Influence of ionic strength and pH on the limitation of latex microsphere deposition sites on iron-oxide coated sand by humic acid
Highlights
► We quantified the coupled role of pH & IS and humic acid on colloid deposition. ► Humic acid enhances microsphere mobility more at higher pH and lower IS. ► pH and IS may control the behaviour of humic acid by regulating its conformation. ► The effect of pH and IS on regulating humic acid conformation is additive.
Introduction
Colloids are defined as entities with at least one dimension between 1 nm and 1 μm (IUPAC: McNaught and Wilkinson, 1997, Hofmann et al., 2003a). A wide variety of environmental particles fall into this size range including naturally generated inorganic particles (clay, oxides, minerals, and silica, etc.), viruses & bacteria (biocolloids), and anthropogenic colloids (polymeric microspheres, nanoscale zero-valent iron, etc.) (Gustafsson and Gschwend, 1997, Schijven and Hassanizadeh, 2000, Hofmann et al., 2003b, Hofmann and v.d. Kammer, 2009).
Colloids are ubiquitous in the environment and may influence environmental water quality. In a negative sense they may act as contaminants in the own right, such as pathogenic microorganisms (Schijven and Hassanizadeh, 2000, Ranville et al., 2005). Alternatively they may facilitate the transport of otherwise immobile contaminants such as highly hydrophobic substances (Hassellöv and v.d. Kammer, 2008, Mueller and Nowack, 2008, Hochella et al., 2008, Hofmann and Wendelborn, 2007). Conversely, anthropogenic colloids have been successfully employed for groundwater remediation (Kim et al., 2004, Tungittiplakorn et al., 2005, Nowack and Bucheli, 2007). The impact of colloids on water quality strongly depends upon the nature of their interactions with porous media. Consequently, improved knowledge of the physicochemical controls on colloidal mobility assists in better protecting water resources (Lecoanet et al., 2004, Karn et al., 2009, Battin et al. 2009).
Previous studies have highlighted the role of three hydrochemical parameters in affecting colloid fate and transport through porous media: (1) pH (Bunn et al., 2002, Bekhit et al., 2006, Kim et al., 2009); (2) ionic strength (Ko and Elimelech, 2000, Zhuang and Jin, 2003, Franchi and O’Melia, 2003, Tosco et al., 2009); and (3) the occurrence of natural organic matter (NOM) in solution/suspension(Akbour et al., 2002, Foppen et al., 2006, Foppen et al., 2008, Pelley and Tufenkji, 2008, Johnson et al., 2009). Since NOM is widespread in the aquatic environment (Thurman, 1985) and pH & IS may vary spatially and temporally (Young, 1988), a quantitative investigation of the influence of their interactions on colloidal mobility has implications for understanding water quality under a wide range of environmental conditions.
Humic acid (HA) constitutes of about 60% of all NOM in the environment (Ochs et al., 1994). Although widely regarded as large complex assemblages of molecules, published work often suggests that dissolved/suspended HA could be viewed in more simple terms as linearly-structured flexible polyelectrolytic macromolecules whose conformation largely depends on pH and IS (e.g., Tiller and O’Melia, 1993, Buffle and van Leeuwen, 1993, Stumm and Morgan, 1996, Vermeer et al., 1998, Au et al., 1999).
The adsorbed conformation of HA has been noted to influence colloid transport through porous media (Amirbahman and Olson, 1993, Amirbahman and Olson, 1995, Franchi and O’Melia, 2003, Pelley and Tufenkji, 2008, Chen and Elimelech, 2008, Kumpulainen et al. 2008), i.e., both the magnitude and type of the HA-colloid interaction forces are controlled by HA conformation. High pH and low ionic strength have been noted to increase lateral repulsions between negatively charged segments of HA with such increased intra-compound forces resulting in a more extended linear structure that enables it to cover a relatively large area of an adsorbing surface (Amirbahman and Olson, 1993, Amirbahman and Olson, 1995, Franchi and O’Melia, 2003, Pelley and Tufenkji, 2008, Chen and Elimelech, 2008). Conversely, lower pH and higher ionic strength reduce intra-compound electrostatic interactions, resulting in a more compact HA conformation and lower surface coverage (Buffle and van Leeuwen, 1993; Stumm and Morgan, 1996, Vermeer et al., 1998).
