Skip to main content
  • Research Article
  • Open access
  • Published:

Wien effect of Cd/Zn on soil clay fraction and their interaction

Abstract

Background

The coexistence of Cd2+ and Zn2+ ions in nature has a significant influence on their environmental behaviors in soils and bioavailability for plants. While many studies have been done on the mutual toxicity of Cd2+ and Zn2+, few studies can be found in the literature focused on the interaction of Cd2+ and Zn2+ on soil clay fractions especially in terms of energy relationship.

Results

The binding energies of Cd2+ on boggy soil (Histosols) particles and Zn2+ on yellow brown soil (Haplic Luvisols) particles were the highest, while those of Cd2+ and Zn2+ on paddy soil (Inceptisols) particles were the lowest. These results indicated that Cd2+ and Zn2+ have a strong capacity to adsorb in the solid phase at the soil–water interface of boggy soil and yellow brown soil, respectively. However, both Cd2+ and Zn2+ adsorbed on paddy soil particles easily release into the solution of the soil suspension. Unlike the binding energy, the higher adsorption energies of ions in boggy and yellow brown soils showed a weak binding force of ions in boggy soil and yellow brown soil. A 1:1 ratio of Cd2+ to Zn2+ promotes the mutual inhibition of their retentions. Cd2+ and Zn2+ have high mobility and bioavailability in paddy soil and yellow drab soil (Ustalfs), whereas they have high potential mobility and bioavailability in boggy soil and yellow brown soil.

Conclusion

In the combined system, Zn2+ had preferential adsorption than Cd2+ on soil clay fractions. Boggy soil and yellow brown soil have a low environmental risk with lower mobility and bioavailability of Cd2+ and Zn2+ while paddy soil and yellow drab soil present a substantial environmental risk. In the combined system, Cd2+ and Zn2+ restrain each other, resulting in the weaker binding force between ions and soil particles at a 1:1 ratio of Cd2+–Zn2+.

Background

In China, about 13% of soils included in the national assessment of soil contamination hold excessive amounts of inorganic pollutants [1]. Most of these contaminants are metals and metalloids that can be found in fertilizers [2] or in several classes of hazardous residues that are improperly disposed of in the soils [3]. Such elements can pose a threat to human health because of their accumulation throughout the food chain [4,5,6,7].

Both cooperative and antagonistic toxic effects are reported for soil pollutants such as those for Cd2+ and Zn2+. Turner [8] found that Cd2+ might increase Zn2+ uptake in some plants as a result of root damage in the higher Cd2+. Wu et al. [9] suggested that Cd2+ enhances Zn2+ accumulation in chloroplast (FII), whereas Zn2+ addition decreases the concentration of Cd2+ in root trophoplast (FII). Van Gestel and Hensbergen [10] observed that Cd2+ and Zn2+ had antagonistic and synergistic effects on the growth and reproduction of the Collembola, respectively.

The adsorption process at the solid–water interface strongly affects both mobility and bioavailability of pollutants in soil. Despite this, most research efforts in this field using empirical sorption isotherms or surface complexation models have focused on the behavior of single adsorbate [11,12,13,14]. Even the direct assessment of binding strengths between adsorbates and soil particles does not account for the competitive effects that take place in multi-adsorbate environments such as those found in soils [15,16,17,18,19].

Sorption studies carried out in multi-reactive media can better characterize the behavior of pollutants in soils. The use of soil samples and multi-metal solutions allowed Gomes et al. [20] to assess not only the competition effects on the metal distribution coefficients but also the effects of intrinsic cation properties such as the trend to hydrolysis and the softness parameter of Misono on the preferential metal adsorption. Using a competitive two-metal adsorption isotherm Ming et al. [21] observed that the co-adsorption of Zn2+ enhanced the Cd2+ mobility in soils.

The measurement of the Wien effect in colloidal suspensions is a straightforward and rapid method established by Li et al. [22] for determining binding energies associated with ion adsorption. This approach is based on the so-called Wien effect and colloidal electrolyte theory as proposed by Marshall and Krinbill [23]. The Wien effect is a deviation from Ohm’s law characterized by the enhancement of the electrical conductivity (EC) of a suspension in response to the application of an increasing electrical field (E) [24]. We have been successfully measuring this effect in suspensions of whole soils and soil minerals during the last decade [18, 25].

