A simple way of mixing small volumes (microliters or milliliters) of reagents is by repeatedly dispensing and withdrawing solution from a microwell or tube. In this case study, we used a two-phase multiphysics simulation with coupled fluid flow and mass transfer to analyze the efficacy of this active mixing process.
Bubbles trapped in microchannels can distort the fluid flow and impact the device performance. Veryst developed a multiphase CFD model to predict the effect of geometry and surface properties on the likelihood of bubble entrapment.
Efficient ventilation can reduce a building’s energy consumption and minimize airborne pathogen transmission in hospital rooms. Veryst used computational fluid dynamics (CFD) to simulate ventilation in a hospital room as well as the dispersion of particles and droplets.
Fast mixing of reagents in microfluidic channels and devices is important for DNA sequencing, mRNA vaccine production in small-batch pharmaceutical processes, and point-of-care diagnostics. In this case study, Veryst used computational fluid dynamics simulations to evaluate the mixing performance of three commonly used microfluidic mixers.
Removing reagents or sample from a previous processing step via a wash cycle is a common challenge in microfluidic assays used in diagnostic, genomic, biomedical, pharmaceutical and other applications. This case study shows how finite element simulations may be used to predict and optimize wash cycle performance.
Controlling spatial variations in chemical concentration is important for designing and operating many microfluidic devices across a wide range of industries and applications including diagnostics, genomics, and pharmaceutics. In this case study, we show how simulations may be used to quantify and control concentration gradients in microfluidic devices.
Red bloods cells may be damaged in medical devices due to high shear stresses induced by their flow through the device. Veryst simulated turbulent flow of a converging-diverging nozzle specified in an FDA benchmark study, incorporating different hemolysis models to determine which areas of the device may damage red blood cells.
When a thin structure is immersed in a fluid, its natural frequencies, mode shapes, and damping characteristics may be significantly affected by the fluid. Predicting the dynamic behavior in this case requires a structural-acoustic analysis.
Controlling the size of lipid nanoparticles (LNPs) in small-batch pharmaceutical processes is critical for delivery efficiency in mRNA vaccines, cancer therapies, and point-of-care diagnostics. In this case study, Veryst simulated solvent mixing and LNP self-assembly kinetics in a microfluidic mixer to predict the size distribution of LNPs across a range of process flow conditions.
Flash nanoprecipitation (FNP) is a novel method to produce nanoparticles for a variety of applications, including mRNA vaccine manufacturing. This case study demonstrates the high-fidelity prediction of micromixing rates, which are critical to controlling the size distribution of nanoparticles created using FNP.
The responses of a MEMS switch immersed in fluids differs from that in a vacuum. Veryst Engineering developed a coupled electrostatic-fluid-structure interaction model to investigate the switch response time, deformation, and energy dissipation.
Oxygen transport is a key factor in the design of cell culture systems such as organs-on-a-chip, microphysiological systems, and bioreactors. In this case study, we use multiphysics simulation to analyze oxygen transport and cellular uptake in a model microchannel bioreactor.
The performance of peristaltic pumps is influenced by tube dimensions, tube material, rotary mechanism, and fluid properties. Veryst Engineering developed a strongly coupled fluid-structure interaction model that captures the deformation of the tube, rollers, and fluid, including contact.
Understanding the movement and behavior of droplets a person emits by breathing is essential for infectious disease control. Veryst modeled the trajectory of particles from an individual running at a moderate pace with another runner in their slipstream, while both are exhaling without wearing a mask.
Scaling chemical reactions from the lab to pilot or production requires a detailed understanding of the physical system, which frequently involves heat transfer, mass transfer, reaction kinetics, and fluid flow. This case study illustrates how multiphysics simulations can support design decisions involved in scaling up chemical reactors.