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The optical response of individual nanoparticles is strongly influenced by their structures. In this report, we present a quick and simple pattern-matching based approach in which optical images of nanoparticles from localized surface plasmon resonance and single-molecule surface-enhanced Raman spectroscopy were used in conjunction with transmission electron microscopy for correlation of optical responses and the nanostructures of exactly the same nanoparticles or clusters of nanoparticles.

This paper reviews recent developments in the design and application of two types of optical nanosensor, those based on: (1) localized surface plasmon resonance (LSPR) spectroscopy and (2) surface-enhanced Raman scattering (SERS). The performance of these sensors is discussed in the context of biological and chemical sensing. The first section addresses the LSPR sensors. Arrays of nanotriangles were evaluated and characterized using realistic protein/ligand interactions. Isolated, single nanoparticles were used for chemosensing and performed comparably to the nanoparticle array sensors. In particular, we highlight the effect of nanoparticle morphology on sensing response. The second section details the use of SERS sensors using metal film over nanosphere (MFON) surfaces. The high SERS enhancements and long-term stability of MFONs were exploited in order to develop SERS-based sensors for two important target molecules: a Bacillus anthracis biomarker and glucose in a serum protein mixture.