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Updated: Feb 9, 2026
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Synthesis and Characterization of Supramolecular Colloids
Published on: April 22, 2016
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Why Variant Colloid Transport Behaviors Emerge among Identical Individuals in Porous Media When Colloid-Surface
W P Johnson1, A Rasmuson1, E Pazmiño2
1Department of Geology & Geophysics , University of Utah , Salt Lake City , Utah United States.
Environmental Science & Technology
|June 12, 2018
Summary
Colloid transport in porous media is variable even under unfavorable attachment conditions. This variability stems from differing colloid residence times on grains, predictable using nanoscale heterogeneity simulations.
Area of Science:
- Environmental Science
- Colloid and Surface Science
- Geochemistry
Background:
- Colloid transport in porous media often exhibits variable behaviors.
- Unfavorable attachment conditions (colloid-collector repulsion) typically lead to complex transport patterns.
Purpose of the Study:
- To elucidate the cause of variant colloid transport behaviors under unfavorable attachment conditions.
- To establish a predictive model for colloid transport based on nanoscale heterogeneity.
Main Methods:
- Particle trajectory simulations incorporating nanoscale heterogeneity.
- Analysis of colloid residence times prior to arrest on collector grains.
- Upscaling pore-scale residence times to predict continuum-scale transport.
Main Results:
- Variable colloid transport is explained by inherent variations in colloid residence times.
- Simulations quantitatively predict hyper-exponential retention in glass beads and qualitatively predict nonmonotonic profiles in quartz sand.
- Grain angularity and contact characteristics significantly influence retention profile transitions between different porous media.
Conclusions:
- Representative nanoscale heterogeneity is crucial for quantitatively predicting colloid transport under unfavorable conditions.
- Pore-scale colloid dynamics, specifically residence times, govern continuum-scale transport behaviors.
- Understanding grain surface characteristics is key to predicting colloid retention profiles.
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