A Critical Overview of Adsorption Models Linearization: Methodological and Statistical Inconsistencies

González‐López, Martín Esteban; Laureano-Anzaldo, César Mario; Pérez‐Fonseca, Aida Alejandra; Arellano, M.; Robledo‐Ortíz, Jorge R.

doi:10.1080/15422119.2021.1951757

Cited by 63 publications

(33 citation statements)

References 116 publications

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“… 21 − 24 Langmuir and Freundlich isotherms are the most widely used models to represent equilibrium in surface adsorption and both have parameters relating to the number of binding sites and adsorbate concentration. 25 Both models were applied to investigate the adsorption equilibrium of HI-SCV-2 onto electronegative filters in three wastewater matrixes of varying TSS concentrations (118, 265, and 497 mg L –1 ) and DI water. HI-SCV-2 was spiked in all matrixes at concentrations ranging from 1 × 10 1 to 5 × 10 4 GU mL –1 (1 × 10 1 1 × 10 2 , 1 × 10 3 , 1 × 10 4 , and 5 × 10 4 ) in DI water and (1 × 10 1 , 5 × 10 1 , 1 × 10 2 , 5 × 10 2 , 1 × 10 3 , 5 × 10 3 , 1 × 10 4 , and 5 × 10 4 ) in wastewater.…”

Section: Methodsmentioning

confidence: 99%

“…The Freundlich isotherm model defines the distribution of adsorption energy onto a heterogeneous surface and describes a reversible and nonideal adsorption process. 25 This empirical model considers that multilayer adsorption is feasible, such that saturation of the adsorbent will not occur. 26 The empirical nature of the Freundlich model is restrictive in offering reliable insight into adsorption mechanisms at the surface level and is commonly favored in biological adsorption.…”

Section: Methodsmentioning

confidence: 99%

“…The PSO kinetic model assumes that the adsorption rate is proportional to the difference between the adsorbed concentration and the number of available sites 25 and can be written as eq 4 where q e and q t are the amounts of HI-SCV-2 (GU cm –2 ) at equilibrium and at time t , respectively, and K 1 is the PSO equilibrium rate constant (1 h –1 ).…”

Section: Methodsmentioning

confidence: 99%

“…The PSO kinetic model assumes that the rate-limiting step in adsorption depends on the collision between solute molecules with unoccupied sites at the adsorbent surface. 25 The PSO model can be written as eq 5 where K 2 is the rate constant of the eq (1 h –1 ).…”

Section: Methodsmentioning

confidence: 99%

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Operational Constraints of Detecting SARS-CoV-2 on Passive Samplers using Electronegative Filters: A Kinetic and Equilibrium Analysis

et al. 2022

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In developing an effective monitoring program for the wastewater surveillance of SARS-CoV-2 ribonucleic acid (RNA), the importance of sampling methodology is paramount. Passive sampling has been shown to be an effective tool to detect SARS-CoV-2 RNA in wastewater. However, the adsorption characteristics of SARS-CoV-2 RNA on passive sampling material are not well-understood, which further obscures the relationship between wastewater surveillance and community infection. In this work, adsorption kinetics and equilibrium characteristics were evaluated using batch-adsorption experiments for heat-inactivated SARS-CoV-2 (HI-SCV-2) adsorption to electronegative filters. Equilibrium isotherms were assessed or a range of total suspended solids (TSS) concentrations (118, 265, and 497 mg L –1 ) in wastewater, and a modeled q max of 7 × 10 3 GU cm –2 was found. Surrogate adsorption kinetics followed a pseudo-first-order model in wastewater with maximum concentrations achieved within 24 h. In both field and isotherm experiments, equilibrium behavior and viral recovery were found to be associated with wastewater and eluate TSS. On the basis of the results of this study, we recommend a standard deployment duration of 24–48 h and the inclusion of eluate TSS measurement to assess the likelihood of solids inhibition during analysis.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Operational Constraints of Detecting SARS-CoV-2 on Passive Samplers using Electronegative Filters: A Kinetic and Equilibrium Analysis

et al. 2022

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“…Under the control of film diffusion, the rate is inversely proportional to the particle size, the distribution coefficient, and the film thickness. The rate-limiting step here is diffusion, which is not concentration or reactant-dependent, so we call it physisorption (physical exchange) [15][16][17][18][19]. If the reaction is governed by a pseudo-2nd order reaction, then chemisorption occurs because a chemical reaction is in charge of the ratecontrolling step.…”

Section: The Best Kinetic Model For Adsorption Of Lead (Ii) Wasmentioning

confidence: 99%

Kinetic Analysis of the Adsorption of lead (II) onto Activated Carbon from Tridax procumbens

et al. 2022

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Adults who are exposed to high levels of lead may develop hypertension and kidney damage. Lead exposure is dangerous for everyone, but it can have devastating effects on pregnant women and their babies. Methods such as membrane separation, ion exchange, precipitation, and biosorption are currently in use for the removal of lead pollution. Biosorption has the fewest negative aspects of these technologies due to its low operating costs, high efficiency at detoxifying low concentrations of toxicants, and small volume of disposal materials. The biosorption of the biosorption of lead (II) onto the activated carbon from Tridax procumbens is remodeled using nonlinear regression and the optimal mode was determined by a series of error function assessments. The best kinetic model for adsorption of lead (II) was Pseudo-1st order with a reasonable difference in terms of corrected Akaike Information Criterion to the next best model, which was pseudo-2nd order, and followed by the Elovich. However, the error function analyses especially the AICc was not conclusive in ranking the pseudo-1st order model as the best model due to the low (less than 5) absolute values of differences between the model. The pseudo-1st order kinetic constants obtained were qe (mg/g) of 6.181 (95% confidence interval from 5.009 to 7.352) and k1 (per min) of 0.007 (95% confidence interval from 0.004 to 0.009). Nonlinear modeling enables the determination of a 95 percent confidence interval for the uncertainty range, which can be used in model comparison and discriminant analysis.

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Comments on “Biosorption of nickel from aqueous solution onto Liagora viscida: Kinetics, isotherm, and thermodynamics”

Tran

Bollinger

Lima

2022

Env Prog and Sustain Energy

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In 2020, Komarabathina and colleagues published the paper above (the original paper). They used the Liagora viscida‐based biosorbent for adsorbing nickel ions from water. Kinetics, isotherm, and thermodynamics are three important components for the correct description of an adsorption process. However, the authors of the original paper introduced several fundamental errors in these three parts. Other important problems in the original paper are inconsistencies between the experimental data and their modeling results, as well as errors in units. Therefore, we present detailed analyses of these mistakes, hoping that this “comment” paper will also be useful to other researchers (especially beginners) to avoid finding such mistakes elsewhere in the future.

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A Critical Overview of Adsorption Models Linearization: Methodological and Statistical Inconsistencies

Cited by 63 publications

References 116 publications

Operational Constraints of Detecting SARS-CoV-2 on Passive Samplers using Electronegative Filters: A Kinetic and Equilibrium Analysis

Operational Constraints of Detecting SARS-CoV-2 on Passive Samplers using Electronegative Filters: A Kinetic and Equilibrium Analysis

Kinetic Analysis of the Adsorption of lead (II) onto Activated Carbon from Tridax procumbens

Comments on “Biosorption of nickel from aqueous solution onto Liagora viscida: Kinetics, isotherm, and thermodynamics”

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