2021
DOI: 10.1016/j.molliq.2021.116955
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Temporally persistent networks of long-lived mixed wormlike micelles of zwitterionic and anionic surfactants

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Cited by 26 publications
(21 citation statements)
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“…From SANS curve (Fig. 4) one can see that at low q region the intensity decreases as q -1 that confirms the formation of WLMs in the solution [3]. From the middle part of the scattering curve the local shape and size of the micelles can be obtained [17].…”
Section: Surfactant Concentration Dependenciesmentioning
confidence: 60%
See 1 more Smart Citation
“…From SANS curve (Fig. 4) one can see that at low q region the intensity decreases as q -1 that confirms the formation of WLMs in the solution [3]. From the middle part of the scattering curve the local shape and size of the micelles can be obtained [17].…”
Section: Surfactant Concentration Dependenciesmentioning
confidence: 60%
“…The powerful approach to analyze WLMs networks structure via rheological data, SANS and cryo-TEM have been developed during last decades and applied mostly to ionic surfactant WLMs solutions. The hydrophobic tail length provides long length to WLMs because of strong influence of hydrophobic interactions on the aggregation number [3,14]. At the high salt content, the crucial drop of a viscosity and relaxation time are observed [13,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Prior to each measurement, the samples were equilibrated for 10 min after loading in the cell. The details of the measurements are described elsewhere [ 33 , 34 , 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…The molecular self-assembly of surfactants based on noncovalent interactions provides a powerful tool for the creation of well-defined structures of certain dimensions, such as vesicles, rods, disks, and wormlike micelles (WLMs) [1]. It is well known that surfactants with relatively long tail can self-assemble into long, flexible, cylindrical chains (WLMs) with contour lengths of a few micrometers at certain conditions [2][3][4][5]. The soft transient networks based on WLMs of the surfactants attract great attention because of their responsive viscoelastic properties and easy way of preparation [6].…”
Section: Introductionmentioning
confidence: 99%
“…Powerful approaches to analyze WLMs networks structure via rheological data, SANS, and cryo-TEM have been developed during last few decades and applied mostly to ionic surfactant WLMs solutions. The large hydrophobic tail length provides long WLMs because of strong influence of hydrophobic interactions on the aggregation number [3,12]. At the high salt content, the crucial drop of a viscosity and relaxation time are observed [13,19,20].…”
Section: Introductionmentioning
confidence: 99%