Effect of Temperature upon Electrical Conductivity of Sodium Bis(2-ethylhexyl) Sulfosuccinate + 2,2,4-Trimethylpentane + Water + Phase Transfer Catalyst

Dasilva-Carvalhal, J.; García‐Río, Luis; Gómez‐Díaz, Diego; Mejuto, J. C.; Navaza, José M.

doi:10.1021/je060162w

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…They calculated the necessary time for the production of tensioactive 'hopping' between water droplets at approximately 3 10 -6 seconds. This is the necessary time for 50Å diffusion [88][89][90].…”

Section: Kallay and Chittofratimentioning

confidence: 99%

Effects of Additives upon Percolation Temperature in AOT-Based Microemulsions

Mejuto

Morales

Moldes

et al. 2014

J. Appl. Sol. Chem. Model.

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In the present review the percolative phenomena has been analyzed. Percolation is related to transport phenomena in microemulsions, in particular the electric charge transport. The influence of different additives upon electric percolation has been commented. The effects of the additives considered upon the microemulsion properties appear to come about through their association with the surfactant interface. The effects of these agents on the ease with which interdroplet channels allowing transfer of droplet contents are formed are not only responsible for their effects on percolation temperature, but also have serious implications for the rates of fast chemical reactions performed in microemulsions.

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Section: Kallay and Chittofratimentioning

confidence: 99%

Effects of Additives upon Percolation Temperature in AOT-Based Microemulsions

Mejuto

Morales

Moldes

et al. 2014

J. Appl. Sol. Chem. Model.

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An electrical conductivity prediction simulator based on TB-QCMD and KMC. System development and applications

Tsuboi

Chutia

et al. 2009

Journal of Molecular Structure: THEOCHEM

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Influence of Amphiphiles on Percolation of AOT-Based Microemulsions Prediction Using Artificial Neural Networks

Astray¹,

Cid²,

Moldes³

et al. 2017

Properties and Uses of Microemulsions

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In this chapter, the ability of artificial neural networks was evaluated to predict the influence of amphiphiles as additive upon the electrical percolation of dioctyl sodium sulfosuccinate (AOT)/isooctane/water microemulsions. In particular, water/AOT/isooctane microemulsion behaviour has been modelled. These microemulsions have been developed in presence of 1-n-alcohols, 2-n-alcohols, n-alkylamines and n-alkyl acids. In all cases, a neural network has been obtained to predict with accuracy the experimental behaviour to identify the physico-chemical variables (such as additive concentration, molecular mass, log P, pK a or chain length) that exert a greater influence on the model. All models are valuable tools to evaluate the percolation temperature for AOT-based microemulsions.

show abstract

Effect of Temperature upon Electrical Conductivity of Sodium Bis(2-ethylhexyl) Sulfosuccinate + 2,2,4-Trimethylpentane + Water + Phase Transfer Catalyst

Cited by 3 publications

References 20 publications

Effects of Additives upon Percolation Temperature in AOT-Based Microemulsions

Effects of Additives upon Percolation Temperature in AOT-Based Microemulsions

An electrical conductivity prediction simulator based on TB-QCMD and KMC. System development and applications

Influence of Amphiphiles on Percolation of AOT-Based Microemulsions Prediction Using Artificial Neural Networks

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