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Related Experiment Video

Updated: Feb 4, 2026

Immobilization of Live Caenorhabditis elegans Individuals Using an Ultra-thin Polydimethylsiloxane Microfluidic Chip with Water Retention
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Highly Sensitive Quantum Magnetometry for Tracing Magnetotactic Bacteria Behavior in the Microfluidic Chip.

Wei Guo1, Yang Wang2, Chaoshan Zhao1

  • 1Key Laboratory of Optoelectronic Technology and Systems (Ministry of Education), College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China.

ACS Applied Materials & Interfaces
|February 3, 2026
PubMed
Summary
This summary is machine-generated.

We developed a sensitive nanotesla magnetic detection method to track magnetotactic bacteria (MTB) behavior in real-time. This breakthrough enables precise evaluation of drug delivery and bacterial dynamics for targeted therapies.

Keywords:
magnetic biosensingmagnetotactic bacteriamicrofluidic chipnitrogen-vacancy centersquantum magnetometryreal-time monitoring

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Area of Science:

  • Biophysics
  • Microbiology
  • Quantum Sensing

Background:

  • Magnetotactic bacteria (MTB) utilize internal magnetosomes for navigation in biological environments.
  • Current methods lack precision for monitoring MTB behavior, hindering drug transport evaluation.

Purpose of the Study:

  • To develop a highly sensitive magnetic detection method for dynamic MTB behavior tracing.
  • To enable real-time, label-free analysis of MTB for improved drug delivery strategies.

Main Methods:

  • A microfluidic-quantum sensing platform using diamond nitrogen-vacancy (NV) centers was employed.
  • The platform integrates a vascular-mimicking microchannel and microwave antenna for sensitive magnetic detection.
  • Nanotesla-level magnetic detection achieved a sensitivity of 21.6 nT/√Hz under ambient conditions.

Main Results:

  • Dynamic MTB behavior was traced with high sensitivity, even at low cell densities.
  • Three quantitative indicators (fitting quality, growth rate, peak signal change) were identified to predict bacterial dynamics.
  • The method enabled predictive classification of enrichment dynamics and guided regulation strategies.

Conclusions:

  • The developed framework offers a label-free, real-time, and biocompatible approach for behavior-resolved MTB analysis.
  • This technology provides a scalable route for closed-loop, magnetically guided drug delivery.
  • Precise monitoring of MTB behavior facilitates targeted transport and therapeutic applications.