modeling nitrate removal by nano-scaled zero-valent iron using response surface methodology

Authors

mohammad ali zazouli health sciences research center, department of environmental health engineering, faculty of health, mazandaran university of medical sciences, sari, ir iran

ramazan ali dianati tilaki health sciences research center, department of environmental health engineering, faculty of health, mazandaran university of medical sciences, sari, ir iran

marjan safarpour student research committee, faculty of health, mazandaran university of medical sciences, sari, ir iran; student research committee, faculty of health, mazandaran university of medical sciences, sari, ir iran. tel: +98-2314481905

abstract

background contamination of water resources with nitrate is a serious environmental problem in many regions of the world. in addition, this problem has been observed in some regions of iran. as nitrate is threatening for human health and environment, it must be decreased to standard levels in drinking water. objectives the purpose of this research was to model the nitrate removal from water by nano-scaled zero-valent iron (nzvi) using response surface methodology and to investigate the effects of the nzvi dose, nitrate concentration, contact time, and ionic strength on removal efficiency. materials and methods box-behnken design was used. response surface methodology was used for modeling nitrate removal. all experiments were conducted according to standard methods. important assessed parameters included nzvi dose (0.5-2 g/l), nitrate concentration (50-150 mg/l), contact time (15-60 minutes), and ionic strength (1000-5000 μmho/cm). results results indicated that there was a direct association between nitrate removal efficiency and time and nzvi dosage. therefore, increasing of the contact time or nzvi dose would increase nitrate removal. on the other hand, the nitrate removal was decreased when ionic strength and initial concentration were increased. the analysis of variance revealed that the proposed regression model could be appropriately used to design experiments. the model correlation coefficient was 0.9992 and the adjusted value was 0.9982. conclusions response surface methodology and box-behnken design were powerful statistical tools for navigating nitrate reduction process. the results showed that a high percentage of nitrate were reduced by nzvi and this method might be efficiently used for nitrate removal from water.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Assessment of Phenol Removal Efficiency by Synthesized Zero Iron Nanoparticles and Fe Powder Using the Response Surface Methodology

The purpose of this study was the investigation of the removal of phenol with nanoparticles zero valent iron and iron powder. The effect of various parameters such as initial concentration, pH, contact time, and dosage of NZVI and Fe powder was examined, and a Central Composite Design (CCD) was then applied to appraisal the effect of these variables. The chemical and physical characteristic...

full text

Response Surface Methodology Modeling to Determine of Trace Amounts of Phenolic Compounds Using Silver Modified / Zero Valent Iron/ Fe3O4@G Nanocomposite

In this study, a simple and fast magnetic dispersive solid phase extraction methodology was developed G@Fe3O4/Fe/Ag nanoparticles for preconcentration and determine of phenolic compounds in water samples. The sorbent was characterized by assorted characterization method. The effects of diverse factor on the extraction process were studied thoroughly via design of experiment and desirability fun...

full text

Modeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology

Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...

full text

Modeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology

Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...

full text

Response surface method Optimization of the Dyes Degradation using Zero-Valent Iron based Bimetallic Nanoparticle on the Bentonite Clay Surface

Immobilizing of zero-valent iron in mono- and bi-metallic systems on the bentonite clay surface as new nanocatalyst were synthesized and used to degrade model acidic dyes from aqueous media. The Fourier-transform infrared spectroscopy, scanning electron microscopy-energy dispersive X-ray spectroscopy, transmission electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller analysis were ...

full text

Soil Remediation Using Nano Zero-valent Iron Synthesized by an Ultrasonic Method

A new method for the synthesis of nano zero-valent iron (nZVI) was developed in the present study. Ultrasonic waves, as a novel method, were used to synthesize the nanoparticles. The morphology and surface compositions of the particles were characterized by using FESEM, XRD, BET, and particle size analyzer. The synthesized nanoparticles were then utilized as a Fenton-like catalyst to degrade of...

full text

My Resources

Save resource for easier access later


Journal title:
health scope

جلد ۳، شماره ۳، صفحات ۰-۰

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023