Breakthrough Curves Analysis and Statistical Design of Phenol Adsorption on Activated Carbon. Issue 2 (21st December 2018)

• Record Type: Journal Article
• Authors: Benmahdi, Fatiha; Semra, Safia; Haddad, Djemal; Mandin, Philippe; Kolli, Mounira; Bouhelassa, Mohammed
• Is Part Of: Chemical engineering & technology. Volume 42:Issue 2(2019)
• Page Start: 355
• Page End: 369
• Publication Date: 2018-12-21
• Subjects: Breakthrough curve -- Column adsorption -- Modeling -- Phenol; Chemical engineering -- Periodicals; Chemical processes -- Periodicals; 660.05
• DOI: 10.1002/ceat.201800402
• Languages: English
• ISSNs: 0930-7516

Abstract

Abstract: Activated carbon was used as an adsorbent for the removal of phenol from aqueous solution under various operating conditions. Statistical design using MATLAB® tools was employed to study the effects of three variables on six different response factors. MATLAB® software was employed to solve proposed quadratic model equations and for fitting a quadratic response surface. All the models with a very high adjusted R ‐square predicted the experimental data well. The Thomas, the Yoon‐Nelson, the Wolborska, the bed depth service time, and the linear driving force models were used to predict breakthrough curves for experimental data. The results showed that the linear driving force model was suitable for the prediction of the breakthrough curve data. Abstract : Statistical design was employed to evaluate the effects of the inlet phenol concentration, the bed depth, and the flow rate on six response factors when using activated carbon as an adsorbent for the removal of phenol from aqueous solution. Of six different kinetic models proposed to predict breakthrough curves for experimental data, the linear driving force model was found to be most suitable.