OPTIMIZATION AND SYNTHESIS OF SILVER NANOPARTICLES EMBEDDED WITHIN A POROUS SUBSTRATE FOR RAMAN SPECTROSCOPY
Author: Matthew W. Talbot
Major: Biomedical Engineering
Graduation Year: 2016
Thesis Advisor: Michael D. Mason
Description of Publication: Raman spectroscopy is a promising method for detection of a wide range of water contaminants. Raman spectroscopy’s growing list of applications relies upon signal enhancement achieved in recent years. A test strip or substrate designed to optimize Raman spectra, capable of withholding water and enhancing signal, would be a useful tool for applications including water quality tests. Signal enhancement may be achieved by the addition of silver nanoparticles (NPs) into a three-dimensional structure of cellulose nanofibers (CNF). The magnitude of signal enhancement may be related to nanoparticle size and morphology, and so control over the synthesis of silver nanoparticles could prove essential to this emerging technology. Particle diameter may be controlled by careful selection and concentration adjustment of the reducing agent in addition to varying the reaction’s duration. In addition to the resulting size, the reliability of the signal would rely upon its reproducibility, which would in turn be affected by the size distribution of nanoparticles produced, as well as their even dispersion within the test strip. To produce a nanoparticle engineered for use within a cellulose nanofiber substrate, a number of these parameters were investigated.
Location of Publication:
URL to Thesis: https://digitalcommons.library.umaine.edu/honors/421