Imperial College London

ProfessorDanieleDini

Faculty of EngineeringDepartment of Mechanical Engineering

Professor in Tribology
 
 
 
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Contact

 

+44 (0)20 7594 7242d.dini Website

 
 
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Location

 

669City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yuan:2023:10.3390/ijms24032534,
author = {Yuan, T and Yang, Y and Zhan, W and Dini, D},
doi = {10.3390/ijms24032534},
journal = {International Journal of Molecular Sciences},
pages = {1--15},
title = {Mathematical optimisation of magnetic nanoparticle diffusion in the brain white matter},
url = {http://dx.doi.org/10.3390/ijms24032534},
volume = {24},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Magnetic nanoparticles (MNPs) are a promising drug delivery system to treat brain diseases, as the particle transport trajectory can be manipulated by an external magnetic field. However, due to the complex microstructure of brain tissues, particularly the arrangement of nerve fibres in the white matter (WM), how to achieve desired drug distribution patterns, e.g., uniform distribution, is largely unknown. In this study, by adopting a mathematical model capable of capturing the diffusion trajectories of MNPs, we conducted a pilot study to investigate the effects of key parameters in the MNP delivery on the particle diffusion behaviours in the brain WM microstructures. The results show that (i) a uniform distribution of MNPs can be achieved in anisotropic tissues by adjusting the particle size and magnetic field; (ii) particle size plays a key role in determining MNPs’ diffusion behaviours. The magnitude of MNP equivalent diffusivity is reversely correlated to the particle size. The MNPs with a dimension greater than 90 nm cannot reach a uniform distribution in the brain WM even in an external magnitude field; (iii) axon tortuosity may lead to transversely anisotropic MNP transport in the brain WM; however, this effect can be mitigated by applying an external magnetic field perpendicular to the local axon track. This study not only advances understanding to answer the question of how to optimise MNP delivery, but also demonstrates the potential of mathematical modelling to help achieve desired drug distributions in biological tissues with a complex microstructure.
AU - Yuan,T
AU - Yang,Y
AU - Zhan,W
AU - Dini,D
DO - 10.3390/ijms24032534
EP - 15
PY - 2023///
SN - 1422-0067
SP - 1
TI - Mathematical optimisation of magnetic nanoparticle diffusion in the brain white matter
T2 - International Journal of Molecular Sciences
UR - http://dx.doi.org/10.3390/ijms24032534
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000932961800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.mdpi.com/1422-0067/24/3/2534
UR - http://hdl.handle.net/10044/1/104190
VL - 24
ER -