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Modeling of Magnetic Scaffolds as Drug Delivery Platforms for Tissue Engineering and Cancer Therapy.

Authors :
Lodi, Matteo B.
Corda, Eleonora M. A.
Desogus, Francesco
Fanti, Alessandro
Mazzarella, Giuseppe
Source :
Bioengineering (Basel). Jun2024, Vol. 11 Issue 6, p573. 18p.
Publication Year :
2024

Abstract

Magnetic scaffolds (MagSs) are magneto-responsive devices obtained by the combination of traditional biomaterials (e.g., polymers, bioceramics, and bioglasses) and magnetic nanoparticles. This work analyzes the literature about MagSs used as drug delivery systems for tissue repair and cancer treatment. These devices can be used as innovative drugs and/or biomolecules delivery systems. Through the application of a static or dynamic stimulus, MagSs can trigger drug release in a controlled and remote way. However, most of MagSs used as drug delivery systems are not optimized and properly modeled, causing a local inhomogeneous distribution of the drug's concentration and burst release. Few physical–mathematical models have been presented to study and analyze different MagSs, with the lack of a systematic vision. In this work, we propose a modeling framework. We modeled the experimental data of drug release from different MagSs, under various magnetic field types, taken from the literature. The data were fitted to a modified Gompertz equation and to the Korsmeyer–Peppas model (KPM). The correlation coefficient ( R 2 ) and the root mean square error (RMSE) were the figures of merit used to evaluate the fitting quality. It has been found that the Gompertz model can fit most of the drug delivery cases, with an average RMSE below 0.01 and R 2 > 0.9 . This quantitative interpretation of existing experimental data can foster the design and use of MagSs for drug delivery applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23065354
Volume :
11
Issue :
6
Database :
Academic Search Index
Journal :
Bioengineering (Basel)
Publication Type :
Academic Journal
Accession number :
178155986
Full Text :
https://doi.org/10.3390/bioengineering11060573