An automated multi-component gas adsorption system (MC GAS)

The knowledge gap on adsorption of complex mixtures in the literature relative to single component data represents a persistent obstacle developing accurate process models for separations. collection mixed gas is an imminent need improved understanding behavior adsorbent systems these diverse applications. Current approaches mixture using predictive theories based pure experiments often fail capture more complex, non-ideal systems. In this work, we present automated volumetric instrument measurement isotherms. This was validated by comparison other in-house instruments and available literature, binary measurements were found be thermodynamically consistent. automation allows rapid high-quality data.