دوره 1، شماره 3 - ( 9-1392 )                   جلد 1 شماره 3 صفحات 28-34 | برگشت به فهرست نسخه ها



DOI: 10.18869/acadpub.jhs.1.3.28

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Amouei A I, Amooey A A, Asgharzadeh F. A Study of Cadmium Removal from Aqueous Solutions by Sunflower Powders and its Modeling Using Artificial Neural Network. Iran J Health Sci. 2013; 1 (3) :28-34
URL: http://jhs.mazums.ac.ir/article-1-119-fa.html
A Study of Cadmium Removal from Aqueous Solutions by Sunflower Powders and its Modeling Using Artificial Neural Network. علوم بهداشتی ایران. 1392; 1 (3) :28-34

URL: http://jhs.mazums.ac.ir/article-1-119-fa.html


چکیده:   (22465 مشاهده)

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.

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نوع مطالعه: پژوهشي | موضوع مقاله: مديريت خدمات بهداشتي و درماني
دریافت: ۱۳۹۲/۱۰/۱۳ | پذیرش: ۱۳۹۲/۱۰/۱۳ | انتشار: ۱۳۹۲/۱۰/۱۳

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