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Magnetic-Optical Dual-Modality Imaging Monitoring Oxaliplatin through the Crystalline Mn-Metal-Organic Framework

Yanqiu Chen¹, Xingai Ge², Fang Fang²

¹Radiology department, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, P. R. China.

|July 13, 2026

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A novel manganese metal-organic framework (Mn-MOF) functions as a dual-mode sensor for detecting oxaliplatin (OHP), a chemotherapy drug. This material enables sensitive fluorescence detection and MRI imaging, aiding in drug monitoring and management.

Area of Science:

Materials Science
Nanotechnology
Biomedical Engineering

Background:

Accurate assessment of oxaliplatin (OHP) is crucial for optimizing chemotherapy dosage and managing toxicity.
Developing integrated sensing and imaging platforms is essential for real-time evaluation of anticancer drugs in biological systems.

Purpose of the Study:

To develop a nanosized manganese metal-organic framework (Mn-MOF) as a dual-modal sensor for sensitive detection and MRI imaging of OHP.
To evaluate the stability, sensitivity, selectivity, and biocompatibility of the Mn-MOF platform for OHP detection.

Main Methods:

Characterization of Mn-MOF structure, morphology, and properties using techniques like XRD, SEM, AFM, EDS, XPS, and DLS.
Evaluation of Mn-MOF as a T1 MRI contrast agent and fluorescence sensor for OHP detection across various concentrations.

Keywords:

multimodal detection nanosized Mn-MOF noble-metal-free material precise analysis of anti-cancer drugs rapid response sensor

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In vitro and preliminary in vivo MRI experiments, along with cell viability and hemocompatibility assays.

Main Results:

The Mn-MOF exhibited excellent stability over 28 days and demonstrated OHP-dependent T1 MRI signal attenuation.
The fluorescence mode achieved a highly sensitive limit of detection (LOD) of 41.1 aM for OHP.
Preliminary in vivo studies showed OHP-dependent signal changes in liver and kidney, with good hemocompatibility and cytocompatibility.

Conclusions:

The developed Mn-MOF platform offers a promising dual-modal approach for integrating optical sensing and MRI readout for OHP.
This strategy provides a foundation for advanced image-assisted evaluation of anticancer drugs in biological settings.
The sensor's high sensitivity, selectivity, and biocompatibility support its potential clinical applications in chemotherapy management.