Abstract
<h2>Abstract</h2> The retention model by Rao and Buri is often used to characterize microparticles and other drug delivery systems for their bio-adhesive properties. Currently, these experiments are performed on customized setups, reducing reproducibility of results obtained in different labs. As a solution, we propose a fully replicable retention model, which can be constructed by parts mostly made by 3D printing and laser cutting as well as a limited amount of other easy to source and commercially available parts. In addition of being fully replicable, the setup features integration of a climate-controlled chamber, a peristaltic pump and an autosampler, thereby enabling fully automated but customized control of the experiments. Using the presented retention model setup and an automated experimental sequence, the setup has been proven capable of investigating mucoadhesion of differently shaped particles to porcine intestinal tissue.
Highlights
The retention model by Rao and Buri is often used to characterize microparticles and other drug delivery systems for their bio-adhesive properties
We propose a fully replicable retention model, which can be constructed by parts mostly made by 3D printing and laser cutting as well as a limited amount of other easy to source and commercially available parts
Using the presented retention model setup and an automated experimental sequence, the setup has been proven capable of investigating mucoadhesion of differently shaped particles to porcine intestinal tissue
Summary
The retention model, referred to as ex-vivo flow model or flow-through method, was first introduced by Rao and Buri in 1989 and was developed as a method to assay the bio-adhesion of polymers and microparticles to rat gastro-intestinal tissue [1]. The principle of open labware is that, by freely accessing the design files, it can be for example 3D printed and replicated everywhere where there is a 3D printer available (e.g. in Universities or public maker spaces). Based on this approach, different types of lab equipment with different degrees of complexity have been developed and instructions for their replication are available in the literature. As a free and open available development platform, the setup could in the future offer a standard for retention model experiments that researchers could refer to
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