Literature DB >> 22265231

A model for monomer and micellar concentrations in surfactant solutions: application to conductivity, NMR, diffusion, and surface tension data.

Wajih Al-Soufi1, Lucas Piñeiro, Mercedes Novo.   

Abstract

An empirical model for the concentrations of monomeric and micellized surfactants in solution is presented as a consistent approach for the quantitative analysis of data obtained with different experimental techniques from surfactant solutions. The concentration model provides an objective definition of the critical micelle concentration (cmc) and yields precise and well defined values of derived physical parameters. The use of a general concentration model eliminates subjective graphical procedures, reduces methodological differences, and thus allows one to compare directly the results of different techniques or to perform global fits. The application and validity of the model are demonstrated with electrical conductivity, surface tension, NMR chemical shift, and self-diffusion coefficient data for the surfactants SDS, CTAB, DTAB, and LAS. In all cases, the derived models yield excellent fits of the data. It is also shown that there is no need to assume the existence of different premicellar species in order to explain the chemical shifts and self-diffusion coefficients of SDS as claimed recently by some authors.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22265231     DOI: 10.1016/j.jcis.2011.12.037

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  8 in total

1.  Determination of the Critical Micelle Concentration of Neutral and Ionic Surfactants with Fluorometry, Conductometry, and Surface Tension-A Method Comparison.

Authors:  Norman Scholz; Thomas Behnke; Ute Resch-Genger
Journal:  J Fluoresc       Date:  2018-01-13       Impact factor: 2.217

2.  Modular Fabrication of Intelligent Material-Tissue Interfaces for Bioinspired and Biomimetic Devices.

Authors:  John R Clegg; Angela M Wagner; Su Ryon Shin; Shabir Hassan; Ali Khademhosseini; Nicholas A Peppas
Journal:  Prog Mater Sci       Date:  2019-07-17

3.  Strategies to improve micelle stability for drug delivery.

Authors:  Yang Lu; Ershuai Zhang; Jianhai Yang; Zhiqiang Cao
Journal:  Nano Res       Date:  2018-08-01       Impact factor: 8.897

4.  Conformational transition of a non-associative fluorinated amphiphile in aqueous solution. II. Conformational transition vs. supramolecular assembly.

Authors:  Marc B Taraban; Daniel J Deredge; Margaret E Smith; Katharine T Briggs; Yue Feng; Yu Li; Zhong-Xing Jiang; Patrick L Wintrode; Yihua Bruce Yu
Journal:  RSC Adv       Date:  2019-01-14       Impact factor: 3.361

5.  Mechanism of the Micellar Solubilization of Curcumin by Mixed Surfactants of SDS and Brij35 via NMR Spectroscopy.

Authors:  Xiao Zhan; Zhaoxia Wu; Zhong Chen; Xiaohong Cui
Journal:  Molecules       Date:  2022-08-08       Impact factor: 4.927

6.  Impact of sphingosine and acetylsphingosines on the aggregation and toxicity of metal-free and metal-treated amyloid-β.

Authors:  Yelim Yi; Yuxi Lin; Jiyeon Han; Hyuck Jin Lee; Nahye Park; Geewoo Nam; Young S Park; Young-Ho Lee; Mi Hee Lim
Journal:  Chem Sci       Date:  2020-12-17       Impact factor: 9.825

7.  Critical aggregation concentration for the formation of early Amyloid-β (1-42) oligomers.

Authors:  Mercedes Novo; Sonia Freire; Wajih Al-Soufi
Journal:  Sci Rep       Date:  2018-01-29       Impact factor: 4.379

8.  Surfactant Self-Assembling and Critical Micelle Concentration: One Approach Fits All?

Authors:  Diego Romano Perinelli; Marco Cespi; Nicola Lorusso; Giovanni Filippo Palmieri; Giulia Bonacucina; Paolo Blasi
Journal:  Langmuir       Date:  2020-05-18       Impact factor: 3.882

  8 in total

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