DYE REMOVAL FROM AQUEOUS SOLUTION BY ELECTROCOAGULATION PROCESS USING STAINLESS STEEL ELECTRODES

2010 ◽  
Vol 9 (8) ◽  
pp. 1031-1037 ◽  
Author(s):  
Rangasamy Gayathri ◽  
Ponnusamy SenthilKumar ◽  
Neduvelannal Umaiyambika
2016 ◽  
Vol 19 ◽  
pp. 681-686 ◽  
Author(s):  
Mohd Khairul Nizam Mahmad ◽  
M.A.Z. Mohd Remy Rozainy ◽  
Ismail Abustan ◽  
Norlia Baharun

2014 ◽  
Vol 2 (2) ◽  
pp. 1-9 ◽  
Author(s):  
Mansooreh Dehghani ◽  
Razieh Shabestari ◽  
Amir Anushiravani ◽  
Narges Shamsedini ◽  
◽  
...  

2020 ◽  
Vol 10 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Fatima Ezzahra Titchou ◽  
Hanane Afanga ◽  
Hicham Zazou ◽  
Rachid Ait Akbour ◽  
Mohamed Hamdani

Like other developing countries, Morocco has undergone a real industrial revolution that generates a huge amount of colored wastewater. Methylene blue (MB) could be considered as commonly model of cationic dyes that are widely used in industries. In the present work, the removal of MB was investigated in the presence of NaCl as electrolyte by electrocoagulation (EC) process. Parameters studied are the nature of electrodes, electrode spacing, initial dye concentration, agitation speed, applied current density, NaCl concentration, and the effect of the initial pH. Stainless steel electrodes have been used as cathode and anode in the electrochemical cell. The performance of the process was evaluated in terms of color removal, chemical oxygen demand (COD), total organic carbon (TOC), electrical power consumption, current efficiency, and the quantity of sludge formed. The results showed that the removal percent of 20 mg/L MB is 100 %, using stainless steel electrodes with an interspace of 1.5 cm and 20 mA/cm² for 6 min in the presence of 0.1 M NaCl at natural pH. COD and TOC removals within 15 min were 45% and 51% respectively. The power consumption, in that case, was 5.84 KWh/m3, while the amount of sludge formed was 1.64 Kg/m3.


2016 ◽  
Vol 81 (8) ◽  
pp. 959-970 ◽  
Author(s):  
Ha Manh

This study presents an application of artificial neural networks (ANNs) to predict the dye removal efficiency (color and chemical oxygen demand value) of Electrocoagulation process from Sunfix Red S3B aqueous solution. The Bayesian regulation algorithm was applied to train the networks with experimental data including five factors: pH, current density, sulphate concentration, initial dye concentration (IDC), and electrolysis time. The predicting performance of the ANN models was validated through the low root mean square error value (9.844 %), mean absolute percentage error (13.776 %) and the high determination coefficient value (0.836). Garson, Connection weight method and neural interpretation diagram were also used to study the influence of input variables on dye removal efficiency. For decolorization, the most effective inputs are determined as current density, electrolysis time and initial pH, while COD removal is found to be strongly affected by initial dye concentration and sulphate concentration. Through these steps, we demonstrated ANN?s robustness in modeling and analysis of electrocoagulation process.


2020 ◽  
Vol 16 ◽  
Author(s):  
Reda M. El-Shishtawy ◽  
Abdullah M. Asiri ◽  
Nahed S. E. Ahmed

Background: Color effluents generated from the production industry of dyes and pigments and their use in different applications such as textile, paper, leather tanning, and food industries, are high in color and contaminants that damage the aquatic life. It is estimated that about 105 of various commercial dyes and pigments amounted to 7×105 tons are produced annually worldwide. Ultimately, about 10–15% is wasted into the effluents of the textile industry. Chitin is abundant in nature, and it is a linear biopolymer containing acetamido and hydroxyl groups amenable to render it atmospheric by introducing amino and carboxyl groups, hence able to remove different classes of toxic organic dyes from colored effluents. Methods: Chitin was chemically modified to render it amphoteric via the introduction of carboxyl and amino groups. The amphoteric chitin has been fully characterized by FTIR, TGA-DTG, elemental analysis, SEM, and point of zero charge. Adsorption optimization for both anionic and cationic dyes was made by batch adsorption method, and the conditions obtained were used for studying the kinetics and thermodynamics of adsorption. Results: The results of dye removal proved that the adsorbent was proven effective in removing both anionic and cationic dyes (Acid Red 1 and methylene blue (MB)), at their respective optimum pHs (2 for acid and 8 for cationic dye). The equilibrium isotherm at room temperature fitted the Freundlich model for MB, and the maximum adsorption capacity was 98.2 mg/g using 50 mg/l of MB, whereas the equilibrium isotherm fitted the Freundlich and Langmuir model for AR1 and the maximum adsorption capacity was 128.2 mg/g. Kinetic results indicate that the adsorption is a two-step diffusion process for both dyes as indicated by the values of the initial adsorption factor (Ri) and follows the pseudo-second-order kinetics. Also, thermodynamic calculations suggest that the adsorption of AR1 on the amphoteric chitin is an endothermic process from 294 to 303 K. The result indicated that the mechanism of adsorption is chemisorption via an ion-exchange process. Also, recycling of the adsorbent was easy, and its reuse for dye removal was effective. Conclusion: New amphoteric chitin has been successfully synthesized and characterized. This resin material, which contains amino and carboxyl groups, is novel as such chemical modification of chitin hasn’t been reported. The amphoteric chitin has proven effective in decolorizing aqueous solution from anionic and cationic dyes. The adsorption behavior of amphoteric chitin is believed to follow chemical adsorption with an ion-exchange process. The recycling process for few cycles indicated that the loaded adsorbent could be regenerated by simple treatment and retested for removing anionic and cationic dyes without any loss in the adsorbability. Therefore, the study introduces a new and easy approach for the development of amphoteric adsorbent for application in the removal of different dyes from aqueous solutions.


2021 ◽  
Vol 765 (1) ◽  
pp. 012089
Author(s):  
R Taufik ◽  
M Mohamad ◽  
R Wannahari ◽  
N F Shoparwe ◽  
WHW Osman ◽  
...  

1999 ◽  
Vol 23 (1) ◽  
pp. 38-39
Author(s):  
N. Bellakhal ◽  
K. Draou ◽  
J. L. Brisset

Exposure of a 304 stainless steel sample to an inductively coupled low pressure radio frequency (RF) nitrogen plasma leads to the formation of a nitriding layer. The protective properties of this layer are investigated by electrochemical methods. The corrosion potential of the steel in an aqueous solution depends on the working parameters of the plasma such as the time exposure and the distance between the steel sample and the high voltage (HV) coil of the treatment reactor.


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