The Wien effect curves (EC vs. E) allows for quantifying the mean free ion binding and adsorption energies and the intensity of ion stripping from soil particles [15, 18, 22, 26, 27]. However, so far, this procedure was only applied to single metal systems. Therefore, in this paper we used the Wien effect to evaluate the co-adsorption impacts on the binding energies of Cd2+ and Zn2+ retained on soil clay fractions.

Materials and methods

Soils

Surface soil samples (0–0.2 m) were collected in four locations of Jiangsu Province, China, air-dried, ground, and passed through a 60-mesh sieve. Both soil pH and electrical conductivity (EC) values were measured in aqueous suspensions at the soil/water ratio of 1:2.5. Free iron was extracted with dithionite-citrate-bicarbonate solution whereas soil organic matter (SOM) was quantified through oxidation with potassium dichromate and sulphuric acid at 170–180 °C [2829]. The ethylenediaminetetraacetic acid (EDTA)-ammonium acetate exchange method was used to measure the soil cation exchange capacity (CEC) [29]. Dissolved organic carbon (DOC) was extracted at a soil/water ratio of 1:10 and determined with a Vario Cube TOC analyzer (Elementar Inc.). The results of the above evaluations are summarized in Table 1. The sand-sized (ϕ > 0.050 mm) particles were separated through wet sieving and then the clay-sized ones (ϕ < 0.002 mm) were isolated from the silt-sized particles (0.002 mm ≤ ϕ ≤ 0.050 mm) through sedimentation [30]. The minerals present in the clay fraction were identified by X-ray diffraction (Table 2).

Table 1 Properties of the studied soil samples
Table 2 Mineralogical composition of the clay fractions of the studied soils

Before the saturation experiments, the clay particles were washed with 0.001 M HNO3 and 0.0001 M HNO3 to remove adsorbed cations and then their charge densities were determined using the modified Schofield method [31]. Whereas the negative charges were enhanced on the particles with the increase of suspension pH, the insignificant amounts of positive charges kept almost constant (Fig. 1). Such irrelevance of positive surface charges is a prerequisite for the Wien effect measurements.

Fig. 1
figure 1

Negative and positive charge densities of clay fractions (< 2 μm) of the studied soils (a) paddy soil (Inceptisols) and boggy soil (Histosols) (b) yellow drab soil (Ustalfs) and yellow brown soil (Haplic Luvisols) as a function of pH

The preparation of soil clay fractions saturated with Cd2+ and Zn2+ and suspensions

The soil clay fractions were suspended in solutions containing 0.4 mol L−1 of positive charges from both Cd2+ and Zn2+. The solutions were prepared through the dissolution of amounts of reagent grade Cd(NO3) ·2 4H2O and Zn(NO3) ·2 6H2O sufficient for obtaining Cd2+:Zn2+ molar ratios of 3:1 [0.15 mol L−1 Cd(NO3)2 and 0.05 mol L−1 Zn(NO3)2], 1:1 Cd:Zn [0.10 mol L−1 Cd(NO3)2 and 0.10 mol L−1 Zn(NO3)2], and 1:3 Cd:Zn [0.05 mol L−1 Cd(NO3)2 and 0.15 mol L−1 Zn(NO3)2]. The surfaces of the clay fraction particles were saturated with Cd2+ and Zn2+ through three successive batches that included agitation, centrifugation, supernatant disposal and resuspension in the initial solution. Thereafter, the non-adsorbed ions were removed from particle surfaces through successive batches with deionized water that were repeated until the EC stabilization of the supernatants in a minimal value. The saturated particles were then oven-dried, ground, sieved and analyzed for their total amounts of Cd and Zn in an atomic absorption spectrophotometer Hitachi 2000 after microwave-assisted acid dissolution [32]. Aqueous suspensions (10 g L−1) of the saturated particles were prepared in 50-mL centrifuge tubes, agitated for 30 min and then sonicated for 45 min. After 10 additional 1-h agitations intercalated with 23 h of standing, the equilibrated suspensions were used in the measurements of the Wien effect for assessing binding energies of Cd and Zn cations adsorbed to the soil clay fractions.

