Volume 24, Issue 2 (Scientific Journal of Hamadan University of Medical Sciences-Summer 2017)                   Avicenna J Clin Med 2017, 24(2): 143-151 | Back to browse issues page


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Asgari G, Seidmohammadi A, Bagheri M, Chavoshi S. Evaluating the Efficiency of Dye Removal from Textile Industry Wastewater Using the Titanium Dioxide Photocatalytic Process under UV-LED Light Irradiation: A Case Study, Hamadan Nakh Rang Factory. Avicenna J Clin Med 2017; 24 (2) :143-151
URL: http://sjh.umsha.ac.ir/article-1-1503-en.html
1- Hamadan University of Medical Sciences , so.chavoshi@yahoo.com
Abstract:   (6158 Views)
Introduction: Textile industries, due to a high volume of wastewater and harmful environmental factors such as a variety of dyes, are significant industries in industrial wastewaters treatment. So, the aim of this study was to examine the efficiency of dye removal from the textile industry wastewater using the titanium dioxide photocatalytic process under UV-LED light irradiation (UV-LED/TiO2) in the treatment of the Nakh Rang factory wastewater in Hamadan City, Iran.
Methods: In this experimental study, in every experiment, 100 mL sample was placed inside the LED reactor to expose to the UV light and TiO2. The effects of some parameters such as contact time, pH and dosage of TiO2 were examined, and decomposition kinetics and the synergistic effects were also determined for each process.
Results: The results of the experiments showed that the UV-LED/TiO2 process can remove the dye from textile wastewater with the efficiency of 80.23% and can also remove the chemical oxygen demand (COD) with the efficiency of 64.75% under the optimum conditions and during 120 minutes. Also, the reaction of dye decomposition in this wastewater was a first-order kinetic function.
Conclusion: The results of this study show that the UV-LED/TiO2 can be used effectively to remove the dye and reduce the COD of the textile industry wastewater under optimal operating conditions.
 
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Type of Study: Original | Subject: Other Clinical Specialties

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