The performance of nanorods material as adsorbent for removal of azo dyes and heavy metal ions: Application of ultrasound wave, optimization and modeling
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- 作者：Ebrahim Alipanahpour Dil ; Mehrorang Ghaedi ; m_ghaedi@mail.yu.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Arash Asfaram
- 关键词：Artificial neural network ; Heavy metals ; Dyes ; Response surface methodology ; Ultrasonic assisted adsorption ; ZnO-NRs-AC
- 刊名：Ultrasonics Sonochemistry
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：34
- 期：Complete
- 页码：792-802
- 全文大小：2684 K
文摘
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Quaternary adsorption of dyes and ions on zinc (II) oxide nanorod loaded on activated carbon.
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Ultrasound shows considerable advantages on the simultaneous removal of dyes and ions.
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Response surface and artificial neural network methods were utilized for optimization and modeling.
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The experimental kinetic data were described by the pseudo-second-order equation.
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Langmuir model was statistically proven to best fit the experimental data.