Geoderma 319 (2018) 70–79 Contents lists available at ScienceDirect Geoderma journal homepage: www.elsevier.com/locate/geoderma Kinetics, adsorption and desorption of Cd(II) and Cu(II) on natural allophane: Effect of iron oxide coating ⁎ T ⁎⁎ Jorge Silva-Yumia,b, , Mauricio Escudeya,c, , Manuel Gacituaa,c, Carmen Pizarroa,c a Facultad de Química y Biología, Universidad de Santiago de Chile, Av. B. O'Higgins, 3363, Santiago, Chile Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo, Grupo GETNano, Panamericana Sur km 1 1/2, Riobamba, Ecuador c Centro para el Desarrollo de la Nanociencia y Nanotecnología, CEDENNA, Santiago, Chile b A R T I C L E I N F O A B S T R A C T Handling Editor: Edward A Nater Volcanic soils are a potential source of abundant and low-cost adsorbent materials. Allophane and iron oxides are the main inorganic constituents of Andisols, soils derived from volcanic-ashes abundant in the central and southern continental Chilean territory. The present study aimed to elucidate the effect of free iron oxides on the adsorption of Cd(II) and Cu(II) from aqueous media on natural allophane (NA). Allophane samples consisted of natural allophane, obtained from a Chilean Andisol series, with (NA-FeOx) and without (NA) an iron oxide coating. Material characterisation showed that NA-FeOx was formed by nanometric (100–500 nm) sized spheres coated with an iron oxide layer that most likely consisted of a ferrihydrite-like mineral. On the other hand, NA consisted of aggregates (with particles as big as 1.0 μm) mostly constituted by allophane. The specific surface area of NA-FeOx and NA were ca. 150 and 17 m2 g− 1, respectively, and presented variable surface charge with an isoelectric point of 10.3. and 5.4. From the kinetic studies, equilibrium adsorption was achieved within 60 min and was almost independent of the presence of the iron oxides. Among the kinetic models evaluated, the pseudo-second order model presented a better correlation with the experimental data. The adsorption studies revealed that NA has a greater adsorption capacity of both Cd+ 2 and Cu+ 2 compared to NA-FeOx. Langmuir and Freundlich adsorption models fit the experimental data well, suggesting that the adsorption process is a combination of physical and chemical phenomena. The Freundlich constant (adsorption coefficient, KF) values obtained confirmed the superior affinity of NA active surface sites compared to NA-FeOx. Desorption studies demonstrated that the majority of adsorbed cations were retained by the adsorbent, indicating irreversible chemical adsorption on specific active sites of the adsorbents. Keywords: Volcanic ash derived soils Iron oxide coating Metal adsorption Adsorption-desorption modelling 1. Introduction Pollution by metals is a growing problem due to industrial activities and anthropogenic activities. The main sources of heavy metals are mining and refining processes; the use of pigments, plastics, and Cd-Ni batteries; the foundry and electroplating industry, as well as the intensive use of phosphate fertilizers and pesticides (Hashim et al., 2011; Ihsanullah et al., 2016; Molina et al., 2009; Uddin, 2017). Once introduced into the environment, metals permeate air, soil, and water compartments. As metals are not biodegradable, they may accumulate in organisms and are toxic to the aquatic flora and fauna as well as to human beings (Hegazi, 2013; Uddin, 2017). Remediation technologies for the removal of these pollutants from aqueous environments include chemical precipitation, electrochemical treatments, oxidation, reduction, coagulation, ion exchange, membrane filtration, bioremediation, ⁎ phytoremediation, bioadsorption, and adsorption (Hashim et al., 2011; Hegazi, 2013; Hua et al., 2012; Ihsanullah et al., 2016; Mahar et al., 2016; Mosa et al., 2016). Among these options, adsorption processes have garnered much attention due to their operation feasibility and simple design, among other attributes. One of the challenges of adsorption is identifying low cost materials with a high adsorption capacity. As a result, adsorbents obtained from natural sources have gained much consideration (De Gisi et al., 2016). In this context, soils in general and particularly Andisols (soils of volcanic origin) constitute a potential economic source of absorbent materials due to their natural allophane content (De Gisi et al., 2016; Kaufhold et al., 2009; Yuan and Wada, 2012). Allophane is an aluminosilicate with predominant short-range organisation that presents large specific surface area and high buffering capacity, among other properties. Allophane is known to have variable surface charge, which Corresponding author at: Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo, Grupo GETNano, Panamericana Sur km 1 1/2, Riobamba, Ecuador. Corresponding author at: Centro para el Desarrollo de la Nanociencia y Nanotecnología, CEDENNA, Santiago, Chile. E-mail addresses: jorge.silva.y@usach.cl (J. Silva-Yumi), mauricio.escudey@usach.cl (M. Escudey), manuel.gacitua@usach.cl (M. Gacitua), carmen.pizarro@usach.cl (C. Pizarro). ⁎⁎ https://doi.org/10.1016/j.geoderma.2017.12.038 Received 29 June 2017; Received in revised form 2 November 2017; Accepted 31 December 2017 0016-7061/ © 2018 Elsevier B.V. All rights reserved. Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. 2.1.4. Removal of free iron oxides Removal of free iron oxides was performed according to the procedure of Mehra and Jackson (Mehra and Jackson, 1960) but modified using the dithionite citrate bicarbonate (DCB) mixture. A 50 mL sample of the < 0.002 mm fraction was mixed with 100 mL of sodium citrate (0.3 M) and 12.5 mL of 1 N sodium bicarbonate in a thermostatic water bath set at < 80 °C. Following addition of 1 g of sodium dithionite, this mixture was allowed to react during 15 min with occasional stirring. The solid was purified using centrifuge and re-suspended in 50 mL of double distilled water. Purification steps were repeated four times. Finally, to remove the organic anions (citrate) adsorbed on the solids, the samples were washed with H2O2 (Escudey et al., 1986). The final sample was considered to be natural allophane (NA). may be positive or negative depending on the conditions of the medium (mainly pH), facilitating interactions with positive or negative ions through ion exchange or adsorption reactions (Bolan et al., 2013). Although allophane is a main component of Andisols, other minerals are also present in these types of soil. Iron oxides are widespread minerals in materials derived from volcanic-ashes, distributed mainly as coatings of primary or secondary minerals or infiltrated in clay aggregates. Their presence alters the electric charge and modifies the surface properties of allophane. Several reports point out that iron oxide minerals may participate in the adsorption mechanisms of toxic trace elements as As, Sb, Cd, Cu, Pb, V, etc. (Michalkova et al., 2014; Uwamariya et al., 2016; Yan et al., 2016). Michalkova et al. (2014) demonstrated that amendment of soils with different types of iron oxides has little effect on the adsorption of Cd and Cu. Synthetic magnetite/bentonite compounds have been shown to enhance adsorptive capacities for immobilisation of Pb, Cd and Cu in water samples (Yan et al., 2016). Uwamariya et al. (2016) established that the use of iron oxide-coated sand has interesting Cd and Cu removal capacities. Finally, Suda and Makino (2016) established that iron oxides from soils have a significant capacity to absorb pollutants such as arsenate, vanadate, and antimonate, among others. However, there is no clear consensus if iron oxides, when found forming coatings over natural aluminosilicate minerals, play a detrimental role in the adsorption capacities of cationic pollutants over a classical-cation adsorbent, such as allophane. Another aluminosilicate, also present on volcanic-ashes derived soil, at much lower concentration than allophane, is imogolite, which has been studied for copper and cadmium adsorption kinetics by Arancibia-Miranda et al. (2015). The objective of this research was to obtain natural allophane with (NA-FeOx) and without (NA) iron oxides from a Southern Chilean Andisol, and determine the influence of the natural free iron oxide coatings on the adsorption of cationic pollutants Cd(II) and Cu(II) in aqueous media. 