Wien effect measurements

The electrical conductivity under strong electrical fields was measured with the SHP-2 (short high-voltage pulse) apparatus. Both the SHP-2 apparatus features and the measuring procedure were detailed elsewhere [15, 19, 22, 27, 33]. Before measuring the Wien effect with the apparatus, the weak-field EC of the sample was determined with a regular conductivity meter (DDS-310, Shanghai Kangyi instrument Co.). The measurements were conducted at 25 °C to ensure that the suspension resistance was within the range from 200 Ω to 20 kΩ. The strong-field ECs measurements were carried at 25 °C by applying a voltage drop that increased from 1.0 kV up to the sparking occurrence (dielectric breakdown). The electrode spacing was kept constant at 1 mm. The first set of measurements of the Wien effect was carried out from low to high field strengths whereas the second one was performed in reverse order to eliminate possible effects of long-term heating and other irreversible phenomena. In consideration of the lower energy contributed by the applied electrical field, the outer-sphere complexes were examined by the Wien effect method. After the measurements of the Wien effect the suspensions were centrifuged and the supernatants were filtered and analyzed for Cd and Zn. All measurements were performed in duplicate.

Binding energies of adsorbed Cd2+ and Zn2+

The direct relationship between ion activity and electrical conductivity was considered for the evaluation of both mean Gibbs free binding and adsorption energies. The evaluation of the mean Gibbs free binding energies in samples saturated with two metals is based on the assumption that the cation contribution to EC0 is proportional to its concentration in the equilibrium solution. Then, the following equations can be considered:

$${\text{EC}}_{0i} \, = \,{\text{C}}_{i} \lambda_{i} /\left( {{\text{C}}_{i} \lambda_{i} \, + \,{\text{C}}_{j} \cdot \lambda_{j} } \right)\, \times \,{\text{EC}}_{0}$$
(1)
$${\text{EC}}_{0j} \, = \,{\text{EC}}_{0} \,{-}\,{\text{EC}}_{0i}$$
(2)

where, EC0i and EC0j are the respective weak-field electrical conductivities caused by cations i and j (mS cm−1); C i and C j are the respective concentrations of cations i and j in the equilibrium solution (mol L−1); λ i and λ j are the respective equivalent conductivities of cations i and j (mS L cm−1 mol−1); and EC0 is the weak-field electrical conductivity associated with the Wien effect (mS cm−1).

The mean Gibbs free binding energy of each cation (ΔG bi ) is calculated with the following equation:

$$\Delta {\text{G}}_{bi} \, = \,{\text{RTln}}\left( { 2 {\text{M}}_{i} {\text{D}}_{\text{p}} \lambda_{i} } \right)/{\text{EC}}_{0i}$$
(3)

where, R is the universal gas constant (8.315 J mol−1 K−1); T is the temperature (K); M i is the adsorbed amount of cation i (mol kg−1); Dp is the suspension particle density (g L−1); λ i is the equivalent conductivity of the cation i (mS L cm−1 mol−1); and EC0i is the weak-field electrical conductivity caused by cation i.

For the sake of clarity, the minus sign of Eq. (3) was omitted and to the binding/adsorption energies will be assigned positive signs. The binding energy reflects the distribution proportion of metal ions on the interface of solid–solution. In Eq. (3), the numerator represents the EC expected from the contribution of all metal ions in the suspension under ideal condition. The denominator represents the EC contributed by the dissolved metal ions. The larger the binding energy is, the smaller the denominator is, that is, there are less dissolved metal ions in suspensions.

Adsorption energies of adsorbed Cd2+ and Zn2+

Given the non-selectivity of the electrical conductivity measurement, in a mixed system only the total adsorption energy of cations can be assessed, similar to the adsorption energy of single ions.

If one defines states (1) and (2) of the suspension as the electrical conductivities under the weak and the strong electrical fields, respectively, the mean Gibbs free adsorption energy can be evaluated from:

$$\Delta {\text{G}}_{\text{ad}} \, = \,{\text{RTln}}\left( {{\text{EC}}/{\text{EC}}_{0} } \right)$$
(4)

where, EC and EC0 are the respective electrical conductivities of the suspension under the strong and the weak electrical fields.

Equation (4) enables one to evaluate the mean free adsorption energy of all cations stripped off from the soil clay fraction particles as the electrical field increased from zero to E. The application of Eq. (4) to a series of measurements of the Wien effect, EC(E), can provide a spectrum of the cation adsorption energies, ∆Gads(E). If the metal strongly adsorbs to the soil clay fraction particles, fewer ions will be dissolved at a weak E and the EC enhancement at the high E will be substantial, i.e. the adsorption energy will be high.

