Date of Graduation
12-2019
Document Type
Thesis
Degree Name
Master of Science in Microelectronics-Photonics (MS)
Degree Level
Graduate
Department
Microelectronics-Photonics
Advisor/Mentor
Kim, Jin-Woo
Committee Member
Chen, Jingyi
Second Committee Member
Sakon, Joshua
Third Committee Member
Wise, Rick L.
Keywords
cellulose nanocrystals; gold nanoparticles; hybrid; surface plasmon resonance
Abstract
Gold nanoparticles (AuNPs) have been brought to the forefront of various applications, ranging from theranostics, to organic photovoltaics, to biosensing owing to their localized surface plasmon resonance (LSPR) property. However, this property needs to be improved in order to allow for high sensitivity and quantitative detection of biomolecules. Hybrids of AuNPs with low-dielectric cellulose nanocrystal (CNCs) would yield enhancement of the LSPR property, which is driven by the confinement of electron oscillation at their interfaces. This study proposed a seed-mediated growth method to synthesize hybrids of CNCs-AuNPs. Sulfate groups on the surface of CNCs served as the sites for the growth of AuNPs. Optimization through the number, size, and distances of AuNPs on the surface of CNCs was achieved by modulating different variables such as concentrations of reducing agent and CNCs, time, temperature, and surface charge of CNCs. The results via absorbance spectrophotometry, dynamic light scattering (DLS), transmission electron microscopy (TEM), and atomic force microscopy (AFM) demonstrated that AuNPs grew on the surface of sulfonated CNCs, leading to enhancing their LSPR. Optimization and tuning the optical response of AuNPs on the surface of CNCs was accomplished in this study, which could significantly advance the technology of biosensors in the future. This study could be expanded by the utilization of CNC as a template for the growth of other nanoparticles for a variety of applications, ranging from biomedicine to optoelectronics.
Citation
Iraniparast, M. (2019). Synthesis of Cellulose Nanocrystal-Gold Nanoparticle Hybrid System for Surface Plasmon-Enhanced Property. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3472