2.2. Adsorbent characterisation 2.2.1. Total elemental analysis The elemental composition of samples (Al, Si, and Fe content) was determined by X-ray fluorescence by energy dispersion on a Shimadzu EDX-720 apparatus equipped with a rhodium (Rh) X-ray tube at a voltage of 5 to 50 kV and an X-ray Si detector. 2.2.2. X-ray diffraction The allophane samples, freeze-dried and homogenised in an agate mortar, were analysed by means of non-oriented powder diagrams. Diffractograms were acquired scanning between 10 and 80° (2θ) using Cu Kα (λ = 0.154 nm) radiation, 40 mA, and 40 kV and a nickel filter on a Bruker model D8 Advance diffractometer, with a path of 0.02° and a time of 1 s per path. 2.2.3. Scanning electron microscopy (SEM) The SEM micrographs of NA-FeOx and NA samples were obtained on a model EVO/MA10 (ZEISS) high vacuum scanning electron microscope. 2. Materials and methods 2.2.4. Fourier-transform infrared spectroscopy (FTIR) FTIR spectra of the aluminosilicates were obtained on a Bruker Tensor 27 spectrometer (Bruker). A 3 mg dry sample was compacted in a spectral-grade KBr matrix. The spectra were scanned 32 times at a resolution of 2 cm− 1. 2.1. Adsorbent preparation 2.1.1. Soil samples Andisol samples were taken from 20 to 40 cm depth of Santa Barbara (ashy, medial, mesic, Typic Dystrandept; (Mella and Kuhne, 1985)) uncultivated soil (36°47′ S 72° 8′ W). The series are dominated by allophane (> 50% of total minerals) and have a high content of Fe oxides. This profile was selected because allophane is known to be more concentrated in the B horizon of soil (Mella and Kuhne, 1985). Basic soil characterisation included organic carbon (Walkley-Black method, (Allison, 1965)), pH (1:2.5 soil: solution ratio), cation exchange capacity, and surface charge. 2.2.5. Mössbauer spectroscopy The NA-FeOx samples were weighed to provide a concentration between 5 and 10 mg of total Fe cm− 2. The sample, ground in an agate mortar, was placed on an approximately 3.4 cm diameter sample holder (~ 5 cm2), and the spectrum was recorded at ambient temperature (25 °C) at a speed rate of ± 10 mm s− 1 using a transmission spectrometer with a constant acceleration and a 20 mCi source of 57Co inserted in a Rh matrix. The calibration was made with respect to an iron foil sheet, α-Fe; the middle point of the hyperfine spectrum of the Fe was defined as zero on the velocity axis. 2.1.2. Removal of organic matter The organic matter was removed by an oxidative process with 30% hydrogen peroxide (H2O2) as described by Kunze and Dixon (Kunze and Dixon, 1965). The soil samples were suspended with double distilled water and heated to 60 °C. Addition of 10 mL of 30% H2O2 was followed by digestion for 24 h. This process was repeated until the residual organic carbon content was minimal, monitored by the wet oxidation method described by Kunze and Dixon (Kunze and Dixon, 1965). 2.2.6. Total specific surface area (TSSE) The specific surface area was determined gravimetrically by applying the ethylene glycol monoethyl ether (EGME) technique, proposed for determining the surface area of soils and their fine fraction, as well as of mineral silicates (Carter et al., 1965). 2.2.7. External specific surface area (ESSA), pore size distribution and pore volume A sample of approximately 0.3 g was first degassed. Then, the adsorption-desorption isotherms of N2 at − 195 °C (77 K) were acquired, changing the relative pressure (P/Po) of the gas and recording the volume adsorbed on the solid's surface. Specific surface area was calculated from the amount of N2 adsorbed employing the Brunauer-EmmettTeller or BET equation (Brunauer et al., 1983). Pore size distribution 2.1.3. Extraction of the < 0.002 mm fraction After removal of the organic matter, the required fraction was extracted from aqueous suspensions of the soil treated by a sedimentation procedure based on Stokes' law. This sample corresponds to natural allophane with iron oxides (NA-FeOx). 71 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. model succeeds in giving a perfect description of the experimental data. The pseudo-second-order kinetic model postulates that solute adsorption occurs on two available surface sites of the adsorbent, the pseudo-second-order adsorption kinetics (Arancibia-Miranda et al., 2015). The integrated form of the pseudo-second order kinetic rate equation is: (pore volume distribution vs. pore size) was determined from the N2 adsorption and desorption curves applying the Barrett-Joyner-Halenda/ Dollimore-Heal or BJH/DH method using relative pressures > 0.35 (Barrett et al., 1951). Pore volume is derived from the amount of vapour adsorbed at a relative pressure close to one (P/P0 ~0.95), assuming that the pores were filled with adsorbate in the liquid phase. t 1 1 = + t Ct (Cm − cal )2k2 Cm − cal 2.2.8. Surface charge determination The IEP values were determined by micro-electrophoresis. Electrophoretic mobility was measured with a zeta meter (ZM-77) apparatus. Dilute dispersions (0.05 g L− 1) were prepared in 10− 3 M KCl and pH was adjusted with 10− 2 M HCl or NaOH. The mobility was averaged and the zeta potential calculated using the HelmholtzSmoluchowski equation (Hunter, 1983). The observed rate constant of the pseudo-second-order-equation (k2) is a complex function of the initial solute concentration. This linear plot may be described as a chemisorption process. The initial adsorption rate, h (mg g− 1 min− 1), can be calculated from the pseudo-second-order equation, which can be obtained directly from the intercept of the straight line according to the equation: 2.2.9. Particle size distribution The Particle Size Distribution of samples was carried out in a Malvern Zetasizer Nano ZS Dynamic Light Scattering (DLS) system (Freud, 2007; de Kanter et al., 2016). The device uses classical singlescattering DLS methods to calculate particle sizes in a range from 0.3 nm to 10 μm with a 633 nm laser and detects the backscattered light at 173°. The device features a temperature-controlled holder for a cuvette. h = k2 (Cm − cal )2 2.3.3. Adsorption isotherms In 50 mL polypropylene centrifuge tubes, 20 mL of 10, 20, 40, 60, 80, 100 and 120 mg L− 1 Cd2 + or Cu2 + solutions in 0.05 M KNO3, as well as 1.5 mL of NA-FeOx or NA, were added to each tube. The