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Iranian Journal of Health Sciences، جلد ۱، شماره ۳، صفحات ۲۸-۳۴
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Study of Cadmium Removal from Aqueous Solutions by Sunflower Powders and its Modeling Using Artificial Neural Network |
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| چکیده انگلیسی مقاله |
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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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
عبدالایمان عمویی | abdol iman amouei
علی اکبر عمویی | ali akbar amooey
فاطمه اصغرزاده | fatemeh asgharzadeh
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| نشانی اینترنتی |
http://jhs.mazums.ac.ir/browse.php?a_code=A-10-343-12&slc_lang=en&sid=en |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
مدیریت خدمات بهداشتی و درمانی |
| نوع مقاله منتشر شده |
پژوهشی |
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