3D Membrane Imaging and Porosity Visualization

Handle URI:
http://hdl.handle.net/10754/600866
Title:
3D Membrane Imaging and Porosity Visualization
Authors:
Sundaramoorthi, Ganesh ( 0000-0003-3471-6384 ) ; Hadwiger, Markus ( 0000-0003-1239-4871 ) ; Ben Romdhane, Mohamed; Behzad, Ali Reza; Madhavan, Poornima ( 0000-0003-0570-8174 ) ; Nunes, Suzana Pereira ( 0000-0002-3669-138X )
Abstract:
Ultrafiltration asymmetric porous membranes were imaged by two microscopy methods, which allow 3D reconstruction: Focused Ion Beam and Serial Block Face Scanning Electron Microscopy. A new algorithm was proposed to evaluate porosity and average pore size in different layers orthogonal and parallel to the membrane surface. The 3D-reconstruction enabled additionally the visualization of pore interconnectivity in different parts of the membrane. The method was demonstrated for a block copolymer porous membrane and can be extended to other membranes with application in ultrafiltration, supports for forward osmosis, etc, offering a complete view of the transport paths in the membrane.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Imaging and Characterization Core Lab; Biological and Environmental Sciences and Engineering (BESE) Division
Citation:
3D Membrane Imaging and Porosity Visualization 2016 Industrial & Engineering Chemistry Research
Publisher:
American Chemical Society (ACS)
Journal:
Industrial & Engineering Chemistry Research
Issue Date:
3-Mar-2016
DOI:
10.1021/acs.iecr.6b00387
Type:
Article
ISSN:
0888-5885; 1520-5045
Sponsors:
This work was supported by the King Abdullah University of Science and Technology (KAUST), KAUST Project “Visualization and Pore Tuning of Asymmetric Membranes”.
Additional Links:
http://pubs.acs.org/doi/abs/10.1021/acs.iecr.6b00387
Appears in Collections:
Articles; Advanced Nanofabrication, Imaging and Characterization Core Lab; Biological and Environmental Sciences and Engineering (BESE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSundaramoorthi, Ganeshen
dc.contributor.authorHadwiger, Markusen
dc.contributor.authorBen Romdhane, Mohameden
dc.contributor.authorBehzad, Ali Rezaen
dc.contributor.authorMadhavan, Poornimaen
dc.contributor.authorNunes, Suzana Pereiraen
dc.date.accessioned2016-03-08T13:33:11Zen
dc.date.available2016-03-08T13:33:11Zen
dc.date.issued2016-03-03en
dc.identifier.citation3D Membrane Imaging and Porosity Visualization 2016 Industrial & Engineering Chemistry Researchen
dc.identifier.issn0888-5885en
dc.identifier.issn1520-5045en
dc.identifier.doi10.1021/acs.iecr.6b00387en
dc.identifier.urihttp://hdl.handle.net/10754/600866en
dc.description.abstractUltrafiltration asymmetric porous membranes were imaged by two microscopy methods, which allow 3D reconstruction: Focused Ion Beam and Serial Block Face Scanning Electron Microscopy. A new algorithm was proposed to evaluate porosity and average pore size in different layers orthogonal and parallel to the membrane surface. The 3D-reconstruction enabled additionally the visualization of pore interconnectivity in different parts of the membrane. The method was demonstrated for a block copolymer porous membrane and can be extended to other membranes with application in ultrafiltration, supports for forward osmosis, etc, offering a complete view of the transport paths in the membrane.en
dc.description.sponsorshipThis work was supported by the King Abdullah University of Science and Technology (KAUST), KAUST Project “Visualization and Pore Tuning of Asymmetric Membranes”.en
dc.language.isoenen
dc.publisherAmerican Chemical Society (ACS)en
dc.relation.urlhttp://pubs.acs.org/doi/abs/10.1021/acs.iecr.6b00387en
dc.rightsThis document is the Accepted Manuscript version of a Published Work that appeared in final form in Industrial & Engineering Chemistry Research, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://pubs.acs.org/doi/abs/10.1021/acs.iecr.6b00387.en
dc.title3D Membrane Imaging and Porosity Visualizationen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentImaging and Characterization Core Laben
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.identifier.journalIndustrial & Engineering Chemistry Researchen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorSundaramoorthi, Ganeshen
kaust.authorHadwiger, Markusen
kaust.authorBen Romdhane, Mohameden
kaust.authorBehzad, Ali Rezaen
kaust.authorMadhavan, Poornimaen
kaust.authorNunes, Suzana Pereiraen
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