tubes were stirred at 200 rpm in a linear shaker at ambient temperature for 8 h and subsequently centrifuged. The supernatants were filtered and saved for later quantification of cadmium and copper. The experiments were performed in duplicate at 25 °C and the pH was controlled at each point, keeping a fixed value of 5.5 ± 0.2 for the adsorption studies (Clark and McBride, 1984). The amount of metal absorbed at equilibrium, Cs, can be determined by mass balance according to: 2.3.1. Theoretical speciation of Cd(II) and Cu(II) The chemical speciation, or determination of the form in which the ions are found in solution, was carried out with the GEOCHEM PC program, designed for making speciation calculations at equilibrium (Parker et al., 1995). The parameters for the chemical speciation were the concentration of each of the species, expressed as –log C, a constant ionic force of 0.05 M NaNO3, and a pH range from 2 to 11. Cs = 1 Cs = KF (Ce ) (1) where C0 and Ct are the metal's concentrations (mg L ) in the supernatant at times 0 and t, respectively, V (L) is the total volume of solution in the tubes, and m is the mass (g) of allophane used. Adsorption kinetic data were fitted employing the pseudo-first and –second order models. The pseudo-first-order kinetic model assumes that a solute ion is adsorbed on a surface site of the adsorbent (Arancibia-Miranda et al., 2015). The integrated form of the pseudo-first order kinetic rate equation is: log(Cm − Ct ) = log Cm − cal (5) nfads (6) where KF and nfads are adjustable parameters with 0 < 1/nfads < 1 (usually), Cs is the concentration of adsorbed species (mg g− 1), Ce is the concentration in the supernatant solution (mg L− 1), KF is the empirical Freundlich adsorption coefficient, and nfads is a linearity factor. The Langmuir model assumes that the adsorption of the solute on a solid takes place forming a monolayer; it considers ideal solutions where the adsorption is independent of the coverage of the surface, the sites on which the adsorption takes place are distributed uniformly on the adsorbent surface, and the energy due to the interaction is equal at all the interaction sites. The model also assumes a fixed number of exchange sites. The Langmuir model is applicable to L-type isotherms, characterised by a high affinity between adsorbate and adsorbent, commonly implying a chemical adsorption with the formation of inner sphere complexes (Giles and Smith, 1974). The Langmuir model is described by: −1 kt − 1 2.303 (C0 − Ce ) V m where Ce is the concentration of the metal in the supernatant after reaching equilibrium. Adsorption isotherm data were fitted using Freundlich and Langmuir adsorption models (Evangelou, 1998). The Freundlich model does not have a mechanistic interpretation; it only represents an empirical approach to predict the species distribution between a solid/solution phase, and is described by: 2.3.2. Adsorption kinetics In 50 mL polypropylene centrifuge tubes, 20 mL of 120 ppm Cd2 + or Cu2 + solution in 0.05 M NaNO3, and a volume of NA or NA-FeOx suspensions, equal to 200 mg of aluminosilicate, were added. The tubes were stirred (200 rpm) in a reciprocating shaker using time intervals of 0.16, 0.33, 0.5, 0.66, 1, 2, and 5 h. At the end of each time-interval the tubes were centrifuged. The supernatant was filtered and stored for later quantification of Cd and Cu. The experiments were performed in duplicate at 25 °C and the pH was controlled at each point, keeping a fixed value of 5.5 ± 0.2 for the kinetic studies (Clark and McBride, 1984). The results of the experiment were used to calculate the amount of adsorbed metal as a function of the time, Ct, determined by mass balance according to the equation: (C0 − Ct ) V m (4) where Cm-cal is the total adsorbed amount calculated by the model. 2.3. Adsorption studies Ct = (3) Cs = Cm − cal (2) KL Ce 1 + KL Ce (7) where Cs and Ce have the same meaning as in the Freundlich model, Cm−1 ) calculated by the cal is the maximum adsorption capacity (mg g model, and KL is the empirical affinity Langmuir coefficient (L mg− 1). The removal percentages, R, were calculated using Eq. 8 and are presented with respect to the initial concentration in solution of pollutant (C0): where Ct is the adsorbed quantity at any time (t), Cm is the maximum experimental adsorbed amount (obtained from the kinetic curve), k1 is a combination of the adsorption and the desorption rate constants, and, finally, Cm-cal corresponds to the maximum adsorbed amount, as determined by the application of the model. Cm-cal and Cm will agree if the 72 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. R= C 0 − Ce × 100% C0 Table 1 Elemental composition, specific surface area and pore volume of aluminosilicate samples. (8) 2.3.4. Desorption isotherms Once the adsorption process had ended, the centrifuged solids were washed with some drops of double distilled water to dilute and remove residual solution. Consecutively, 20 mL of 0.05 M NaNO3 free of Cd2 + and Cu2 + were added, and the mixtures were stirred at 200 rpm in an orbital shaker at 25.0 °C for 8 h. After centrifugation, the supernatant was filtered and stored for quantification through atomic absorption spectroscopy. Desorption process was performed in duplicate only for one desorption cycle. Since the Freundlich model fitted better the adsorption isotherms data, the same model was considered for adjusting desorption isotherms. The amount of retained metal (mg of the metal ion per g of allophane) was calculated from the difference between the adsorbed amount and the desorbed amount according to the following equation: Cr = Cs − Cdes V m Si Al Fe Al/Si TSSAa ESSAa Total pore volume Mean pore diameter a −1 where Cr (mg g ) and Cs (mg g ) are the amounts retained and adsorbed, respectively; Cdes (mg L− 1) is the equilibrium concentration in the desorption process; V (L) is the volume of solution used for the desorption process; and m (g) is the mass of allophane used. Desorption percentages, P, were calculated from the adsorption and desorption data as in the following equation: P= Cdes × 100% Cs (10) −1 where Cdes (mg g ) is the amount of metal desorbed by NaNO3 and Cs (mg g− 1) is the amount of metal adsorbed by the solid. An index of the desorption hysteresis (hysteresis index or HI) based on Freundlich's exponents is calculated as a percentage according to: HI = nfdes × 100% nfads m2 g− 1 m2 g− 1 mL g− 1 nm NA 34.3 ± 0.3 42.8 ± 0.5 19.4 ± 0.0 1.25 301 ± 23 151 ± 1 0.14 3.7 44.8 ± 0.4 45.6 ± 0.5 4.8 ± 0.0 1.02 237 ± 14 17 ± 0 0.04 10.5 TSSA: total specific surface area; ESSA: external specific surface area. However, after removing iron oxides (NA), the spectrum showed strong signals assigned to halloysite and other weaker signals representative of quartz, cristobalite, and feldspar. Surface parameters (Table 1) revealed that specific surface (whether TSSA or ESSA) was greater in the aluminosilicate samples after removal of the organic matter contents (NAFeOx) when compared to the samples after elimination of iron oxide coatings (NA). This difference may account for the higher degree of aggregation observed in NA (Fig. 1) compared to NA-FeOx, as large aggregates (and clusters) provide lower surface area than small ones. Moreover, iron oxides are renowned materials for their