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Study on the fouling phenomena of poly(vinylidene fluoride) (PVDF) membrane by protein and sodium alginate

Kong, Lingxue 2012, Study on the fouling phenomena of poly(vinylidene fluoride) (PVDF) membrane by protein and sodium alginate [data collection].


Field of Research 091209 Polymers and Plastics
090703 Environmental Technologies
Socio Economic Objective 960999 Land and Water Management of environments not elsewhere classified
Type of research activity Strategic basic research
Name of data collection Study on the fouling phenomena of poly(vinylidene fluoride) (PVDF) membrane by protein and sodium alginate
Creator(s) Kong, Lingxue
Date completed 2012-04-16
Embargo release date 2022-05-14
ANDS collection type dataset
Description of resource 247 .tif image files
Keyword(s) organic foulants
protein
sodium alginate
confocal microscope
filtration membrane
Language eng
Summary This sub-collection is the result of an investigation into the mechanism of organic fouling in membrane filtration processes. In this experiment, poly(vinylidene fluoride) (PVDF) membranes were used to filter two types of organic foulants, protein and sodium alginate with a concentration of 50mg/l and 40 mg/l, respectively, from suspension in a dead-end filtration cell. These model foulants were stained with fluorescent dyes before filtration. This dataset contains a stack of images of the fouling layer on the PVDF membrane surface captured by a confocal laser scanning microscope (CLSM) and its associated acquisition software. This dataset would be useful to researchers who are investigating the membrane organic fouling mechanism so that new membrane materials and new anti-fouling surface treatment technologies can be developed for water and wastewater industry in the future.
General notes Size_OR_DURATION: 192MB.
Contact details (email) lingxue.kong@deakin.edu.au
Contact details (physical) Kong, Lingxue
Access conditions Restricted to the research group in the Center for Material and Fibre Innovation at Deakin University until research papers based on the data are published. Enquiries should be addressed via email to Professor Lingxue Kong.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045711

Document type: Data Collection
Collection: Datasets collection
 
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Created: Mon, 16 Apr 2012, 10:00:00 EST

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