Literature DB >> 12540091

Electroadsorption of acilan blau dye from textile effluents by using activated carbon-perlite mixtures.

A S Koparal1, Y Yavuz, U Bakir Ogütveren.   

Abstract

The feasibility of the removal of dye stuffs from textile effluents by electroadsorption has been investigated. An activated carbon-perlite mixture with a ratio of 8:1 for bipolarity has been used as the adsorbent. Conventional adsorption experiments have also been conducted for comparison. A bipolar trickle reactor has been used in the electroadsorption experiments. The model wastewater has been prepared by using acilan blau dye. Initial dye concentration, bed height between the electrodes, applied potential, flowrate, and the supporting electrolyte concentration have been examined as the parameters affecting the removal efficiency. A local textile plant effluent has been treated in the optimum values of these parameters obtained from the experimental studies. Adsorption kinetics and the amount of adsorbent required to reach the maximum removal efficiency have also been investigated and mass-transfer coefficients have been calculated for adsorption and electroadsorption. The results showed that a removal efficiency of up to 100% can be achieved with energy consumption values of 1.58 kWh/m3 of wastewater treated. However, energy consumption decreases to 0.09 kWh/m3 if an exit dye concentration of 4.65 mg/L is accepted. It can be concluded from this work that this method combines all of the advantages of the activated-carbon adsorption and electrolytic methods for the removal of dyes from wastewater.

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Year:  2002        PMID: 12540091     DOI: 10.2175/106143002x140314

Source DB:  PubMed          Journal:  Water Environ Res        ISSN: 1061-4303            Impact factor:   1.946


  1 in total

1.  Treatment of Basic Red 29 dye solution using iron-aluminum electrode pairs by electrocoagulation and electro-Fenton methods.

Authors:  Yusuf Yavuz; Reza Shahbazi; A Savaş Koparal; Ulker Bakır Öğütveren
Journal:  Environ Sci Pollut Res Int       Date:  2014-04-01       Impact factor: 4.223

  1 in total

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