large surface area. The shape of the adsorption and desorption isotherms of N2 (Supplementary material, Fig. S4) used for the ESSA calculation suggests the presence of mesopores (2–50 nm) at NA-FeOx and macropores (> 50 nm) at the NA samples, respectively. Specifically, desorption curves (Supplementary material, Fig. S5) were used to evaluate the pore size distribution, resulting on a pore-size maximum of 50 and 40 nm for NA-FeOx and NA, respectively. Expressing the porosity by means of the total pore volume and the pore size distribution (Table 1), NA-FeOx has greater porosity than NA, but with a smaller pore diameter. The morphological characterisation of the samples is shown by the scanning electron microscopy (SEM) micrographs presented in Fig. 1. The images for both samples show nanometric-sized spheres, a morphology characteristic of allophane. Moreover, the material's tendency to form aggregates with different shapes and sizes, as has been described in the literature (Henmi and Wada, 1976), was also observed even after subjecting the samples to ultrasound for dispersion. In the case of NA-FeOx, aggregates were seen in the order of 100 to 500 nm, with some clusters (adhesion of aggregates) reaching the order of micrometres. In contrast, a greater degree of aggregation was seen in NA (larger aggregates) compared to those seen in NA-FeOx, exceeding 1.0 μm. The fact that NA forms larger aggregates than NA-FeOx may affect the total and external specific surface area of the samples. FTIR spectroscopy characterisation (Supplementary material, Fig. S2) produced characteristic transmittance bands for natural allophane. NAFeOx typically produces a signal at 930 cm− 1, corresponding to the FeeO bond stretching (Mora et al., 1994), while NA produces a signal between 770 and 400 cm− 1 representative of (HO)Si(OAl)3 allophanewalls vibrations (Levard et al., 2012). The most important finding from the FTIR results was the disappearance of FeeO signals in NA samples, which confirmed the removal of free iron oxides by the DCB treatment. 57 Fe Mössbauer spectroscopy characterisation of the NA-FeOx sample (Supplementary material, Fig. S3) did not yield conclusive results with respect to iron-oxide mineralogy due to the low resolution of the existing sextet. The presence of Fe3 + in octahedral of silicate structures was clearly identified, but since the structural unit of all the iron oxides is the octahedron, this observation does not provide further information for species identification. If Mössbauer results are compared to those reported in the literature for other Andisol series (Pizarro et al., 2000), the oxides present may be assigned to a ferrihydrite-like mineral, a stable iron-oxide known for its association with allophane (Bartoli et al., 2007; Filimonova et al., 2016; Latrille et al., 2003). Taken together, the general characteristics from adsorbents (Table 1) indicate (9) −1 % % % NA-FeOx (11) where nfdes and nfads are calculated from exponents of Freundlich's equation in the desorption and adsorption, respectively. 3. Results 3.1. Characterisation The Santa Bárbara soil series was chosen because allophane is dominant in its mineralogy, comprising > 50% content, followed by halloysite and vermiculite, with 1–5% (Mella and Kuhne, 1985). It is a typical Andisol with acidic characteristics and a negative surface charge (pHwater and pHKCl are 6.22 and 5.45, respectively), with an isoelectric point (IEP) of 5.6 and 4.4% of organic carbon. Its texture is defined by sand (9.6%), silt (65.9%), and clay (24.4%). Removal of the organic matter was carried out by sequential treatments with hydrogen peroxide and the respective sample without organic matter was fractionated by the pipet method to separate the < 0.002 mm part (the Particle Size Distribution by DLS analysis showed that the average size of the fraction is 392 nm); this sample corresponds to natural allophane without organic matter, with its iron oxides deposited on the surface (NA-FeOx). Then, the destruction of the iron oxides was carried out by the DCB method, obtaining natural allophane without organic matter or iron oxides (NA). The results of the chemical composition by X-ray fluorescence of these materials, as well as the specific surface area and pore volume, are presented in Table 1. Reduction of the iron contents from 19.4% (NA-FeOx) to 4.8% (NA) by the DCB method suggested successful removal of the free iron oxides. Conversely, the XRD analysis for the NA-FeOx samples confirmed the predominance of minerals with short-range organisation due to the absence of intense diffraction signals (Supplementary material, Fig. S1). 73 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. Fig. 1. SEM micrographs for natural allophane (NA) and natural allophane with iron oxides (NA-FeOx). Arrows indicate large and small aggregates found at NA and NA-FeOx micrographs, respectively. determine the maximum pH at which these experiments could be performed in order to avoid confusing the adsorption phenomena with precipitation of the metals as the hydroxides M(OH)2 (Pokrovsky et al., 2012). The GEOCHEM-PC software is able to deduce the speciation of Cd and Cu ions in solution as a function of pH. At an initial concentration of 120 ppm and an ionic strength of 0.05 M NaNO3, the Cu2 + and Cd2 + metal ions started precipitating as M(OH)2 at pH values of 5.6 and 8.5, respectively (Supplementary material, Fig. S6). Consequently, adsorption experiments were conducted at pH 5.5, consistent with the typically acidic pH of soil derived from volcanic ashes (with pH as low as 4.1, (Escudey et al., 2004)), which suffer additional acidification processes due to agronomic exploitation (Hirzel et al., 2011; Matsuyama et al., 2005). Adsorption kinetics determined the rate at which the pollutants, Cd+ 2 and Cu+ 2, were adsorbed over the aluminosilicate surfaces, NAFeOx and NA, as well as the time needed to reach equilibrium. A deeper analysis can even allow the determination of the type of adsorption and understand the reaction's route and mechanism (Worch, 2012). Fig. 3 shows the adsorption kinetics of both metals on the surfaces in study and the fit of the adsorption models applied in each case. The adsorbents were rapidly saturated, reaching a constant adsorption value after the first hour of the experiment, with most of this saturation being achieved in < 60 min. This behaviour was not dependent on the adsorbed cation. The maximum amount of cation adsorbed was different between NA-FeOx and NA, as it was always higher at the latter. Maximum amount of adsorbed Cd+ 2 on NA-FeOx and NA were ca. 4.0 and 9.0 mg g− 1, respectively, while in the case of Cu+ 2 the values were approximately 6.5 and 10.0 mg g− 1. This behaviour showed that the removal of iron oxides had a beneficial effect on the cation adsorptive capacity of the allophane. Surface charge changes were likely one of the factors involved in the observed effects. Comparing the two pollutant cations, the results were similar, with a slightly greater adsorption affinity of copper over cadmium. The fit of the curves was carried out using pseudo-first- and pseudo-second-order kinetic models, with their respective fitting parameters presented in Table 2. Considering the correlation coefficient (R2) as well as the value of