Three Level Design to Estimate Dyes Adsorption Parameters using Oenological By-Product as Adsorbent

  • Fouzia Ouazani Energy and process engineering department, Faculty of Technology UDL-SBA –Algeria
  • Yamina Chergui Saharan Natural Resources Laboratory. Faculty of Science and Technology, Ahmed Draia University - Adrar 01000, Algeria
  • Samia Benhammadi Laboratory of Science, Technology and Process Engineering - LSTGP. University of Science and Technology USTO-Oran Algeria
  • Aya Saidi Energy and process engineering department, Faculty of Technology UDL-SBA –Algeria
Keywords: Adsorption, Optimization, Three-level design, Grape Marc waste, Textile dye, Statistical study


In this study, Grape Marc (an oenological by-product) obtained from local winemaking was used as an adsorbent. Two ways are used to determine Methyl Blue (MB) and BEMACID Red (BR) dyes adsorption parameters' effects on adsorbent efficiency. In a kinetic way, the batch mode tests the effects of different parameters: solution pH, contact time, initial dyes concentration, and sorbent weight. The statistical way used response surface methodology with three-level designs. In the batch mode, the high dyes removal of 95% and 91.8% were observed at pH = 6 and pH =2 for BM and BR dyes respectively for initial dyes concentration of 50 mg/L. The pseudo-second-order kinetic model could better define the experimental data with a high determination coefficient R2 = 0.99.  Also from the kinetic study, the two empirical correlations reflect the weak effect of sorbent weight on the external mass coefficient for the BR dye kf BR dye = 2.2.10-6 M 0.618. While the statistical results show positive effects of pH on adsorption capacities values for the BR dye removal and negative effect toward the second dye (MB). The two mathematics formulas generated by the BBD model are tested in a confidence level greater than 95% (p-value < 0.05) and the dependence percentage between the factors and the response is 99% and 98% for MB and BR dye respectively. In summary, the GM has a high affinity towards MB dye compared to BR dye and the statistical way gives more adsorption information compared to the classical way.


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How to Cite
Ouazani, F., Chergui, Y., Benhammadi, S., & Saidi, A. (2022). Three Level Design to Estimate Dyes Adsorption Parameters using Oenological By-Product as Adsorbent. Journal of Environmental Treatment Techniques, 10(1), 134-142.
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