scholarly journals Removal of Fluoride in Water with Mexican Natural Zeolite

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1470 ◽  
Author(s):  
Javier Sampedro-Duran ◽  
Miguel Torres-Rodríguez ◽  
Mirella Gutiérrez-Arzaluz ◽  
Violeta Mugica-Álvarez
Keyword(s):  
Adsorption Process ◽  
Fixed Bed ◽  
Fluoride Removal ◽  
Surface Chemical ◽  
Fluoride Ions ◽  
Fixed Bed Column ◽  
Surface Chemical Composition ◽  
Column System ◽  
Eds Analysis ◽  
Ftir Characterization

This work presents the results of the fluoride removal in water, through an adsorption process with the use of a natural Mexican zeolite conditioned with calcium, manganese or iron in a fixed bed column system. The XRD and FTIR characterization results demonstrated that the conditioning modifies the surface chemical composition of the zeolite and the SEM/EDS analysis corroborates the increase of the exchanged ions. The conditioning of the zeolite generated an increase in the adsorption capacity of fluorine, the best percentage of removal obtained from fluoride ions was 98%, for a water with a concentration of 10 mg·L−1 with the conditioned zeolite with iron.

scholarly journals Biosorption of Fluoride from Synthetic and Ground Water Using Chlorella vulgaris Immobilized in Calcium Alginate Beads in an Upflow Packed Bed Column

2017 ◽  
Vol 61 (3) ◽  
pp. 188 ◽  
Author(s):  
Poornima G. Hiremath ◽  
Thomas Theodore
Keyword(s):  
Experimental Data ◽  
Ground Water ◽  
Chlorella Vulgaris ◽  
Water Samples ◽  
Packed Column ◽  
Fluoride Concentration ◽  
Fixed Bed ◽  
Fluoride Removal ◽  
Fluoride Ions ◽  
Fluoride Adsorption

The potential of immobilized Chlorella vulgaris to remove fluoride from synthetic and real ground water samples in a fixed bed was investigated. The effect of important kinetic parameters including column bed height, feed flow rate and influent fluoride concentration of solution on fluoride removal was studied. Thomas, Yoon-Nelson, and BDST models were used to analyze the experimental data and understand the influence on biosorption performance. The models’ predictions were in good agreement with the experimental data for all the process parameters studied, indicating that the models were suitable for fixed-bed column design. Fluoride adsorption was reversible. Desorption of fluoride ions was accomplished by pumping 0.1 N HCl solution. The reusability of adsorbent was studied by subjecting column to repeated cycles of fluoride adsorption and desorption. The suitability of immobilized C. vulgaris adsorbent for fluoride removal from ground water samples of Pavagada taluk, Tumakuru district was studied in the packed column.

scholarly journals Novel Lanthanum Doped Magnetic Teff Straw Biochar Nanocomposite and Optimization Its Efficacy of Defluoridation of Groundwater Using RSM: A Case Study of Hawassa City, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Temesgen Abeto Amibo ◽  
Surafel Mustafa Beyan ◽  
Tsegaye Markos Damite
Keyword(s):  
Rotational Speed ◽  
Ligand Exchange ◽  
Contact Time ◽  
Adsorption Process ◽  
Quadratic Model ◽  
Fluoride Removal ◽  
Fluoride Ions ◽  
Removal Capacity ◽  
Mathematical Process

The problem extent of the large concentration of fluoride ions in drinking water is still a central health issue. In the present study, lanthanum doped magnetic Teff straw biochar (LDMTSB) was developed as a novel adsorbent for removing fluoride ions in the groundwater in Rift-Valley regions, especially Hawassa city, Ethiopia. The synthesized LDMTBC was characterized via FTIR, XRD, SEM, and BET. And, this analysis proposed that multiadsorption techniques such as ligand exchange, precipitations, and electrostatic interaction could be evinced throughout the fluoride ions adsorption process by LDMTSB. The constraints that influence the adsorption efficacy, namely, a dosage of LDMTSB, contact time, pH of the solution, and rotational speed, were analyzed and optimized using the response surface methodology approach. Under the optimum situations, LDMTSB dosage: 3.97 g, contact time: 56.36 min, rotational speed: 591.19 rpm, and pH: 3.968 demonstrate high efficacy of LDMTSB with 98.89% fluoride removal capacity. Further, the quadratic model (R2 = 0.9841) was designated for governing the mathematical process. The LDMTSB was successful in the removal of fluoride ions in the groundwater. This study provides a valuable economical solution for the application of Teff straw.

scholarly journals Sorption of Ag+ and Cu2+ by Vermiculite in a Fixed-Bed Column: Design, Process Optimization and Dynamics Investigations

2018 ◽  
Vol 8 (11) ◽  
pp. 2221 ◽  
Author(s):  
Olga Długosz ◽  
Marcin Banach
Keyword(s):  
Flow Rate ◽  
Continuous Process ◽  
Fixed Bed ◽  
Copper Ion ◽  
Cost Effective ◽  
Breakthrough Curves ◽  
Fixed Bed Column ◽  
Column System ◽  
Total Percentage ◽  
Bed Height

