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Related Experiment Video

Updated: Aug 9, 2025

The Identification of Sea Lamprey Pheromones Using Bioassay-Guided Fractionation
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The Identification of Sea Lamprey Pheromones Using Bioassay-Guided Fractionation

Published on: July 17, 2018

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Tunable pheromone interactions among microswimmers.

Bokusui Nakayama1, Hikaru Nagase2, Hiromori Takahashi1

  • 1Graduate School of Science and Technology, Keio University, Yokohama, Kanagawa 223-8522, Japan.

Proceedings of the National Academy of Sciences of the United States of America
|February 22, 2023
PubMed
Summary

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This summary is machine-generated.

This study demonstrates a tunable, lab-scale system where Janus particles create phase-change trails that attract other particles, mimicking natural pheromone-based collective motion.

Area of Science:

  • Soft Matter Physics
  • Collective Behavior
  • Microfluidics

Background:

  • Collective motion in nature often relies on indirect interactions through environmental cues like pheromones.
  • Replicating complex collective behaviors in artificial systems is a key challenge in robotics and physics.

Purpose of the Study:

  • To develop a tunable, laboratory-scale system that mimics pheromone-based collective motion using autonomous agents.
  • To investigate the use of phase-change materials and electrokinetic flows for creating artificial 'field memory'.

Main Methods:

  • Utilized self-propelled Janus particles to induce local phase changes in a germanium-antimony-tellurium (Ge2Sb2Te5) substrate via laser-induced crystallization.
  • Leveraged alternating current electroosmotic (ACEO) flow generated by the conductive crystalline trails to create attractive interactions between particles.
Keywords:
active colloidscollective motionelectrokineticphase-change material

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  • Controlled particle behavior by tuning AC electric field parameters (frequency and voltage) to modulate the ACEO flow and particle sensitivity.

    • Main Results:

    • Demonstrated that crystalline trails created by Janus particles act as attractive 'pheromones' for other particles.
    • Showcased tunable particle dynamics, ranging from self-caging to directed movement, by adjusting AC field parameters.
    • Observed diverse collective behaviors in Janus particle swarms, including colony and line formation, highlighting system reconfigurability.

    Conclusions:

    • The developed system successfully mimics pheromone-based indirect interactions for collective motion at the microscale.
    • Tunable ACEO flow provides a mechanism to control the sensitivity and collective dynamics of artificial agents.
    • This pheromone-like memory field approach offers a reconfigurable platform for studying and engineering collective behaviors.