chi square (χ2), the model with the best fit corresponds to the pseudosecond-order model, suggesting that the adsorption of the cations occurs on the materials at two different sites. Thus, if the values of pseudo-second order reaction rate constant (k2) are compared, it can be concluded that the adsorption of the pollutants occurs about 3 to 4 times faster over NA than NA-FeOx. Therefore, the presence of the iron oxide coating somehow deaccelerates the adsorption of the cationic pollutants, a possible consequence of the different surface charge with adsorbents. Adsorption kinetics on natural allophanes (with and without FeOx coatings) can be advantageous compared to kinetics that NA-FeOx possesses higher specific surface area/mass and bigger pores than NA. Another important surface characterisation was determination of the variations at the isoelectric point due to destruction of the OM and the removal of free iron oxides. Fig. 2 presents the changes of the zeta potential vs. pH curves for each sample. The acidic isoelectric point (IEP) of an Andisol has its origin in the negative surface charge of allophane, intensified by the organic matter. As such, the system's overall charge becomes more negative as the organic matter content increases. The Santa Barbara soil was determined to have an IEP of 5.6. When the organic matter was removed (NAFeOx), the curve increased to 10.3 on IEP, in agreement with the destruction of the organic matter and the exposition of Fe-OH and Al-OH active sites. It is also known that the iron oxide layer, in addition to the terminal –OH groups of the aluminium oxides octahedral structures that cover the allophane, contribute with positive charge to the surface of the particle (Cornell and Schwertmann, 2003). Removal of the free iron oxides with the DCB treatment decreased the IEP of the allophane particles from 10.3 to 5.4, pointing out the negative contribution of SiOH active sites of allophane (Escudey et al., 1986; Escudey et al., 2004). The differences in IEP and changes of surface charge with pH between NA-FeOx and NA may be at least partially responsible for the different adsorption capacities of cationic species seen; i.e., surfaces with higher negative surface charge character should present higher adsorption capacities towards cations like Cd2 + and Cu2 +. 3.2. Adsorption studies Prior to performing the adsorption studies, it was necessary to Fig. 2. Zeta potential vs pH for Santa Barbara soil and aluminosilicates samples. 74 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. Fig. 3. Adsorption kinetic of Cd+ 2 and Cu2 + over NA-FeOx and NA with the respective kinetic model adjustments. may be involved (Sullivan, 1977). On these terms Cu+ 2 is a harder (acid) cation than Cd2 +, and therefore would present affinity to bond with hard bases, like terminal –OH moieties at the allophane structure. This may partially explain the preferences for copper over cadmium. The isotherms revealed that adsorption of both pollutants is higher over NA than NA-FeOx. The lower adsorption of cationic pollutants over NA-FeOx compared to NA may be at least partially attributed to differences in sign and magnitude of the adsorbent surface charge at equilibrium pH (5.5), where iron oxide layer provides a positive-net charge to the allophane surface, while natural allophane is almost at its IEP. The interaction of cations with the surface would be different in electrostatic terms. The same trends were observed when analysing the removal percentages of pollutants from solution, R (Fig. 5), where the highest R values observed were associated with the lowest development of positive charge on the adsorbent surface and vice versa. As concentration in solution increases, the percentage of pollutants removed from the solution (R) decreases, limited by the adsorption capacity of the adsorbents. Independent of the type of pollutant, the decrease in R as function of the metal concentration in the solution was more pronounced for NA-FeOx; this agrees well with the differences observed for the maximum adsorption capacity for each adsorbent (Fig. 4), confirming the effect of the iron oxide coating on the cation adsorption capacity of allophane. Also Cu2 + tended to be more easily removed by the same adsorbent compared to Cd2 +, a behaviour that may also be attributed to the HSAB theory. In order to better characterise the systems, the Freundlich and Langmuir models were applied to the adsorption isotherms (Fig. 4) and evaluated to determine which model yielded a superior fit. Fitting parameters are presented on Table 3. As indicated by the low difference in correlations coefficient, both the Freundlich and the Langmuir models fit the isotherms. This suggests that adsorption is a combination of chemical and physical processes. However, comparison of the R2 and χ2 values reveals that the fit of the Freundlich model is superior to the Langmuir model. Additionally, the Cm-cal values predicted by Langmuir model do not always agree with the experimental Cm. The Freundlich model has been previously used for Table 2 Kinetic models parameters. NA-FeOx NA Cd2 + Cu2 + Cd2 + Cu2 + Pseudo 1st order model Cm mg g− 1 k1 min− 1 R2 χ2 3.89 2.70 0.85 0.32 6.35 0.21 0.99 0.02 9.27 0.25 0.99 0.01 10.11 0.37 0.99 0.32 Pseudo 2nd order model Cm mg g− 1 k2 g mg− 1 min− 1 h mg g− 1 min− 1 R2 χ2 4.12 0.07 1.19 0.88 0.25 6.43 0.13 5.37 0.99 0.00 9.32 0.24 20.8 0.99 0.01 10.1 0.51 52.4 0.99 0.01 observed for same cations on synthetic imogolite were equilibrium was reached after about 800 min (Arancibia-Miranda et al., 2015), while about 60 min were required on allophanes samples studied on present work. The adsorption isotherms for each cation on both allophanes were obtained by exposing the adsorbents to different concentrations of pollutants until equilibrium was reached (Fig. 4). As the graphs show, adsorption capacity increased rapidly at low pollutant concentrations. The isotherms for Cd2 + correspond to L-type isotherms, which tend to reach a maximum in the adsorption capacity. In contrast, the isotherms for Cu2 + resemble H-type isotherms, indicating that adsorbent has more affinity for copper than cadmium. Adsorption of Cu2 + was greater than that of Cd2 + per mass of adsorbent, regardless of allophane-type. As has been long proposed (Sullivan, 1977), the “replacing-power” of cations is not easy to predict since it depends on several system features including adsorbent nature, concentration of metal in solution, type of ion adsorption originally on exchange surface, temperature, and pH. Nevertheless, it has been proposed that the Pearson theory of Hard and Soft Acids and Bases (HSAB) 75 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. Fig. 4. Adsorption isotherms of pollutants (points) and model fittings (lines) over natural allophane (NA) and natural allophane with iron oxides (NA-FeOx). Table 3 Langmuir and Freundlich parameters for adsorption data. NA-FeOx Cd Freundlich nfads KF R2 χ2 Langmuir Cm-cal KL R2 χ2 mg g− 1 mg g− 1 L mg− 1 2+ NA Cu 2+ Cd2 + Cu2 + 2.54 1.11 0.98 0.09 5.97 4.16 0.98 0.19 2.95 4.65 0.99 0.24 5.99 8.83 0.95 1.06 5.98 0.10 0.95 0.20 7.00 2.01 0.91 0.80 12.4 0.46 0.94 1.09 9.93 45.3 0.84 3.32 situation occurs for Cu2 +. On this case, KF values over NA-FeOx and NA also implies that