What is it about?
It is about techniques for determining if the process is stable or prone to oscillations.
Photo by Diogo Nunes on Unsplash
Why is it important?
It is a scientific background for proper interpretation of experiments related to gas adsorption on solids, especially for measurements with scarce datasets. The result is applicable to all adsorption-based devices and plants, but also to other population dynamics related phenomena that can be described with the same mathematical model.
Read the Original
This page is a summary of: On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States, Advances in Mathematical Physics, January 2019, Hindawi Publishing Corporation, DOI: 10.1155/2019/7687643.
You can read the full text:
On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States
Abstract: Starting from the fact that monocomponent adsorption, whether modeled by Lagergren or nonlinear Riccati equation, does not sustain oscillations, we speculate about the nature of multiple steady state states in multicomponent adsorption with second-order kinetics and about the possibility that multicomponent adsorption might exhibit oscillating behavior, in order to provide a tool for better discerning possible oscillations from inevitable fluctuations in experimental results or a tool for a better control of adsorption process far from equilibrium. We perform an analysis of stability of binary adsorption with second-order kinetics in multiple ways. We address perturbations around the steady state analytically, first in a classical way, then by introducing Langevin forces and analyzing the reaction flux and cross-correlations, then by applying the stochastic chemical master equation approach, and finally, numerically, by using stochastic simulation algorithms. Our results show that stationary states in this model are stable nodes. Hence, experimental results with purported oscillations in response should be addressed from the point of view of fluctuations and noise analysis.
The following have contributed to this page