μPIV methodology using model systems for flow studies in heterogeneous biopolymer gel microstructures

Area of Science:

• Soft Matter Physics
• Biomaterials Science
• Fluid Dynamics

Background:

• Understanding fluid flow in heterogeneous soft microstructures is crucial for designing advanced materials.
• Current methods often lack the precision to predict mass transport in complex soft materials.

Purpose of the Study:

• To develop and validate a comprehensive methodology for studying fluid flow in heterogeneous soft microstructures.
• To investigate the influence of microstructure characteristics on flow behavior and mass transport.

Main Methods:

• Fabrication of model fractal and random heterogeneous microstructures in polydimethylsiloxane (PDMS).
• Characterization using confocal laser scanning microscopy (CLSM).
• Microparticle Image Velocimetry (μPIV) for experimental flow measurements.
• Lattice-Boltzmann (LB) simulations for predictive flow modeling.

Main Results:

• Flow behavior is significantly influenced by pore size, pore connectivity, and the presence of dead ends.
• Experimental μPIV results show strong agreement with LB simulation predictions.
• LB simulations were performed on 3D geometries derived from actual CLSM images of PDMS structures.

Conclusions:

• The developed methodology provides a reliable framework for predicting mass transport in complex soft materials.
• This approach enables the tailoring of soft biomaterials and composite materials for specific mass transport properties.
• Advances predictive science for the design of functional gels and biomaterials in fields like food science and medicine.