Plasmonic Optical Lattice
Plasmonic Optical Lattice - Related Videos
07:20
Trapping of Micro Particles in Nanoplasmonic Optical Lattice
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2017
We describe a procedure to optically trap micro-particles in nanoplasmonic optical lattice.
06:19
Optical Trapping of Plasmonic Nanoparticles for In Situ Surface-Enhanced Raman Spectroscopy Characterizations
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Cited by 2 •
2022
The present protocol describes a convenient approach to integrating optical trapping and surface-enhanced Raman spectroscopy (SERS) to manipulate plasmonic nanoparticles for sensitive molecular detection. Without aggregating agents, the trapping laser assembles plasmonic nanoparticles to enhance the SERS signals of target analytes for in situ spectroscopic measurements.
05:52
Analyzing the Movement of the Nauplius 'Artemia salina' by Optical Tracking of Plasmonic Nanoparticles
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Cited by 8 •
2014
We use optical tracking of plasmonic nanoparticles to probe and characterize the frequency movements of aquatic organisms.
09:12
Colloidal Synthesis of Nanopatch Antennas for Applications in Plasmonics and Nanophotonics
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Cited by 14 •
2016
A protocol for the colloidal synthesis of silver nanocubes and fabrication of plasmonic nanoscale patch antennas with sub-10 nm gaps is presented.
02:33
Lattice Centering and Coordination Number
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2020
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1. Types of Unit Cells Imagine taking a large number of identical...
FAQs
When illumination matches a plasmonic resonance, metallic nanostructures support collective electron oscillations that concentrate electromagnetic energy near their surfaces. The resulting near fields provide a localized environment in which optical forces and light-matter interactions can be controlled. Adjusting lattice geometry changes how those fields are distributed, supporting spatially selective manipulation or sensing.
Near fields concentrate optical energy at nanoscale locations, while optical forces act on nearby matter within those enhanced regions. Together, they can trap, position, or organize particles without requiring direct mechanical contact. This combination is especially relevant when bioengineering experiments need localized control of biomolecules, cells, or nanoscale materials.
Two central variables are the geometry of the metallic nanostructures and the relationship between illumination and plasmonic resonance. Geometry determines the lattice’s periodic arrangement and field distribution, whereas resonance matching produces stronger near-field concentration. Coordinating these factors can improve spatial precision, optical control, and detection sensitivity in a designed bioengineering platform.
Its enhanced near fields increase the electromagnetic interaction with biological material located near the metallic surface, allowing sensing without an added label. The periodic structure also provides controlled spatial locations for these interactions. In bioengineering, this combination can improve detection sensitivity while supporting compact sensing functions within lab-on-a-chip platforms.
A researcher selects a lattice geometry, provides illumination matched to the relevant plasmonic resonance, and places the target material near the nanostructured surface. Enhanced fields and optical forces then create localized control over biomolecules or cells. The outcome can be positioning, trapping, or organization at scales that are difficult to achieve with ordinary bulk optical fields.
Applications include label-free biosensing, manipulation of biomolecules and cells, and controlled assembly of nanoscale materials. The same platform can combine field enhancement with optical positioning, making it useful for multifunctional lab-on-a-chip systems. Its tunable geometry supports integration of sensing and control functions while preserving nanoscale spatial precision.