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Prediction of the cloud point of polyethoxylated surfactants and their mixtures by the thermodynamic model of Flory-Huggins-Rupert

Haddou, Boumediene and Benkhedja, Houaria and Salles, Katia Teixeira da Silva de la and Canselier, Jean-Paul and Gourdon, Christophe Prediction of the cloud point of polyethoxylated surfactants and their mixtures by the thermodynamic model of Flory-Huggins-Rupert. (2018) Journal of Dispersion Science and Technology. 1-8. ISSN 0193-2691

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Official URL: https://doi.org/10.1080/01932691.2018.1485577

Abstract

The cloud point curves of polyethoxylated surfactants are established experimentally. These experimental data are preliminary to the development of the cloud point extraction process, which appears as an interesting alternative to the usual solvent extraction unit operation. Starting from the thermodynamic model developed by Flory and Huggins for phase separation of polymer aqueous solutions, this paper aims at the prediction of cloud point curves. In this work, Rupert’s approach is extended to commercial nonionic surfactants, mixtures of homologous species, namely a few alkylphenol and alcohol ethoxylates. The limit of such an approach is clearly demonstrated, provided that a fitting parameter is finally required for a successful model application to pilot-plant manufactured surfactants, like C8ΦEn (n = 7.5, 10, 12), C9ΦEn (n = 8, 10, 12), C12E4, C12E6 and commercial Tergitol 15-S-7 (linear C12-C14 secondary alcohol with an average of 7 ethylene oxide units)

Item Type:Article
HAL Id:hal-02135611
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Université des Sciences et de la Technologie Mohamed Boudiaf d'Oran - USTO (ALGERIA)
Other partners > Center of Exact Sciences and Technology - UNIRIO (BRAZIL)
Laboratory name:
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Deposited By: Loetitia MOYA
Deposited On:26 Nov 2018 14:22

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