copper affinity is reduced by the iron oxide coating. In order to fully characterise the system under study, the desorption process must be analysed as well. The corresponding desorption isotherms were obtained by plotting the amount of metal retained on the solid after the process of desorption as a function of the equilibrium concentration of the metal in the solution. The desorption isotherms calculated for each metal and adsorbent are presented in Fig. 6. In each case, comparison of the magnitude between the respective adsorption and desorption isotherm reveals that adsorbed species consistently exceed desorbed species. This observation is consistent with the existence of an irreversible adsorption process over the adsorbents, which can be explained in part by electrostatic considerations and additionally by a ligand exchange mechanism; combining physical and chemical processes as previously suggested during model fitting analysis. This situation would be environmentally favourable, as it minimises the possibility of leaching which would return the retained Fig. 5. Removal percentages for different adsorbent and pollutants, as a function of the initial metal concentration in solution (C0). fitting adsorption data from Cd2 + and Cu2 + on other types of aluminosilicate, such as on zeolite and bentonite samples from Anarak and Firouzkoh mines in Iran (Hamidpour et al., 2010) and on kaolinite and montmorillonite (Gupta and Bhattacharyya, 2008). In regards to the Freundlich parameters, the nfads gave similar values for the adsorption of each metallic cation independent of the adsorbent. For instance, nfads values for Cd2 + were similar on NA-FeOx and NA, which was also the case for Cu2 +. Therefore, adsorption isotherms fitted with similar nfads values can be compared in terms of their empirical Freundlich adsorption coefficient or KF. For Cd2 +, comparing the KF value over NA-FeOx and NA indicates that iron oxide coating reduces about 4 times the affinity of allophane for cadmium. The same 76 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. Fig. 6. Adsorption and desorption isotherms (points) and their corresponding fitting by the Freundlich model (lines). adsorption. Considering the relationship between R and P (comparing Figs. 5 and 7), the most intense adsorption process corresponds to the less intense desorption, when irreversible (chemical) adsorption processes predominate. Chemical adsorption of Cd2 + on a different aluminosilicate, montmorillonite from Gumma (Japan), has been also described (Kumar-Saha et al., 2003) with P values near 40%. As in the adsorption experiments, the Freundlich model was also used for fitting the desorption isotherms, for which parameters are presented in Table 4. Similar to the trends observed for Freundlich model's adjustment of adsorption isotherms, the values of nfdes (Freundlich linearity factor for desorption) were similar for each pollutant independent of the adsorbent. Therefore, KF (Freundlich coefficient) obtained for the desorption isotherms may be compared for each pollutant. The values of KF for Cd+ 2 on NA was almost 4 times higher than on NA-FeOx, meaning that the interaction of cadmium over the aluminosilicate was about 4 times stronger if compared to the iron oxides coated surface. In the case of Cu2 +, KF values on NA practically doubled over that of NA-FeOx; thus, the interaction of Cu2 + over the iron oxide coated allophane was weaker compared to the bare allophane surface. These comparisons between KF values for the desorption also explain the behaviour observed for the adsorption kinetics experiments (faster on NA than NA- pollutants to the environment (water bodies, etc.). To further elucidate the nature of the interaction between pollutants and adsorbents, the corresponding desorption percentages, P, were analysed. Fig. 7 demonstrates that the desorption processes were incomplete in all cases. For the respective cation, the desorption percentages from NA-FeOx were higher than those observed for NA. For both aluminosilicates Cd2 + desorption was higher than Cu2 + desorption. The mostly irreversible character of adsorption can be attributed to a specific interaction in high-energy sites in the solids and would correspond to a superficial ligand exchange reaction. This observation is in agreement with the pseudo-second-order model that best represented the experimental values and is usually associated with a process of chemical Table 4 Freundlich model desorption parameters. NA-FeOx Freundlich nfdes KF R2 χ2 Fig. 7. Desorption percentages for adsorbents and pollutants, as a function of the initial metal concentration in solution (C0). 77 mg g− 1 NA Cd2 + Cu2 + Cd2 + Cu2 + 1.96 0.63 0.95 0.08 5.55 3.62 0.85 0.79 2.08 2.43 1.00 0.03 4.16 7.40 0.77 4.19 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. by the adsorbent (over allophane retention values were around 60% at 5.0 pH). Therefore, the results herein taken together with the literature demonstrate that several types of aluminosilicate exhibit irreversible chemical adsorption of Cd2 + and Cu2 +, showing NA-FeOx and NA the highest irreversibility within the minerals considered. From an environmental point of view the high irreversible adsorption is an important outcome, because reduces the likelihood that the adsorbed metallic cations return to solution phase putting them back to the environment. Table 5 Freundlich exponent and hysteresis index for adsorption and desorption processes of pollutant over adsorbents. Pollutant Parameters NA-FeOx NA Cd2 + nfads nfdes HI nfads nfdes HI 2.54 1.96 77.2 (−) 5.97 5.55 93.0 (−) 2.95 2.08 70.5 (−) 5.99 4.16 69.4 (−) Cu2 + 4. Conclusions FeOx, see Fig. 3) and the desorption percentages (for each cation, desorption is always greater when studied over NA-FeOx, see Fig. 7). More specifically, a relationship can be established between adsorption and desorption through hysteresis, a phenomenon in which the adsorption and desorption isotherms do not coincide. Various mechanisms have been suggested to explain hysteresis, including chemical precipitation, migration, incorporation of the adsorbate in the solid's matrix, and deformation of the micropores (Hamidpour et al., 2010). Table 5 presents the calculated values of the hysteresis index for Cd2 + and Cu2 + on each of the adsorbents. As expressed by Hamidpour et al. (Hamidpour et al., 2010), HI values lower than 100 (nfads > nfdes) correspond to negative hysteresis (−) and represent a scenario in which it is difficult for adsorbed species to be desorbed from adsorbent; HI = 100 (nfads = nfdes) means the absence of hysteresis; HI higher than 100 (nfads < nfdes) corresponds to positive hysteresis (+), which indicates a feasible desorption process of the analyte from the adsorbent. Thus, the hysteresis index “quantifies” the reversible character of the adsorption process. In allophane systems studied, negative hysteresis was observed (HI –), which is consistent with the assumption that chemical adsorption processes likely dominate over electrostatic interactions in all systems under study. HI values were higher for NA-FeOx than NA, again pointing to the effect of iron oxide coating at the aluminosilicate surfaces. Iron oxides weaken the interaction between the cationic pollutants and the adsorbent (in