(315h) Temporally and Spatially Resolved Concentration Profiling Via Distributed Colloidal Particles with Onboard 1D Memristive Arrays

Accurate mapping of chemical concentrations in reactors is a problem as old as the discipline itself and remains an obstacle to establish complete systems-level insight and control. This issue extends beyond traditional reactor design to biological (in vivo and in vitro), environmental, and other inaccessible systems of interest. Memristive materials are gaining traction as valuable tools in complex sensing applications, and encapsulating these materials into arrays on microparticles demonstrates the distinct potential for diffuse measurements of chemical, temporal, and physical data. In this study, we establish a workflow for the simulated deployment of these microparticle trackers in contemporary, sequestered systems of interest, measuring short chain fatty acid (SCFA) concentrations in the intestines, and how the simulation can aid in designing memristive particles for real-world use. We utilize, and compare, multiple Gillespie Kinetic Monte Carlo (GKMC) algorithms to allow for individual treatment of these particles, which reflects their distributed nature. Our results show that multiple copies of identical 1-D memristive arrays, when distributed inside a system of colloidal particles, can provide accurate SCFA concentration profiling in the intestines. This was previously believed to be the unique capability of the 2-D memristive array, which increases fabrication complexity and energy demands. Our results also show that by combining different types of memristive particles, one can extract more detailed information with fewer total particles deployed. This work builds upon previous ideas in memristive particle deployment and demonstrates complex information gathering capabilities with manufacturable 1-D arrays in isolated systems.