TY - BOOK ID - 135111102 TI - Surface Plasmon Resonance for Biosensing PY - 2022 PB - Basel MDPI Books DB - UniCat KW - gold nanorods KW - silica coating KW - localized surface plasmon resonance (LSPR) KW - surface functionalization KW - SPR biosensor KW - enzyme KW - laccase KW - chlorophene KW - emerging pollutant KW - water sample KW - plasmonic nanowires KW - molecular sensing KW - surface-enhanced Raman spectroscopy KW - porous alumina KW - TREM2 sensors KW - Alzheimer’s disease KW - plasmonic interferometry KW - optical biosensor KW - surface plasmon resonance KW - olfactory sensors KW - electronic noses KW - volatile organic compounds KW - odorants KW - SPR KW - cell-based assay KW - viral growth kinetics KW - human coronavirus KW - hydroxychloroquine KW - protease KW - caspase KW - avidin-biotin interaction KW - biosensors KW - AuNPs KW - metal–graphene hybrid KW - simulations KW - Mie theory KW - African swine fever virus (ASFV) KW - loop-mediated isothermal amplification (LAMP) KW - surface plasmon resonance (SPR) KW - fluorescence detection KW - SERS analysis KW - plasmonic metal nanoparticles KW - hotspots KW - hybrid materials UR - https://www.unicat.be/uniCat?func=search&query=sysid:135111102 AB - The rise of photonics technologies has driven an extremely fast evolution in biosensing applications. Such rapid progress has created a gap of understanding and insight capability in the general public about advanced sensing systems that have been made progressively available by these new technologies. Thus, there is currently a clear need for moving the meaning of some keywords, such as plasmonic, into the daily vocabulary of a general audience with a reasonable degree of education. The selection of the scientific works reported in this book is carefully balanced between reviews and research papers and has the purpose of presenting a set of applications and case studies sufficiently broad enough to enlighten the reader attention toward the great potential of plasmonic biosensing and the great impact that can be expected in the near future for supporting disease screening and stratification. ER -