Experimental and modeling study on adsorption of emerging contaminants onto hyper-crosslinked cellulose

Benosmane, Sarra; Bendjelloul, Meriem; Elandaloussi, El Hadj; Touhami, Moufida; Ménorval, Louis-Charles de

doi:10.1007/s11696-021-01637-4

Cited by 8 publications

(4 citation statements)

References 50 publications

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“…This linearization approach has also been extended to Sshaped isotherm data. For instance, in the study conducted by Benosmane et al [20], linear forms of the FFG and HDB models were fitted to the S-shaped isotherms representing the adsorption of paracetamol and niflumic acid on a hyper-crosslinked cellulosic adsorbent.…”

Section: Data Fitting Using Linear and Nonlinear Regression Methodsmentioning

confidence: 99%

“…( 6) and ( 7), requires prior knowledge of qm. The methodology used for estimating qm prior to performing the linear fits reported in the study by Benosmane et al [20] remains unclear.…”

Section: Data Fitting Using Linear and Nonlinear Regression Methodsmentioning

confidence: 99%

“…Apart from interpreting hyperbolic isotherms, the FFG and HDB models are also capable of capturing Sshaped or type V isotherms [17]. In recent studies investigating water contaminant adsorption [18][19][20], the FFG and HDB models were evaluated using S-shaped isotherm data. However, a comprehensive comparison between these two models has not been reported.…”

Section: Introductionmentioning

confidence: 99%

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S-shaped adsorption isotherms modeled by the Frumkin–Fowler–Guggenheim and Hill–de Boer equations

Chu,

Hashim,

Tran

et al. 2023

Monatsh Chem

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In this study, we used the Frumkin-Fowler-Guggenheim (FFG) and Hill-de Boer (HDB) isotherm models to describe previously published S-shaped isotherms involving water contaminant adsorption, specifically auramine-O and ortho-nitrophenol, onto solid materials.Although the two models differ in their mathematical formulations, they share three key parameters: the monolayer adsorption capacity (qm), the equilibrium constant representing adsorbate-adsorbent interactions, and the equilibrium constant representing adsorbateadsorbate interactions. Upon comparing the data fitting capabilities of the FFG and HDB models, we found minimal differences. However, substantial discrepancies emerged in the fitted qm values. The FFG model yielded qm values that aligned with the plateaus evident in the auramine-O and ortho-nitrophenol isotherms, whereas the HDB model did not. This inconsistency in the HDB model was also observed when analyzing a hyperbolic tetracycline isotherm. Additionally, we delved into the impact of the adsorbate-adsorbent and adsorbateadsorbate interaction constants on simulated isotherm curves. Our findings revealed that the adsorbate-adsorbent interaction constant influenced the steepness of the simulated curves, while the adsorbate-adsorbate interaction constant determined the nature of isotherm curve generated by the two models (S-shaped or hyperbolic).

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Section: Data Fitting Using Linear and Nonlinear Regression Methodsmentioning

confidence: 99%

“…( 6) and ( 7), requires prior knowledge of qm. The methodology used for estimating qm prior to performing the linear fits reported in the study by Benosmane et al [20] remains unclear.…”

Section: Data Fitting Using Linear and Nonlinear Regression Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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S-shaped adsorption isotherms modeled by the Frumkin–Fowler–Guggenheim and Hill–de Boer equations

Chu,

Hashim,

Tran

et al. 2023

Monatsh Chem

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“…Due to their extensive use and uncontrolled release, pharmaceuticals are among the most critical contaminants of Membranes 2022, 12, 849 2 of 15 emerging concern (CEC) for water. Their presence in aqueous effluents is detected at concentrations from ng/L to mg/L, representing a detrimental impact on aquatic ecosystems and humans [2].…”

Section: Introductionmentioning

confidence: 99%

Solar Photocatalytic Membranes: An Experimental and Artificial Neural Network Modeling Approach for Niflumic Acid Degradation

et al. 2022

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The presence of contaminants of emerging concern (CEC), such as pharmaceuticals, in water sources is one of the main concerns nowadays due to their hazardous properties causing severe effects on human health and ecosystem biodiversity. Niflumic acid (NFA) is a widely used anti-inflammatory drug, and it is known for its non-biodegradability and resistance to chemical and biological degradation processes. In this work, a 10 wt.% TiO2/PVDF–TrFE nanocomposite membrane (NCM) was prepared by the solvent casting technique, fully characterized, and implemented on an up-scaled photocatalytic membrane reactor (PMR). The photocatalytic activity of the NCM was evaluated on NFA degradation under different experimental conditions, including NFA concentration, pH of the media, irradiation time and intensity. The NCM demonstrated a remarkable photocatalytic efficiency on NFA degradation, as efficiency of 91% was achieved after 6 h under solar irradiation at neutral pH. The NCM proved effective in long-term use, with maximum efficiency losses of 7%. An artificial neural network (ANN) model was designed to model NFA’s photocatalytic degradation behavior, demonstrating a good agreement between experimental and predicted data, with an R2 of 0.98. The relative significance of each experimental condition was evaluated, and the irradiation time proved to be the most significant parameter affecting the NFA degradation efficiency. The designed ANN model provides a reliable framework l for modeling the photocatalytic activity of TiO2/PVDF-TrFE and related NCM.

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Activated sawdust as a sustainable solution for mercury removal in contaminated waters

Bouzid,

Driouch,

Aguedal

et al. 2024

Reac Kinet Mech Cat

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Experimental and modeling study on adsorption of emerging contaminants onto hyper-crosslinked cellulose

Cited by 8 publications

References 50 publications

S-shaped adsorption isotherms modeled by the Frumkin–Fowler–Guggenheim and Hill–de Boer equations

S-shaped adsorption isotherms modeled by the Frumkin–Fowler–Guggenheim and Hill–de Boer equations

Solar Photocatalytic Membranes: An Experimental and Artificial Neural Network Modeling Approach for Niflumic Acid Degradation

Activated sawdust as a sustainable solution for mercury removal in contaminated waters

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