This paper aims to investigate and quantify how the conformation of Suwannee River Humic Acid (SRHA) may influence microsphere deposition in saturated porous media as a function of variations in solution pH and ionic strength, employing the method presented in Yang et al. (2010). This was achieved by carrying out triple pulse column experiments, for a range of solution chemical conditions, coupled with Random Sequential Adsorption (RSA) modelling to quantify the effect of both parameters on humic acid surface coverage of colloid deposition sites in the porous medium.
Study findings suggest that a slight change in pH and/or ionic strength may significantly affect the role of the adsorbed SRHA in controlling colloid transport in the porous medium. This is suspected to result from a change in the conformation of the adsorbed SRHA on the porous medium surface in response to the change in pH and IS which consequently changes the number of microsphere sites that organic matter can cover. RSA modelling and statistical analysis have permitted quantification of colloid deposition site coverage by SRHA and characterisation of the relative importance & interactions of pH and IS in controlling the SRHA’s behaviour. This study is, to the best knowledge of the authors, the first to systematically address the effects of both pH and IS in assessing HA coverage of colloid deposition sites in porous medium. The pH and IS values employed fall within the range of those encountered in naturally occurring conditions for many groundwaters and surface waters. Study findings have implications for a range of Environmental Science and Environmental Engineering fields, including enhancement of filter bed performance in water and wastewater treatment, and manipulation of humic acid for mobility enhancement of engineered polymeric nanoparticles for aquifer remediation. More generally study findings may have wider implications for environmental protection and environmental remediation, including determination of safe setback distances for groundwater supplies from sources of colloidal contaminants, e.g. septic tanks, and for oil recovery enhancement by polymer flooding.
Section snippets
Column experiments
Fig. 1 presents a schematic of the apparatus employed in all experiments. The methodology and materials employed have been described in detail in Yang et al. (2010). Table 1 summarises the composition of the liquid phases including microsphere dispersions, SRHA solutions, and flushing solutions. All the liquids had a pH6.3 or pH7.6 and an IS of 1.6 mMol or 20 mMol. This design permits investigation of the influence of both factors (pH and IS) using waters with chemistries comparable to those
Numerical modelling & quantification
Numerical modelling of microsphere breakthrough curves was carried out to quantify the number of microspheres that must be deposited in order to generate equivalent microsphere breakthrough curves (BTCs) to those generated in the TPEs following SRHA injection. A one dimensional RSA colloid transport model (Johnson and Elimelech, 1995) describing advection, dispersion, and random sequential adsorption processes simulated experimental breakthrough curves.
Colloid transport and attenuation in 1D
Experimental results and discussions
Fig. 2 summarises the BTCs of double pulse experiments employing microspheres without SRHA present. The BTC of each pulse consisted of an initial rapid rise in microsphere relative concentrations (rising limb) followed by a more gradual and sustained rise. The gradual rise in the first microsphere BTC began after the inflection point at about 6.0 ± 0.3% and ended at 8.0 ± 0.2%, and that of the second microsphere BTC began at 8.0 ± 0.3%, corresponding to the maximum level observed at the end of
Modelling results and discussions
Fig. 4 presents the RSA model curves generated employing model parameters (see Table 2) determined by fitting outputs to the first experimental microsphere BTC, i.e., the transfer rate coefficient and maximum surface coverage were determined by fitting the inflection point and the slope of the BTC. Table 3 summarises the quantification results calculated based on RSA modelling (see Numerical modelling & quantification section for details on the quantification procedure). Model outputs show that
Conclusions and implications
This study has quantitatively demonstrated that pH and IS could greatly impact on the SRHA’s capacity to promote microsphere mobility, by occupying colloidal deposition sites in saturated porous media. Relative to low pH and high IS environments, water with a high pH and low IS was observed to be more efficient in enhancing the SRHA’s colloidal deposition site blocking capacity thereby inhibiting microsphere deposition. Considering the flexible polyelectrolytic nature of SRHA, the contrast in
Acknowledgements
Xinyao Yang’s research was funded by the PhD studentship from Queen’s University, Belfast. Part of his travel expenses and consumables were covered by the Special Research Scholarship from SPACE and by the University of Vienna.
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Present address: Provincial Key Laboratory of Agricultural Environmental Engineering, Sichuan Agricultural University, Ya’an, 625014 Sichuan Province, People’s Republic of China.