کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
690540 1460415 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of artificial neural network and response surface methodology for the removal of crystal violet by zinc oxide nanorods loaded on activate carbon: kinetics and equilibrium study
ترجمه فارسی عنوان
استفاده از شبکه های عصبی مصنوعی و روش پاسخ سطحی برای حذف بنفش کریستالی توسط نانو ذره اکسید روی که در فعال بودن کربن قرار دارد: مطالعه سینتیک و تعادل
کلمات کلیدی
شبکه های عصبی مصنوعی، بنفش کریستال، مطالعه تعادل، سینتیک، روش سطح پاسخ، نانوذرات اکسید روی فعال شده در کربن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی


• Zinc oxide nanorods loaded on activated carbon was utilized as an adsorbent.
• This material was characterized using different techniques such as FESEM, XRD and FTIR.
• Optimization of adsorption process using response surface methodology (RSM).
• Removal of dye was significantly enhanced by combination of ultrasound and ZnO-NR-AC.
• The adsorption capacity for CV dye was 113.64 mg/g at neutral pH.
• In optimal conditions the adsorption efficiency was 99.50%.

The present work discusses the removal of crystal violet dye from aqueous solution by ultrasound assisted adsorption using zinc oxide nanorods loaded on activate carbon as an adsorbent. The said adsorbent was prepared and characterized using field emission scanning electron microscopy, X-ray diffraction and Fourier transform infrared analysis. The important process parameters, such as initial crystal violet concentration (8–24 mg/L), solution pH (3.0–7.0), adsorbent doses (0.005–0.025 g), and sonication time (2–6 min) were optimized using design of experiments. The optimum removal efficiency of crystal violet onto adsorbent was determined as 99.82% at pH 7.0, 0.025 g adsorbent dosage, 24 mg/L initial crystal violet concentration and 5.0 min sonication time. Analysis of variance showed a high coefficient of determination (R2 = 0.992). The present analysis suggests that the predicted values are in good agreement with experimental data. Also, the artificial neural network model was used for predicting removal (%) of crystal violet dye based on experimental data. Equilibrium data was fitted well with the Langmuir model having maximum adsorption capacity of 113.64 mg/g. The adsorption of crystal violet followed the pseudo-second order kinetic model. This study clearly showed that response surface methodology was one of the appropriate methods to optimize the operating conditions.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Taiwan Institute of Chemical Engineers - Volume 59, February 2016, Pages 210–220
نویسندگان
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