Transport and Retention of Colloids in Porous Media: Does Shape Really Matter?

Seymour, Megan; Chen, Gexin; Su, Chunming; Li, Yusong

doi:10.1021/es4016124

Cited by 39 publications

(56 citation statements)

References 46 publications

(88 reference statements)

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“…More deposition of spherical colloids compared to rod-shaped colloids under favorable attachment conditions was reported from a quartz microbalance study (Seymour et al, 2013). Less rod-shaped particles were deposited under favorable conditions because greater hydrodynamic forces and torques counterbalance greater attractive forces of rod vs. spherical shaped particles (Seymour et al, 2013). However, less deposition of spherical colloids compared to rodshaped colloids was found for colloid transport under unfavorable attachment conditions in a porous medium made of glass beads.…”

Section: Introductionmentioning

confidence: 99%

“…Only few studies have been reported where the effect of colloid shape on colloid transport in porous media was investigated explicitly (Weiss et al, 1995;Salerno et al, 2006;Xu et al, 2008;Liu et al, 2010;Seymour et al, 2013), all of which were conducted with saturated porous media. Salerno et al (2006) compared the transport of spherical (1 µm diameter) and rod-shaped particles (made by stretching the spherical particles) in a medium made of glass beads.…”

Section: Introductionmentioning

confidence: 99%

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Transport of barrel and spherical shaped colloids in unsaturated porous media

Knappenberger

Aramrak

Flury

2015

Journal of Contaminant Hydrology

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Model colloids are usually spherical, but natural colloids have irregular geometries. Transport experiments of spherical colloids may not reflect the transport characteristics of natural colloids in porous media. We investigated saturated and unsaturated transport of colloids with spherical and angular shapes under steady-state, flow conditions. A pulse of negatively-charged colloids was introduced into a silica sand column at three different effective water saturations (Se = 0.31, 0.45, and 1.0). Colloids were introduced under high ionic strength of [106]mM to cause attachment to the secondary energy minimum and later released by changing the pore water to low ionic strength. After the experiment, sand was sampled from different depths (0, -4, and -11 cm) for scanning electron microscopy (SEM) analysis and colloid extraction. Water saturation affected colloid transport with more retention under low than under high saturation. Colloids were retained and released from a secondary energy minimum with more angular-shaped colloids being retained and released. Colloids extracted from the sand revealed highest colloid deposition in the top layer and decreasing deposition with depth. Pore straining and grain-grain wedging dominated colloid retention.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transport of barrel and spherical shaped colloids in unsaturated porous media

Knappenberger

Aramrak

Flury

2015

Journal of Contaminant Hydrology

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“…In a study of colloid retention in porous media for spherical and rod-shaped particles, Seymour et al 20 identified differences between particle-surface interaction energies, when the rod-shaped particles were oriented side-on vs. end-on with respect to the collector surface. While our model neglects any long-range particle-membrane interactions, the biased distribution of orientation angles predicted from our model and the results reported by Seymour et al 20 indicates that particle alignment may be important in particle attachment in environmental separations.…”

Section: Rejection Coefficientsmentioning

confidence: 99%

“…15 We, and others, have been interested in the effect of bacterial shape and flexibility on rejections from membrane filters. [19][20][21] It has been demonstrated that particle size, shape, and surface properties can play a role in nanoparticle separations and in their detection and environmental fate. 14,16 The impact of particle shape on transport in porous media and in attachment to environmentally relevant surfaces has also been studied.…”

Section: Introductionmentioning

confidence: 99%

“…14,16 The impact of particle shape on transport in porous media and in attachment to environmentally relevant surfaces has also been studied. [19][20][21] It has been demonstrated that particle size, shape, and surface properties can play a role in nanoparticle separations and in their detection and environmental fate. 22,23 The rejection coefficient is a transport parameter characterizing solute rejection from a porous membrane and is defined by considering particle flux through the membrane, N s , relative to particle flux in an unbounded fluid: 24…”

Section: Introductionmentioning

confidence: 99%

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The effect of particle rotation on the motion and rejection of capsular particles in slit pores

2018

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The results from a two‐dimensional computational model describing the motion of capsule‐shaped particles in a slit pore under small Re conditions are reported. Average particle velocities and particle rejection coefficients were determined for capsules with aspect ratios of 2 and 4. Two different approaches were used to characterize particle rotation and hydrodynamic particle‐pore wall interactions. In one approach, all sterically allowed particle orientation angles had equal probability, i.e., infinite rotational diffusion was assumed. In the second approach, particles were allowed to freely rotate in the pore; particle orientations were dictated by hydrodynamic forces acting on the particle surface and rotational particle diffusion was neglected. Minimal lateral migration across the pore was observed for the freely rotating particles. Although particle alignment was observed for the freely rotating particles, rejections predicted from the two approaches were found to be in close agreement. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2828–2836, 2018

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Parameterization and prediction of nanoparticle transport in porous media: A reanalysis using artificial neural network

Babakhani

Bridge

Doong

et al. 2017

Water Resources Research

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The continuing rapid expansion of industrial and consumer processes based on nanoparticles (NP) necessitates a robust model for delineating their fate and transport in groundwater. An ability to reliably specify the full parameter set for prediction of NP transport using continuum models is crucial. In this paper we report the reanalysis of a data set of 493 published column experiment outcomes together with their continuum modeling results. Experimental properties were parameterized into 20 factors which are commonly available. They were then used to predict five key continuum model parameters as well as the effluent concentration via artificial neural network (ANN)-based correlations. The Partial Derivatives (PaD) technique and Monte Carlo method were used for the analysis of sensitivities and model-produced uncertainties, respectively. The outcomes shed light on several controversial relationships between the parameters, e.g., it was revealed that the trend of K att with average pore water velocity was positive. The resulting correlations, despite being developed based on a ''black-box'' technique (ANN), were able to explain the effects of theoretical parameters such as critical deposition concentration (CDC), even though these parameters were not explicitly considered in the model. Porous media heterogeneity was considered as a parameter for the first time and showed sensitivities higher than those of dispersivity. The model performance was validated well against subsets of the experimental data and was compared with current models. The robustness of the correlation matrices was not completely satisfactory, since they failed to predict the experimental breakthrough curves (BTCs) at extreme values of ionic strengths. Plain Language Summary Models based on advection-dispersion-equation (ADE), have succeeded in describing a variety of nanoparticle (NP) transport mechanisms within subsurface porous media. These models are usually fitted against known observation data to obtain the unknown parameters. Nevertheless, the parameters determined in this way cannot be used for a new problem of the same type and again there exists the need for the data to calibrate the model parameters for a new problem. Black box models, such as artificial neural network (ANN), have been mostly, if not all the times, used in the same way of ADE models, i.e., single problem solver. In this paper we use the ability of ANN to develop a series of simple correlation matrices that can be easily used for the prediction of ADE parameters in the new problem without the need for additional calibration. Although comparisons between ANN model predictions and experimental data show that there is still further work to be done, our approach out-performs other comparable models and offers new insight into the complex interactions among the factors determining NP transport and fate in the environment.

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Transport and Retention of Colloids in Porous Media: Does Shape Really Matter?

Cited by 39 publications

References 46 publications

Transport of barrel and spherical shaped colloids in unsaturated porous media

Transport of barrel and spherical shaped colloids in unsaturated porous media

The effect of particle rotation on the motion and rejection of capsular particles in slit pores

Parameterization and prediction of nanoparticle transport in porous media: A reanalysis using artificial neural network

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