Vermiculite has been used for the removal of Cu 2 + and Ag + from aqueous solutions in a fixed-bed column system. The effects of initial silver and copper ion concentrations, flow rate, and bed height of the adsorbent in a fixed-bed column system were investigated. Statistical analysis confirmed that breakthrough curves depended on all three factors. The highest inlet metal cation concentration (5000 mg/dm3), the lowest bed height (3 cm) and the lowest flow rate (2 and 3 cm3/min for Ag + and Cu 2 + , respectively) were optimal for the adsorption process. The maximum total percentage of metal ions removed was 60.4% and 68.7% for Ag+ and Cu2+, respectively. Adsorption data were fitted with four fixed-bed adsorption models, namely Clark, Bohart–Adams, Yoon–Nelson and Thomas models, to predict breakthrough curves and to determine the characteristic column parameters. The adsorbent was characterized by SEM, FTIR, EDS and BET techniques. The results showed that vermiculite could be applied as a cost-effective sorbent for the removal of Cu 2 + and Ag + from wastewater in a continuous process.

scholarly journals Modeling of milk lactose removal by column adsorption using artificial neural networks: MLP and RBF

2019 ◽  
Vol 25 (4) ◽  
pp. 369-382
Author(s):  
Manuela Leite ◽  
Matheus Santos ◽  
Eulina Costa ◽  
Acenini Balieiro ◽  
Álvaro Lima ◽  
...  
Keyword(s):  
Adsorption Process ◽  
Radial Basis Function Network ◽  
Fixed Bed ◽  
Computational Time ◽  
Multilayer Perceptrons ◽  
Neural Models ◽  
Fixed Bed Column ◽  
Column Adsorption ◽  
Ann Models ◽  
Artificial Neural

Artificial neural network (ANN) techniques are effective in modeling nonlinear processes, are simple to implement and require low computational time. In this work, the lactose adsorption process for continuous flow in a fixed-bed column with a molecularly imprinted polymer (MIP) adsorbent was modeled using an ANN technique. The neural models allowed predicting the relative lactose concentration (C/C0) from the interactions between the variables of contact time (min), temperature (?C), granulometry (mesh), bed height (cm) and flow rate (mL min-1). The ANN models were developed in MATLAB using multilayer perceptrons (MLP) and a radial basis function network (RBF). The MLP model was developed using a three-layer feed forward backpropagation network with 5, 8 and 4 neurons in the first, second and third layer, respectively. The function (RBF) network is also proposed and its performance is compared to a traditional network type. The best architecture configuration RBF model was developed using 5, 14 and 1 neurons in the first, second and third layer, respectively. The proposal of development of mathematical models applied to multi-component adsorption system for milk using these approaches is innovative. The resulting breakthrough curve models for lactose adsorption were in good agreement with the experimental results. Performance indices, such as R?, MSE, RMSE, SSE, MAE and RME were used to evaluate the reliabilities and accuracies of the models. A comparison between the ANN models shows the ability to predict the breakthrough curves of lactose removal in the milk adsorption process. Though, the MLP network model shows more accurately a higher correlation coefficient (R2 = 0.9751) and lower values for the obtained error indices. The accuracy of the model is confirmed by the comparison between the predicted and experimental data. The results showed that both neural models efficiently described the non-linear process of lactose adsorption in a fixed-bed column.

scholarly journals FIXED-BED ADSORPTION OF AQUEOUS VANILLIN ONTO RESIN H103

2017 ◽  
Vol 18 (2) ◽  
pp. 94-104
Author(s):  
Rozaimi Abu Samah
Keyword(s):  
Aqueous Solution ◽  
Flow Rate ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Maximum Adsorption Capacity ◽  
Feed Flow Rate ◽  
Fixed Bed Column ◽  
Initial Concentration ◽  
Bed Height ◽  
Fixed Bed Adsorption

The main objective of this work was to design and model fixed bed adsorption column for the adsorption of vanillin from aqueous solution. Three parameters were evaluated for identifying the performance of vanillin adsorption in fixed-bed mode, which were bed height, vanillin initial concentration, and feed flow rate. The maximum adsorption capacity was increased more than threefold to 314.96 mg vanillin/g resin when the bed height was increased from 5 cm to 15 cm. Bohart-Adams model and Belter equation were used for designing fixed-bed column and predicting the performance of the adsorption process. A high value of determination coefficient (R2) of 0.9672 was obtained for the modelling of vanillin adsorption onto resin H103.

Fluoride removal using simple protonated and xanthate modified protonated Ficus religiosa branch powder in a fixed-bed column

2019 ◽  
Vol 150 ◽  
pp. 204-212
Author(s):  
Madiha Tariq ◽  
Umar Farooq ◽  
Makshoof Athar ◽  
M. Salman ◽  
Muqaddas Tariq ◽  
...  
Keyword(s):  
Fixed Bed ◽  
Fluoride Removal ◽  
Ficus Religiosa ◽  
Fixed Bed Column
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