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Updated: Aug 9, 2025

Biofunctionalization of Magnetic Nanomaterials
Published on: July 16, 2020
BIOMAGNETISM OF DRUG-SENSITIVE AND DRUG-RESISTANT MALIGNANT TUMORS AFTER INJECTION OF FERROMAGNETIC NANOCOMPOSITE
I N Todor1, N Yu Lukianova1, M A Primin2
1R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, NAS of Ukraine, Kyiv 03022, Ukraine.
Abstract:
Magnetic signals emitted by living organisms, regardless of a biological species, are important biophysical indicators. The study of these indicators is very relevant and promising for the visualization of the tumor process and the development of technologies using artificial intelligence when it comes to malignant neoplasms, particularly resistant to chemotherapy.
Aim:
To measure magnetic signals from transplantable rat tumors and their counterparts resistant to cytostatics for evaluating the features of the accumulation of iron-containing nanocomposite Ferroplat.
Materials And Methods:
Doxorubicin (Dox)-sensitive and Dox-resistant Walker-256 carcinosarcoma and cisplatin-sensitive and cisplatin-resistant Guerin's carcinoma transplanted in female Wistar rats were studied. The magnetism of tumors, liver and heart was determined using Superconductive Quantum Interference Device (SQUID) - magnetometry in a non-contact (13 mm over the tumor) way using specially designed computer programs. In a group of the experimental animals, a ferromagnetic nanocomposite (Ferroplat) was administered as a single intravenous injection and biomagnetism was assessed in 1 h.
Results:
The magnetic signals coming from Dox-resistant Walker-256 carcinosarcoma in the exponential growth phase were significantly higher in comparison with sensitive tumor. Intravenous administration of Ferroplat increased biomagnetism by at least an order of magnitude, especially in resistant tumors. At the same time, the magnetic signals of the liver and heart were within the magnetic noise.
Conclusion:
The use of SQUID-magnetometry with ferromagnetic nanoparticles as a contrast agent is a promising approach for visualization of malignant neoplasms with varying sensitivity to chemotherapy.
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