Highly Sensitive Quantum Magnetometry for Tracing Magnetotactic Bacteria Behavior in the Microfluidic Chip
Magnetotactic bacteria (MTB) possess intrinsic magnetic navigation via chain-organized magnetosomes, enabling targeted transport in complex biological environments. There is a lack of techniques for MTB drug transport evaluation based on precise behavior monitoring. Here, we proposed a nanotesla-level magnetic detection method for dynamic MTB behavior tracing, which has a sensitivity of 21.6 nT/√Hz under ambient conditions, enabling robust signal acquisition even at very low cell density. This capability was realized by a biocompatible microfluidic-quantum sensing platform that couples a diamond nitrogen-vacancy (NV) center probe with a vascular-mimicking microchannel and a microwave antenna. By linking magnetic signal evolution with bacterial motility, three quantitative indicators were identified, including fitting quality, the early-stage growth rate of the magnetic signal, and the peak rate of signal change. These indicators enabled the predictive classification of enrichment dynamics and guided regulation strategies. This label-free, real-time, and biocompatible framework provides a powerful tool for behavior-resolved analysis of MTB and offers a scalable route toward closed-loop, magnetically guided drug delivery.
Authors
- Yi Yang (ORCID: https://orcid.org/0000-0002-8917-2196)
- Chaoshan Zhao
- Shunbo Li (ORCID: https://orcid.org/0000-0001-5297-9079)
- Junju Wang
- Yue Wang (ORCID: https://orcid.org/0000-0003-0098-5359)
- Feng Zhai
- Wei Guo
- Yifei Yan
- Guanxiang Du
Institutions
- Chongqing University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Integrated Optoelectronics (Norway) (NO)
- The Polytechnic University of Japan (JP)
- Chongqing University of Technology (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2026-02-03
- DOI
- https://doi.org/10.1021/acsami.6c00505
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00