Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/139072
DC FieldValue
dc.titleDEVELOPMENT OF AUTOMATED GREEN SAMPLE PREPARATION METHODS FOR ENVIRONMENTAL AQUEOUS CONTAMINANTS
dc.contributor.authorSHALENE GOH XUE LIN
dc.date.accessioned2018-02-28T18:00:39Z
dc.date.available2018-02-28T18:00:39Z
dc.date.issued2017-08-04
dc.identifier.citationSHALENE GOH XUE LIN (2017-08-04). DEVELOPMENT OF AUTOMATED GREEN SAMPLE PREPARATION METHODS FOR ENVIRONMENTAL AQUEOUS CONTAMINANTS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/139072
dc.description.abstractThis dissertation presents the developments and applications of miniaturised sample preparation methods, coupled with liquid chromatography-tandem mass spectrometry for environmental analysis on emerging contaminants of concerns. They are simple, rapid, environmental-friendly and cost-effective, compared to conventional methods which require large volumes of sample and organic solvent, and intensive labour. Studies on membrane-mediated liquid-phase microextraction, such as the development of novel in-house fabricated extraction devices using polypropylene hollow fiber and membrane, and online solid-phase extraction are discussed. The thesis also focuses on the automation of these extraction techniques and subsequently, the integration of water sampling to give a totally automated analytical platform suitable for real-time monitoring of the environmental waters. This helps to provide insights on the future trend for sample preparation.
dc.language.isoen
dc.subjectSample preparation, Liquid-phase microextraction, Automation, Liquid chromatography-tandem mass spectrometry, Environmental analysis, Membranes
dc.typeThesis
dc.contributor.departmentCHEMISTRY
dc.contributor.supervisorHian Kee Lee
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOS)
Appears in Collections:Ph.D Theses (Open)

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
GohXLS.pdf4.47 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.