Literature DB >> 16290329

Importance of micellar kinetics in relation to technological processes.

Alexander Patist1, James R Kanicky, Pavan K Shukla, Dinesh O Shah.   

Abstract

The association of many classes of surface-active molecules into micellar aggregates is a well-known phenomenon. Micelles are in dynamic equilibrium, constantly disintegrating and reforming. This relaxation process is characterized by the slow micellar relaxation time constant, tau(2), which is directly related to the micellar stability. Theories of the kinetics of micelle formation and disintegration have been discussed to identify the gaps in our complete understanding of this kinetic process. The micellar stability of sodium dodecyl sulfate micelles has been shown to significantly influence technological processes involving a rapid increase in interfacial area, such as foaming, wetting, emulsification, solubilization, and detergency. First, the available monomers adsorb onto the freshly created interface. Then, additional monomers must be provided by the breakup of micelles. Especially when the free monomer concentration is low, which is the case for many nonionic surfactant solutions, the micellar breakup time is a rate-limiting step in the supply of monomers. The Center for Surface Science & Engineering at the University of Florida has developed methods using stopped flow and pressure jump with optical detection to determine the slow relaxation time of micelles of nonionic surfactants. The results showed that the ionic surfactants such as SDS exhibit slow relaxation times in the range from milliseconds to seconds, whereas nonionic surfactants exhibit slow relaxation times in the range from seconds (for Triton X-100) to minutes (for polyoxyethylene alkyl ethers). The slow relaxation times are much longer for nonionic surfactants than for ionic surfactants, because of the absence of ionic repulsion between the head groups. The observed relaxation times showed a direct correlation with dynamic surface tension and foaming experiments. In conclusion, relaxation time data of surfactant solutions correlate with the dynamic properties of the micellar solutions. Moreover, the results suggest that appropriate micelles with specific stability or tau(2) can be designed by controlling the surfactant structure, concentration, and physicochemical conditions (e.g., salt concentration, temperature, and pressure). One can also tailor micelles by mixing anionic/cationic or ionic/nonionic surfactants for a desired stability to control various technological processes.

Entities:  

Year:  2002        PMID: 16290329     DOI: 10.1006/jcis.2001.7955

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


  15 in total

1.  Identification of PCR products using PNA amphiphiles in micellar electrokinetic chromatography.

Authors:  Shane T Grosser; Jeffrey M Savard; James W Schneider
Journal:  Anal Chem       Date:  2007-11-20       Impact factor: 6.986

2.  Unraveling the Differential Aggregation of Anionic and Nonionic Monorhamnolipids at Air-Water and Oil-Water Interfaces: A Classical Molecular Dynamics Simulation Study.

Authors:  Elango Munusamy; Charles M Luft; Jeanne E Pemberton; Steven D Schwartz
Journal:  J Phys Chem B       Date:  2018-06-12       Impact factor: 2.991

3.  Aggregate-based sub-CMC Solubilization of Hexadecane by Surfactants.

Authors:  Hua Zhong; Lei Yang; Guangming Zeng; Mark L Brusseau; Yake Wang; Yang Li; Zhifeng Liu; Xingzhong Yuan; Fei Tan
Journal:  RSC Adv       Date:  2015-09-04       Impact factor: 3.361

4.  Modeling and Global Optimization of DNA separation.

Authors:  Max A Fahrenkopf; B Erik Ydstie; Tamal Mukherjee; James W Schneider
Journal:  Comput Chem Eng       Date:  2014-05-07       Impact factor: 3.845

5.  Structural Properties of Nonionic Monorhamnolipid Aggregates in Water Studied by Classical Molecular Dynamics Simulations.

Authors:  Elango Munusamy; Charles M Luft; Jeanne E Pemberton; Steven D Schwartz
Journal:  J Phys Chem B       Date:  2017-06-05       Impact factor: 2.991

6.  Effect of surfactant mixtures on skin structure and barrier properties.

Authors:  Monica A James-Smith; Brittney Hellner; Nancy Annunziato; Samir Mitragotri
Journal:  Ann Biomed Eng       Date:  2010-11-10       Impact factor: 3.934

7.  Aggregate-based sub-CMC Solubilization of n-Alkanes by Monorhamnolipid Biosurfactant.

Authors:  Hua Zhong; Xin Yang; Fei Tan; Mark L Brusseau; Lei Yang; Zhifeng Liu; Guangming Zeng; Xingzhong Yuan
Journal:  New J Chem       Date:  2015-12-07       Impact factor: 3.591

8.  Fluorescence imaging enabled biodegradable photostable polymeric micelles.

Authors:  Dipendra Gyawali; Shengyuan Zhou; Richard T Tran; Yi Zhang; Chao Liu; Xiaochun Bai; Jian Yang
Journal:  Adv Healthc Mater       Date:  2013-08-26       Impact factor: 9.933

9.  Membrane Interaction of the Glycosyltransferase WaaG.

Authors:  Jobst Liebau; Pontus Pettersson; Scarlett Szpryngiel; Lena Mäler
Journal:  Biophys J       Date:  2015-08-04       Impact factor: 4.033

10.  In situ solid-state NMR study of antimicrobial peptide interactions with erythrocyte membranes.

Authors:  Kiran Kumar; Mathew Sebastiao; Alexandre A Arnold; Steve Bourgault; Dror E Warschawski; Isabelle Marcotte
Journal:  Biophys J       Date:  2022-03-09       Impact factor: 3.699

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