Predicting Drug Release From Degradable Hydrogels Using Fluorescence Correlation Spectroscopy and Mathematical Modeling

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dc.contributor.authorSheth, Saahil
dc.contributor.authorBarnard, Emily
dc.contributor.authorHyatt, Ben
dc.contributor.authorRathinam, Muruhan
dc.contributor.authorZustiak, Silviya Petrova
dc.date.accessioned2020-02-06T19:09:38Z
dc.date.available2020-02-06T19:09:38Z
dc.date.issued2019-12-20
dc.description.abstractPredicting release from degradable hydrogels is challenging but highly valuable in a multitude of applications such as drug delivery and tissue engineering. In this study, we developed a simple mathematical and computational model that accounts for time-varying diffusivity and geometry to predict solute release profiles from degradable hydrogels. Our approach was to use time snapshots of diffusivity and hydrogel geometry data measured experimentally as inputs to a computational model which predicts release profile. We used two model proteins of varying molecular weights: bovine serum albumin (BSA; 66 kDa) and immunoglobulin G (IgG; 150 kDa). We used fluorescence correlation spectroscopy (FCS) to determine protein diffusivity as a function of hydrogel degradation. We tracked changes in gel geometry over the same time period. Curve fits to the diffusivity and geometry data were used as inputs to the computational model to predict the protein release profiles from the degradable hydrogels. We validated the model using conventional bulk release experiments. Because we approached the hydrogel as a black box, the model is particularly valuable for hydrogel systems whose degradation mechanisms are not known or cannot be accurately modeled.en_US
dc.description.sponsorshipThis project was supported by Start-up funds from Saint Louis University awarded to SZ. SS was supported by a Barta Graduate Scholarship awarded from Parks College of Engineering, Aviation and Technology, Saint Louis Universityen_US
dc.description.urihttps://www.frontiersin.org/articles/10.3389/fbioe.2019.00410/fullen_US
dc.format.extent2 filesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2x3gl-ncox
dc.identifier.citationSheth, Saahil; Barnard, Emily; Hyatt, Ben; Rathinam, Muruhan; Zustiak, Silviya Petrova; Predicting Drug Release From Degradable Hydrogels Using Fluorescence Correlation Spectroscopy and Mathematical Modeling; Frontiers in Bioengineering and Biotechnology 7:410 (2019); https://www.frontiersin.org/articles/10.3389/fbioe.2019.00410/fullen_US
dc.identifier.urihttps://doi.org/10.3389/fbioe.2019.00410
dc.identifier.urihttp://hdl.handle.net/11603/17232
dc.language.isoen_USen_US
dc.publisherFrontiers Media S.A.en_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titlePredicting Drug Release From Degradable Hydrogels Using Fluorescence Correlation Spectroscopy and Mathematical Modelingen_US
dc.typeTexten_US

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