Further verification of adsorption dynamic intraparticle model (ADIM) for fluid–solid adsorption kinetics in batch reactors

Russo, Vincenzo; Tesser, Riccardo; Masiello, Davide; Trifuoggi, Marco; Serio, Martino Di

doi:10.1016/j.cej.2015.08.066

Cited by 20 publications

(12 citation statements)

References 20 publications

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“…It is expressed by an Arrhenius‐like equation (Eq. ), as demonstrated by Do and Russo et al .

true D_{normalS} = D_{normalS}^{0} e^{- \frac{E_{normalS}}{RT}}

…”

Section: Adsorption Mechanismmentioning

confidence: 66%

“…Even if the implementation of these models is more difficult, consisting often in partial differential equations (PDEs), these models are nowadays used as literature survey confirm, i.e., linear driving force model , homogeneous solid diffusion model (HSDM) , Weber‐Morris , , , , , , , Dumwald‐Wagner , Wiczak‐Keinath , , single homogeneous particle model , , and A.D.I.M. . In the next paragraphs, the most common models are reviewed.…”

Section: Adsorption Kineticsmentioning

confidence: 99%

“…The model has been tested on different systems showing good performances. In particular, different physical effects have been tested: temperature dependence on D S parameter , different particle sizes , , stirring rate , and interaction between molecule/sorbent couples . High flexibility of the model was observed, being able to interpret kinetic batch adsorption data of a wide variety of systems such as metal and heavy metal ions, organic compounds as solutes and zeolites, active carbon, and polysaccharides as sorbents.…”

Section: Adsorption Kineticsmentioning

confidence: 99%

“…A set of simulations has been performed, by using the recently published adsorption dynamic intraparticle model (A.D.I.M.) , to depict the dependency of all the physical parameters related to adsorption columns on the predictable breakthrough curves.…”

Section: Introductionmentioning

confidence: 99%

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Fluid‐Solid Adsorption in Batch and Continuous Processing: A Review and Insights into Modeling

et al. 2017

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Adsorption is a highly versatile separation technique that can be used both for product separation and waste purification, involving selective interaction of one or more compounds from the liquid phase on a solid called adsorbent. In literature, several models have been proposed to describe both the kinetics and the equilibrium data of different systems. These models are relevant for fluid-solid adsorption and fluid-solid reactions. Kinetic models can be classified in either pseudo-kinetic or diffusive models. Most of them cannot be applied directly in simulating the behavior of continuous columns, while others are applicable only in a narrow range of experimental conditions. The performances of a general continuous adsorption model have been tested by performing a dedicated parametric investigation with the aim to give an overview of how the parameters affect the continuous operation

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“…It is expressed by an Arrhenius‐like equation (Eq. ), as demonstrated by Do and Russo et al .

true D_{normalS} = D_{normalS}^{0} e^{- \frac{E_{normalS}}{RT}}

…”

Section: Adsorption Mechanismmentioning

confidence: 66%

Section: Adsorption Kineticsmentioning

confidence: 99%

Section: Adsorption Kineticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fluid‐Solid Adsorption in Batch and Continuous Processing: A Review and Insights into Modeling

et al. 2017

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“…Many mathematical models have been developed for intraparticle diffusion of liquid adsorption on porous materials, attempting to understand adsorption kinetics in relation to the adsorbent pore structures and surface properties in terms of a constant diffusion coefficient assuming homogeneous pore property of the adsorbent [30][31][32][33][34][35][36][37][38]. Study of pore size heterogeneity revealed the variation of adsorbate diffusivity within the porous adsorbent [23,39,40].…”

Section: Introductionmentioning

confidence: 99%

Adsorption of pyridine from aqueous solutions by polymeric adsorbents MN 200 and MN 500. Part 2: Kinetics and diffusion analysis

Zhu

Moggridge

D’Agostino

2016

Chemical Engineering Journal

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Telephone: +44 (0)1223 334763Fax: +44 (0)1223 334796 2 AbstractThe adsorption kinetics of pyridine adsorption on Macronet adsorbents MN 200 and MN 500 from aqueous solution was investigated at various initial pyridine concentrations and temperatures. The Weber-Morris plots revealed the influence of both external film diffusion and intraparticle diffusion resistances. The two linear regions in Weber-Morris plots were attributed to macropore and micropore diffusion, which was associated to the bimodal pore size distribution of the adsorbents. New insights into the diffusion mechanisms were highlighted, with the proposed internal film diffusion resistance dominating into the macropore region, whereas homogeneous particle diffusion resistance describes diffusion in the micropore region. The importance of pore and surface diffusion in the micropores was noted in contributing to the observed diffusion kinetics. The pore diffusion coefficient was estimated from PFG (pulsedfield gradient) parameter and molecular diffusion coefficient of pyridine in bulk liquid. A greater contribution of the surface to the overall diffusion kinetics was found for MN 500 as inferred from a proposed calculation method, which agrees with its better adsorption performance. The overall findings highlight the effect of pore structure onto the diffusion mechanisms inside the pores and help to gain a better understanding into the adsorption kinetics of these Macronet adsorbents, which are promising materials for the removal of Nheterocyclic compounds from waste water.

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On the comparison of pseudo-first order and pseudo-second order rate laws in the modeling of adsorption kinetics

Simonin

2016

Chemical Engineering Journal

1,550

519

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In most works in the current literature about liquid/solid adsorption kinetics, the respective abilities of pseudo-first order and pseudo-second kinetics for describing the data are compared. In nearly all cases, it is concluded that the latter surpasses the former. The aim of this work is to point out that more caution should be exercised in this comparison. Indeed, it appears that the method generally used is flawed and that it unfairly favors pseudo-second order kinetics. A different method is proposed to analyze experimental results. It is employed here to reexamine experimental data taken from the literature.

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Further verification of adsorption dynamic intraparticle model (ADIM) for fluid–solid adsorption kinetics in batch reactors

Cited by 20 publications

References 20 publications

Fluid‐Solid Adsorption in Batch and Continuous Processing: A Review and Insights into Modeling

Fluid‐Solid Adsorption in Batch and Continuous Processing: A Review and Insights into Modeling

Adsorption of pyridine from aqueous solutions by polymeric adsorbents MN 200 and MN 500. Part 2: Kinetics and diffusion analysis

On the comparison of pseudo-first order and pseudo-second order rate laws in the modeling of adsorption kinetics

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