Results and discussion

Cd2+ and Zn2+ on the soil clay fraction particles and in the equilibrium solutions

The amounts of Cd2+ and Zn2+ on clay particles and in equilibrium solutions as well as their distribution coefficients are shown in Table 3. The combined amounts of Cd2+ and Zn2+ on the clay-sized particles ranged from 122.1 to 173.3 mmol kg−1 and conformed to the CEC values determined for the whole soil samples. The Cd2+ to Zn2+ ratios in the clay-sized particles also agreed with the expected ones. The total cation concentrations in equilibrium solutions ranged from 0.008 to 0.170 mmol L−1.

Table 3 The contents of Cd2+ and Zn2+ in soil colloid particles and corresponding supernatant, the binding energies of Cd2+ and Zn2+ on different soil colloid particles at various ratio of Cd2+ and Zn2+, related parameters to calculate the binding energy

Electrical conductivity of suspensions as a function of field strength

The weak-field electrical conductivity (EC0) is proportional to the concentration of dissolved ions found in solution. Most of EC0 values of the suspensions containing clay-sized particles extracted from the paddy soil (Inceptisols) and yellow drab soils (Ustalfs) were the highest measured ones (Table 3). This finding could be due to the fact that soils had substantial amounts of dissolved organic matter which, in turn, carries electrical charges and forms soluble complexes with metals that are liable to ionize [16].

The ECs of all studied suspensions were almost even under lower field strength values and began to increase from threshold ones (Fig. 2). The EC increase rate was small under weak field and became high when E turned strong. Such behavior is ascribed to the coexistence of a small number of loose ions with a substantial amount of strongly bound ones at the solid–liquid interface, which agrees with the ion distribution in the electrical double layer of soil clay fractions [34].

Fig. 2
figure 2

Dependence on field strength of electrical conductivity of suspension (10 g L−1) of clay fractions (< 2 μm) of paddy soil (Inceptisols) (LY) (a), boggy soil (Histosols) (JH) (b), yellow brown soil (Haplic Luvisols) (NJ) (c) and yellow drab soil (Ustalfs) (XY) (d) saturated with different ratios of Cd2+–Zn2+ in deionized water

Mean Gibbs free binding energy

In all soils, the binding energies of Cd2+ in the absence of Zn2+ ranged from 8.2 to 9.9 kJ mol−1 and were greater than those found for Zn2+ in the absence of Cd2+ (6.1–8.0 kJ mol−1) (Fig. 3), which was consistent with the previous results reported by Fan et al. [16, 17]. On the other hand, as shown in Table 3, for all soils and Cd2+:Zn2+ ratios, the binding energies of Cd2+ ranged from 5.6 to 7.7 kJ mol−1 being the largest one related to the boggy soil (Histosols) and the smallest one verified in the paddy soil. Likewise, the binding energies of Zn2+ ranged from 5.7 to 7.2 kJ mol−1, with the largest one for the yellow brown soil (Haplic Luvisols) and smallest one for the paddy soil. As Table 2 shown, both yellow brown soil and boggy soil have high content of montmorillonite–vermiculite group mineral with more charge and large expansibility, while paddy soil has high content of kaolinite group mineral with less charge. Therefore, more metal ions adsorbed on yellow brown soil or boggy soil than paddy soil.

Fig. 3
figure 3

The binding energies of Cd2+ (a) and Zn2+ (b) on colloid particles of different soil types in single and combined systems

The binding energies of Cd2+ and Zn2+ in the mono-metal systems were higher than those in the competitive systems. Shaheen et al. [35, 36] observed lesser retentions of Cd2+ and Zn2+ in the competitive systems. Furthermore, the Cd2+ binding energy was lower in the competitive system while that of Zn2+ had no significant reduction compared to that observed in the single system. Antoniadis and Tsadilas [37] also obtained similar results, mainly because the binding strength between Cd2+ and soil particles was smaller and prone to be affected by competitive ions.

Boggy soil and yellow brown soil showed higher affinities for Cd2+ and Zn2+, respectively, while paddy soil has lower affinity for both cations. In other words, boggy soil and yellow brown soil attracted Cd2+ and Zn2+, respectively. On the other hand, both Cd2+ and Zn2+ tend to escape from the particles of paddy soil into soil solution.

