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Extended DLVO interactions between spherical particles and rough surfaces.

Eric M V Hoek1, Gaurav K Agarwal

  • 1Department of Civil & Environmental Engineering, University of California, Los Angeles, 5732G Boelter Hall, PO Box 951593, Los Angeles, CA 90095-1593, USA. hoek@seas.ucla.edu

Journal of Colloid and Interface Science
|February 14, 2006
PubMed
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Nanoscale surface roughness significantly alters particle-surface interactions, creating attractive sites on repulsive surfaces. This impacts deposition processes for aquatic colloids and membranes.

Area of Science:

  • Colloid and Surface Science
  • Materials Science
  • Environmental Engineering

Background:

  • Understanding particle-surface interactions is crucial for predicting deposition in aquatic environments and membrane fouling.
  • Traditional models often simplify surfaces as smooth, neglecting the impact of nanoscale roughness.

Purpose of the Study:

  • To investigate the influence of nanoscale surface roughness on interaction energies between spherical particles and surfaces.
  • To simulate deposition conditions using properties of aquatic colloids and polymeric membranes.

Main Methods:

  • Utilized an extended DLVO theory incorporating Lifshitz-van der Waals, Lewis acid-base, and electrostatic double layer interactions.
  • Employed the surface element integration (SEI) technique and Derjaguin's integration method for energy calculations.

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  • Statistically analyzed local interaction energies to define representative profiles (minimum, average, maximum).

    • Main Results:

    • Nanoscale roughness generates a distribution of interaction energy profiles, not a single value.
    • Average interaction energy magnitude is reduced by roughness, dependent on particle size, asperity size, and density.
    • Repulsive surfaces can exhibit locally attractive sites due to nanoscale roughness.

    Conclusions:

    • Surface roughness fundamentally modifies particle-surface interactions, impacting deposition behavior.
    • SEI simulations provide a more realistic assessment of interaction energies compared to smooth surface models.
    • The findings are relevant for optimizing processes involving particle adhesion and transport in aquatic systems.