Targeting cancer cell-derived small extracellular vesicles (sEVs) to develop nanoparticle-integrated detection systems

Bordhan, Pritam

Targeting cancer cell-derived small extracellular vesicles (sEVs) to develop nanoparticle-integrated detection systems

Bordhan, Pritam

Permalink

Publication Type:: Thesis
Issue Date:: 2024

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download thesisAdobe PDF (8.74 MB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Bordhan, Pritam
dc.date.accessioned	2025-06-02T03:59:09Z
dc.date.available	2025-06-02T03:59:09Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/187584
dc.description	University of Technology Sydney. Faculty of Science.	en_US.UTF-8
dc.description.abstract	Small extracellular vesicles (sEVs) serve as promising biomarkers for cancer diagnosis, reflecting their originating cells' status through unique cargoes of proteins, nucleic acids, and lipids. This PhD thesis explores nanoparticle-assisted technologies to enhance the sensitive detection of sEV-associated markers. Chapters 1 and 2 provide an overview of nanoparticle-based approaches and experimental methodologies, respectively. In Chapter 3, the structural and functional characterisation of gold (AuNPs) and up-conversion nanoparticles (UCNPs), along with their conjugation to antibodies, is discussed for application in ELISA, microplate immunoassays, and lateral flow assays (LFAs). Chapters 4 and 5 demonstrate the utility of AuNP- and UCNP-based platforms for detecting sEV-CD63 and sEV-PD-L1. Notably, UCNP immunoassays achieved a ~10-fold enhancement in sensitivity compared to AuNP-ELISAs, and the UCNP-LFA delivered comparable or superior performance to commercial ELISA kits. Chapter 6 extends UCNP-LFA applications to detect GPC-1 and PD-L1 with improved sensitivity. Chapter 7 summarises the findings, addressing technical limitations and proposing future directions for advancing sEV marker detection in point-of-care settings. This research highlights the potential of nanoparticle-based platforms for rapid, sensitive, and accurate cancer diagnostics.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/187584/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Pritam Bordhan
dc.rights	au.edu.uts.lib/cph
dc.title	Targeting cancer cell-derived small extracellular vesicles (sEVs) to develop nanoparticle-integrated detection systems	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Small extracellular vesicles (sEVs) serve as promising biomarkers for cancer diagnosis, reflecting their originating cells' status through unique cargoes of proteins, nucleic acids, and lipids. This PhD thesis explores nanoparticle-assisted technologies to enhance the sensitive detection of sEV-associated markers. Chapters 1 and 2 provide an overview of nanoparticle-based approaches and experimental methodologies, respectively. In Chapter 3, the structural and functional characterisation of gold (AuNPs) and up-conversion nanoparticles (UCNPs), along with their conjugation to antibodies, is discussed for application in ELISA, microplate immunoassays, and lateral flow assays (LFAs). Chapters 4 and 5 demonstrate the utility of AuNP- and UCNP-based platforms for detecting sEV-CD63 and sEV-PD-L1. Notably, UCNP immunoassays achieved a ~10-fold enhancement in sensitivity compared to AuNP-ELISAs, and the UCNP-LFA delivered comparable or superior performance to commercial ELISA kits. Chapter 6 extends UCNP-LFA applications to detect GPC-1 and PD-L1 with improved sensitivity. Chapter 7 summarises the findings, addressing technical limitations and proposing future directions for advancing sEV marker detection in point-of-care settings. This research highlights the potential of nanoparticle-based platforms for rapid, sensitive, and accurate cancer diagnostics.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/187584