Optimization of conditions for the preparation of new adsorbent material from residues of marine algae applying a response surface methodology

Tarbaoui, Meriem; Oumam, Mina; Fakhfakh, Nadim; Charrouf, M.; Berrada, M.; Bennamara, A.; Abourriche, A.

doi:10.9790/5736-071017686

Cited by 1 publication

(1 citation statement)

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“…The optimization process involves three major steps: (1) performing the statistically designed experiments, (2) estimating the coefficients in a mathematical model, and (3) predicting the response and checking the adequacy of the model [14][15][16][17][18] . An empirical model was developed to correlate the response to the decarbonization process and is based on second-order quadratic model for decarbonization of Timahdit oil shale using acetic acid as given by Eq.…”

Section: Rsm and Ccd Statistical Optimizationmentioning

confidence: 99%

Applying Response Surface Methodology to optimize the decarbonization process of Timahdit oil shale

et al. 2019

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The present article aims to optimize the decarbonization of Timahdit oil shale layer Y by removing carbonates from the raw rock using acetic acid. The response surface methodology â€œcentral compositeÂ design (CCD)â€ has been used as a method of optimization to study the 3 factors of the process. The factors studied are the concentration of the acid, the processing time, and the ratio (liquid/solid). The optimal conditions with 68.17% of residue rate are obtained with 2 mol/l as concentration, 120 min as a time of treatment and 10.02 for the ratio.The raw (Y) and optimized materials (YO) were characterized by Scanning Electron MicroscopyÂ (SEM), X-ray fluorescence (XRF) and X-rayÂ diffractionÂ (XRD). The results showed that the acetic acid used to remove carbonates affects the chemical composition and the texture evolution of the residues.

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Section: Rsm and Ccd Statistical Optimizationmentioning

confidence: 99%