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Nanophotonic Array-Induced Dynamic Behavior for Label-Free Shape-Selective Bacteria Sieving.

Yuzhi Shi1, Haitao Zhao1, Kim Truc Nguyen1

  • 1School of Electrical and Electronic Engineering , Nanyang Technological University , Singapore 639798 , Singapore.

ACS Nano
|October 5, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an optofluidic nanophotonic sawtooth array (ONSA) for shape-selective particle sorting. It effectively separates bacteria based on shape-induced torque, overcoming limitations of existing methods.

Keywords:
light-matter interactionsnear fieldoptical bindingoptical torquesshape sortingsilicon photonics

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Area of Science:

  • Optofluidics
  • Nanophotonics
  • Bioparticle Sorting

Background:

  • Existing particle sorting technologies (microfluidics, acoustics, optics) face challenges with label-free submicron particles of similar size and refractive index but distinct shapes.
  • The need for advanced methods to differentiate particles based on morphology rather than bulk properties is critical in various scientific fields.

Purpose of the Study:

  • To develop a novel method for shape-selective sorting of submicron particles using optofluidics.
  • To demonstrate the capability of an optofluidic nanophotonic sawtooth array (ONSA) for differentiating and sorting particles based on their unique shapes.

Main Methods:

  • Fabrication and implementation of an optofluidic nanophotonic sawtooth array (ONSA) capable of generating structured light fields.
  • Utilizing light coupling to create hotspots within the ONSA that exert shape-dependent optical torques on submicron particles.
  • Employing torque-induced body dynamics to achieve shape-selective sieving of unstained bacterial cells (S. aureus and E. coli).

Main Results:

  • The ONSA successfully generated sawtooth-like light fields, enabling shape-based particle manipulation.
  • Differential optical torques were imposed on particles based on their distinct shapes, leading to shape-selective sieving.
  • Achieved high-purity separation: >95% S. aureus retained and >97% E. coli removed, demonstrating effective shape-based sorting.

Conclusions:

  • The ONSA provides a groundbreaking approach for shape-selective sorting of submicron particles, particularly label-free biological entities.
  • This technology expands the capabilities of optofluidics in particle manipulation and offers a new paradigm for high-throughput, morphology-based separation.
  • The demonstrated mechanism overcomes limitations of conventional sorting methods for particles with similar physical properties but different shapes.