1. Molecular Monolayer Sensing Using Surface Plasmon Resonance and Angular Goos-Hänchen Shift
- Author
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Maria Vanessa Balois-Oguchi, Cherrie May Olaya, Nathaniel Hermosa, Norihiko Hayazawa, and Takuo Tanaka
- Subjects
Materials science ,goos-hänchen shift ,02 engineering and technology ,Substrate (electronics) ,TP1-1185 ,Biochemistry ,Molecular physics ,Article ,Analytical Chemistry ,plasmon ,020210 optoelectronics & photonics ,Monolayer ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Surface plasmon resonance ,Instrumentation ,Plasmon ,Chemical technology ,Surface plasmon ,Self-assembled monolayer ,fresnel ,021001 nanoscience & nanotechnology ,Atomic and Molecular Physics, and Optics ,self-assembled monolayer ,Surface modification ,Gold ,0210 nano-technology ,Excitation ,surface plasmon resonance - Abstract
We demonstrate potential molecular monolayer detection using measurements of surface plasmon resonance (SPR) and angular Goos-Hänchen (GH) shift. Here, the molecular monolayer of interest is a benzenethiol self-assembled monolayer (BT-SAM) adsorbed on a gold (Au) substrate. Excitation of surface plasmons enhanced the GH shift which was dominated by angular GH shift because we focused the incident beam to a small beam waist making spatial GH shift negligible. For measurements in ambient, the presence of BT-SAM on a Au substrate induces hydrophobicity which decreases the likelihood of contamination on the surface allowing for molecular monolayer sensing. This is in contrast to the hydrophilic nature of a clean Au surface that is highly susceptible to contamination. Since our measurements were made in ambient, larger SPR angle than the expected value was measured due to the contamination in the Au substrate. In contrast, the SPR angle was smaller when BT-SAM coated the Au substrate due to the minimization of contaminants brought about by Au surface modification. Detection of the molecular monolayer acounts for the small change in the SPR angle from the expected value.
- Published
- 2021
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