Introduction to Multicomponent Adsorption

What is/are Multicomponent Adsorption?

Multicomponent Adsorption - Published data of breakthrough capacities at different pressures for CO2 and H2O were used to validate a multicomponent adsorption isotherm. ^[1] This commentary discusses the persistent nature of the mixture-adsorption knowledge gap, while providing some historical framework, and provides several strategies that researchers might adopt to move toward true multicomponent adsorption studies. ^[2] The model can be combined either with experimentally meausured isotherms or with a large variety of equilibrium adsorption isotherm equations for mono- and (pseudo) multicomponent adsorption of charged and uncharged solutes on homogeneous and heterogeneous surfaces. ^[3] Significantly, multicomponent adsorption experiments, infrared spectroscopy, magic angle spinning solid-state NMR spectroscopy, and van der Waals-corrected density functional theory studies suggest that water enhances CO2 capture in 2-ampd-Mg2(dobpdc) through hydrogen-bonding interactions with the carbamate groups of the ammonium carbamate chains formed upon CO2 adsorption, thereby increasing the thermodynamic driving force for CO2 binding. ^[4] In addition to storage capacity, engineering implications of Henry’s law constant, heat of adsorption, and multicomponent adsorption are examined with examples to inform material scientists who develop materials. ^[5] We extend the Statistical Associating Fluid Theory for a Mie potential with a Variable Range (SAFT-VR Mie) equation of state for the prediction of multicomponent adsorption isotherms. ^[6] A Helmholtz energy functional based on the perturbed-chain statistical associating fluid theory (PC-SAFT) is applied to calculate isotherms and selectivities of multicomponent adsorption. ^[7] There is limited literature on the application of film-pore volume diffusion model for multicomponent adsorption systems in previous modeling studies; hence, the performance of this kinetic model was evaluated in this study using data from concentration decay curves of multicomponent adsorption systems. ^[8] In this article, an attempt is made to determine the adsorption equilibria of CH4 and CO2 mixture over a wide range of pressure and free gas compositions with the help of developed computational approach using the Ideal Adsorption Solution theory (IAST) for multicomponent adsorption. ^[9] In this study, the Potential theory-based Manes method was used to describe competitive multicomponent adsorption of VOC and water vapor onto activated carbon. ^[10] The rollup phenomena observed during multicomponent adsorption were explained by the competitive displacement or adsorption affinities of aromatic VOCs. ^[11] We combine multicomponent adsorption measurements with the detailed design of a simulated moving-bed (SMB) process for high-purity furanics (primarily DMF) production and concurrent generation of a purified solvent (n-butanol, BuOH) recycle stream. ^[12] In adsorption separations, however, it is common that the adsorbent participates in a multicomponent adsorption event. ^[13] Roles of multicomponent adsorption modeled by an Extended Langmuir model and geomechanics modeled by both a modified Barton-Bandis Model and a novel hysteresis rebound model are investigated during primary recovery and CO2 enhanced recovery. ^[14] By multicomponent adsorption experiment, the functionalized biochar showed a higher affinity to methylene blue than methyl orange, indicating the potential of our products as a promising separator of methylene blue. ^[15] For the design of such processes it is essential to understand the complex nature of the multicomponent adsorption behavior. ^[16] 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. ^[17] The sources of the adsorbent heterogeneity are discussed, and the pros and cons of several analytical heterogeneous models describing pure and multicomponent adsorption isotherms, heats, and adsorbate mass-transfer coefficients are analyzed. ^[18] The dynamic adsorption model consists of the macroscopic mass, momentum, and energy conservation equations and includes a multicomponent adsorption isotherm to predict the competitive adsorption equilibria between VOC and water vapor, which is described by an extended Manes method. ^[19] The study focuses on the single and multicomponent adsorption of phenolic compounds from solution onto an activated carbon in the concentration range of 50-500 ppm at room temperature. ^[20] Regarding porosity, our results show that, for this particular mixture, SACs with narrow micropore size distribution and moderate porous texture development (surface area in the range of 1000 m2/g or even lower) exhibit higher multicomponent adsorption capacities than others with much larger porosities. ^[21] Then, obtained data were correlated by Langmuir and Tóth models, and multicomponent adsorption was predicted using Extended Langmuir, Extended Tóth and Ideal Adsorption Solution Theory (IAST) methods. ^[22] A strong antagonistic effect for the multicomponent adsorption of Zn2+ was identified due to the presence of other competitive metal ions in the ternary solution. ^[23] Using an approach that combines adsorption measurements, model fitting, and SMB model predictions that allow targeted selection of compositions for adsorption measurements, we demonstrate convergence of the concurrent method in three iterations with only a small number (32 in total) of multicomponent adsorption measurements. ^[24]

multicomponent adsorption isotherm

Published data of breakthrough capacities at different pressures for CO2 and H2O were used to validate a multicomponent adsorption isotherm. ^[1] We extend the Statistical Associating Fluid Theory for a Mie potential with a Variable Range (SAFT-VR Mie) equation of state for the prediction of multicomponent adsorption isotherms. ^[2] The sources of the adsorbent heterogeneity are discussed, and the pros and cons of several analytical heterogeneous models describing pure and multicomponent adsorption isotherms, heats, and adsorbate mass-transfer coefficients are analyzed. ^[3] The dynamic adsorption model consists of the macroscopic mass, momentum, and energy conservation equations and includes a multicomponent adsorption isotherm to predict the competitive adsorption equilibria between VOC and water vapor, which is described by an extended Manes method. ^[4]

multicomponent adsorption experiment

Significantly, multicomponent adsorption experiments, infrared spectroscopy, magic angle spinning solid-state NMR spectroscopy, and van der Waals-corrected density functional theory studies suggest that water enhances CO2 capture in 2-ampd-Mg2(dobpdc) through hydrogen-bonding interactions with the carbamate groups of the ammonium carbamate chains formed upon CO2 adsorption, thereby increasing the thermodynamic driving force for CO2 binding. ^[1] By multicomponent adsorption experiment, the functionalized biochar showed a higher affinity to methylene blue than methyl orange, indicating the potential of our products as a promising separator of methylene blue. ^[2]

multicomponent adsorption measurement

We combine multicomponent adsorption measurements with the detailed design of a simulated moving-bed (SMB) process for high-purity furanics (primarily DMF) production and concurrent generation of a purified solvent (n-butanol, BuOH) recycle stream. ^[1] Using an approach that combines adsorption measurements, model fitting, and SMB model predictions that allow targeted selection of compositions for adsorption measurements, we demonstrate convergence of the concurrent method in three iterations with only a small number (32 in total) of multicomponent adsorption measurements. ^[2]