Pitting Inhibition by Surfactants

Wei, Zhongyong; Somasundaran, P.; Duby, Paul

doi:10.1149/1.1710517

Cited by 16 publications

(20 citation statements)

References 40 publications

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“…This is consistent with the rather small value of exchange current that we derived above. In the literature [45], the increases in cathodic peak current and potential with scan rate were also observed on cyclic voltammograms of arsenic deposited on a Pt RDE. But in their work the linear relationships of these variables cannot be derived from their cyclic voltammograms.…”

Section: Cyclic Voltammetry At Different Scan Ratesmentioning

confidence: 76%

The electrochemical reaction mechanism of arsenic deposition on an Au(111) electrode

Jia

Simm

Xuan

et al. 2006

Journal of Electroanalytical Chemistry

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Section: Cyclic Voltammetry At Different Scan Ratesmentioning

confidence: 76%

The electrochemical reaction mechanism of arsenic deposition on an Au(111) electrode

Jia

Simm

Xuan

et al. 2006

Journal of Electroanalytical Chemistry

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“…8,9 Interactions of surfactants with metallic surfaces have become important in the production of nanoparticles. [10][11][12] Traditionally, the adsorption behavior of surfactants has been studied by depletion methods [13][14][15][16][17][18] and streaming potential techniques.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] Traditionally, the adsorption behavior of surfactants has been studied by depletion methods [13][14][15][16][17][18] and streaming potential techniques. 16,19 More recently, experimental efforts applying ellipsometry, [20][21][22] optical reflectometry, 23,24 electrochemical methods, 9 quartz crystal microbalances, 25 and Fourier transform infrared spectroscopy 26 have added information about the dynamic properties of surfactant adsorption. Fluorescence decay, 27 neutron reflection, 28 and grazing-incidence small-angle neutron scattering techniques 29 have provided general information about the length scales of the surface aggregates, and microcalorimetry [30][31][32][33][34] has been used to determine the corresponding heats of adsorption.…”

Section: Introductionmentioning

confidence: 99%

Surfactant Aggregates at Rough Solid−Liquid Interfaces

et al. 2007

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We demonstrate improved atomic force microscopic imaging of surfactant surface aggregates, featuring an increase in the topography contrast by several hundred percent with respect to all previous studies. Surfactant aggregates on rough gold surfaces, which could not be imaged previously because of low resolution, display substantially different morphologies when compared with atomically smooth materials.

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confidence: 99%

Self-Healing of Surfactant Surface Micelles on Millisecond Time Scales

2006

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Micellar coatings of surfactants at solid-liquid interfaces can provide colloidal stability, 1,2 corrosion inhibition, 3 and boundary lubrication. [4][5][6] Understanding the dynamics of such coatings is necessary to the optimization of self-healing, a characteristic of micellar structures. Self-healing rates that are sufficient to counter the rate of defect formation due to physical or chemical attack are required for successful engineering applications. Although some dynamic parameters of bulk and surface processes have been reported, 7-10 the time scale for micellar surface self-assembly remains unknown. In this work, we present a novel atomic force microscopy (AFM) technique that allows us to visualize this selfhealing process over millisecond time scales at nanometer spatial resolution. No traditional technique used to detect surface adlayers, including neutron reflectometry, 11 optical reflectometry, 12,13 ellipsometry, 14 and Fourier transform infrared spectroscopy (FTIR) 10 combines such high temporal and spatial resolutions. Using our new method, we show that nanometer-sized defects in a crystalline array of surface micelles recover flawlessly in less than ∼6 ms.The highly ordered, self-assembled micellar structures formed by surfactants at the solid-liquid interface were first revealed by AFM. [15][16][17] Depending on the surfactant/surface combination, different morphologies such as full or half spherical and cylindrical micelles were found, often organized into large crystalline arrays of surface micelles. Since typical AFM acquisition times are on the order of minutes, these studies treated such aggregates as seemingly static, neglecting their dynamic behavior 18 at different time scales. While the lateral diffusion rates of individual surfactants within flat surfactant layers are known, 19,20 the actual aggregation of molecules into micelles and their organization into micellar crystals are potentially much slower. 21 Similarly, in bulk surfactant solutions the exchange time of surfactant monomers between micellar aggregates and the solvent, τ 1,bulk (micro-to milliseconds) is much faster than the formation time of an entire micelle from individual molecules and the corresponding disintegration time, τ 2,bulk (milliseconds). 7-9 Using AFM force-displacement curves at different approach frequencies, Clark and Ducker suggested that the reorganization of surfactants on a silica surface may occur within times as short as 20 ms. 10 However, since the force-displacement method does not provide images, it is impossible to know if the micellar film was punctured or only compressed. Thus, their results cannot be used to draw definite conclusions on how fast surfactants self-assemble into micellar arrays on surfaces. With our technique, the AFM tip demonstrably pierces the surfactant adlayer, thereby imaging the lattice of the underlying substrate (Figure 1). Using the same tip, we simultaneously image the micellar structure of the adlayer on the substrate and thus are able to immediately monitor the adlaye...

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Pitting Inhibition by Surfactants

Cited by 16 publications

References 40 publications

The electrochemical reaction mechanism of arsenic deposition on an Au(111) electrode

The electrochemical reaction mechanism of arsenic deposition on an Au(111) electrode

Surfactant Aggregates at Rough Solid−Liquid Interfaces

Self-Healing of Surfactant Surface Micelles on Millisecond Time Scales

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