agreement with the kinetics assays, Fig. 3, and removal percentages or R, Fig. 5). Thus, NA is a better material than NA-FeOX in terms of adsorption speed and pollutant removal percent. For the adsorption outcomes, experimental maximum adsorption capacity over NA was 11.3 and 12.3 mg g− 1 for Cd2 + and Cu2 +, respectively, comparable to reports from other natural aluminosilicatebased adsorbents. For instance, recent reports have established for Cd+ 2 maximum adsorption capacity values of 6.3, 11.0, 11.2 and 22.17 mg g− 1 on montmorillonite, kaolinite, bentonite and smectite (Gupta and Bhattacharyya, 2008; Jitniyom et al., 2012; Yavuz et al., 2003), while for Cu2 +, over the same adsorbent, maximum adsorption values found were 17.9, 10.8, 17.8 and 42.43 mg g− 1, respectively (Jitniyom et al., 2012; Sdiri et al., 2011; Yavuz et al., 2003; Zhi-rong and Shao-qi, 2010). Surface modification of the adsorbents has been shown to yield significant enhancement of adsorptive capacities (Erdem et al., 2009; Mhamdi et al., 2014), but was not a scope for the current study. Therefore, adsorption capacities determined for allophane samples are comparable to those found in the literature for other natural aluminosilicate-based cation adsorbents. On the case of hysteresis, negative hysteresis for Cd2 + on similar adsorbents was found in literature, including montmorillonite and bentonite samples by Kumar-Saha et al. (2003) and for zeolite by Hamidpour et al. (Hamidpour et al., 2010). Analysing the desorption process, the irreversible retention of Cd2 + ranges from 55.2 to 83.5% and for Cu2 + from 79.0 to 95.0% for NAFeOx and NA, respectively. Itami and Yanai (Itami and Yanai, 2006) studied adsorption/desorption of Cd2 + and Cu2 + on a series of aluminosilicates from mineral deposits, including montmorillonite, sericite and allophane; the authors observed in all cases that desorption process was not complete and a major part of the metallic cations was retained Adsorbent materials were prepared from a low-cost natural source (Andisol) to study the removal of Cd2 + and Cu2 + from aqueous solutions: Allophane coated by its original iron-oxide layer (NA-FeOx) and bare natural allophane (NA). At working pH (5.5) NA was practically at its IEP (5.4) while NA-FeOx (10.3) likely displayed positive surface charge, partially explaining the differences in adsorption capacities observed between the adsorbents. From the kinetic studies, it was determined that the adsorption was fast (1 h), almost unaffected by the presence of the iron oxides and was fitted by the pseudo-second order model. The adsorption isotherm studies showed that NA had a greater adsorption capacity of both Cd+ 2 and Cu+ 2 compared to NA-FeOx. Langmuir and Freundlich adsorption models fit the experimental data well, indicating the adsorption process is likely a combination of physical and chemical phenomena. From Freundlich model parameters analysis it was established that Cd2 + and Cu2 + were adsorbed about 4 and 2 times more strongly over NA surface compared to NA-FeOx, respectively. Desorption studies demonstrated that most of the adsorbed cations were retained by the adsorbent, suggesting irreversible chemical adsorption on specific active sites on the adsorbents. Hysteresis index (HI) confirmed this irreversible behaviour which is advantageous in environmental pollutant removal applications. Supplementary data to this article can be found online at https:// doi.org/10.1016/j.geoderma.2017.12.038. Acknowledgements This work was supported by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT) of Ecuador through the Programa de Estudios de Cuarto Nivel de Formación Académica en el Exterior, Convocatoria Abierta 2011, the Center for the Development of Nanoscience and Nanotechnology (grant number CEDENNA, FB0807), and Proyectos Basales (grant number USA1555) USACH. References Allison, L.E., 1965. Organic Carbon. In: Black, C.A., Evans, D.D., White, J.L., Ensminger, L.E., Clark, F.E. (Eds.), Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties. Agronomy Monograph 9. American Society of Agronomy, Madison, pp. 1367–1378. Arancibia-Miranda, N., Silva-Yumi, J., Escudey, M., 2015. Effect of cations in the background electrolyte on the adsorption kinetics of copper and cadmium and the isoelectric point of imogolite. J. Hazard. Mater. 299, 675–684. Barrett, E.P., Joyner, L.G., Halenda, P.P., 1951. The determination of pore volume and area distribution in porous substances. I. Computation from nitrogen isotherms. J. Am. Chem. Soc. 73, 373–380. Bartoli, F., Poulenard, J., Schouller, B., 2007. Influence of allophane and organic matter contents on surface properties of Andosols. Eur. J. Soil Sci. 58, 450–464. Bolan, N., Mahimairaja, S., Kunhikrishnan, A., Naidu, R., 2013. Sorption–bioavailability nexus of arsenic and cadmium in variable-charge soils. J. Hazard. Mater. 261, 725–732. Brunauer, S., Emmett, P.H., Teller, E., 1983. Adsorption of gases in multimolecular layers. J. Am. Chem. Soc. 60, 309–319. Carter, D., Heilman, M., Gonzalez, C., 1965. Ethylene glycol monoethyl ether for determining surface area of silicate minerals. Soil Sci. 100, 356–361. Clark, C.J., McBride, M.B., 1984. Chemisorption of Cu(II) and Co(II) on allophane and imogolite. Clay Clay Miner. 32, 300–310. Cornell, R.M., Schwertmann, U., 2003. The Iron Oxides Structure, Properties, Reactions, Occurrences and Uses, 2nd ed. Wiley-VCH, Weinheim. De Gisi, S., Lofrano, G., Grassi, M., Notarnicola, M., 2016. Characteristics and adsorption 78 Geoderma 319 (2018) 70–79 J. Silva-Yumi et al. organic matter in the B horizon of an Andosol. Eur. J. Soil Sci. 54, 357–364. Levard, C., Doelsch, E., Basile-Doelsch, I., Abidin, Z., Miche, H., Masion, A., Rose, J., 2012. Structure and distribution of allophanes, imogolite and proto-imogolite in volcanic soils. Geoderma 183–184, 100–108. Mahar, A., Wang, P., Ali, A., Awasthi, M., Lahori, A., Wang, Q., Li, R., Zhang, Z., 2016. Challenges and opportunities in the phytoremediation of heavy metals contaminated soils: a review. Ecotoxicol. Environ. Saf. 126, 111–121. Matsuyama, N., Saigusa, M., Sakaiya, E., Tamakawa, K., Oyamada, Z., Kudo, K., 2005. Acidification and soil productivity of allophanic andosols affected by heavy application of fertilizers. Soil Sci. Plant Nutr. 51, 117–123. Mehra, O., Jackson, L., 1960. Iron oxide removal from soils and clays by a dithionitecitrate system buffered with sodium bicarbonate. Clay Clay Miner. 7, 317–327. Mella, A., Kuhne, A., 1985. Sistemática y descripción de las familias, asociaciones y series de suelos derivados de materiales piroclásticos de la zona central sur de Chile. In: Tosso, J. (Ed.), Suelos volcánicos de Chile. INIA, Santiago, pp. 635–636. Mhamdi, M., Elaloui, E., Trabelsi-Ayadi, M., 2014. Kinetics of cadmium adsorption by smectite of Oued Tfal (Gafsa Basin). Desalin. Water Treat. 52, 4245–4256. Michalkova, Z., Komarek, M., Sillerova, H., Della Puppa, L., Joussein, E., Bordas, F., Vanek, A., Vanek, O., Ettler, V., 2014. Evaluating the potential of three Fe- and Mn(nano)oxides for the stabilisation of Cd, Cu and Pb in contaminated soils. J. Environ. Manag. 146, 226–234. Molina, M., Aburto, F., Calderón, R., Cazanga, M., Escudey, M., 2009. Trace element composition of selected fertilizers used in Chile: phosphorus fertilizers as a source of long-term soil contamination. Soil Sediment Contam. 