[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
Flowchart of approve and expert process::
indexing and abstracting::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 6, Issue 1 (winter 2015) ::
j.health 2015, 6(1): 30-42 Back to browse issues page
Optimization of Catalytic Ozonation Process by Using Fe/MgO Nanoparticle in Removal of Phenol from Aqueous Solution with Design of Experiments Based on Taguchi Statistical Modeling
J Mehralipour * , G Asgari
Hamadan University of Medical Sciences
Abstract:   (8963 Views)

Background & Objectives: The presence of phenol in effluents may cause risk to human health. By Taguchi statistical model, the process can be optimized by certain number of experiments. The aim of this study was optimization of catalytic ozonation process in removal of phenol from aqueous environments by Nano Fe / MgO with Taguchi statistical model. Methods: In this experimental study, experiment design was set based on the statistical model. Parameters such as pH (3, 5, 9, and 11), initial concentration of pollutant (500, 1000, 1500, and 2000 mg/L), reaction time (10, 20, 30, and 40 min) and catalytic dose (0.1, 0.2, 0.3 and 0.4 g/L) in 4 layers and 4 levels were investigated. Data were analyzed with Minitab ver.16 software. Residual concentration of phenol was measured according to standard method book. Results: The results showed that, efficiency of phenol removal depends on various operational parameters. The optimum conditions of phenol removal was obtained at reaction time=30 min, pH=5, the phenol initial concentration of 1000 mg/L and catalyst dose of 0.1 g/L. Among the factors investigated initial concentration of phenol has the maximum effect (69.5%) and reaction time the minimum (3.2%) effect in optimum conditions. S/N ratio of 39.39 was estimated at optimum conditions. Conclusions: By using Taguchi statistical model, phenol removal was optimized in certain number of experiments. Ozonation process has high capability in phenol removal.

Keywords: Phenol, Catalytic Ozonation, Fe/MgO Nanoparticles, Taguchi Statistical Model, Aquatic.
Full-Text [PDF 343 kb]   (3047 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/03/16 | Accepted: 2015/03/16 | Published: 2015/03/16
Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mehralipour J, Asgari G. Optimization of Catalytic Ozonation Process by Using Fe/MgO Nanoparticle in Removal of Phenol from Aqueous Solution with Design of Experiments Based on Taguchi Statistical Modeling . j.health 2015; 6 (1) :30-42
URL: http://healthjournal.arums.ac.ir/article-1-525-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 6, Issue 1 (winter 2015) Back to browse issues page
مجله سلامت و بهداشت Journal of Health
Persian site map - English site map - Created in 0.14 seconds with 37 queries by YEKTAWEB 4623