Volume 4, Issue 1 (2020)
IQBQ 2020, 4(1): 51-43 |
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heidari K, jafari D, babaei N, Esfandyari M. Removal of heavy metal zinc from aqueous solution by the alga Gracilaria corticata. IQBQ 2020; 4 (1) :51-43
URL: http://arcpe.modares.ac.ir/article-38-38725-en.html
URL: http://arcpe.modares.ac.ir/article-38-38725-en.html
1- Master of chemical engineering, Islamic Azad University, Bushehr Branch, Bushehr, Iran
2- Assistant professor of chemical engineering, Islamic Azad University, Bushehr Branch, Bushehr, Iran ,dariush.jafari@yahoo.com
3- Assistant professor of biotecnology, Islamic Azad University, Bushehr Branch, Bushehr, Iran
4- Assistant professor of chemical engineering, University of Bojnord, Bojnord, Iran
2- Assistant professor of chemical engineering, Islamic Azad University, Bushehr Branch, Bushehr, Iran ,
3- Assistant professor of biotecnology, Islamic Azad University, Bushehr Branch, Bushehr, Iran
4- Assistant professor of chemical engineering, University of Bojnord, Bojnord, Iran
Abstract: (3453 Views)
Research subject:
Zinc is one of the most dangerous organic components in industrial wastewaters, which pollutes the environment as a result of human activities and various industrial operations. In the present study, the adsorbent prepared from Gracilaria Corticata algae was used for the first time to recover and remove heavy metal zinc and equilibrium study of the process were done.
Research approach:
In the current work, the effect of important parameters such as initial pH of solution, adsorbent dosage and contact time were investigated on the adsorption efficiency of the process. Additionally, Langmuir and Freundlich two-parameter adsorption isotherm models were used to model the equilibrium of zinc adsorption.
Main results:
The results showed that according to the calculated correlation coefficient, Freundlich isotherm was better than the Langmuir in fitting the experimental data. The highest point-to-point correlation coefficient for adsorbent percentage was achieved at 3 g/ml adsorbent dosage with contact time of min 360 and pH=7 and the lowest one was at 4 g/ml adsorbent dose with contact time of min PH=360 and 7. However, the highest adsorption rate was observed for the adsorbent dosage of 4 g/ml with contact time of 420 min at pH=9 and the lowest adsorption percentage was achieved at the adsorbent dosage of 2 g/ml with contact time of 300 min and pH=5. The maximum and minimum adsorption percentages were 76.88 mg/g and 49.25 mg/g, respectively
Zinc is one of the most dangerous organic components in industrial wastewaters, which pollutes the environment as a result of human activities and various industrial operations. In the present study, the adsorbent prepared from Gracilaria Corticata algae was used for the first time to recover and remove heavy metal zinc and equilibrium study of the process were done.
Research approach:
In the current work, the effect of important parameters such as initial pH of solution, adsorbent dosage and contact time were investigated on the adsorption efficiency of the process. Additionally, Langmuir and Freundlich two-parameter adsorption isotherm models were used to model the equilibrium of zinc adsorption.
Main results:
The results showed that according to the calculated correlation coefficient, Freundlich isotherm was better than the Langmuir in fitting the experimental data. The highest point-to-point correlation coefficient for adsorbent percentage was achieved at 3 g/ml adsorbent dosage with contact time of min 360 and pH=7 and the lowest one was at 4 g/ml adsorbent dose with contact time of min PH=360 and 7. However, the highest adsorption rate was observed for the adsorbent dosage of 4 g/ml with contact time of 420 min at pH=9 and the lowest adsorption percentage was achieved at the adsorbent dosage of 2 g/ml with contact time of 300 min and pH=5. The maximum and minimum adsorption percentages were 76.88 mg/g and 49.25 mg/g, respectively
Keywords: Zinc ion, Adsorption, Gracilaria algae, Corticata species, Aqueous solution, Kinetic behavior
Article Type: Original Research |
Subject:
filtration
Received: 2019/12/4 | Accepted: 2020/01/18 | Published: 2020/06/21
Received: 2019/12/4 | Accepted: 2020/01/18 | Published: 2020/06/21
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