Non-delaminating pulsatile release composites. (17th February 2016)

• Record Type: Journal Article
• Authors: Gandhi, Swapnil; Nuxoll, Eric
• Is Part Of: Chemical engineering science. Volume 141(2016)
• Page Start: 133
• Page End: 142
• Publication Date: 2016-02-17
• Subjects: Controlled release -- Barrier membrane -- Stimuli-sensitive hydrogel -- Computational modeling; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2015.10.037
• Languages: English
• ISSNs: 0009-2509

Abstract

Abstract: By sequestering individual doses of chemical in stimuli-sensitive depot membranes and stacking them between stimulant barriers, automated pulsatile chemical release can be obtained from a simple polymer laminate. By using non-degrading hydrogel depots, this approach has been demonstrated releasing multiple chemicals in up to ten pulses, with each depot membrane delaminating and releasing its payload at a preprogrammed time. This paper reports the first experimental demonstration of a non-delaminating, non-degrading pulsatile release composite, for applications where delamination may be unsuitable. Non-delaminating systems not only require significantly larger development resources, they have an inherent periodicity limit which increases with the number of pulses desired. This limit is not analytically tractable, prompting the development of a computational model to predict the complete release profile. This model is validated against experimental delaminating systems, then adapted to non-delaminating systems to correlate the system׳s pulsatility with the physical parameters of the system, including diffusion coefficients, stimulant concentration, solute loading, scavenger loading and membrane thicknesses. These correlations facilitate rapid feasibility assessment of proposed non-delaminating pulsatile release applications prior to development of physical systems. Highlights: Autonomous multi-pulse delivery from passive device with no central reservoir. No degradation products or disintegration of device. Release different solutes at different times from single device. Computational model for predicting/optimizing device design. Correlation of key design parameters for rapid feasibility assessment.