Pervaporative dehydration of ethanol/water mixture through hybrid alginate membranes with ferroferic oxide nanoparticles

Dudek, Gabriela; Turczyn, Roman; Gnus, Małgorzata; Konieczny, Krystyna

doi:10.1016/j.seppur.2017.09.023

Cited by 36 publications

(40 citation statements)

References 32 publications

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“…Recent works have focused on membrane loading with the addition of magnetic nanoparticles in order to increase the water diffusivity within the membrane, while keeping a constant (or even decreasing) ethanol diffusivity. 58,59 The pervaporative membrane performance depends on (i) the transport properties and (ii) the separation ef fectiveness. The transport properties are measured with regard to the flux (J N , in kg m −2 h −1 ), the permeation coefficient of each species (ethanol and water here, P water and P EtOH measured in barrer), the diffusion coefficients (D water and D EtOH in cm 2 s −1 ), the solubilities (S water and S EtOH in cm sccm 3 cm −3 cmHg −1 ), and the selectivity coefficient (S c ).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Tuning the Magnetism of Plasma-Synthesized Iron Nitride Nanoparticles: Application in Pervaporative Membranes

Haye

Chang

Dudek

et al. 2019

ACS Appl. Nano Mater.

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The present work reports on the low-pressure, radio-frequency, plasma-driven synthesis of ε-Fe 3 N-type nanoparticles homogeneously deposited on a high-surface-area porous carbon support, with tunable magnetic properties, directly depending on the plasma treatment conditions. Iron nanoparticles are formed from the degradation of a solid organometallic precursor mixed with a carbon xerogel in a nitrogen-containing (argon/ammonia) plasma discharge. Variation of the working pressure during the plasma treatment directly affects the residence time of the reactive species, which determines the crystalline state of the nanoparticles, from amorphous at low-pressure treatment to well crystallized at high-pressure treatment. This results in a direct influence of the magnetic properties of the iron nitride nanoparticles. The working pressure results in two competing effects because it enhances the crystallinity (at higher pressure) and also slightly affects the surface chemistry of the nanoparticles by increasing the oxygen content, while the last is believed to deteriorate the magnetic properties; however, the crystallinity enhancement dominates. The synthesized Fe x N/C XG magnetic composites have been applied as filler materials in alginate membranes for ethanol dehydration in a pervaporation experiment. Results indicate a considerably enhanced performance of the alginate membrane as determined by its selectivity, the separation index, and the flux even when using a small Fe x N/C XG loading (3% w/w).

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Section: ■ Results and Discussionmentioning

confidence: 99%

Tuning the Magnetism of Plasma-Synthesized Iron Nitride Nanoparticles: Application in Pervaporative Membranes

Haye

Chang

Dudek

et al. 2019

ACS Appl. Nano Mater.

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“…This phenomenon can be explained because the membranes investigated in this manuscript contain organic filler which is compatible and easily dispersed in the polymer matrix. In our previous work [31][32][33], we have considered membranes with inorganic fillers. The results obtained now for hybrid membranes with organic filler are not in line with those of previous studies of organic/inorganic hybrid membranes.…”

Section: Structure Analysismentioning

confidence: 99%

Characterization of the Structure and Transport Properties of Alginate/Chitosan Microparticle Membranes Utilized in the Pervaporative Dehydration of Ethanol