18, 497–511. Mora, M., Escudey, M., Galindo, G., 1994. Síntesis y caracterización de suelos alofánicos. Bol. Soc. Chil. Quim. 39, 237–243. Mosa, K.A., Saadoun, I., Kumar, K., Helmy, M., 2016. Potential biotechnological strategies for the cleanup of heavy metals and metalloid. Front. Plant Sci. 7, 1–14. Parker, D., Norvell, W., Chaney, R., 1995. GEOCHEM-PC - a chemical speciation program for IBM and compatible personal computers. In: Loeppert, R.H., Schwab, A.P., Goldberg, S. (Eds.), Chemical Equilibrium and Reaction Models. Soil Science Society of America, Madison, pp. 253–269. Pizarro, C., Furet, N., Venegas, R., Fabris, J., Escudey, M., 2000. Some cautions on the interpretation of Mossbauer spectra in mineralogical studies of volcanic soils. Bol. Soc. Chil. Quim. 45, 243–250. Pokrovsky, O.S., Probst, A., Leviel, E., Liao, B., 2012. Interactions between cadmium and lead with acidic soils: experimental evidence of similar adsorption patterns for a wide range of metal concentrations and the implications of metal migration. J. Hazard. Mater. 199-200, 358–366. Sdiri, A., Higashi, T., Hatta, T., Jamoussi, F., Tase, N., 2011. Evaluating the adsorptive capacity of montmorillonitic and calcareous clays on the removal of several heavy metals in aqueous systems. Chem. Eng. J. 172, 37–46. Suda, A., Makino, T., 2016. Functional effects of manganese and iron oxides on the dynamics of trace elements in soils with a special focus on arsenic and cadmium: a review. Geoderma 270, 68–75. Sullivan, P.J., 1977. The principle of hard and soft acids and bases as applied to exchangeable cation selectivity in soils. Soil Sci. 124, 117–121. Uddin, M., 2017. A review on the adsorption of heavy metals by clay minerals, with special focus on the past decade. Chem. Eng. J. 308, 438–462. Uwamariya, V., Petrusevski, B., Lens, P.N.L., Amy, G.L., 2016. Effect of pH and calcium on the adsorptive removal of cadmium and copper by iron oxide-coated sand and granular ferric hydroxide. J. Environ. Eng. 142 (C4015015), 1–9. Worch, E., 2012. Adsorption Technology in Water Treatment. Hubert and Co, GmbH and Co, Gottigen. Yan, L., Li, S., Yu, H., Shan, R., Du, B., Liu, R., 2016. Facile solvothermal synthesis of Fe3O4/bentonite for efficient removal of heavy metals from aqueous solution. Powder Technol. 301, 632–640. Yavuz, O., Altunkaynak, Y., Guzel, F., 2003. Removal of nickel, cobalt and manganese from aqueous solution by kaolinite. Water Res. 37, 948–952. Yuan, G., Wada, S., 2012. Allophane and imogolite nanoparticles in soil and their environmental applications. In: Barnard, A.S., Guo, H. (Eds.), Nature's Nanostructures. Pan Stanford Publishing Pte. Ltd., Singapore, pp. 493–553. Zhi-rong, L., Shao-qi, Z., 2010. Adsorption of copper and nickel on Na-bentonite. Process. Saf. Environ. Prot. 88, 62–66. capacities of low-cost sorbents for wastewater treatment: a review. Sustain. Mater. Technol. 9, 10–40. Erdem, B., Ozcan, A., Gok, O., Ozcan, A.S., 2009. Immobilisation of 2,2-dipyridyl onto bentonite and its adsorption behaviour of copper(II) ions. J. Hazard. Mater. 163, 418–426. Escudey, M., Galindo, G., Ervin, J., 1986. Effect of iron oxide dissolution treatment on the isoelectric point of allophanic soils. Clay Clay Miner. 34, 108–110. Escudey, M., Forster, J.E., Galindo, G., 2004. Relevance of organic matter in some chemical and physical characteristics of ash-derived soils. Commun. Soil Sci. Plant Anal. 35, 781–797. Evangelou, V.P., 1998. Environmental Soil and Water Chemistry Principles and Applications. John Wiley & Sons Inc., Toronto. Filimonova, S., Kaufhold, S., Wagner, F., Hausler, W., Kogel-Knabner, I., 2016. The role of allophane nano-structure and Fe oxide speciation for hosting soil organic matter in an allophanic Andosol. Geochim. Cosmochim. Acta 180, 284–302. Freud, P.J., 2007. Nanoparticle Sizing - Dynamic Light Scattering Analysis in the Frequency Spectrum Mode. (Application Report: SL-AN-14 Revision E). Retrieved from Microtrac Inc. website: https://www.microtrac.com/MTWP/wp-content/ uploads/2012/10/Microtrac-Application-Notes-Nanoparticle-Sizing-Dynamic-LightScattering-Analysis-in-Frequency-Spectrum-Mode.pdf. Giles, C., Smith, D., 1974. A general treatment and classification of the solute adsorption isotherm. I. Theoretical. J. Colloid Interface Sci. 47, 755–765. Gupta, S.S., Bhattacharyya, K.G., 2008. Immobilisation of Pb(II), Cd(II) and Ni(II) ions on kaolinite and montmorillonite surfaces from aqueous medium. J. Environ. Manag. 87, 46–58. Hamidpour, M., Kalbasi, M., Afyuni, M., Shariatmadari, H., Holm, P., Christian, H., Hansen, B., 2010. Sorption hysteresis of Cd (II) and Pb (II) on natural zeolite and bentonite. J. Hazard. Mater. 181, 686–691. Hashim, M., Mukhopadhyay, S., Narayan, J., Sengupta, B., 2011. Remediation technologies for heavy metal contaminated groundwater. J. Environ. Manag. 92, 2355–2388. Hegazi, H., 2013. Removal of heavy metals from wastewater using agricultural and industrial wastes as adsorbents. HBRC. J. 9, 276–282. Henmi, T., Wada, K., 1976. Morphology and composition of allophane. Am. Mineral. 61, 379–390. Hirzel, J., Undurraga, P., Gonzalez, J., 2011. Chemical properties of volcanic soil affected by seven-year rotations. Chil. J. Agr. Res. 71, 304–312. Hua, M., Zhang, S., Pan, B., Zhang, W., Lv, L., Zhang, Q., 2012. Heavy metal removal from water/wastewater by nanosized metal oxides: a review. J. Hazard. Mater. 211–212, 317–331. Hunter, R.J., 1983. Zeta Potential in Colloid Science. Principles and Applications. Academic Press, London. Ihsanullah, A.A., Al-Amer, A.M., Laoui, T., Al-Marri, M.J., Nasser, M.S., Khraisheh, M., Atieh, M.A., 2016. Heavy metal removal from aqueous solution by advanced carbon nanotubes: critical review of adsorption applications. Sep. Purif. Technol. 157, 141–161. Itami, K., Yanai, J., 2006. Sorption and desorption properties of Cadmium and Copper on soil clays in relation to charge characteristics. Soil Sci. Plant Nutr. 52, 5–12. Jitniyom, K., Suddhiprakarn, A., Kheoruenromne, I., 2012. In: Adsorption of lead, zinc, copper and cadmium of smectite. Proceedings of the 50th Kasetsart University Annual Conference, 2012. 2. Kasetsart University, Thailand, pp. 136–143. de Kanter, M., Meyer-Kirschner, J., Viell, J., Mitsos, A., Kather, M., Pich, A., Janzen, C., 2016. Enabling the measurement of particle sizes in stirred colloidal suspensions by embedding dynamic light scattering into an automated probe head. Measurement 80, 92–98. Kaufhold, S., Kaufhold, A., Jahn, R., Brito, S., Dohrmann, R., Hoffmann, R., Gliemann, H., Weidler, P., Frechen, M., 2009. A new massive deposit of allophane raw material in Ecuador. Clay Clay Miner. 57, 72–81. Kumar-Saha, U., Iwasaki, K., Sakurai, K., 2003. Desorption behavior of Cd, Zn and Pb sorbed on hydroxyaluminum- and hydroxyaluminosilicate-montmorillonite complexes. Clay Clay Miner. 51, 481–492. Kunze, G., Dixon, J., 1965. Pretreatment for mineralogical analysis. In: Campbell, G.S., Jackson, R.D., Mortland, M.M., Nielsen, D.R., Klute, A. (Eds.), Methods of Soil Analysis Part 1 - Physical and Mineralogical Methods. American Society of Agronomy, Madison, pp. 568–577. Latrille, C., Denaiz, L., Lamy, I., 2003. Interaction of copper and zinc with allophane and 79