Iranian Journal Of Health Sciences
علوم بهداشتی ایران
Iran J Health Sci
Medical Sciences
http://jhs.mazums.ac.ir
1
admin
2322-553X
2322-4797
10.29252/jhs
en
jalali
1392
9
1
gregorian
2013
12
1
1
3
online
1
fulltext
en
A Study of Cadmium Removal from Aqueous Solutions by Sunflower Powders and its Modeling Using Artificial Neural Network
مديريت خدمات بهداشتي و درماني
Management of health care services
پژوهشي
Original Article
<p>Background and purpose: Cadmium is hazardous and non-biodegradable material entering the food chain. In this paper, the removal of cadmium from aqueous solutions by sunflower powder (the natural biosorbent) was investigated. Materials and Methods: The experiments were performed in a batch system. The effect of parameters such as contact time, pH, cadmium concentration and adsorbent dose were evaluated. Results: The results showed that increasing of pH, contact time and adsorbent dose caused increasing efficiency of removal cadmium from aqueous solutions. The results were modeled using biosorption kinetics and a neural network with four hidden neurons, including bias which was able to predict the concentration dependency of data very accurately. Conclusion: On the basis of the results, could be used from sunflower residues as a cost and efficient biosorbent for treatment of wastewater with Cadmium. The prediction of the artificial neural network model fit the experimental data very precisely.</p>
Sunflower powder,Aqueous Two Phase, Biosorption,Cadmium, Biokinetics, Neural Network
28
34
http://jhs.mazums.ac.ir/browse.php?a_code=A-10-343-12&slc_lang=en&sid=1
Abdol Iman
Amouei
10031947532846003874
10031947532846003874
No
Babol University of Medical Sciences, Babol, Iran
Ali Akbar
Amooey
aamooey@umz.ac.ir
10031947532846003875
10031947532846003875
Yes
Department of Chemical Engineering, University of Mazandaran, Babolsar, Iran
Fatemeh
Asgharzadeh
10031947532846003876
10031947532846003876
No
Babol University of Medical Sciences, Babol, Iran