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  4. Open and FAIR data for nanofiltration in organic media: a unified approach

Open and FAIR data for nanofiltration in organic media: a unified approach

Publikationstyp
Journal Article
Date Issued
2025-01-01
Sprache
English
Author(s)
Van Buggenhout, Simon
Ignacz, Gergo
Caspers, Scout
Dhondt, Robin
Lenaerts, Marie
Lenaerts, Nathalie
Hosseinabadi, Sareh Rezaei
Nulens, Ines
Koeckelberghs, Guy
Ren, Yi
Lively, Ryan P.
Rabiller-Baudry Murielle
Lim, Ki Min
Ghazali, Nazlee
Coronas, Joaquin
Abel, Milan
Wessling, Matthias
Skiborowski, Mirko
Systemverfahrenstechnik V-4
Oxley, Adam
Han, Seokju
Livingston, Andrew
Yi, Zhuan
Gao, Congjie
Guan, Kecheng
Gonzales, Ralph Rolly
Matsuyama, Hideto
Bettahalli, Srivatsa NM.
McCutcheon, Jeffrey R.
Radmanesh, Farzaneh
Benes, Nieck E.
Tashvigh, Akbar Asadi
Fang, Qing
Zhang, Kaisong
Chen, Guining
Jin, Wanqin
Zhang, Yatao
Zhang, Chun-Xu
Liu, Mei-ling
Sun, Shi-peng
Buekenhoudt, Anita
Zhao, Chen
Bruggen, Bart Van der
Kim, Jeong F.
Condes, Lucas C.
Webb, Matthew T.
Galizia, Michele
Alhazmi, Banan
Upadhyaya, Lakshmeesha
Nunes, Suzana
Kim, Dae Woo
Schröter, Henrik
Kragl, Udo
Störtte, Sven
Vorholt, Andreas J.
Culfaz-Emecen, P. Zeynep
Chau, John
Winnubst, Louis
Yushkin, Alexey
Vorholt, Andreas J.
Pizzoccaro-Zilamy, Marie Alix
Sirkar, Kamalesh K.
Shao, Lu
Szekely, Gyorgy
Vankelecom, Ivo F. J.
Verbeke, Rhea
TORE-URI
https://hdl.handle.net/11420/51867
Journal
Journal of membrane science
Volume
713
Article Number
123356
Citation
Journal of Membrane Science 713: 123356 (2025)
Publisher DOI
10.1016/j.memsci.2024.123356
Scopus ID
2-s2.0-85205030856
Publisher
Elsevier
Organic solvent nanofiltration (OSN), also called solvent-resistant nanofiltration (SRNF), has emerged as a promising technology for the removal of impurities, recovery of solutes, and the regeneration of solvents in various industries, such as the pharmaceutical and the (petro)chemical industries. Despite the widespread use of OSN/SRNF, the presence of scattered, non-standardized data, and the absence of openly accessible data pose critical challenges to the development of new membrane materials and processes, their comparison to the state-of-the-art materials, and their fundamental understanding. To overcome these hurdles, data from peer-reviewed research articles and commercial datasheets were curated via a standardized procedure to obtain an extensive dataset on the membrane materials, synthesis parameters, operational conditions, physicochemical properties, and performance of OSN/SRNF membranes. Thanks to a truly impressive joint effort of the OSN/SRNF community, the dataset contains, as per April 2024, 5006 unique membrane filtrations from 294 publications for 42 solvents under several process parameters. This findable, accessible, interoperable, reproducible, and open (FAIR/O) dataset is available on both the OSN Database and the newly inaugurated Open Membrane Database for SRNF (OMD4SRNF). These databases provide multiple visualization and data exploration tools. Here, the standardized procedure applied to curate the data and the functionality of the databases are outlined, as well as the online user interface to deposit new data by external users on the OMD4SRNF. This community-led project has been supported by all the co-authors of this work. Most importantly, they additionally agreed to systematically deposit their future peer-reviewed data on OSN/SRNF into the databases. We thereby pave the road for FAIR/O data in the field of OSN/SRNF to increase transparency, enable more accurate data analysis, and foster collaboration and innovation.
Subjects
Big data
OMD4SRNF
Open membrane database
Organic solvent nanofiltration
OSN database
Solvent-resistant nanofiltration
DDC Class
600: Technology
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