Soil is a multi-component system comprised of clay minerals, organic matter and Fe/Al oxides. These components have different selectivity towards Cd2+ and Zn2+. Thereinto, soil organic matter has higher affinity for Cd2+ at lower pH, while clay minerals and Fe/Al oxides have stronger affinities for Zn2+ than Cd2+ at higher pH and lower surface coverage [38]. The pHs of suspensions prepared with soil clay fractions saturated with Cd2+ and Zn2+ were 4.49 and 5.31. Therefore, soil organic matter may be the crucial factor affecting the binding energies of Cd2+ and Zn2+ on various soil clay fractions. As Table 1 shows, the organic matter content of boggy soil, especially of the non-dissolved one, is larger than that in yellow brown soil. Moreover, the correlation between the binding energy of Cd2+ or Zn2+ in the combined system with different Cd:Zn molar ratios and the DOC contents in soil clay fractions was analyzed and shown in Fig. 4. The negative linear relationship was found, which means that the higher content of DOC is, the smaller the binding energy of Cd2+ or Zn2+ is. The presence of dissolved organic matter (DOM) enhances the solubility of metal ions in soil–water system by forming the soluble DOM-metal complex [16, 17]. The higher content of dissolved organic matter in the soils rich in OM implies in greater concentrations of aqueous DOM-metal complexes and then in less the binding energies. Phyllosilicates and metal oxides are the predominant soil components on which metal ions are adsorbed. Metal sorption on soil hydrous oxides is a type of inner-sphere complexation [39], while the mechanisms of metal sorption on phyllosilicates is dominated by cation exchange, outer-sphere complexation and inner-sphere complexation or even precipitation [40, 41]. Therefore, metal ions adsorbed on phyllosilicates and metal oxides were not easily dissociated under the weaker applied electrical field strength. Meanwhile, there was a positive relationship between the measured binding energy (Cd or Zn) at different ratios and the content of phyllosilicates + metal oxides, i.e. the binding energy increased with the increase of the content of phyllosilicates + metal oxides. Not only soil type but also the ratio of Cd2+ to Zn2+ affects the partition of metal ions on the interface of soil–water. In addition, the binding energies of Cd2+ and Zn2+ all decreased with increasing the proportion of metal ions in soil particles, which is consistent with what Tiller et al. observed [38].

Fig. 4
figure 4

The linear relationship between the binding energy of Cd2+ or Zn2+ in the combined system with different Cd:Zn molar ratio and the DOC content in soil clay fractions

Mean Gibbs free adsorption energy

The adsorption energies of metal ions on soil particles as a function of applied field strength were evaluated according to the calculation method proposed by previous studies. An indication of electrically adsorbing strength was used to identify the detachment tendency of ions from soil particles by external force provided by the applied electrical field. The greater the adsorption energy is, the weaker is the electrically adsorbing strength of metal ions on the surfaces of soil particles. As Fig. 5 shows, the adsorption energies of ions on soil particles increased slowly with the increase of field strength and decreased (referred to as a negative Wien effect) at E < 50 kV cm−1, while the growth of adsorption energies was rapid at high field strength (E > 100 kV cm−1). However, the adsorption energies decreased on the order of 1:1 > 1:3 > 3:1 of Cd2+:Zn2+ ratio in different soil particles with an increase of the field strength above 100 kV cm−1. At a Cd2+:Zn2+ ratio of 1:1, the adsorbing strength of electrically bound ions to soil particles was weak, thus leading to detachment of more ions from soil particles under application of electrical field. In addition, more ions were easier to desorb in the combined system with 75% Zn2+ and 25% Cd2+, compared with the system with 25% Zn2+ and 75% Cd2+, at the same field strength. This suggests that the binding of Cd2+ with soil particles is tighter than Zn2+, which is consistent with the order of electronegativity of Cd2+ (1.7) and Zn2+ (1.6) [42, 43]. As McBride [44] predicted, the bonding preference of trace metal chemisorption was Cd2+ > Zn2+ in accordance with the electronegativity of trace metal. Also, Moreira and Alleoni [45] proposed that electrostatic adsorption is the main mechanism of Cd2+ and Zn2+ retention in soils. Consequently, the binding strength for Cd2+ adsorbed on soil particles is stronger than that for Zn2+ in view of the electronegativities of Cd and Zn. In addition, the Misono softness parameter calculated from ionic radius and ionization potential is also used to predict the tendency of metals to form complexes. The ability to form strong complexes for Cd2+ is stronger than for Zn2+, depending on the parameter [20].

