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dc.contributor.advisorGrimes, Brian A.
dc.contributor.advisorBandyopadhyay, Sulalit
dc.contributor.authorRaghunathan, Karthik
dc.date.accessioned2023-10-27T08:30:21Z
dc.date.available2023-10-27T08:30:21Z
dc.date.issued2023
dc.identifier.isbn978-82-326-7004-8
dc.identifier.issn2703-8084
dc.identifier.urihttps://hdl.handle.net/11250/3099090
dc.description.abstractA typical diagnosis of a medical condition takes time, and the start of therapy to cure or manage the condition can take even longer. This can be changed by using nanoparticles that are personalised for biomedical applications. Gold nanoparticles have optical properties suited for MRI scans, while polymeric nanoparticles can be used for drug delivery. By combining these two, targeted drug delivery can be achieved, allowing rapid diagnosis and an instant start of therapy. An in-depth understanding of these nanoparticles is necessary for their controlled, safe, and repeatable use as a medical device. This work used experimental and computational tools to study these nanoparticles. The focus has been on understanding the underlying mechanisms that dictate their usage. This work aims to contribute to predicting the properties of such nanoparticles and ultimately lead to building a Swiss-army knife type of system for biomedical applications.en_US
dc.language.isoengen_US
dc.publisherNTNUen_US
dc.relation.ispartofseriesDoctoral theses at NTNU;2023:150
dc.titleIntegrated Experimental and computational studies on plasmonic nanoparticlesen_US
dc.typeDoctoral thesisen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Kjemi: 440en_US
dc.description.localcodeFulltext not availableen_US


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