Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process
Tóm tắt
This study aims to optimize the factors influencing the removal of textile dyes by a physicochemical treatment, coagulation-flocculation, using an experimental design. By carrying out the tests and analysing the data, the screening of the factors made it possible to identify the optimum conditions necessary to obtain better elimination. These operating conditions are pH, coagulant dose, the concentration of initial solutions, and stirring speed. Our study demonstrated the importance of applying the design of experiments methodology, particularly the response surface methodology (RSM). A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation.
Tài liệu tham khảo
Ani JU, Okor UC, Aneke LE, Onukwuli OD, Obi IO, Akpomie KG, Ofomatah AC (2019) Application of response surface methodology for optimization of dissolved solids adsorption by activated coal. Appl Water Sci 9:60. https://doi.org/10.1007/s13201-019-0943-7
Baraka N, Abdennouri M, Boussaoud A, Galadi A, Baâlala M, Bensitel M, Sahibed-Dine A, Nohair K, Sadiq M (2014) Full factorial experimental design applied to oxalic acid photocatalytic degradation in TiO2 aqueous suspension. Arab J Chem 7(5):752–757. https://doi.org/10.1016/j.arabjc.2010.12.015
Erper I, Odabas MS, Turkkan M (2011) The mathematical approach to the effect of potassium bicarbonate on mycelial growth of Sclerotiniasclerotiorum and Rhizoctoniasolani AG 4 HG-I in vitro. Zemdirb- Agric 98(2):195–204
Evrard Y, Pras B, Roux ET (2009) Market : Etudes et recherches en marketing. Dunod, Paris, p 720p
Goupy J (2013) La méthode des plans d’expériences, 5th edn. Dunod, Paris, p 28p
Gullón P, Gullón B, Astray G, Jose PC, Lorenzo M (2021) Modeling approaches to optimize the recovery of polyphenols using ultrasound-assisted extraction in Design and Optimization of Innovative Food Processing Techniques Assisted by Ultrasound
Jahan A, KL, Marjan, Bahraminasab M (2016) Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design (Second Edition), 2016, Pages 127–146; Chapitre 6 - Multiple objective decision-making for material and geometry design. https://doi.org/10.1016/B978-0-08-100536-1.00006-0
Kitous O, Abdi N, Lounici H, Grib H, Drouiche N, Benyoussef EH, Mameri N (2014) Modeling of the adsorption of metribuzin pesticide onto electro-activated granular carbon. Desalin Water Treat 57(4):1865–1873. https://doi.org/10.1080/19443994.2014.977961
Mehdi Nassiri Mahallati M.N.(2020), Advances in modeling saffron growth and development at different scales, in Saffron, 2020
Montgomery DC (2001) Design and Analysis of Experiments. Wiley, New York
Myers RH, Montgomery DC (2002) Response Surface Methodology, 2nd. WILEY C SONS, New York, NY, USA
Sado J, Sado MC (2001) Les plans d’expériences: de l’expérimentation à L’assurance qualité, AFNOR Technique, paris, France, p 234
Taylor S (2017) Experimental Research Methods, Editor: Leicester : ShortCutstv
Tinsson A (2010) Plans d’expérience constructions et analyses statistiques. Springer, New York, p 535
Torrades F, Garcia-Montaňo J (2014) Using central composite experimental design to optimize the degradation of real dye wastewater by Fenton and Photo-Fenton reaction. Dyes Pigment 100(1):184–189. https://doi.org/10.1016/j.dyepig.2013.09.004
Yim SC, Yi Yusup YS, Johari K, Quitain AT, Daniel Joe Dailin DJ (2019) Advances in Feedstock Conversion Technologies for Alternative Fuels and Bioproducts New Technologies, Challenges, and Opportunities, Woodhead Publishing Series in Energy, Pages 281–298: Chapter 15 - Supercritical Extraction of Value-Added Compounds From Empty Fruit Bunch: An Optimization Study by Response Surface Methodology