Fig. 5
figure 5

Mean free adsorption energies as function of field strength for suspension (10 g L−1) of clay fractions (< 2 μm) of paddy soil (Inceptisols) (LY) (a), boggy soil (Histosols) (JH) (b), yellow brown soil (Haplic Luvisols) (NJ) (c) and yellow drab soil (Ustalfs) (XY) (d) saturated with different ratios of Cd2+–Zn2+ in deionized water

In addition, the adsorption energies of ions in yellow brown soil and boggy soil were 2.2–3.9 kJ mol−1 (Table 4), which are larger than those in paddy soil and yellow drab soil (2.2–3.0 kJ mol−1) (Table 4) at 200 kV cm−1 in the combined system. Also, the results show that the adsorption energies of ions in paddy soil and yellow drab soil are lower in most of field strengths above 100 kV cm−1. This indicated that the ions adsorbed on the surfaces of yellow brown soil and boggy soil particles are easily dissociated in an applied electrical field, and paddy soil and yellow drab soil have stronger binding force for the two ion species. The mineralogy of soils were determined and shown in Table 2 in the manuscript. The dominant minerals of yellow brown soil and boggy soil were mainly montmorillonite–vermiculite group with have more charges and larger expansibility, while the main minerals of paddy soil and yellow drab soil were kaolinite group or hydromica group, with less charges or weaker expansibility. As Fig. 1 shown, the boggy soil and yellow brown soil have more negative charges and cation exchange capacity. Consequently, yellow brown soil and boggy soil had strong binding capacity for Cd2+ and Zn2+, while paddy soil and yellow drab soil had weak affinity for Cd2+ and Zn2+, resulting in high environmental risk.

Table 4 Mean free adsorption energies of ions adsorbed in soil colloid particles with four soil types at field strength of 100, 150, 200, 250 kV cm−1

Conclusion

Soil heavy metal contamination is not only single-metal ion contamination but also a binary pollution. In this study, the suspension Wien effect was used to investigate the interactions between two species of heavy metal ions and four types of soil clay fraction particles in the Cd2+–Zn2+ binary systems at various ratios of Cd2+ to Zn2+. The binding energy and adsorption energy spectra of Cd2+ and Zn2+ for the soil clay fraction particles were calculated based on the EC-E curves. Compared to the binding energies of Cd2+ and Zn2+ in the mono-metal system, more Zn2+ was electrostatically adsorbed on the clay fraction particles of the four studied soils than Cd2+. The binding energy results in the competitive system suggested that Cd2+ is inclined to combine with the clay fraction particles of boggy soil and Zn2+ tend to combine with clay fraction particles of yellow brown soil. For paddy soil, Zn2+ and Cd2+ are prone to partition into soil solution, resulting in the increase of the mobility and bioavailability of metal ions. Although soil clay fraction particles have a strong attraction to certain ions, the binding force between ions and soil particles may be weak. The adsorption energies of ions in boggy soil and yellow brown soil were higher, indicating weaker electrically adsorbing strength between ions and soil particles. Consequently, mobility and bioavailability of Cd2+ and Zn2+ are poor in boggy soil and yellow brown soil, respectively, while the potential mobility and bioavailability of Cd2+ and Zn2+ are high with the external force provided by the applied electrical field. In the combined system there was antagonism between Cd2+ and Zn2+ resulting in a weaker binding force between ions and soil particles at a 1:1 ratio of Cd2+–Zn2+. Furthermore, the affinity of ions to soil particles decreased with the increase of the proportion of ions (Cd2+ or Zn2+) in the Cd2+–Zn2+ binary samples.

References

  1. Ministry of Environmental Protection of the People’s Republic of China, Ministry of Land and Resource of the People’s Republic of China (2014) National survey of soil pollution

  2. Fonseca B et al (2011) Mobility of Cr, Pb, Cd, Cu and Zn in a loamy sand soil: a comparative study. Geoderma 164(3):232–237

    Article  Google Scholar 

  3. Nriagu JO, Pacyna JM (1988) Quantitative assessment of worldwide contamination of air, water and soils by trace metals. Nature 333(6169):134–139

    Article  Google Scholar 

  4. Wang QR et al (2003) Soil contamination and plant uptake of heavy metals at polluted sites in China. J Environ Sci Health 38(5):823–838

    Article  Google Scholar 

  5. Yang Y et al (2009) Accumulation of cadmium in the edible parts of six vegetable species grown in Cd-contaminated soils. J Environ Manage 90(2):1117–1122

    Article  Google Scholar 

  6. Li CC et al (2014) Integration of metal chemical forms and subcellular partitioning to understand metal toxicity in two lettuce (Lactuca sativa L.) cultivars. Plant Soil 384(1–2):201–212

