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Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide
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| Zeitschriftentitel: | Journal of The Royal Society Interface |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of The Royal Society Interface, 15, 2018, 139, S. 20170949 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
The Royal Society
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| Schlagwörter: |
| author_facet |
Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. |
|---|---|
| author |
Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. |
| spellingShingle |
Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. Journal of The Royal Society Interface Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide Biomedical Engineering Biochemistry Biomaterials Bioengineering Biophysics Biotechnology |
| author_sort |
puvirajesinghe, t. m. |
| spelling |
Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. 1742-5689 1742-5662 The Royal Society Biomedical Engineering Biochemistry Biomaterials Bioengineering Biophysics Biotechnology http://dx.doi.org/10.1098/rsif.2017.0949 <jats:p>Graphene oxide (GO) is increasingly used for controlling mass diffusion in hydrogel-based drug delivery applications. On the macro-scale, the density of GO in the hydrogel is a critical parameter for modulating drug release. Here, we investigate the diffusion of a peptide drug through a network of GO membranes and GO-embedded hydrogels, modelled as porous matrices resembling both laminated and ‘house of cards’ structures. Our experiments use a therapeutic peptide and show a tunable nonlinear dependence of the peptide concentration upon time. We establish models using numerical simulations with a diffusion equation accounting for the photo-thermal degradation of fluorophores and an effective percolation model to simulate the experimental data. The modelling yields an interpretation of the control of drug diffusion through GO membranes, which is extended to the diffusion of the peptide in GO-embedded agarose hydrogels. Varying the density of micron-sized GO flakes allows for fine control of the drug diffusion. We further show that both GO density and size influence the drug release rate. The ability to tune the density of hydrogel-like GO membranes to control drug release rates has exciting implications to offer guidelines for tailoring drug release rates in hydrogel-based therapeutic delivery applications.</jats:p> Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide Journal of The Royal Society Interface |
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| title |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_unstemmed |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_full |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_fullStr |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_full_unstemmed |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_short |
Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_sort |
tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| topic |
Biomedical Engineering Biochemistry Biomaterials Bioengineering Biophysics Biotechnology |
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http://dx.doi.org/10.1098/rsif.2017.0949 |
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2018 |
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20170949 |
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<jats:p>Graphene oxide (GO) is increasingly used for controlling mass diffusion in hydrogel-based drug delivery applications. On the macro-scale, the density of GO in the hydrogel is a critical parameter for modulating drug release. Here, we investigate the diffusion of a peptide drug through a network of GO membranes and GO-embedded hydrogels, modelled as porous matrices resembling both laminated and ‘house of cards’ structures. Our experiments use a therapeutic peptide and show a tunable nonlinear dependence of the peptide concentration upon time. We establish models using numerical simulations with a diffusion equation accounting for the photo-thermal degradation of fluorophores and an effective percolation model to simulate the experimental data. The modelling yields an interpretation of the control of drug diffusion through GO membranes, which is extended to the diffusion of the peptide in GO-embedded agarose hydrogels. Varying the density of micron-sized GO flakes allows for fine control of the drug diffusion. We further show that both GO density and size influence the drug release rate. The ability to tune the density of hydrogel-like GO membranes to control drug release rates has exciting implications to offer guidelines for tailoring drug release rates in hydrogel-based therapeutic delivery applications.</jats:p> |
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| author | Puvirajesinghe, T. M., Zhi, Z. L., Craster, R. V., Guenneau, S. |
| author_facet | Puvirajesinghe, T. M., Zhi, Z. L., Craster, R. V., Guenneau, S., Puvirajesinghe, T. M., Zhi, Z. L., Craster, R. V., Guenneau, S. |
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| description | <jats:p>Graphene oxide (GO) is increasingly used for controlling mass diffusion in hydrogel-based drug delivery applications. On the macro-scale, the density of GO in the hydrogel is a critical parameter for modulating drug release. Here, we investigate the diffusion of a peptide drug through a network of GO membranes and GO-embedded hydrogels, modelled as porous matrices resembling both laminated and ‘house of cards’ structures. Our experiments use a therapeutic peptide and show a tunable nonlinear dependence of the peptide concentration upon time. We establish models using numerical simulations with a diffusion equation accounting for the photo-thermal degradation of fluorophores and an effective percolation model to simulate the experimental data. The modelling yields an interpretation of the control of drug diffusion through GO membranes, which is extended to the diffusion of the peptide in GO-embedded agarose hydrogels. Varying the density of micron-sized GO flakes allows for fine control of the drug diffusion. We further show that both GO density and size influence the drug release rate. The ability to tune the density of hydrogel-like GO membranes to control drug release rates has exciting implications to offer guidelines for tailoring drug release rates in hydrogel-based therapeutic delivery applications.</jats:p> |
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| spelling | Puvirajesinghe, T. M. Zhi, Z. L. Craster, R. V. Guenneau, S. 1742-5689 1742-5662 The Royal Society Biomedical Engineering Biochemistry Biomaterials Bioengineering Biophysics Biotechnology http://dx.doi.org/10.1098/rsif.2017.0949 <jats:p>Graphene oxide (GO) is increasingly used for controlling mass diffusion in hydrogel-based drug delivery applications. On the macro-scale, the density of GO in the hydrogel is a critical parameter for modulating drug release. Here, we investigate the diffusion of a peptide drug through a network of GO membranes and GO-embedded hydrogels, modelled as porous matrices resembling both laminated and ‘house of cards’ structures. Our experiments use a therapeutic peptide and show a tunable nonlinear dependence of the peptide concentration upon time. We establish models using numerical simulations with a diffusion equation accounting for the photo-thermal degradation of fluorophores and an effective percolation model to simulate the experimental data. The modelling yields an interpretation of the control of drug diffusion through GO membranes, which is extended to the diffusion of the peptide in GO-embedded agarose hydrogels. Varying the density of micron-sized GO flakes allows for fine control of the drug diffusion. We further show that both GO density and size influence the drug release rate. The ability to tune the density of hydrogel-like GO membranes to control drug release rates has exciting implications to offer guidelines for tailoring drug release rates in hydrogel-based therapeutic delivery applications.</jats:p> Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide Journal of The Royal Society Interface |
| spellingShingle | Puvirajesinghe, T. M., Zhi, Z. L., Craster, R. V., Guenneau, S., Journal of The Royal Society Interface, Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide, Biomedical Engineering, Biochemistry, Biomaterials, Bioengineering, Biophysics, Biotechnology |
| title | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_full | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_fullStr | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_full_unstemmed | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_short | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_sort | tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| title_unstemmed | Tailoring drug release rates in hydrogel-based therapeutic delivery applications using graphene oxide |
| topic | Biomedical Engineering, Biochemistry, Biomaterials, Bioengineering, Biophysics, Biotechnology |
| url | http://dx.doi.org/10.1098/rsif.2017.0949 |