Publication Date
5-2014
Date of Final Oral Examination (Defense)
3-26-2014
Type of Culminating Activity
Thesis
Degree Title
Master of Science in Materials Science and Engineering
Department
Materials Science and Engineering
Supervisory Committee Chair
Jeunghoon Lee, Ph.D.
Supervisory Committee Member
William L. Hughes, Ph.D.
Supervisory Committee Member
Bernard Yurke, Ph.D.
Abstract
This study focuses on the use of gold nanoparticles with DNA-based signal amplification as a detection method for low concentrations of DNA bio-markers. Biotechnology is a rapidly evolving field with primarily medical applications. Early detection is a challenging process for some cancers and other diseases yet is so critical to successful treatment. Increasingly sensitive detection techniques are being developed, but the current gold standard for detecting nucleotide biomarkers at low concentrations is polymerase chain reaction. While this technique is sensitive, it requires the use of active enzymes, a thermocycler, and trained personnel working in a clean environment, and is thus not very feasible for diagnosing diseases in remote locations or third world epidemic scenarios. Gold nanoparticles with complimentary DNA probes provide an easy, colorimetric method for detecting a DNA target, but are not very sensitive to sub-nanomolar concentrations without post-hybridization enhancement or sensitive instruments. To overcome this limitation, we employ enzyme-free, DNA-based amplification networks that use cascading hybridization reactions to produce multiple nanoparticle binding events per molecule of target DNA. Our data show that the DNA-based amplification does increase sensitivity of our colorimetric gold nanoparticles without sacrificing their ease of use. We also expand this detection method to other biomolecule of interest, by using an aptamer sequence to bind a small biomolecule and then trigger the DNA-based amplification network.
Recommended Citation
Huttanus, Herbert M., "Making More Sensitive DNA Sensors Using Gold Nanoparticles and DNA-Based Amplification Networks" (2014). Boise State University Theses and Dissertations. 838.
https://scholarworks.boisestate.edu/td/838