2019
DOI: 10.1016/j.watres.2018.12.029
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Interactions between nanoparticles and fractal surfaces

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Cited by 33 publications
(14 citation statements)
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“…Furthermore, colloid release with IS reduction from a deep primary minimum from charge heterogeneity on a smooth grain surface is not possible due to an increase in the energy barrier (Shen et al, 2018). Conversely, colloid release with IS reduction may occur from shallow primary minima that happen on tops of nanoscale roughness asperities like pillars (Shen et al, 2018) or fractal surfaces (Shen et al, 2018;Wang et al, 2019), but not from concave locations between roughness asperities because attachment (in primary minima) is irreversible to IS reduction in these valley areas (Li et al, 2017;Wang et al, 2019). The difference in the AgNP release with IS reduction apparently reflects retention on asperities with a shallower primary minimum on the smoother GF sand than the rougher QW sand, e.g., GF sand may contain a smaller roughness fraction or more nanoscale asperities (Wang et al, 2019) than the rougher QW sand.…”
Section: Release Of Retained Agnps From Quartz Sands With Different Rmentioning
confidence: 99%
“…Furthermore, colloid release with IS reduction from a deep primary minimum from charge heterogeneity on a smooth grain surface is not possible due to an increase in the energy barrier (Shen et al, 2018). Conversely, colloid release with IS reduction may occur from shallow primary minima that happen on tops of nanoscale roughness asperities like pillars (Shen et al, 2018) or fractal surfaces (Shen et al, 2018;Wang et al, 2019), but not from concave locations between roughness asperities because attachment (in primary minima) is irreversible to IS reduction in these valley areas (Li et al, 2017;Wang et al, 2019). The difference in the AgNP release with IS reduction apparently reflects retention on asperities with a shallower primary minimum on the smoother GF sand than the rougher QW sand, e.g., GF sand may contain a smaller roughness fraction or more nanoscale asperities (Wang et al, 2019) than the rougher QW sand.…”
Section: Release Of Retained Agnps From Quartz Sands With Different Rmentioning
confidence: 99%
“…The effect of surface morphology on the nature of interparticle and particle-surface interactions has been extensively studied due to shortcomings of established model systems based on spherical particle shapes. The studies often utilize various surface roughness models, including hemispherical, conical and cylindrical protrusions and depressions, [90][91][92][93][94][95] or fractal-like [96][97][98] surface topographies, whereby generally, the introduction of topographic heterogeneities tends to weaken the DLVO interactions, resulting in a decrease in energy barrier height as well as the secondary and primary minimum depths. Due to the statistical nature of many heterogenous surface patterns, they can also locally contribute to the inversion of this tendency.…”
Section: Particle Morphology and Dlvo Interactionsmentioning
confidence: 99%
“…12,30 Furthermore, the influence of incompressible nanoscale roughness will change with the solution chemistry, the colloid size, the surface charges, and the water velocity. 12,16,28,31 Theoretical calculations have demonstrated that specific incompressible nanoscale roughness properties can greatly diminish colloid retention and aggregation, even when interactions for smooth surfaces are predicted to be favorable. 12,32 Spatial variability of incompressible roughness properties can explain why limited amounts of colloid aggregation and retention can occur.…”
Section: ■ Introductionmentioning
confidence: 99%
“…12,32 Spatial variability of incompressible roughness properties can explain why limited amounts of colloid aggregation and retention can occur. 17,31,33 Compressible roughness may also occur on natural or engineered surfaces because of the adsorption of organic compounds such as polymers, surfactants, proteins, biological exudates, and humic materials. 5 These macromolecular coatings can exhibit different configurations on a surface depending on its curvature and the adsorbed layer properties (e.g., molecular weight, adsorption density, and layer thickness).…”
Section: ■ Introductionmentioning
confidence: 99%
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