membrane-based technologies have not attracted the attention that they deserve. The latest advances in fabrication routes, characterization, and separation efficiency of membranes should thus be studied in depth.

The present Special Issue, “Advance in Membrane Technology for environmental protection/remediation”, will highlight the most recent modelling and experimental (laboratory-, pilot-, and industrial-scale) achievements related to the application of membranes for both environmental protection and remediation. Since physical, chemical, and biological solid deposition is among the most important operating problem associated with this membrane-based process, this Special Issue will also cover the monitoring and resolution of these types of fouling.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Advances in membrane technology for environmental protection/remediation;
  • Membrane-based adsorbents for environmental protection/remediation;
  • Membrane-based technology for removing emerging contaminants;
  • Membrane-based technology for water and wastewater treatment;
  • Membrane bioreactors for wastewater treatment and reuse;
  • Membrane-based technology for gas separation and waste gas treatment;
  • Membrane-based technology for oil and water desalination;
  • Advance in membrane technology for CO2 capture and sequestration;
  • Membrane-based technology for clean energy production;
  • Monitoring, characterization, and cleaning of the membrane fouling.

We look forward to receiving your contributions.

Dr. Mohsen Karimi
Dr. Behzad Vaferi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Membranes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • membrane-based technology
  • membrane bioreactor
  • environmental protection/remediation
  • CO2 capture and sequestration
  • wastewater treatment
  • waste gas treatment
  • removing emerging contaminants
  • clean energy production
  • fouling in membrane

Published Papers (4 papers)