et al. 2020

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The structure and transport properties of alginate/chitosan microparticle membranes used in ethanol dehydration processes were investigated. The membranes were characterized based on images obtained from high-resolution microscopy. The following parameters were determined: the observed total amount of void space, the average size of the void domains, their length and diameter, the fractal dimension, and the generalized stochastic fractal parameters. The total amount of void space was determined to be between 54% and 64%. The average size of the void domains is smaller for alginate membranes containing neat (CS) and phosphorylated (CS-P) chitosan particles when compared to those membranes filled with glycidol-modified (CS-G) and glutaraldehyde crosslinked (CS-GA) chitosan particles. Furthermore, the transport of ethanol and water particles through the studied membranes was modelled using a random walk framework. It was observed that the results from the theoretical and experimental studies are directly correlated. The smallest values of water to ethanol diffusion coefficient ratios (i.e., 14) were obtained for Alg (sodium alginate) membranes loaded with the CS and CS-P particles, respectively. Significantly larger values (27 and 19) were noted for membranes filled with CS-G and CS-GA particles, respectively. The simulation results show that the size of channels which develop in the alginate matrix is less suited for ethanol molecules compared to water molecules because of their larger size. Such a situation facilitates the separation of water from ethanol. The comparison of the structural analysis of the membranes and random walk simulations allows one to understand the factors that influence the transport phenomena, in the studied membranes, and comment on the effect of the length, diameter, number of channels, and variations in the pore diameters on these transport parameters.Polymers 2020, 12, 411 2 of 17 Current research in the pervaporation field is focused on the development of new membrane materials and optimization of the pervaporation process parameters. To advance in both areas, it is necessary to characterize the membrane structure and understand the mass transport processes that are involved in the pervaporation process. One of the methods to study the structure and morphology of the membranes is the fractal analysis. Using the fractal dimension D F and the generalized fractal dimension Dq, it is possible to quantify the structure and morphology of self-similar objects. In our previous work [7], we have shown that there is a strong relationship between the degree of multifractality ∆D and the separation efficiency. Comparing the trends in the changes of the Pervaporation Separation Index (PSI) and the corresponding ∆D values, we have noted, that the maximum PSI was always reached for the lowest values of ∆D. The lower value of ∆D is related to a more homogeneous and self-similar membrane structure. In order to predict the membrane's performance and to design membranes for specific applications, a funda...

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“…This is due to specific intermolecular interactions that occur between the molecules of alcohol and water. The thermodynamic conditions of interphase equilibrium (vapor-liquid, liquid-liquid), as well as molecular transport coefficients, are important for the analysis of industrial processes related to water-alcohol solutions separation, such as distillation, membrane processes [1][2][3][4], etc. Currently, molecular simulation methods (molecular dynamics, Monte Carlo) are widely used to obtain these data.…”

Section: Introductionmentioning

confidence: 99%

Diffusion in Binary Aqueous Solutions of Alcohols by Molecular Simulation

Klinov

Анашкин

2019

Processes

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Based on the molecular dynamics method, the calculations for diffusion coefficients were carried out in binary aqueous solutions of three alcohols: ethanol, isopropanol, and tert-butanol. The intermolecular potential TIP4P/2005 was used for water; and five force fields were analyzed for the alcohols. The force fields providing the best accuracy of calculation were identified based on a comparison of the calculated self-diffusion coefficients of pure alcohols with the experimental data for internal (Einstein) diffusion coefficients of alcohols in solutions. The temperature and concentration dependences of the interdiffusion coefficients were determined using Darken’s Equation. Transport (Fickian) diffusion coefficients were calculated using a thermodynamic factor determined by the non-random two-liquid (NRTL) and Willson models. It was demonstrated that for adequate reproduction of the experimental data when calculating the transport diffusion coefficients, the thermodynamic factor has to be 0.64. Simple approximations were obtained, providing satisfactory accuracy in calculating the concentration and temperature dependences of the transport diffusion coefficients in the studied mixtures.

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Pervaporative dehydration of ethanol/water mixture through hybrid alginate membranes with ferroferic oxide nanoparticles

Cited by 36 publications

References 32 publications

Tuning the Magnetism of Plasma-Synthesized Iron Nitride Nanoparticles: Application in Pervaporative Membranes

Tuning the Magnetism of Plasma-Synthesized Iron Nitride Nanoparticles: Application in Pervaporative Membranes

Characterization of the Structure and Transport Properties of Alginate/Chitosan Microparticle Membranes Utilized in the Pervaporative Dehydration of Ethanol

Diffusion in Binary Aqueous Solutions of Alcohols by Molecular Simulation

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