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- 2011 Annual Meeting
- Food, Pharmaceutical & Bioengineering Division
- Poster Session: Engineering Fundamentals In Life Science
- (625b) An Automated Tissue Digester for Pancreatic Islet Production
This research focuses on the incorporation of an automated horizontally rotating digester consisting of a rotating outer cylinder with hemispherical baffles and a counter-rotating cylindrical core with hemispherical flow diverters. The specified spacing between baffles and diverters is one variable under investigation, along with the selection of rotation speeds. This configuration is designed to enhance the turbulent effect and maximize contact area between tissue fragments and walls. Inlet and outlet rotary unions, drive pulleys, the core rotator diameter, and the shell rotator length, speed of associated pumps, and operation of valves are variables that can be adjusted for optimization studies. In the digestion process, the rotation of the inner core is adjusted for optimum dissociation, and independently the exterior wall rotation (in the opposite direction) is optimized to maintain particles in suspension without centrifuging them. As particle size distribution is diminished during digestion, rotation speeds will need to be changed, so a particle tracking velocimeter (PTV) is applied as the imaging system in order to monitor the tissue particles. In addition, calculations of relevant parameters including Reynolds number (Re), shear rate, energy dissipation rate per volume and Kolmogoroff length have performed. These calculations have been made to compare the Ricordi chamber, a (Rushton) stirred tank and the novel digester. This algebraic operation has been followed by a homogeneous single-phase computational fluid dynamics (CFD) model developed for simulating the flow patterns in the digester. The validation of the model is performed through the comparison of numerical results with important experimental data. The designed outcome is a predictable, controllable fluid shear environment, optimized differential rotation mode, adjustable vessel volume, and larger collision contact area. These characteristics can be applied to an automatic mode instead of manual operation thereby enhancing the predictability of pancreatic islet preparation.