Guidelines for the use and interpretation of adsorption isotherm models: A review

[Display omitted] •Adsorption data modelling is an essential way of predicting adsorption mechanisms.•It discusses the guidelines of using mono/multi-parametric isotherm models.•It establishes criteria for choosing the optimum isotherm model.•Ten multi-parameter isotherm models and their application...

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Published in	Journal of hazardous materials Vol. 393; p. 122383
Main Authors	Al-Ghouti, Mohammad A., Da'ana, Dana A.
Format	Journal Article
Language	English
Published	Netherlands Elsevier B.V 05.07.2020
Subjects	adsorbents adsorption Adsorption isotherm interpretation Adsorption isotherm models Adsorption mechanisms chemical bonding guidelines Linear and nonlinear isotherm models prediction purification methods regression analysis sorption isotherms temperature ATS Ce NAV HNH KLF K D-R MLF qSH KHE aK Cs-BET nMJ PFB aR aS aT qe MB LBL OMSR Ciex nH MG Foc qm Asurf Adsorption isotherm interpretation qs σsurf rxn MO AC CAC bK qm-BET MMJ Ciw, neut RODP bT αFS FA ANL FE qMLF Cirxn C K1, K2 σ E PHC K NZ bo σsurf ex AR 18 νm CBET Q SD R T X KD KFS KF Adsorption isotherm models Adsorption mechanisms KH qmFS βS KL OP b g KR KS Ciw, ion Cimin CR βFS SCB Cioc Linear and nonlinear isotherm models
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Abstract	[Display omitted] •Adsorption data modelling is an essential way of predicting adsorption mechanisms.•It discusses the guidelines of using mono/multi-parametric isotherm models.•It establishes criteria for choosing the optimum isotherm model.•Ten multi-parameter isotherm models and their applications were reviewed.•Linear and nonlinear regression equations were used to determine best-fit model. Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (Kid). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications.
AbstractList	Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (K ). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications. Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (Kᵢd). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications. Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (Kid). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications.Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (Kid). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications. [Display omitted] •Adsorption data modelling is an essential way of predicting adsorption mechanisms.•It discusses the guidelines of using mono/multi-parametric isotherm models.•It establishes criteria for choosing the optimum isotherm model.•Ten multi-parameter isotherm models and their applications were reviewed.•Linear and nonlinear regression equations were used to determine best-fit model. Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or chemical bonds between a porous solid medium and a mixture of liquid or gas multi-component fluid. By taking into consideration the equilibrium data and the adsorption properties of both the adsorbent and the adsorbate, adsorption isotherm models can describe the interaction mechanisms between the adsorbent and the adsorbate at constant temperature. Therefore, understanding modelling of the equilibrium data is a very essential way of predicting the adsorption mechanisms of various adsorption systems. Furthermore, adsorption isotherms in batch experiments can be used for the determination of the solid-water distribution coefficient (Kid). This review paper discusses the guidelines of using mono/multi-parametric isotherm models with different applications. The aim of this paper is to establish criteria for choosing the optimum isotherm model through a critical review of different adsorption models and the use of various mathematically error functions such as linear regression analysis, nonlinear regression analysis, and error functions for adsorption data optimization. In this paper, 15 mono-parametric adsorption isotherm models having one, two, three, four and five parameters were investigated. In addition, 10 multi-parameter isotherm models were reviewed as well as addressing their applications.
ArticleNumber	122383
Author	Al-Ghouti, Mohammad A. Da'ana, Dana A.
Author_xml	– sequence: 1 givenname: Mohammad A. surname: Al-Ghouti fullname: Al-Ghouti, Mohammad A. email: mohammad.alghouti@qu.edu.qa – sequence: 2 givenname: Dana A. surname: Da'ana fullname: Da'ana, Dana A.
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/32369889$$D View this record in MEDLINE/PubMed
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Keywords	ATS Ce NAV HNH KLF K D-R MLF qSH KHE aK Cs-BET nMJ PFB aR aS aT qe MB LBL OMSR Ciex nH MG Foc qm Asurf Adsorption isotherm interpretation qs σsurf rxn MO AC CAC bK qm-BET MMJ Ciw, neut RODP bT αFS FA ANL FE qMLF Cirxn C K1, K2 σ E PHC K NZ bo σsurf ex AR 18 νm CBET Q SD R T X KD KFS KF Adsorption isotherm models Adsorption mechanisms KH qmFS βS KL OP b g KR KS Ciw, ion Cimin CR βFS SCB Cioc Linear and nonlinear isotherm models
Language	English
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Snippet	[Display omitted] •Adsorption data modelling is an essential way of predicting adsorption mechanisms.•It discusses the guidelines of using... Adsorption process is considered as one of the most used separation and purification processes, in which adsorption occurs by the formation of the physical or...
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SubjectTerms	adsorbents adsorption Adsorption isotherm interpretation Adsorption isotherm models Adsorption mechanisms chemical bonding guidelines Linear and nonlinear isotherm models prediction purification methods regression analysis sorption isotherms temperature
Title	Guidelines for the use and interpretation of adsorption isotherm models: A review
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