Characterization of membranes with X-ray ultramicroscopy She, Fenghua, Gao, D., Gao, Weimin, Wu, D. Y., Peng, Zheng, Hoang, M. and Kong, Lingxue 2009, Characterization of membranes with X-ray ultramicroscopy, Desalination, vol. 236, no. 1-3, pp. 179-186, doi: 10.1016/j.desal.2007.10.065. Attached Files Name Description MIMEType Size Downloads she-characterizationofmembraneswithxray-2009.pdf published version application/pdf 12.52MB 361 Title Characterization of membranes with X-ray ultramicroscopy Author(s) She, Fenghua orcid.org/0000-0001-8191-0820 Gao, D. Gao, Weimin orcid.org/0000-0002-7390-169X Wu, D. Y. Peng, Zheng Hoang, M. Kong, Lingxue orcid.org/0000-0001-6219-3897 Journal name Desalination Volume number 236 Issue number 1-3 Start page 179 End page 186 Total pages 8 Publisher Elsevier Place of publication Amsterdam, Netherlands Publication date 2009-01-31 ISSN 0011-9164 1873-4464 Keyword(s) nanofiltration porous membranes pore structure x-ray ultramicroscope non-invasive characterization 3-D reconstruction Summary Non-invasive characterization and observation of synthetic membranes is an important practice to monitor the performance of membrane process. Primarily there are two techniques—optical and non-optical for this purpose. Among them, X-ray computed tomography, as a non-optical technique, has been extensively used for the measurement of fibre distribution and air pockets trapped in the modules. However, the micro resolution of most commercial systems has limited its application which can hardly be used for the sub-micro characterization of membrane processes. A novel micro and nano characterization method is introduced in the current work by exploring an innovative development of the X-ray ultramicroscope (XuM) and micro-tomographic techniques. The XuM, based on using a scanning electron microscope as host, provides a new approach to X-ray projection microscopy. It has demonstrated the ability to characterize very small features in objects, down to of order 100 nm, including the use for dry, wet and even liquid samples. It can also distinguish objects with very subtle difference in density. Language eng DOI 10.1016/j.desal.2007.10.065 Field of Research 090509 Water Resources Engineering 080106 Image Processing 100710 Nanometrology Socio Economic Objective 870399 Construction Materials Performance and Processes not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal HERDC collection year 2009 Copyright notice ©2008, Elsevier B.V. Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30021460 Document type: Journal Article Collections: Centre for Material and Fibre Innovation Open Access Collection GTP Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 21 Dec 2009, 14:41:07 EST Mon, 21 Dec 2009, 15:48:49 EST Mon, 21 Dec 2009, 16:02:37 EST Tue, 05 Jan 2010, 13:33:23 EST Wed, 10 Mar 2010, 14:32:53 EST Thu, 08 Apr 2010, 11:46:15 EST Fri, 09 Apr 2010, 11:45:26 EST Fri, 07 May 2010, 16:24:44 EST Tue, 11 May 2010, 10:00:06 EST Fri, 04 Jun 2010, 17:32:17 EST Mon, 14 Nov 2011, 15:38:44 EST Mon, 16 Jun 2014, 13:45:14 EST Wed, 27 Aug 2014, 22:07:20 EST Tue, 05 Dec 2017, 09:05:20 EST Fri, 07 Sep 2018, 14:32:45 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 9 times in Scopus Search Google Scholar Access Statistics: 1230 Abstract Views, 361 File Downloads  -  Detailed Statistics Created: Mon, 21 Dec 2009, 14:41:06 EST by Weimin Gao