Ovarian cancer has very high mortality because it is hard to diagnosis in early stages. Many ovarian cancer biomarkers (such as HE4, CA 125) are available and had been suggested as potential tools for early cancer detection. However, early cancer detection using serological markers will only become widely used if a new generation of sensors that can be handled in a clinical setting can be developed. A detection technology that is promising for miniaturization and integration in biomedical sensing devices is based on the phenomenon of the extraordinary light transmission (EOT) through arrays of nanoholes on metal films. EOT is an increase in light transmission observed at certain wavelengths that satisfy the surface plasmon resonance (SPR) condition of the nanostructure. The position of this resonance is affected by surface adsorption phenomenon, which is the basis for the biosensor. In this dissertation, the detection of the HE4 biomarker was demonstrated using EOT. The EOT-based detection was compared to two state-of-the-art analytical methods (ELISA and commercial SPR). Based on our experiments, it was found that ELISA has lowest detection limit, around 0.5 ng/mL for that particular protein (HE4). The detection limits for the commercial SPR, around 0.13 μg/mL was comparable to the nanohole-based detection limit, around 1.76 μg/mL. In contrast to ELISA, the SPR-based methods were label free, more time efficient, and more environmental friendly. An extra advantage of the nanohole scheme was that multiple samples could be analyzed simultaneously and in real time. Adsorption kinetic experiments were also performed to evaluate the rate constants of the HE4 binding to a surface coated with anti-HE4. The adsorption equilibrium constant for the HE4 – anti-HE4 system was determined to be (4.3 ± 2.1) x 107 M-1. / Graduate / 0487
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/4664 |
| Date | 26 June 2013 |
| Creators | Chou, Yu-Wei Andrew |
| Contributors | Brolo, Alexandre Guimaraes, Sinton, David A. |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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