Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/35806
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dc.titleDevelopment of Multifunctional Membranes for Visual Detection and Adsorptive Removal of Heavy Metal Ions from aqueous Solutions
dc.contributor.authorZHANG LINZI
dc.date.accessioned2012-12-31T18:00:37Z
dc.date.available2012-12-31T18:00:37Z
dc.date.issued2012-05-24
dc.identifier.citationZHANG LINZI (2012-05-24). Development of Multifunctional Membranes for Visual Detection and Adsorptive Removal of Heavy Metal Ions from aqueous Solutions. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/35806
dc.description.abstractAs a result of increased industrial and urban activities, the occurrence of heavy metal contaminants has been dramatically augmented. They are normally toxic, non-biodegradable and highly carcinogenic, thus posing a serious threat to the lives of human beings even at low concentrations. This necessitates the development of technologies that can effectively detect the presence of heavy metal contaminants as well as remove them from the contaminated waters. In the present work, attempts were made to develop multifunctional membranes for visual detection and adsorptive removal of heavy metal ions in aqueous solutions. To achieve this, different types of optical indicators were immobilized onto chitosan/cellulose acetate (CS/CA) blend membranes. The prepared membranes showed good performance on both detection and removal of heavy metal ions in a wide variation of solution conditions. Therefore, it demonstrates a great potential to be applied for easy on-site and in situ remediation of heavy metal contaminations.
dc.language.isoen
dc.subjectMultifunctional membrane, heavy metal, visual detection, adsorption, chitosan, optical indicator
dc.typeThesis
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.contributor.supervisorBAI RENBI
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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