Adsorption of ethanol onto activated carbon: Modeling and consequent interpretations based on statistical physics treatment

Bouzid, Mohamed; Sellaoui, Lotfi; Khalfaoui, Mohamed; Belmabrouk, Hafedh; Lamine, Abdelmottaleb Ben

doi:10.1016/j.physa.2015.09.097

Cited by 57 publications

(26 citation statements)

References 31 publications

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“…It may be due to physical forces or chemical covalent binding. The models may be empirical or based on statistical physics [ 37 , 38 ]. In this study, the first-order Langmuir model is employed to characterize the adsorption reaction between the antibody

fixed at the reaction surface and the suspended target analyte

.…”

Section: Device Geometry and Mathematical Formulationmentioning

confidence: 99%

Analysis of Temperature-Jump Boundary Conditions on Heat Transfer for Heterogeneous Microfluidic Immunosensors

Echouchene

Alshahrani

Belmabrouk

2021

Sensors

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The objective of the current study is to analyze numerically the effect of the temperature-jump boundary condition on heterogeneous microfluidic immunosensors under electrothermal force. A three-dimensional simulation using the finite element method on the binding reaction kinetics of C-reactive protein (CRP) was performed. The kinetic reaction rate was calculated with coupled Laplace, Navier−Stokes, energy, and mass diffusion equations. Two types of reaction surfaces were studied: one in the form of a disc surrounded by two electrodes and the other in the form of a circular ring, one electrode is located inside the ring and the other outside. The numerical results reveal that the performance of a microfluidic biosensor is enhanced by using the second design of the sensing area (circular ring) coupled with the electrothermal force. The improvement factor under the applied ac field 15 Vrms was about 1.2 for the first geometry and 3.6 for the second geometry. Furthermore, the effect of temperature jump on heat transfer rise and response time was studied. The effect of two crucial parameters, viz. Knudsen number (Kn) and thermal accommodation coefficient (σT) with and without electrothermal effect, were analyzed for the two configurations.

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fixed at the reaction surface and the suspended target analyte

.…”

Section: Device Geometry and Mathematical Formulationmentioning

confidence: 99%

Analysis of Temperature-Jump Boundary Conditions on Heat Transfer for Heterogeneous Microfluidic Immunosensors

Echouchene

Alshahrani

Belmabrouk

2021

Sensors

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“…Also, other statistical physics models wereconsidered assuming that theMB dye molecules were adsorbed via the formation of two layers with one and two different adsorptionenergies (Bouzid et al 2016). The mathematical equations of these models are given below (Bouzid et al 2016;Mohamed et al 2018;Bouzid et al 2016;Pang et al 2020):…”

Section: Statistical Physics Modelingmentioning

confidence: 99%

“…Thesethreemodelswereappliedto correlate the MB adsorption data of CdSe-MSA nanocrystals and the fitting results suggested that the monolayer adsorption model (R 2 = 0.98 -0.99 and RMSE = 1.84 -3.49) was the best to interpret the adsorption mechanism of MB dye, see Figure 9 and Table 5. Note thatthecalculation of adsorption energy via this model was performed with the next equation (Atrous et al 2019;Bouzid et al 2016;Mohamed et al 2018;Bouzid et al 2019;Pang et al 2020). (Bouzid et al 2019b)…”

Section: Statistical Physics Modelingmentioning

confidence: 99%

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Adsorption and Photocatalytic Degradation of an Industrial Azo Dye Using Colloidal Semiconductor Nanocrystals

Mohamed

Ouni

Bouzid

et al. 2021

Preprint

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In this study, mercaptosuccinic acid capped CdSe nanocrystals was successfully synthesized by in-situ medium colloid and used as photocatalyst for the effective photodegradation of methylene blue from aqueous solution under visible light and sunlight irradiations.The particle size and the crystal structure of these nanocrystals were analyzed by different analytical techniques. Dye adsorption prior to photocatalysis using these nanomaterials was studied via the experimental quantification of kinetics and isotherms. These experimental data were modeled including the application of statistical physics theory to analyze the corresponding adsorption mechanism. A maximum adsorption capacity of 27.1 mg/g (80% dye removal) was observed in 10 min using an initial concentration of 30 mg/L. Statistical physics calculations indicated that the adsorption energy was lower than 40 kJ/mol. Itwas also established that the dye adsorption was associated to the electrostatic interactions and hydrogen bonding. Overall, the dye removal was a spontaneous, feasible process and exothermic. Adsorption properties of CdSe-MSA nanocrystals improved the dye photodegradation efficiency under visible light thus achieving up to 80% degradation in 60 min. The synergic effect of adsorption and photocatalytic degradation performance was mainly due to the surface area, small size (3.7 nm) and structural defects (selenium vacancies Se, interstitial of cadmium ICd), which enhanced the response of these nanomaterials inside the visible range for the photocatalytic activity. In summary, these nanocrystals are promising materials to be used in wastewater treatment under sun light for the removal of organic compounds like dyes.

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“…Many models have been used to describe the adsorption phenomena. Some of them are empirical models whereas some others are based on statistical physics 31 , 32 . In this work, we will use the first order Langmuir adsorption model 15 , 22 , 33 .…”

Section: Theoretical Formulationmentioning

confidence: 99%

Optimization of microfluidic biosensor efficiency by means of fluid flow engineering

Selmi

Gazzah

Belmabrouk

2017

Sci Rep

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Binding reaction kinetics of analyte-ligand at the level of a sensitive membrane into a microchannel of a biosensor has been limited by the formation of the boundary diffusion layer. Therefore, the response time increases and affects the overall performance of a biosensor. In the present work, we develop an approach to engineer fluid streams into a complex configuration in order to improve the binding efficiency. We investigate numerically the flow deformations around a parallelepiped with square cross-section inside the microfluidic channel and exploit these deformations to simulate the analyte transport to the sensitive membrane and enhance both association and dissociation processes. The effect of several parameters on the binding reaction is provided such as: the obstacle location from the inlet of the microchannel, the average flow velocity, and the inlet analyte concentration. The optimal position of the obstacle is determined. An appropriate choice of the inlet flow velocity and inlet analyte concentration may reduce significantly the response time.

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Adsorption of ethanol onto activated carbon: Modeling and consequent interpretations based on statistical physics treatment

Cited by 57 publications

References 31 publications

Analysis of Temperature-Jump Boundary Conditions on Heat Transfer for Heterogeneous Microfluidic Immunosensors

Analysis of Temperature-Jump Boundary Conditions on Heat Transfer for Heterogeneous Microfluidic Immunosensors

Adsorption and Photocatalytic Degradation of an Industrial Azo Dye Using Colloidal Semiconductor Nanocrystals

Optimization of microfluidic biosensor efficiency by means of fluid flow engineering

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