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On the magnetic aggregation of Fe3O4 nanoparticles
Abstract
Background and objective In-vivo MRI-guided drug delivery concept is a personalized technique towards cancer treatment. A major bottleneck of this method, is the weak magnetic response of nanoparticles. A crucial improvement is the usage of paramagnetic nanoparticles aggregates since they can easier manipulated in human arteries than isolated particles. However its significance, not a comprehensive study to estimate the mean length and time to aggregate exists. Methods The present detailed numerical study includes all major discrete and continues forces and moments of the nanoscale in a global model. The effort is given in summarizing the effects of particle diameter and concentration, and magnetic field magnitude to comprehensive relations. Therefore, several cases with nanoparticles having various diameters and concentrations are simulated as magnetic field increases. Results It is found that aggregations with maximum length equal to 2000nm can be formed. In addition, the increase of the concentration leads to a decrease in the amount of the isolated particles. Consequently, 33% of the particles are isolated for the concentration of 2.25mg/ml while 13% for the concentration of 10mg/ml. Moreover, the increase of the permanent magnetic field and diameter of particles gives rise to an asymptotic behavior in the number of isolated particles. Furthermore, the mean length of aggregates scales linear with diameter and magnetic field, however, concentration increase results in a we…
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“MNPs tend to aggregate in physiological environments due to van der Waals and magnetic dipole interactions [95].”
From Advances in green-synthesized magnetic nanoparticles for targeted cancer therapy: mechanisms, applications, and future perspectives (2026) · cites this paper as [95]
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“Another concern is particle aggregation.”
From Advances in green-synthesized magnetic nanoparticles for targeted cancer therapy: mechanisms, applications, and future perspectives (2026) · cites this paper as [95]
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Cited by
Sorted by citations
El-khawaga, A. M., Youssef, O. I., El-dydamoni, O. A., Ragab, W. M., & Mohammed, R. A. E. (2026) · European Journal of Medical Research · doi:10.1186/s40001-025-03804-9 · Cited by 14
Metadata
- Authors
- Karvelas, E. G., Lampropoulos, N. K., Benos, L. T., Karakasidis, T., & Sarris, I. E.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 198
- Pages
- 105778
- ISSN
- 0169-2607
- Cited by
- 77
- References
- 0
- Language
- en
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