Surface Plasmon Resonance
2 researchers across 1 institution
Surface plasmon resonance (SPR) investigates the interaction of light with free electrons on the surface of metallic nanostructures. This phenomenon is leveraged to develop highly sensitive biosensors and chemical sensors. Research in this area explores the fundamental principles governing plasmonic behavior in various metal nanoparticles, including gold and silver, and their assembly into functional nanostructures. Investigations focus on controlling nanoparticle size, shape, and arrangement to optimize SPR sensitivity and specificity for detecting target molecules. Techniques employed include advanced optical imaging and spectroscopy to analyze plasmonic responses and their correlation with molecular binding events.
This research holds relevance for Arkansas by offering pathways to advance agricultural diagnostics, environmental monitoring, and public health. For instance, SPR-based sensors can facilitate rapid detection of plant pathogens or contaminants in water sources, supporting the state's significant agricultural sector and its natural resource management. In healthcare, the development of sensitive diagnostic tools could aid in early disease detection and personalized medicine, addressing the health needs of Arkansas communities.
This field draws upon expertise in materials science, analytical chemistry, and photonic devices. The research engages with the synthesis and application of nanoparticles, the design of optical systems, and the development of novel analytical techniques.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Geun Wan Kim | University of Arkansas | 10 | 377 | ||
| Desalegn T. Debu | University of Arkansas | 8 | 290 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 United States Naval Research Laboratory 1,196
- 2 Virginia Tech 851
- 3 Stanford University 822
- 4 Massachusetts Institute of Technology 743
- 5 AT&T (United States) 706