4.7 Article

The open membrane database: Synthesis-structure-performance relationships of reverse osmosis membranes

期刊

JOURNAL OF MEMBRANE SCIENCE
卷 641, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.memsci.2021.119927

关键词

Reverse osmosis; Interactive database; Membrane performance; Permeability-selectivity trade-off; Desalination

资金

  1. Membrane Technology Group of KU Leuven
  2. Ramon group of Technion (WETlab)
  3. Elimelech group of Yale University
  4. Tang group of Hong Kong University
  5. Center for Nanotechnology-Enabled Water Treatment, an Engineering Research Center - United States National Science Foundation [EEC-1449500]
  6. Research Foundation Flanders (FWO) [S002121N, 1S00917 N]
  7. KU Leuven
  8. Research Grant Council of the Hong Kong Special Administration Region, China [SRFS2021-7S04]
  9. US-Israel Binational Science Foundation [2019603]
  10. Israel Science Foundation [2018/17]
  11. Office Of The Director
  12. OIA-Office of Integrative Activities [2019603] Funding Source: National Science Foundation

向作者/读者索取更多资源

Limited understanding of membrane synthesis-structure-performance relationships has hindered significant progress in membrane development. The Open Membrane Database (OMD) offers a growing platform for researchers to maximize membrane performance and advance membrane technology.
Since the advent of thin-film composite polyamide membranes brought forth a breakthrough in desalination and water purification membranes nearly half a century ago, recent years have only witnessed marginal improvements in the water-salt selectivity of these membranes. The slow progression is partly attributable to limited understanding of membrane synthesis-structure-performance relationships. A centralized archive of reverse osmosis membrane (RO) characterization data may lead to a shared understanding of features that maximize RO performance and unify research efforts. The Open Membrane Database (OMD), which can be found at www. openmembranedatabase.org, is a growing database of over 600 water purification and desalination membranes that are sourced from peer-reviewed journals, patents, and commercial product data. Here, we outline the detailed functionality of the database, the transport theory underlying the membrane performance calculations, and best practices for membrane performance testing and reporting. The user-sourced, open-access database may be used to benchmark novel RO membranes against the state of the art, conduct meta-analyses, and develop synthesis-structure-performance relationships, each of which will be critical to advancing membrane development.

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