Stable Magnetic Relaxation Switch Sensor Based on Fe<sub>3</sub>O<sub>4</sub>@Gel for Ultrafast Detection of Cd<sup>2+</sup>
To overcome the dual challenges of signal instability and prolonged detection in conventional magnetic relaxation switching (MRS) systems, a novel Fe<sub>3</sub>O<sub>4</sub>-encapsulated alginate hydrogel nanocomposite (Fe<sub>3</sub>O<sub>4</sub>@Gel) sensor was designed for rapid screening of the cadmium ion. Compared with the traditional Fe<sub>3</sub>O<sub>4</sub>-based sensors, the Fe<sub>3</sub>O<sub>4</sub> was embedded in the gel network framework to avoid magnetic field-induced aggregation, which helped to improve the stability of MRS. On the other hand, compared with MRS based on gel, the Fe<sub>3</sub>O<sub>4</sub> accelerated the relaxation process of water molecules inside the gel, obtaining a fast detection time of the sensor within 38 s, which is one-fifth of the detection time of the traditional magnetic relaxation switch sensor with pure hydrogel of 191 s. Mechanistically, target-induced immunocomplex formation modulates alkaline phosphatase activity, triggering cascade enzymatic reactions that precisely regulate hydrogel swelling dynamics. This stimuli-responsive behavior translates quantitative Cd<sup>2+</sup> concentrations into reproducible transverse relaxation time (<i>T</i><sub>2</sub>) signal shifts (<i>R</i><sup>2</sup> = 0.987), achieving sub-ppt sensitivity (6 pg/mL) across linearity (0.01-10 ng/mL). Practical validation in complex matrices demonstrated 96.62%-109.97% spike recoveries. This multifunctional nanoplatform establishes a new paradigm for high-fidelity, field-deployable hazard screening in complex systems.
Authors
- Liguang Xu (ORCID: https://orcid.org/0000-0001-9453-7703)
- Wei Chen (ORCID: https://orcid.org/0000-0003-3763-1183)
- Jia Tu
- Yunhui Cheng
- Shaoyi Yu (ORCID: https://orcid.org/0000-0002-0398-504X)
- Zhou Xu (ORCID: https://orcid.org/0000-0002-6128-142X)
- Li Yao
- Yudie Hu
- Xingyu Yang
Institutions
- Jiangnan University (CN)
- Hefei University of Technology (CN)
- Pathways Behavioral Services (US)
- BioSurfaces (United States) (US)
- Changsha University of Science and Technology (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1021/acssensors.4c03552
- Citations
- 4
- Primary Topic
- Analytical Chemistry and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 2.95
Funders
- Natural Science Foundation of Hunan Province
- National Key Research and Development Program of China