Open and FAIR data for nanofiltration in organic media: A unified approach - Université de Rennes
Article Dans Une Revue Journal of Membrane Science Année : 2025

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

Yi Ren
Ryan Lively
Ki Min Lim
Adam Oxley
Zhuan Yi
Kecheng Guan
Ralph Rolly Gonzales
Hideto Matsuyama
  • Fonction : Auteur
Srivatsa Nm. Bettahalli
Nieck Benes
Guining Chen
Wanqin Jin
  • Fonction : Auteur
Yatao Zhang
  • Fonction : Auteur
Chun-Xu Zhang
Mei-Ling Liu
  • Fonction : Auteur
Anita Buekenhoudt
  • Fonction : Auteur
Chen Zhao
Bart van Der Bruggen
  • Fonction : Auteur
Jeong Kim
  • Fonction : Auteur
Lucas Condes
Matthew Webb
Michele Galizia
Banan Alhazmi
Lakshmeesha Upadhyaya
  • Fonction : Auteur
Suzana Nunes
  • Fonction : Auteur
Dae Woo Kim
  • Fonction : Auteur
Henrik Schröter
Udo Kragl
  • Fonction : Auteur
P. Zeynep Culfaz-Emecen
Marie-Alix Pizzoccaro-Zilamy
Louis Winnubst
  • Fonction : Auteur

Résumé

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.
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vendredi 21 mars 2025
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Année Mois Jours
Avant la publication
vendredi 21 mars 2025
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vendredi 21 mars 2025
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Dates et versions

hal-04788127 , version 1 (28-11-2024)

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Simon van Buggenhout, Gergo Ignacz, Scout Caspers, Robin Dhondt, Marie Lenaerts, et al.. Open and FAIR data for nanofiltration in organic media: A unified approach. Journal of Membrane Science, 2025, 713, pp.123356. ⟨10.1016/j.memsci.2024.123356⟩. ⟨hal-04788127⟩
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