Literature DB >> 8399957

Optimization of release from magnetically controlled polymeric drug release devices.

E R Edelman1, R Langer.   

Abstract

Release rates from drug:polymer matrices embedded with small magnets increase in the presence of oscillating magnetic fields. Previous studies of these systems have defined those parameters that determine the extent of the increase in release, and implied that not only was the force generated within the matrix an important determinant of the extent of modulation but also that the greater the amount of matrix actually displaced, the greater the observed modulation. We investigated this possibility in the magnetic system and developed a model taking into account the intersection of the volume of a cylindrical polymer-drug magnet embedded matrix with an imaginary sphere representing the upper limit of matrix deformation by the magnet. The intersection correlated in a linear fashion with the increase in release (slope = 1.16 +/- 0.26, R = 0.864, P = 0.003, s.e.e. = 1.38). Magnet orientation alone was insufficient to explain the data. It appears that a modulated system is optimized when the modulating force overlaps precisely with the maximum amount of matrix drug that can be released. If the size of the matrix, position of the magnet, force generated on the matrix by the magnet, viscoelastic properties of the matrix, etc. are not matched then modulation is inefficient. These results should provide further insight into and a means of optimization for externally regulated controlled release systems.

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Year:  1993        PMID: 8399957     DOI: 10.1016/0142-9612(93)90182-2

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  10 in total

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Review 6.  Magnetothermally-responsive nanomaterials: combining magnetic nanostructures and thermally-sensitive polymers for triggered drug release.

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Journal:  ACS Appl Mater Interfaces       Date:  2014-04-22       Impact factor: 9.229

9.  Magnetic nanoparticles: a strategy to target the choroidal layer in the posterior segment of the eye.

Authors:  Martina Giannaccini; Lucia Pedicini; Guglielma De Matienzo; Federica Chiellini; Luciana Dente; Vittoria Raffa
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

10.  Remotely Triggered Nano-Theranostics For Cancer Applications.

Authors:  Alexandra Sneider; Derek VanDyke; Shailee Paliwal; Prakash Rai
Journal:  Nanotheranostics       Date:  2017
  10 in total

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