Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite

Tanhaei, Bahareh; Esfandyari, Morteza; Ayati, Ali

doi:10.1007/s40097-016-0211-4

Cited by 20 publications

(17 citation statements)

References 38 publications

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“…It might be due the blockage of pore in CANF which decreased its surface area to the CAMF amount. Also, the BJH adsorption and desorption cumulative pore volume of CAMF were 0.003 and 0.006 higher than CANF parameters, however the BJH adsorption and desorption average pore width of CAMF was lower than CANF structure (46.815 and 41.003 Å) …”

Section: Resultsmentioning

confidence: 81%

“…Surprisingly, however the size of CAMF particles are much more than the CANF, but the BET surface area of CAMF just 0.20 m 2 g −1 lower than the CANF one . It might be due the blockage of pore in CANF which decreased its surface area to the CAMF amount.…”

Section: Resultsmentioning

confidence: 90%

“…For the synthesis of CAMF, we used the reported method in our previous study, in which 100 mg of Fe 3 O 4 microspheres were dispersed in the solution of aluminum isopropoxide in ethanol, firstly. The Al 2 O 3 /Fe 3 O 4 core‐shell spheres (AMF), were prepared by addition of a mixture of water and ethanol [1:5 (v/v)] to the suspension under vigorous magnetic stirring and washed with ethanol, several times and dried in the oven.…”

Section: Methodsmentioning

confidence: 99%

“…The experimental data were described by the widely used pseudo‐first order and pseudo‐second order models, Bangham's model equation, and Weber and Morris, which were applied to study the rate of the adsorption process and examine the possible adsorption mechanisms of MO. The linear forms of pseudo‐first‐order and pseudo‐second‐order model equations can be expressed by eqs.…”

Section: Methodsmentioning

confidence: 99%

“…It has been investigated to understand the adsorption phenomena and producing and selecting an appropriate size for a target pollutant . In our previous study, we designed a novel Chitosan/Al 2 O 3 /Fe 3 O 4 nanocomposite (CANF), as a superadsorbent for methyl orange (MO) removal . In which, the Fe 3 O 4 nanoparticles were used as magnetic cores which coated with alumina as a shell to improve their chemical stability and prevent their oxidation, especially in acidic conditions .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A magnetic mesoporous chitosan based core‐shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

Tanhaei

Ayati

Lahtinen

et al. 2016

J of Applied Polymer Sci

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In this study, Chitosan/Al2O3/Fe3O4 core‐shell composite microsphere (CAMF) was used as an effective sorbent with high adsorption capacity for the removal of anionic azo dye model from aqueous solution. The obtained composite was characterized by XRD, SEM, EDX, and BET analysis. The results showed the high methyl orange (MO) adsorption in a wide pH range of 4–10 and the optimum adsorbent dosage was obtained 0.6 g L−1. It is indicated that the equilibrium data followed the Langmuir isotherm model and the adsorption kinetic was well fitted with pseudo‐second‐order kinetic model. Also, the adsorption kinetic was controlled by the film diffusion and intra‐particle diffusion, simultaneously. It is revealed that by increasing the particle size from <0.1 μm to ∼0.4 μm, the adsorption capacity did not change, significantly. The adsorption capacity of MO on CAMF was predicted by multilayer perceptron (MLP) neural network at different initial MO concentration, in which the predictions of MLP model had very good agreement with experimental data. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 43466.

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Section: Resultsmentioning

confidence: 81%

Section: Resultsmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A magnetic mesoporous chitosan based core‐shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

Tanhaei

Ayati

Lahtinen

et al. 2016

J of Applied Polymer Sci

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Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System

Agbaogun

Alonso

Buddenbaum

et al. 2021

Journal of Chemometrics

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Sorption of pesticides by soils holds a major consequence for their fate in the environment. As such, sorption coefficient (K d /K oc), which is derived from laboratory or field experiments is a fundamental parameter used in almost all screening tools to evaluate the fate or mobility of these compounds. The value of this coefficient is controlled by many soil and solute specific properties, as well as environmental variables. Soft computing techniques such as Adaptive Neuro-Fuzzy Inference System (ANFIS) have been successfully used to predict the equilibrium partitioning of many compounds in various engineered systems. Application of these techniques to natural systems such as soils is however lacking. Here, we present the use of ANFIS in predicting the sorption per unit mass of soil, Q e , used in the calculation of K d /K oc of compounds in soils. In a previous study, we collected data associated to the adsorption of five phenylurea herbicides in 18 tropical soils. Here, we analysed such data and based on established correlations, nine variables were selected as potential input vectors (i.e., six soil properties, two herbicides molecular descriptors and initial solute concentrations). A total of 255 ANFIS models of one to eight input vectors were elaborated under 10-fold cross-validation. Multiple linear regression (MLR) models were similarly developed, and compared with the ANFIS in terms of mean absolute error (MAE), root-mean-square error (RMSE) and coefficient of determination (R 2). The best ANFIS model (M94) has an MAE test , RMSE test and R 2 test of 3.43 ± 0.43, 4.94 ± 0.80 and 0.95 ± 0.01, respectively, whereas the best MLR model (M13) returned an

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Agricultural low-cost waste adsorption of methylene blue and modelling linear isotherm method versus nonlinear prediction

Yetgin,

Amlani

2024

Clean Techn Environ Policy

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This study shows that geographically marked wheat hull, named Siyez, rice hull Sarı Kılçık, and Taşköprü Garlic stalk were used as agricultural waste to potential adsorbent materials for removing methylene blue from aqueous solution. Experimental data were evaluated in both equilibrium batch process and kinetic studies. In addition, the factors that affect the adsorption capacities, such as pH solutions, methylene blue concentration, contact time, and temperatures, were also investigated. Obtained data were subject to two constant adsorption models of Langmuir, Freundlich, Temkin, and Dubinin−Radushkevich. The kinetic models (pseudo-first-order, pseudo-second-order, intra-particle diffusion and film diffusion) and thermodynamic parameters were evaluated. The adsorption isotherms, characterized by an excellent fit with the Langmuir model (R2 = 0.99) across all adsorbents, underscore the prevalence of monolayer adsorption of methylene blue, in contrast to the Freundlich equation. Adsorption kinetics of the methylene blue onto the adsorbents followed pseudo-second-order kinetic model. According to high regression coefficient (R2) and minimal values of nonlinear error functions like RMSE; the maximum monolayer adsorption capacities of wheat hull, rice hull and garlic stalk were found to be 62.50 (mg/g), 54.94 (mg/g), and 370.37 (mg/g), respectively. The results indicated that these proposed adsorbents could be low-cost and effective adsorbents for water purification and have adsorption capacity as much as comparable with the literature. In batch equilibrium studies, the adsorption of methylene blue dye onto the wheat hull, rice hull, and garlic stalk exhibited a significant correlation with temperature, contact time, and initial concentration of methylene blue dye and Adaptive Neuro-Fuzzy Inference System algorithm for forecasting overall the system parameter well fitted with these findings with the accuracy of outputs (R2 about 0.99 for each). Consequently, the thermodynamic analysis revealed that the adsorption process takes place in bulk diffusion by liquid phase mass transfer and occurred spontaneously with endothermically except garlic stalk. Adsorption thermodynamic studies show that the adsorption of methylene blue onto the garlic stalk was spontaneous and exothermic. Graphical Abstract

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Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite

Cited by 20 publications

References 38 publications

A magnetic mesoporous chitosan based core‐shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

A magnetic mesoporous chitosan based core‐shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System

Agricultural low-cost waste adsorption of methylene blue and modelling linear isotherm method versus nonlinear prediction

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