Synthetic Membrane Separation Science and Technology

A topical collection in Separations (ISSN 2297-8739). This collection belongs to the section "Materials in Separation Science".

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Editors


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Collection Editor
Department of Structure of Matter, Thermal Physics and Electronics Faculty of Physics, University Complutense of Madrid Avda. Complutense s/n, 28040 Madrid, Spain
Interests: membrane science and technology (membrane preparation; nanofibrous membranes; hollow fiber membranes; nanocomposite and mixed matrix membranes; membrane modification; membrane characterization; membrane processes)
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Collection Editor
Chemical Engineering Department, R2EM—Resource Recovery and Environmental Management Group, Escola de Enginyeria Barcelona Est (Barcelona TECH UPC), Av. Eduard Maristany, 16, 08019 Barcelona, Spain
Interests: membrane science and engineering; purification and concentration processes; transport phenomena; resource recovery; circularity
Special Issues, Collections and Topics in MDPI journals

Topical Collection Information

Dear Colleagues,

The progress of synthetic membranes for different efficient separation processes is seen as a tremendous advancement over the last decade thanks to remarkable improvements in membrane materials and modules engineering, optimized hybrid energy-efficient separation processes, significant breakthroughs in specific simulations and computational modeling including machine learning, well-organized and cooperative international networks, smart investments, and a series of successful development and implementation stories decisively moving towards the long-awaited circular green economy. We are pleased to invite you to submit your original research manuscript, critical review manuscript or short communication to this interesting Topical Collection on “Synthetic Membrane Separation Science and Technology”, which welcomes both theoretical and/or experimental studies dealing with, but not limited to, new or improved synthetic membranes for liquid, vapor and gas separation processes; related energy-efficient technologies for the recovery of resources and high-added value products;  fresh water production; wastewater reclamation and polishing; disinfection of waste streams; carbon capture; air purification; biogas upgrading; gas downstream operations; renewable energy generation; etc. 

Prof. Dr. Mohamed Khayet
Dr. Elena Guillen Burrieza
Collection Editors

Manuscript Submission Information

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Keywords

  • membrane materials
  • green materials
  • nanomaterials
  • nanostructured membranes
  • synthetic membranes
  • functional membranes
  • 2D membranes
  • mixed matrix membranes
  • liquid membranes
  • inorganic membranes
  • membrane modification
  • membrane modules
  • scaling/fouling/biofouling
  • membrane processes
  • membrane crystallization
  • water treatment
  • gas separation
  • wastewater reclamation
  • desalination
  • renewable energy production

Published Papers (1 paper)

2023

23 pages, 3600 KiB  
Article
A Topic Modeling Approach to Discover the Global and Local Subjects in Membrane Distillation Separation Process
by Ersin Aytaç and Mohamed Khayet
Separations 2023, 10(9), 482; https://doi.org/10.3390/separations10090482 - 02 Sep 2023
Cited by 3 | Viewed by 1648
Abstract
Membrane distillation (MD) is proposed as an environmentally friendly technology of emerging interest able to aid in the resolution of the worldwide water issue and brine processing by producing distilled water and treating high-saline solutions up to their saturation with a view toward [...] Read more.
Membrane distillation (MD) is proposed as an environmentally friendly technology of emerging interest able to aid in the resolution of the worldwide water issue and brine processing by producing distilled water and treating high-saline solutions up to their saturation with a view toward reaching zero liquid discharge (ZLD) at relatively low temperature requirements and a low operating hydrostatic pressure. Topic modeling (TM), which is a Machine Learning (ML) method combined with Natural Language Processing (NLP), is a customizable approach that is ideal for researching massive datasets with unknown themes. In this study, we used BERTopic, a new cutting-edge Python library for topic modeling, to explore the global and local themes in the MD separation literature. By using the BERTopic model, the words describing the collected dataset were detected together with over- and underexplored research topics to guide MD researchers in planning their future works. The results indicated that two global themes are widely discussed and are relevant to MD scientists abroad. In brief, these topics are permeate flux, heat-energy recovery, surface modification, and polyvinylidene fluoride hydrophobic membranes. BERTopic discovered 62 local concepts. The most researched local topics were solar applications, membrane scaling, and electrospun membranes, while the least investigated were boron removal, dairy effluent applications, and nickel wastewater treatment. In addition, the topics were illustrated in a 2D plane to better understand the obtained results. Full article
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