Organ-on-Chip у хімії

Introduction

Organ-on-chip (OoC) technologies recreate aspects of tissue microenvironments within microfluidic devices. For chemists, OoCs enable controlled exposure studies, reaction monitoring, and coupled biotransformations with real-time analytics. Integration with electrochemical sensors and optical readouts provides high-content data for ADME/Tox and reaction optimization.

Device Architecture

Multi-channel microfluidics with shear control

Porous membranes for co-culture and transport

Embedded electrodes (amperometric, potentiometric, EIS)

Optical windows for microscopy and spectroscopic probes

Programmable flow and environmental control (O2, CO2, temperature)

Fluid Dynamics

The simulation of fluid dynamics involves the calculation of flow patterns within a system, accounting for factors such as viscosity, pressure gradients, and external forces. The accuracy of these simulations depends on the resolution of the mesh used to discretize the fluid domain, as well as the chosen numerical methods for solving the governing equations.

Key parameters include Reynolds number (Re), which characterizes the flow regime (laminar or turbulent), viscosity (μ), density (ρ), and pressure drop. The simulation will track changes in these parameters over time, providing insights into the fluid behavior.

Simulated Drug Discovery: A Multi-Scale Approach

The system allows users to simulate drug discovery processes, including target identification, lead compound screening, and pharmacokinetic/pharmacodynamic (PK/PD) modeling.

Users can define various parameters such as cell types, concentrations of reactants, and reaction times to accurately model the complex interactions occurring within a biological system.

The software incorporates advanced algorithms for simulating diffusion, convection, and chemical reactions, providing valuable insights into drug behavior and potential toxicity.

Fluid Dynamics Simulation

The simulation allows users to explore the complex behavior of fluids, including viscosity, turbulence, and buoyancy. Users can adjust parameters such as fluid density, viscosity, and gravitational force to observe how these factors affect fluid flow patterns.

Users can also simulate different types of fluid flows, such as laminar flow, turbulent flow, and multiphase flow (e.g., gas-liquid or liquid-liquid). The simulation provides detailed visualizations of the flow field, including velocity vectors, streamlines, and pressure distributions.

The simulation incorporates advanced numerical methods, such as finite volume method and finite element method, to accurately solve the governing equations of fluid dynamics. Users can also apply boundary conditions, such as inlet velocities, outlet pressures, and wall conditions, to control the flow behavior.

Fluid Dynamics Simulation - Validation

The simulation should be validated against established fluid dynamics principles and experimental data where available. Specifically, the Reynolds number (Re) should be calculated and compared to values appropriate for the simulated flow regime. Ensure that the viscosity parameter is accurately defined and consistent with the chosen fluid model.

Careful attention must be paid to the representation of boundary conditions. The inlet velocity profile, in particular, should be carefully validated against experimental data or theoretical predictions. Consider using a fully developed turbulent channel as a reference case for comparison.

The simulation results should be compared to analytical solutions for simple flow geometries (e.g., Poiseuille flow) to verify the accuracy of the numerical methods and parameters used. Pay particular attention to the predicted velocity profiles and pressure drops.

Worked Examples

Example 1: Electrochemical ROS Sensing Fabricate Au microelectrodes; apply enzyme layer for H₂O₂ detection. Calibrate under flow; expose to pro-oxidants; record dose–response. Validate with fluorescence and external standards.

Example 2: Liver-on-Chip Metabolism Assay Seed hepatocytes on ECM membrane; establish perfusion. Introduce parent compound; sample effluent; analyze via LC–MS. Estimate clearance and metabolite pathways.

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