Surface Plasmon Resonance Sensors in Optical Fibers and Photonic Crystals
This community designs and models optical sensors that use surface plasmon resonance to detect changes in refractive index, temperature, and biological molecules. The work focuses on integrating plasmonic materials like gold and silver into fiber and photonic crystal structures to create highly sensitive devices for medical diagnostics and environmental monitoring.
The research centers on the design of photonic crystal fibers and standard optical fibers coated with plasmonic metals. Recurring methods include the use of gold nanoparticles, graphene oxide, and black phosphorus to enhance sensitivity. Applications are dominated by biosensing, specifically for detecting cancer biomarkers, pathogens like SARS-CoV-2, and blood components. The community also explores the use of machine learning to optimize sensor performance and analyze detection data. These sensors are designed to be highly sensitive to minute changes in the surrounding medium, allowing for precise identification of chemical and biological targets.
The largest share of the community's output is found in gold research, accounting for 0.6% of all gold research, and 1,299 papers here. Carbon and silver also contribute significantly, with 1,031 and 688 papers respectively.
The community comprises 7,886 papers, publishing most frequently in Plasmonics, Optical Fiber Technology, and Optics & Laser Technology. Recent work continues to focus on enhancing the sensitivity of surface plasmon resonance biosensors for detecting cancer cells, glucose, and pathogens, often incorporating machine learning techniques for data analysis and sensor optimization.