Effects of pore size distribution and coordination number on the prediction of filtration coefficients for straining from percolation theory

Effect of low‐concentration rhamnolipid biosurfactant on Pseudomonas aeruginosa transport in natural porous media

“…It also possesses high particle angularity and surface roughness as demonstrated by SEM images (supporting information Figure S2B). Such features have been observed to result in enhanced retention through significantly higher straining potential [ Bradford et al ., ; Díaz et al ., ; Ding et al ., ; Santamaría et al ., ; Tufenkji et al ., ]. In addition, the surface roughness may also increase the collision efficiency and decrease electrostatic repulsion energy barriers between cells and porous media, and thus enhance cell deposition [ Hoek et al ., ; Santamaría et al ., ; Shellenberger and Logan , ].…”

“…In addition, the soil has much rougher surfaces (supporting information Figure S2C), and significantly higher specific surface area and organic matter content (Table ) than the sand. Such properties may result in elevated adsorption capacity [ Dai and Hozalski , ; Hoek et al ., ; Parent and Velegol , ; Shellenberger and Logan , ] and enhanced straining potential for bacterial cells [ Bradford and Bettahar , ; Bradford et al ., ; Díaz et al ., ; Ding et al ., ; Santamaría et al ., ; Tufenkji et al ., ], which are responsible for the nearly complete retention of cells in the soil. Despite the great retention potential of the soil, breakthrough of the cells is still observed in the presence of rhamnolipid at a concentration of 40 mg/L (Figure ), with a reduction of retention rate from >99% to 97% and an increase of recovery from ∼1% to 5% (Table ).…”

“…During the bacterial transport process, retention of bacteria may take place due to straining and/or attachment to solid surfaces. The extent to which bacteria are retained by straining depends on the ratio of the bacteria to porous medium grain diameters, the shape and size irregularity and surface roughness of porous media, the rate of water flow, and bacterial concentration [ Bradford and Bettahar , ; Bradford et al ., ; Díaz et al ., ; Ding et al ., ; Santos and Barros , ; Stevik et al ., ; Tufenkji et al ., ]. The attachment of bacteria is affected by a number of factors, including the surface charges of both the porous media and the bacteria, the cell surface hydrophobicity (CSH), the composition of the cell surface (e.g., lipopolysaccharide, extracellular polymeric substances, outer membrane proteins, flagella, and fimbriae), physical and geochemical properties of the solid surfaces, and groundwater chemistry (e.g., ionic strength, pH, dissolved organic matter (DOM), etc.)…”

The prediction of particle size distribution for the effluent polydisperse particle in staining-dominate deep bed filtration process

“…The specific simulation method is similar to that in Ref [23,24] ., except that the original monodisperse particle size is replaced by the polydisperse particles determined by the particle size distribution function of f (r s ) the influent particle. In this work, we briefly review the procedure of establishing numerical DBF network model.…”

“…Hao et al [23] applied percolation theory and random walk in a 2D square network to study staining-dominate DBF; this study proposed two particle capture mechanisms and two power-laws that describe the relationship between the fractions of flow through the small pores and the filtration coefficient. Our previous studies [24][25][26] investigated the effects of coordination number, capture scheme, and pore size distribution (PSD) on simulation of straining-dominant DBF in 2D networks. The results verify that the two parameters of PSD significantly influence the simulation of power law and the experimental calculation of exponents.…”