Design, Simulation, and Evaluation of Polymer-Based Microfluidic Devices via Computational Fluid Dynamics and Cell Culture "On-Chip"

Sensor extended imaging workflow for creating fit for purpose models in basic and applied cell biology

While various engineering disciplines spent years on developing methods and workflows to increase their R&D efficiency, the field of cell biology has seen limited evolution in the fundamental approaches to interact with living cells. Perturbations are mostly of chemical nature, and physiologically relevant contexts and stimuli are left with limited attention, resulting in a solution space constrained within the boundaries of presently manageable perturbations. To predict in the laboratory how a drug will work in a human patient, cell biology must have a closer look at life and strive to mimic the human being in all his complexity. By implementing an iterative process from perturbation to measurement and vice versa, the authors suggest using a sensor-extended imaging workflow to implement product development practices to cell biology, opening a physiologically relevant solution space for the development of truly translational and predictive fit for purpose in vitro cell models.

A hybrid fluorescent nanofiber membrane integrated with microfluidic chips towards lung-on-a-chip applications

Here, we report a fluorescent electrospun nanofiber membrane for integration into microfluidic devices towards lung-on-a-chip applications complemented with the results of computational fluid dynamics modelling. A proposed hybrid poly(ε-caprolactone) (PCL)-collagen membrane was developed, characterized, tested, and integrated into a prototype microfluidic chip for biocompatibility studies. The resulting membrane has a thickness of approximately 10 μm, can be adjusted for appropriate porosity, and offers excellent biocompatibility for mimicry of a basement membrane to be used in lung-on-a-chip device applications. Several membrane variations were synthesized and evaluated using SEM, FTIR, AFM, and high-resolution confocal fluorescence microscopy. A sample microfluidic chip made of cyclic olefin copolymer and polydimethylsiloxane was built and integrated with the developed PCL-collagen membrane for on-chip cell culture visualisation and biocompatibility studies. The sample chip design was modelled to determine the optimal fluidic conditions for using the membrane in the chip under fluidic conditions for future studies. The integration of the proposed membrane into microfluidic devices represents a novel strategy for improving lung-on-a-chip applications which can enhance laboratory recapitulation of the lung microenvironment.

Computational Modeling as a Tool to Drive the Development of a Novel, Chemical Device for Monitoring the Injured Brain and Body

Real-time measurement of dynamic changes, occurring in the brain and other parts of the body, is useful for the detection and tracked progression of disease and injury. Chemical monitoring of such phenomena exists but is not commonplace, due to the penetrative nature of devices, the lack of continuous measurement, and the inflammatory responses that require pharmacological treatment to alleviate. Soft, flexible devices that more closely match the moduli and shape of monitored tissue and allow for surface microdialysis provide a viable alternative. Here, we show that computational modeling can be used to aid the development of such devices and highlight the considerations when developing a chemical monitoring probe in this way. These models pave the way for the development of a new class of chemical monitoring devices for monitoring neurotrauma, organs, and skin.