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Optical Trapping of Nanoparticles
Published on: January 15, 2013
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Near-field optical trapping in a non-conservative force field
Mohammad Asif Zaman1, Punnag Padhy2, Lambertus Hesselink2
1Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. zaman@stanford.edu.
Scientific Reports
|January 26, 2019
Summary
This study reveals that optical traps can generate non-conservative forces, impacting nanoparticle behavior. A new method accurately calculates optical potential and predicts nanoparticle position in these complex force fields.
Area of Science:
- Physics
- Nanotechnology
- Optics
Background:
- Near-field optical traps are crucial for manipulating nanoparticles.
- Calculating optical potential typically assumes conservative forces.
- Non-conservative forces in optical traps can lead to inaccuracies.
Purpose of the Study:
- To analyze the force-field generated by a near-field optical trap.
- To develop an accurate method for estimating optical potential in non-conservative fields.
- To model the positional statistics of nanoparticles trapped in non-conservative fields.
Main Methods:
- Helmholtz-Hodge decomposition to separate force-field components.
- Analysis of a C-shaped engraving on a gold film as an optical trap.
- Numerical and experimental validation of a proposed positional statistics model.
- Application of the analysis to a plasmonic trap with a gold nanopillar.
Main Results:
- The force-field generated by the C-shaped optical trap is non-conservative.
- Conventional optical potential calculation methods are inaccurate for non-conservative forces.
- A new method accurately estimates optical potential.
- The proposed model for positional statistics aligns with numerical and experimental data.
- The approach is validated for both C-shaped and nanopillar plasmonic traps.
Conclusions:
- Optical traps can generate non-conservative forces, necessitating advanced analysis.
- Accurate optical potential estimation requires accounting for non-conservative force components.
- The developed model provides a reliable way to predict nanoparticle behavior in complex optical traps.
- The findings are applicable to various plasmonic trapping structures.
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