کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
147530 456395 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Batch and column adsorption and desorption of fluoride using hydrous ferric oxide: Solution chemistry and modeling
ترجمه فارسی عنوان
جذب و جداسازی دسته و ستون از فلوراید با استفاده از هیدروژن اکسید آهن: شیمی راه حل و مدل سازی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


• HFO had the highest Freundlich model F adsorption capacity among seven adsorbents.
• Zeta potential data on HFO indicated a specific F adsorption mechanism.
• Column adsorption data fitted fairly well to Thomas model.
• Thomas model data fit improved by using an artificial neural network approach.
• NaOH can desorb F, not NaCl and Na2SO4, supporting pH and co-ions’ effects on adsorption.

Elevated intake of fluoride (F), mainly through drinking water, is a major threat to human health worldwide. A study was conducted to remove F from aqueous solution by adsorption onto hydrous ferric oxide (HFO) in batch and fixed-bed column experiments. Of the seven adsorbents (four anion exchange resins, three multivalent metal oxides) tested, HFO had the highest adsorption capacity. Fluoride adsorption on HFO fitted well to Langmuir and Freundlich models with a Langmuir adsorption maximum of 6.71 mg F/g at pH 6.5. Fluoride adsorption continuously decreased from pH 3 to 7. Point of zero charge of HFO was pH 5 which fell to pH 4 in the presence of 10 mg F/L and 1 g HFO/L, indicating that F was specifically adsorbed on HFO. Fluoride was not desorbed by 0.1 M NaCl and 0.1 M Na2SO4 but effectively desorbed by 0.1 M NaOH. The F adsorption capacity in column experiments (10% or 20% HFO + 90% or 80% anthracite) was progressively reduced with increasing number of adsorption/NaOH desorption cycles up to three cycles reaching a final value of 3.26 mg F/g HFO. The breakthrough data from column studies at different bed heights, inlet concentrations, and pHs were fairly well described by Thomas model, but using an artificial neural network approach improved the model capability.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Journal - Volume 247, 1 July 2014, Pages 93–102
نویسندگان
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