An interplay between spacer nature and alkyl chain length on aqueous micellar properties of cationic Gemini surfactants: A multi-technique approach

Parikh, Kushan; Singh, Sneha; Desai, Anjana J.; Kumar, Sanjeev

doi:10.1016/j.molliq.2019.01.044

Cited by 23 publications

(13 citation statements)

References 69 publications

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“…13 It has been proven both theoretically and experimentally that the nature of the spacer plays a key role in the physicochemical behavior of gemini surfactants. [16][17][18] The spacer could be exible (methylene units), 19 rigid (double bond or triple bond, benzene ring), 20 hydrophilic (ether linkage), 21 and hydrophobic (hydrocarbon chain). 11 The spacer, being a critical part of a gemini surfactant, regulates adsorption on the interface layer and controls aggregation.…”

Section: Introductionmentioning

confidence: 99%

Surface and thermal properties of synthesized cationic poly(ethylene oxide) gemini surfactants: the role of the spacer

et al. 2019

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Section: Introductionmentioning

confidence: 99%

Surface and thermal properties of synthesized cationic poly(ethylene oxide) gemini surfactants: the role of the spacer

et al. 2019

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“…Recently, quantitative structure-property relationship (QSPR) method was used in many fields to extract and link chemicals properties to their molecular structures [22][23][24][25][26][27][28][29][30]. In QSPR modelling different computational techniques have been used, such as multiple linear regression (OLS or MLR), PLS, ANN, SVR and ANFIS [31][32][33][34][35][36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

“…To the best to our knowledge, a few research papers have investigated the modelling techniques of Gemini surfactants based on relevant descriptors [3,13,[14][15][16][17][18][19][20]28,44]. The novelty of this work is the application of SVR-DA algorithm to model the CMC of diverse Gemini surfactants which has not been evaluated for CMC estimation yet and compare its performance with ANN, OLS, PLS and KNN model.…”

Section: Introductionmentioning

confidence: 99%

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Laidi

Abdallah

Si‐Moussa

et al. 2021

CI&CEQ

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As quantitative structure-property relationship (QSPR) technique provides a suitable tool to predict the critical micelle concentration (CMC) of Gemini surfactants from their structure descriptors. In this study, a comparative work was conducted to model the CMC property of 211 diverse Gemini surfactants based on their structural characteristics using linear and non-linear quantitative structure-property relationship models. Least squares model (OLS) and partial least squares (PLS) against k-nearest neighbours regression model (KNN), artificial neural network (ANN) and support vector regression (SVR) have been developed to model the CMC. Molecular descriptors were calculated and screened to remove unsuitable descriptors and improve the learning. Results indicate that the improved performance of support vector regression when the hyper-parameters are optimized using Dragonfly algorithm (SVR-DA) was highly capable of predicting the pCMC (-logCMC) values with an average absolute relative deviation (AARD) of 0.666 and coefficient of determination (R?) of 0.9971 for the global dataset.

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“…The chemical structures were sensibly planned in order to acquire certain properties. For example, the GSs with a hydrophilic spacer showed a lower CMC in comparison with the corresponding GSs containing a hydrophobic spacer group [32]. The solubility of the GSs in normal and high saline water was achieved by adding a sufficient number of ethoxy units [33].…”

Section: Introductionmentioning

confidence: 99%

Poly(Oxyethylene)-Amidoamine Based Gemini Cationic Surfactants for Oilfield Applications: Effect of Hydrophilicity of Spacer Group

2020

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Thermal stability, salt tolerance, and solubility in normal and high salinity brine are the major requirements for any surfactant designed for oilfield applications because the surfactant stays in a non-ambient environment inside the reservoir for a long period of time. Herein, a series of new gemini cationic surfactants (GSs) with varying spacer hydrophilicity were synthesized and elucidated using MALDI-ToF-MS, NMR (1H, 13C), as well as FTIR spectroscopy. GSs found to be soluble in normal as well as high salinity brine and aqueous stability tests revealed that GSs possess the ability to retain their structural integrity at high salinity and high temperature conditions because no suspension formation or precipitation was detected in the oven aged sample of GSs at 90 °C for 30 days. Thermal gravimetric analysis displayed a higher decomposition temperature than the real reservoir temperature and the GS with a secondary amine spacer exhibited high heat stability. The significant reduction in surface tension and critical micelle concentration was observed using 1 M NaCl solution in place of deionized water. The difference in surface tension and critical micelle concentration was insignificant when the 1 M NaCl solution was replaced with seawater. The synthesized surfactants can be utilized for oilfield applications in a challenging high temperature high salinity environment.

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An interplay between spacer nature and alkyl chain length on aqueous micellar properties of cationic Gemini surfactants: A multi-technique approach

Cited by 23 publications

References 69 publications

Surface and thermal properties of synthesized cationic poly(ethylene oxide) gemini surfactants: the role of the spacer

Surface and thermal properties of synthesized cationic poly(ethylene oxide) gemini surfactants: the role of the spacer

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Poly(Oxyethylene)-Amidoamine Based Gemini Cationic Surfactants for Oilfield Applications: Effect of Hydrophilicity of Spacer Group

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