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Open and FAIR data for nanofiltration in organic media: a unified approach
Publikationstyp
Journal Article
Date Issued
2025-01-01
Sprache
English
Author(s)
Nulens, Ines
Ren, Yi
Lively, Ryan P.
Abel, Milan
Gao, Congjie
McCutcheon, Jeffrey R.
Fang, Qing
Zhang, Yatao
Buekenhoudt, Anita
Zhao, Chen
Bruggen, Bart Van der
Kim, Jeong F.
Condes, Lucas C.
Webb, Matthew T.
Galizia, Michele
Alhazmi, Banan
Kim, Dae Woo
Störtte, Sven
Culfaz-Emecen, P. Zeynep
Volkov, Alexey
Chau, John
Journal
Volume
713
Article Number
123356
Citation
Journal of Membrane Science 713: 123356 (2025)
Publisher DOI
Scopus ID
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