    Article  Google Scholar 

  7. Li CC et al (2015) Internal distribution of Cd in lettuce and resulting effects on Cd trophic transfer to the snail: Achatina fulica. Chemosphere 135:123–128

    Article  Google Scholar 

  8. Turner MA (1973) Effect of cadmium treatment on cadmium and zinc uptake by selected vegetable species. J Environ Qual 2(1):118–119

    Article  Google Scholar 

  9. Wu FB et al (2005) Subcellular distribution and chemical form of Cd and Cd–Zn interaction in different barley genotypes. Chemosphere 60(10):1437–1446

    Article  Google Scholar 

  10. Van Gestel CAM, Hensbergen PJ (1997) Interaction of Cd and Zn toxicity for Folsomia candida Willem (Collembola: Isotomidae) in relation to bioavailability in soil. Environ Toxicol Chem 16(6):1177–1186

    Article  Google Scholar 

  11. Ünlü N, Ersoz M (2006) Adsorption characteristics of heavy metal ions onto a low cost biopolymeric sorbent from aqueous solutions. J Hazard Mater 136(2):272–280

    Article  Google Scholar 

  12. Argun ME et al (2007) Heavy metal adsorption by modified oak sawdust: thermodynamics and kinetics. J Hazard Mater 141(1):77–85

    Article  Google Scholar 

  13. Benhammou A et al (2005) Adsorption of metal ions onto Moroccan stevensite: kinetic and isotherm studies. J Colloid Interface Sci 282(2):320–326

    Article  Google Scholar 

  14. Albadarin AB et al (2012) Kinetic and thermodynamics of chromium ions adsorption onto low-cost dolomite adsorbent. Chem Eng J 179(1):193–202

    Article  Google Scholar 

  15. Li CB et al (2005) A new method to estimate adsorption energies between cations and soil particles via Wien effect measurements in dilute suspensions and an approximate conductivity—activity analogy. Environ Sci Technol 39(17):6757–6764

    Article  Google Scholar 

  16. Fan TT et al (2015) Effects of soil organic matter on sorption of metal ions on soil clay particles. Soil Sci Soc Am J 79(3):794–802

    Article  Google Scholar 

  17. Fan TT et al (2016) Effect of organic matter on sorption of Zn on Soil: elucidation by Wien effect measurements and EXAFS spectroscopy. Environ Sci Technol 50(6):2931–2937

    Article  Google Scholar 

  18. Wang YJ et al (2013) Organo-modification effects on soil particles-inorganic cations interactions as revealed by Wien effect measurements. Soil Sci Soc Am J 77(2):442–449

    Article  Google Scholar 

  19. Wang YJ et al (2008) Wien effect determination of adsorption energies between heavy metal ions and soil particles. Soil Sci Soc Am J 72(1):56–62

    Article  Google Scholar 

  20. Gomes et al (2001) Selectivity sequence and competitive adsorption of heavy metals by Brazilian soils. Soil Sci Soc Am J 65(4):1115–1121

    Article  Google Scholar 

  21. Ming H et al (2016) Competitive sorption of cadmium and zinc in contrasting soils. Geoderma 268:60–68

    Article  Google Scholar 

  22. Li CB, Friedman SP (2003) An apparatus for measuring the Wien effect in suspensions. Colloid Surface A 222(1–3):133–140

    Article  Google Scholar 

  23. Marshall CE, Krinbill CA (2002) The clays as colloidal electrolytes. J Phys Chem 46(9):1077–1090

    Article  Google Scholar 

  24. Wang YJ et al (2013) Chapter Three-Wien effect in suspensions and its application in soil science: a review. Adv Agron 122:127–178

    Article  Google Scholar 

  25. Li CB et al (2002) Wien effect in suspensions of electrodialyzed soil particles and its influencing factors. Pedosphere 12(3):235–242

    Google Scholar 

  26. Li CB, Friedman SP (2003) Interactions of cations with electrodialyzed clay fraction of soils as inferred from Wien effect in soil suspensions. Pedosphere 13(1):59–66

    Google Scholar 

  27. Wang YJ et al (2009) Negative Wien effect measurements for exploring polarization processes of cations interacting with negatively charged soil particles. Soil Sci Soc Am J 73(2):569–578