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Research

14 pages, 2010 KiB  
Article
Simulating and Comparing CO2/CH4 Separation Performance of Membrane–Zeolite Contactors by Cascade Neural Networks
by Seyyed Amirreza Abdollahi, AmirReza Andarkhor, Afham Pourahmad, Ali Hosin Alibak, Falah Alobaid and Babak Aghel
Membranes 2023, 13(5), 526; https://doi.org/10.3390/membranes13050526 - 18 May 2023
Cited by 2 | Viewed by 1368
Abstract
Separating carbon dioxide (CO2) from gaseous streams released into the atmosphere is becoming critical due to its greenhouse effect. Membrane technology is one of the promising technologies for CO2 capture. SAPO-34 filler was incorporated in polymeric media to synthesize mixed [...] Read more.
Separating carbon dioxide (CO2) from gaseous streams released into the atmosphere is becoming critical due to its greenhouse effect. Membrane technology is one of the promising technologies for CO2 capture. SAPO-34 filler was incorporated in polymeric media to synthesize mixed matrix membrane (MMM) and enhance the CO2 separation performance of this process. Despite relatively extensive experimental studies, there are limited studies that cover the modeling aspects of CO2 capture by MMMs. This research applies a special type of machine learning modeling scenario, namely, cascade neural networks (CNN), to simulate as well as compare the CO2/CH4 selectivity of a wide range of MMMs containing SAPO-34 zeolite. A combination of trial-and-error analysis and statistical accuracy monitoring has been applied to fine-tune the CNN topology. It was found that the CNN with a 4-11-1 topology has the highest accuracy for the modeling of the considered task. The designed CNN model is able to precisely predict the CO2/CH4 selectivity of seven different MMMs in a broad range of filler concentrations, pressures, and temperatures. The model predicts 118 actual measurements of CO2/CH4 selectivity with an outstanding accuracy (i.e., AARD = 2.92%, MSE = 1.55, R = 0.9964). Full article
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15 pages, 2125 KiB  
Article
Developing a Hybrid Neuro-Fuzzy Method to Predict Carbon Dioxide (CO2) Permeability in Mixed Matrix Membranes Containing SAPO-34 Zeolite
by Ali Hosin Alibak, Seyed Mehdi Alizadeh, Shaghayegh Davodi Monjezi, As’ad Alizadeh, Falah Alobaid and Babak Aghel
Membranes 2022, 12(11), 1147; https://doi.org/10.3390/membranes12111147 - 16 Nov 2022
Cited by 5 | Viewed by 1674
Abstract
This study compares the predictive performance of different classes of adaptive neuro-fuzzy inference systems (ANFIS) in predicting the permeability of carbon dioxide (CO2) in mixed matrix membrane (MMM) containing the SAPO-34 zeolite. The hybrid neuro-fuzzy technique uses the MMM chemistry, pressure, [...] Read more.
This study compares the predictive performance of different classes of adaptive neuro-fuzzy inference systems (ANFIS) in predicting the permeability of carbon dioxide (CO2) in mixed matrix membrane (MMM) containing the SAPO-34 zeolite. The hybrid neuro-fuzzy technique uses the MMM chemistry, pressure, and temperature to estimate CO2 permeability. Indeed, grid partitioning (GP), fuzzy C-means (FCM), and subtractive clustering (SC) strategies are used to divide the input space of ANFIS. Statistical analyses compare the performance of these strategies, and the spider graph technique selects the best one. As a result of the prediction of more than 100 experimental samples, the ANFIS with the subtractive clustering method shows better accuracy than the other classes. The hybrid optimization algorithm and cluster radius = 0.55 are the best hyperparameters of this ANFIS model. This neuro-fuzzy model predicts the experimental database with an absolute average relative deviation (AARD) of less than 3% and a correlation of determination higher than 0.995. Such an intelligent model is not only straightforward but also helps to find the best MMM chemistry and operating conditions to maximize CO2 separation. Full article
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15 pages, 4823 KiB  
Article
S- and N-Co-Doped TiO2-Coated Al2O3 Hollow Fiber Membrane for Photocatalytic Degradation of Gaseous Ammonia
by Jae Yeon Hwang, Edoardo Magnone, Jeong In Lee, Xuelong Zhuang, Min Chang Shin and Jung Hoon Park
Membranes 2022, 12(11), 1101; https://doi.org/10.3390/membranes12111101 - 04 Nov 2022
Viewed by 1709
Abstract
This study successfully prepared and tested sulfur- and nitrogen-co-doped TiO2-coated α-Al2O3 (S,N-doped TiO2/Al2O3) hollow fiber (HF) membranes for efficient photocatalytic degradation of gaseous ammonia (NH3). Thiourea was used as a [...] Read more.
This study successfully prepared and tested sulfur- and nitrogen-co-doped TiO2-coated α-Al2O3 (S,N-doped TiO2/Al2O3) hollow fiber (HF) membranes for efficient photocatalytic degradation of gaseous ammonia (NH3). Thiourea was used as a sulfur- and nitrogen-doping source to produce a S,N-doped TiO2 photocatalyst powder. For comparative purposes, undoped TiO2 powder was also synthesized. Through the application of a phase-inversion technique combined with high-temperature sintering, hollow fibers composed of α-Al2O3 were developed. Undoped TiO2 and S,N-doped TiO2 photocatalyst powders were coated on the α-Al2O3 HF surface to obtain undoped TiO2/Al2O3 and S,N-doped TiO2/Al2O3 HF membranes, respectively. All prepared samples were characterized using XRD, TEM, XPS, UV-Vis, SEM, BET, FT-IR, and EDS. S and N dopants were confirmed using XPS and UV-Vis spectra. The crystal phase of the undoped TiO2 and S,N-doped TiO2 photocatalysts was a pure anatase phase. A portable air purifier photocatalytic filter device was developed and tested for the first time to decrease the amount of indoor NH3 pollution under the limits of the lachrymatory threshold. The device, which was made up of 36 S,N-doped TiO2/Al2O3 HF membranes, took only 15–20 min to reduce the level of NH3 in a test chamber from 50 ppm to around 5 ppm, confirming the remarkable performance regarding the photocatalytic degradation of gaseous NH3. Full article
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10 pages, 1218 KiB  
Article
Three- and Multi-Phase Extraction as a Tool for the Implementation of Liquid Membrane Separation Methods in Practice
by Artak E. Kostanyan, Vera V. Belova and Andrey A. Voshkin
Membranes 2022, 12(10), 926; https://doi.org/10.3390/membranes12100926 - 25 Sep 2022
Cited by 4 | Viewed by 1774
Abstract
To promote the implementation of liquid membrane separations in industry, we have previously proposed extraction methods called three- and multi-phase extraction. The three-phase multi-stage extraction is carried out in a cascade of bulk liquid membrane separation stages, each comprising two interconnected (extraction and [...] Read more.
To promote the implementation of liquid membrane separations in industry, we have previously proposed extraction methods called three- and multi-phase extraction. The three-phase multi-stage extraction is carried out in a cascade of bulk liquid membrane separation stages, each comprising two interconnected (extraction and stripping) chambers. The organic liquid membrane phase recycles between the chambers within the same stage. In multi-phase extraction, each separation stage includes a scrubbing chamber, located between the extraction and stripping chambers. The three- and multi-phase multi-stage extraction technique can be realized either in a series of mixer–settler extractors or in special two- or multi-chamber extraction apparatuses, in which the convective circulation of continuous membrane phase between the chambers takes place due to the difference in emulsion density in the chambers. The results of an experimental study of the extraction of phenol from sulfuric acid solutions in the three-phase extractors with convective circulation of continuous membrane phase are presented. Butyl acetate was used as an extractant. The stripping of phenol from the organic phase was carried out with 5–12% NaOH aqueous solutions. The prospects of using three-phase extractors for wastewater treatment from phenol are shown. An increase in the efficiency of three-phase extraction can be achieved by carrying out the process in a cascade of three-phase apparatuses. Full article
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