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Updated: Dec 21, 2025

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Optical Sorting at the Single-Particle Level with Single-Nanometer Precision Using Coordinated Intensity and Phase

Fan Nan1, Zijie Yan1

  • 1Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.

ACS Nano
|May 20, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a new method for precisely sorting individual nanoparticles using reconfigurable optical traps and machine vision. This technique enables advanced control over nanoparticle manipulation and ordering, overcoming limitations of previous methods.

Keywords:
holographymachine visionoptical sortingoptical trappingoptical tweezersplasmonic nanoparticles

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Area of Science:

  • Nanoscience and nanotechnology
  • Optical manipulation
  • Microfluidics

Background:

  • Precise sorting of individual colloidal nanoparticles (NPs) is a significant challenge in nanoscience.
  • Existing optofluidic methods offer limited flexibility, reconfigurability, and precision for NP manipulation.

Purpose of the Study:

  • To develop a novel strategy for position-controlled sorting of single nanoparticles.
  • To overcome the limitations of current optofluidic techniques by introducing reconfigurable optical traps with feedback control.

Main Methods:

  • Utilized feedback-controlled manipulation of NPs via reconfigurable optical traps with designed intensity and phase gradients.
  • Employed machine vision for real-time position tracking and differentiated scattering intensity analysis of NPs.
  • Implemented spatiotemporal optical trap patterns for coordinated NP manipulation and stable trapping.

Main Results:

  • Demonstrated position-controlled optical sorting of single silver (Ag) and gold (Au) nanoparticles (150 nm diameter).
  • Achieved ordering of monodisperse gold nanoparticles (80 ± 9 nm diameter) based on sub-10 nm radius variations.
  • Ensured NPs remained within the optical field during manipulation and were stably trapped post-sorting.

Conclusions:

  • The developed approach offers enhanced flexibility, reconfigurability, and precision for single-particle manipulation.
  • This method enables sorting and ordering of nanoparticles with unprecedented accuracy, particularly for size variations below 10 nm.
  • The strategy advances capabilities in nanoparticle sorting for various nanoscience applications.