Interface of AOT/Brij mixed reverse micellar systems: Conductometric and spectrophotometric investigations

Chatterjee, Sabyasachi; Mitra, Rajib Kumar; Paul, Bidyut K.; Bhattacharya, Sumanta

doi:10.1016/j.jcis.2005.12.061

Cited by 31 publications

(21 citation statements)

References 36 publications

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“…This is possible if ACN enter into the RM interface of DDAB by ion‐dipole interaction forming a sparse interface which is less susceptible to accommodate HCM molecule. Thus HCM preferably resides on the pseudo RM phase and hence the rate of change in absorbance decreases . The blue shift in absorption maximum with increase in ACN concentration is due to the decrease in the local polarity around the HCM in RM medium.…”

Section: Resultsmentioning

confidence: 97%

“…In continuation of our interest in the microenvironmental characterization of aqueous and non‐aqueous RMs, we herein report the absorption characteristics of the dye 7‐hydroxycoumarin (HCM) (Figure A) in mixed compositions of bulk polar solvent and RMs at similar binary solvent compositions. HCM is widely used as a polarity indicator in various RM media ,. HCM is insoluble in hydrocarbon and sparingly soluble in water .…”

Section: Resultsmentioning

confidence: 99%

“…HCM is widely used as a polarity indicator in various RM media ,. HCM is insoluble in hydrocarbon and sparingly soluble in water . It is soluble in hydrocarbons in presence of DDAB.…”

Section: Resultsmentioning

confidence: 99%

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Experimental and Theoretical Efforts to Identify the Microstructural Transition of Water to Acetonitrile‐Based Reverse Micelle through Binary Compositions of Polar Solvents

et al. 2017

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The present report was undertaken due to the scarcity of information regarding the microstructural transition from aqueous to acetonitrile (ACN)‐based non‐aqueous reverse micelles (RMs) stabilized by cationic didodecyldimethylammonium bromide (DDAB) and anionic sodium bis(2‐ethylhexyl) sulfosuccinate (AOT) in cyclohexane. The synergistic solubilization capacity of corresponding polar solvent at a fixed composition and the nature of conductance plots in these RMs were markedly varied along with the composition of binary solvents (water and ACN at pure or mixed states) and the surfactant charge types (DDAB and AOT). The structural alteration in these RMs through water‐ and ACN‐rich compositions were studied by FTIR, where the results were explained in terms of molecular states of water and ACN inside RMs. The differential binding affinity of both polar solvents with the two surfactants was shown using ab initio calculations. The subsequent appearance and disappearance of aqueous nano‐pool was verified from UV‐Vis technique using CoCl2. The lack of H‐bonding ability on going from aqueous to ACN‐based RMs was evidenced from the temperature‐dependent DLS study along with the absorption profiles of 7‐hydroxycoumarin. The results showed how the microstructures and H‐bonding interactions inside RMs are dramatically altered by simply changing polarity of the solvents or the surfactant charge‐types. This report could be useful to understand the formation mechanism of two class of RMs.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

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Experimental and Theoretical Efforts to Identify the Microstructural Transition of Water to Acetonitrile‐Based Reverse Micelle through Binary Compositions of Polar Solvents

et al. 2017

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“…38 Studies of the AOT/Brij mixed RM systems has shown that the addition of nonionic surfactants with large head groups (Brij‐56, Brij‐30, Brij‐76) to an AOT/Isooctane system results in a phase separation at smaller water content values compared with AOT/Isooctane systems, thus decreasing the solubilization capacity of AOT‐Brij/Isooctane RM systems. 39 The radius of the water pool was also determined from the water content values, and it was seen that the maximum size of the AOT/Isooctane and AOT‐Brij‐30/Isooctane RM at the highest water content (32) and (28) was around 4.8 and 4.2 nm, respectively. The radius of IgG is ∼5.5 nm, 40 which means that it may not be possible to solubilize the large IgG1 molecule into a single AOT RM.…”

Section: Resultsmentioning

confidence: 99%

Extraction of monoclonal antibodies (IgG1) using anionic and anionic/nonionic reverse micelles

George

Stuckey

2010

Biotechnology Progress

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Purification schemes for antibody production based on affinity chromatography are trying to keep pace with increases in cell culture expression levels and many current research initiatives are focused on finding alternatives to chromatography for the purification of Monoclonal antibodies (MAbs). In this article, we have investigated an alternative separation technique based on liquid-liquid extraction called the reverse micellar extraction. We extracted MAb (IgG1) using reverse micelles of an anionic surfactant, sodium bis 2-ethyl-hexyl sulfosuccinate (AOT) and a combination of anionic (AOT) and nonionic surfactants (Brij-30, Tween-85, Span-85) using isooctane as the solvent system. The extraction efficiency of IgG1 was studied by varying parameters, such as pH of the aqueous phase, cation concentration, and type and surfactant concentration. Using the AOT/Isooctane reverse micellar system, we could achieve good overall extraction of IgG1 (between 80 and 90%), but only 30% of the bioactivity of IgG1 could be recovered at the end of the extraction by using its binding to affinity chromatography columns as a surrogate measure of activity. As anionic surfactants were suspected as being one of the reasons for the reduced activity, we decided to combine a nonionic surfactant with an anionic surfactant and then study its effect on the extraction efficiency and bioactivity. The best results were obtained using an AOT/Brij-30/Isooctane reverse micellar system, which gave an overall extraction above 90 and 59% overall activity recovery. An AOT/Tween-85/Isooctane reverse micellar system gave an overall extraction of between 75 and 80% and overall activity recovery of around 40-45%. The results showed that the activity recovery of IgG1 can be significantly enhanced using different surfactant combination systems, and if the recovery of IgG1 can be further enhanced, the technique shows considerable promise for the downstream purification of MAbs.

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“…Internal dynamics of microemulsions has been largely studied, especially on the phenomenon of electrical percolation [1][2][3][4]. Electrical percolation is characterized by an increment in electrical conductivity when the temperature, or the volume fraction of the dispersed phase, reaches a critical value [5].…”

Section: Introductionmentioning

confidence: 99%

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.

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Interface of AOT/Brij mixed reverse micellar systems: Conductometric and spectrophotometric investigations

Cited by 31 publications

References 36 publications

Experimental and Theoretical Efforts to Identify the Microstructural Transition of Water to Acetonitrile‐Based Reverse Micelle through Binary Compositions of Polar Solvents

Experimental and Theoretical Efforts to Identify the Microstructural Transition of Water to Acetonitrile‐Based Reverse Micelle through Binary Compositions of Polar Solvents

Extraction of monoclonal antibodies (IgG1) using anionic and anionic/nonionic reverse micelles

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

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