Article (Scientific journals)
Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives
Yahoum, Madiha Melha; Toumi, Selma; Hentabli, Salma et al.
2023In Materials, 16 (7), p. 2565
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Keywords :
General Materials Science
Abstract :
[en] The main objective of this study was to create a mathematical tool that could be used with experimental data to predict the rheological flow behavior of functionalized xanthan gum according to the types of chemical groups grafted onto its backbone. Different rheological and physicochemical analyses were applied to assess six derivatives synthesized via the etherification of xanthan gum by hydrophobic benzylation with benzyl chloride and carboxymethylation with monochloroacetic acid at three (regent/polymer) ratios R equal to 2.4 and 6. Results from the FTIR study verified that xanthan gum had been modified. The degree of substitution (DS) values varying between 0.2 and 2.9 for carboxymethylxanthan gum derivatives were found to be higher than that of hydrophobically modified benzyl xanthan gum for which the DS ranged from 0.5 to 1. The molecular weights of all the derivatives were found to be less than that of xanthan gum for the two types of derivatives, decreasing further as the degree of substitution (DS) increased. However, the benzyl xanthan gum derivatives presented higher molecular weights varying between 1,373,146 (g/mol) and 1,262,227 (g/mol) than carboxymethylxanthan gum derivatives (1,326,722–1,015,544) (g/mol). A shear-thinning behavior was observed in the derivatives, and the derivatives’ viscosity was found to decrease with increasing DS. The second objective of this research was to create an ANN model to predict one of the rheological properties (the apparent viscosity). The significance of the ANN model (R2 = 0.99998 and MSE = 5.95 × 10−3) was validated by comparing experimental results with the predicted ones. The results showed that the model was an efficient tool for predicting rheological flow behavior.
Disciplines :
Chemistry
Author, co-author :
Yahoum, Madiha Melha;  Materials and Environment Laboratory (LME), University Yahia Fares of Medea, Medea 26000, Algeria
Toumi, Selma;  Faculty of Sciences, Nouveau Pole Urbain, University Yahia Fares of Medea, Medea 26000, Algeria
Hentabli, Salma;  Laboratory of Experimental Biology and Pharmacology (LBPE), University Yahia Fares of Medea, Medea 26000, Algeria
Tahraoui, Hichem ;  Laboratoire de Génie des Procédés Chimiques, Department of Process Engineering, University of Ferhat Abbas, Setif 19000, Algeria ; Laboratory of Biomaterials and Transport Phenomena (LBMTP), University Yahia Fares of Medea, Medea 26000, Algeria
Lefnaoui, Sonia;  Laboratory of Experimental Biology and Pharmacology (LBPE), University Yahia Fares of Medea, Medea 26000, Algeria
Hadjsadok, Abdelkader;  Functional Analysis of Chemical Processes Laboratory, Chemical Engineering Department, Saad Dahlab University, PB 270, Blida 09000, Algeria
Amrane, Abdeltif ;  Ecole Nationale Supérieure de Chimie de Rennes, Centre National de la Recherche Scientifique (CNRS), ISCR—UMR 6226, Université de Rennes, F-35000 Rennes, France
Kebir, Mohammed ;  Research Unit on Analysis and Technological Development in Environment (URADTE-CRAPC), BP 384, Bou-Ismail 42004, Algeria
Moula, Nassim  ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Méthodes expérimentales des animaux de laboratoire et éthique en expérimentation animale
Assadi, Amin Aymen ;  Ecole Nationale Supérieure de Chimie de Rennes, Centre National de la Recherche Scientifique (CNRS), ISCR—UMR 6226, Université de Rennes, F-35000 Rennes, France ; College of Engineering, Imam Mohammad Ibn Saud Islamic University, IMSIU, Riyadh 11432, Saudi Arabia
Zhang, Jie ;  School of Engineering, Merz Court, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Mouni, Lotfi ;  Laboratory of Management and Valorization of Natural Resources and Quality Assurance, SNVST Faculty, Akli Mohand Oulhadj University, Bouira 10000, Algeria
Language :
English
Title :
Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives
Publication date :
23 March 2023
Journal title :
Materials
eISSN :
1996-1944
Publisher :
MDPI AG
Volume :
16
Issue :
7
Pages :
2565
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 25 March 2023

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