000145368 001__ 145368
000145368 005__ 20250923084433.0
000145368 0247_ $$2doi$$a10.1016/j.memsci.2024.123356
000145368 0248_ $$2sideral$$a140250
000145368 037__ $$aART-2024-140250
000145368 041__ $$aeng
000145368 100__ $$aVan Buggenhout, Simon
000145368 245__ $$aOpen and FAIR data for nanofiltration in organic media: A unified approach
000145368 260__ $$c2024
000145368 5203_ $$aOrganic 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.
000145368 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T68-23R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-138582OB-I00
000145368 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000145368 590__ $$a9.0$$b2024
000145368 592__ $$a1.935$$b2024
000145368 591__ $$aPOLYMER SCIENCE$$b5 / 94 = 0.053$$c2024$$dQ1$$eT1
000145368 593__ $$aBiochemistry$$c2024$$dQ1
000145368 591__ $$aENGINEERING, CHEMICAL$$b16 / 175 = 0.091$$c2024$$dQ1$$eT1
000145368 593__ $$aPhysical and Theoretical Chemistry$$c2024$$dQ1
000145368 593__ $$aMaterials Science (miscellaneous)$$c2024$$dQ1
000145368 593__ $$aFiltration and Separation$$c2024$$dQ1
000145368 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145368 700__ $$aIgnacz, Gergo
000145368 700__ $$aCaspers, Scout
000145368 700__ $$aDhondt, Robin
000145368 700__ $$aLenaerts, Marie
000145368 700__ $$aLenaerts, Nathalie
000145368 700__ $$aHosseinabadi, Sareh Rezaei
000145368 700__ $$aNulens, Ines
000145368 700__ $$aKoeckelberghs, Guy
000145368 700__ $$aRen, Yi
000145368 700__ $$aLively, Ryan P.
000145368 700__ $$aRabiller-Baudry, Murielle
000145368 700__ $$aLim, Ki Min
000145368 700__ $$aGhazali, Nazlee
000145368 700__ $$0(orcid)0000-0003-1512-4500$$aCoronas, Joaquin$$uUniversidad de Zaragoza
000145368 700__ $$aAbel, Milan
000145368 700__ $$aWessling, Matthias
000145368 700__ $$aSkiborowski, Mirko
000145368 700__ $$aOxley, Adam
000145368 700__ $$aHan, Seok Ju
000145368 700__ $$aLivingston, Andrew
000145368 700__ $$aYi, Zhuan
000145368 700__ $$aGao, Congjie
000145368 700__ $$aGuan, Kecheng
000145368 700__ $$aGonzales, Ralph Rolly
000145368 700__ $$aMatsuyama, Hideto
000145368 700__ $$aBettahalli, Srivatsa NM.
000145368 700__ $$aMcCutcheon, Jeffrey R.
000145368 700__ $$aRadmanesh, Farzaneh
000145368 700__ $$aBenes, Nieck E.
000145368 700__ $$aTashvigh, Akbar Asadi
000145368 700__ $$aFang, Qing
000145368 700__ $$aZhang, Kaisong
000145368 700__ $$aChen, Guining
000145368 700__ $$aJin, Wanqin
000145368 700__ $$aZhang, Yatao
000145368 700__ $$aZhang, Chun-Xu
000145368 700__ $$aLiu, Mei-Ling
000145368 700__ $$aSun, Shi-Peng
000145368 700__ $$aBuekenhoudt, Anita
000145368 700__ $$aZhao, Chen
000145368 700__ $$aBruggen, Bart Van der
000145368 700__ $$aKim, Jeong F.
000145368 700__ $$aCondes, Lucas C.
000145368 700__ $$aWebb, Matthew T.
000145368 700__ $$aGalizia, Michele
000145368 700__ $$aAlhazmi, Banan
000145368 700__ $$aUpadhyaya, Lakshmeesha
000145368 700__ $$aNunes, Suzana P.
000145368 700__ $$aKim, Dae Woo
000145368 700__ $$aSchröter, Henrik
000145368 700__ $$aKragl, Udo
000145368 700__ $$aStörtte, Sven
000145368 700__ $$aVorholt, Andreas J.
000145368 700__ $$aCulfaz-Emecen, P. Zeynep
000145368 700__ $$aPizzoccaro-Zilamy, Marie-Alix
000145368 700__ $$aWinnubst, Louis
000145368 700__ $$aYushkin, Alexey
000145368 700__ $$aVolkov, Alexey
000145368 700__ $$aChau, John
000145368 700__ $$aSirkar, Kamalesh K.
000145368 700__ $$aLu, Shao
000145368 700__ $$aSzekely, Gyorgy
000145368 700__ $$aVankelecom, Ivo
000145368 700__ $$aVerbeke, Rhea
000145368 7102_ $$15005$$2555$$aUniversidad de Zaragoza$$bDpto. Ing.Quím.Tecnol.Med.Amb.$$cÁrea Ingeniería Química
000145368 773__ $$g713 (2024), 123356 [9 pp.]$$pJ. membr. sci.$$tJOURNAL OF MEMBRANE SCIENCE$$x0376-7388
000145368 8564_ $$s4809433$$uhttps://zaguan.unizar.es/record/145368/files/texto_completo.pdf$$yVersión publicada
000145368 8564_ $$s2604813$$uhttps://zaguan.unizar.es/record/145368/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145368 909CO $$ooai:zaguan.unizar.es:145368$$particulos$$pdriver
000145368 951__ $$a2025-09-22-14:44:58
000145368 980__ $$aARTICLE