    Article  Google Scholar 

  28. Lu R (2000) Soil agricultural chemical analysis method. China Agricultural university Press, Beijing (in Chinese)

    Google Scholar 

  29. Du S, Gao X (2006) Soil analysis technical specifications, 2nd edn. China Agriculture Press, Beijing (in Chinese)

    Google Scholar 

  30. Hseung Y et al (eds) (1985) Soil colloids (Book two): methods for soil colloid research. Science Press, Beijing (in Chinese)

    Google Scholar 

  31. Yu T (1996) The electrochemistry of variable charge soil. Science Press, Beijing

    Google Scholar 

  32. Bettinelli M et al (2000) Determination of heavy metals in soils and sediments by microwave-assisted digestion and inductively coupled plasma optical emission spectrometry analysis. Anal Chim Acta 424(2):289–296

    Article  Google Scholar 

  33. Wang YJ et al (2013) Exploring the effect of organic matter on the interactions between mineral particles and cations with Wien effect measurements. J Soil Sediment 13(2):304–311

    Article  Google Scholar 

  34. Zhou Z (1996) Fundamental of colloid chemistry. Peking University Press, Beijing Shi

    Google Scholar 

  35. Shaheen SM et al (2013) A review of the distribution coefficients of trace elements in soils: influence of sorption system, element characteristics, and soil colloidal properties. Adv Colloid Interface 201–202(3):43–56

    Article  Google Scholar 

  36. Shaheen SM et al (2015) Distribution coefficients of cadmium and zinc in different soils in mono-metal and competitive sorption systems. J Soil Sci Plant Nutr 178(4):671–681

    Article  Google Scholar 

  37. Antoniadis V, Tsadilas CD (2007) Sorption of cadmium, nickel, and zinc in mono- and multi-metal systems. Appl Geochem 22(11):2375–2380

    Article  Google Scholar 

  38. Tiller KG et al (1984) The sorption of Cd, Zn and Ni by soil clay fractions: procedures for partition of bound forms and their interpretation. Geoderma 34(1):1–16

    Article  Google Scholar 

  39. Li W et al (2013) Inhibition mechanisms of Zn precipitation on aluminum oxide by glyphosate: a 31P NMR and Zn EXAFS study. Environ Sci Technol 47(9):422–4219

    Google Scholar 

  40. Yang S et al (2011) Determination of Ni(II) uptake mechanisms on mordenite surfaces: a combined macroscopic and microscopic approach. Geochim Cosmochim Acta 75(21):6520–6534

    Article  Google Scholar 

  41. Lee S et al (2004) EXAFS study of Zn sorption mechanisms on montmorillonite. Environ Sci Technol 38(20):5426–5432

    Article  Google Scholar 

  42. Usman ARA (2008) The relative adsorption selectivities of Pb, Cu, Zn, Cd and Ni by soils developed on shale in New Valley. Egypt Geoderma 144(1–2):334–343

    Article  Google Scholar 

  43. Abd-Elfattah A, Wada K (1981) Adsorption of lead, copper, zinc, cobalt, and by soils that differ in cation-exchange materials. Eur J Soil Sci 32(2):271–283

    Article  Google Scholar 

  44. Mcbride MB (1994) Environmental chemistry of soils. Oxford University Press, Oxford, pp 70–71

    Google Scholar 

  45. Moreira CS, Alleoni LRF (2010) Adsorption of Cd, Cu, Ni and Zn in tropical soils under competitive and non-competitive systems. Sci Agricola 67(3):301–307

    Article  Google Scholar 

Download references

Authors’ contributions

YJW planned the experiments together with CBL and DMZ. TTF did the vast majority of the lab-work and was the main author of the manuscript and compiled all the data. All six authors contributed significantly to the writing of the manuscript. TTF was in charge of the Wien effect data collection and analysis with YJW, JG and MEA. YJW started this project with CBL and DMZ several years ago and it was their initial experiments and results that laid the foundation for the data presented within this manuscript. All authors read and approved the final manuscript. 

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article.

Consent for publication

The manuscript is approved by all authors for publication.

Ethics approval and consent to participate

Not applicable.

Funding

This work was supported by the National Natural Science Foundation of China (Project No. 41422105) to YJW and the Natural Science Foundation of Jiangsu Province (Project No. BK20130050) to YJW and the Knowledge Innovation Program of the Chinese Academy of Sciences (ISSASIP1612) to YJW.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yujun Wang.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fan, T., Li, C., Gao, J. et al. Wien effect of Cd/Zn on soil clay fraction and their interaction. Geochem Trans 19, 5 (2018). https://doi.org/10.1186/s12932-018-0050-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12932-018-0050-y

Keywords