Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/139722
DC Field | Value | |
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dc.title | MICROBEAD-BASED LABELLED AND LABEL-FREE PROTEIN DETECTION | |
dc.contributor.author | SWATI SHIKHA | |
dc.date.accessioned | 2018-03-31T18:00:39Z | |
dc.date.available | 2018-03-31T18:00:39Z | |
dc.date.issued | 2017-08-11 | |
dc.identifier.citation | SWATI SHIKHA (2017-08-11). MICROBEAD-BASED LABELLED AND LABEL-FREE PROTEIN DETECTION. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/139722 | |
dc.description.abstract | Microbeads-based protein detection has been attempted by several labelled and label-free methods. Widely used organic dyes for labelled detection have limitations like photobleaching, spectral overlap, autofluorescence, and multiple excitation sources. Whereas traditional label-free detection uses bulky, complex, and costly instruments like Mass Spectroscopy, Raman Spectroscopy, etc. Here, existing challenges of both detection approaches are addressed. For labelled detection, upconversion nanoparticles (UCNPs) with benefits including photostability, nil autofluorescence, high anti-Stokes shift, and single wavelength excitation, are used. Different mixtures of UCNPs emitting red and green fluorescence were encapsulated using droplet-maker to generate uniformly encoded beads; UCNPs emitting blue color were tagged to reporter antibody for detection. For label-free approach, sensitivity of Deterministic Lateral Displacement-based separation in nano-regime was exploited and demonstrated to accomplish simple, rapid and cost-effective detection of proteins present in nano-vesicles. Findings from the studies will contribute to further improve the microbead-based labelled and label-free protein detection methods. | |
dc.language.iso | en | |
dc.subject | microbeads, labelled, label-free, detection, upconversion nanoparticles, deterministic lateral displacement | |
dc.type | Thesis | |
dc.contributor.department | BIOMEDICAL ENGINEERING | |
dc.contributor.supervisor | ZHANG YONG | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
Appears in Collections: | Ph.D Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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ShikhaS.pdf | 5.19 MB | Adobe PDF | OPEN | None | View/Download |
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