Advanced Search
RSS LinkedIn Twitter

Journal Archive

Johnson Matthey Technol. Rev., 2016, 60, (1), 59

doi:10.1595/205651316x690178

Uranium Remediation by Ion Exchange and Sorption Methods: A Critical Review

Various types of solid phase sorbents are studied and evaluated

  • By Edward Rosenberg*, Glenn Pinson and Ranalda Tsosie
  • Department of Chemistry and Biochemistry, University of Montana, Missoula, MT, USA
  • *Email: Edward.Rosenberg@mso.umt.edu
  • Hlanganani Tutu and Ewa Cukrowska
  • Environmental and Analytical Chemistry, School of Chemistry, University of Witwatersrand, Johannesburg, South Africa
SHARE THIS PAGE:

Article Synopsis

The solid phase materials or sorbents applied to the removal of uranium from industrial waste streams and surface waters are reviewed. The speciation of the element in the environment is discussed. A series of examples on uranium remediation from the recent literature using the different kinds of solid phase sorbents are reviewed in detail and evaluated. The criteria for making the best choice of ion exchanger are discussed with suggestions for further evaluation of the described technologies.

1. Introduction

1.1 General Background on the Element

As the world's consumption of energy increases there has been an increased interest in nuclear energy. Uranium is one of the most common elements used in nuclear reactors as well as in weapons and other military uses. It is the heaviest and most abundant naturally occurring radioactive element, making up 2.4 mg kg−1 of the earth's crust. It can be easily dissolved, transported and precipitated within ground and surface waters by slight changes in the environment. With half-lives of millions to billions of years, uranium atoms slowly break down to a host of radioactive byproducts: thorium-230, radium-226, radon-222 and the radon daughters: lead-210 and polonium-210 (1, 2). For uranium to be used as an energy source, the ore must be enriched to obtain higher concentrations of a particular isotope, 235U. 235U is fissionable and releases a large amount of energy in the form of heat but also produces large amounts of radioactive waste. Currently, the spent uranium can only be stored, reprocessed or disposed of underground (3).

U(IV) is stable in reducing environments, is slightly soluble and is the least mobile form of uranium. Uraninite (UO2+x ) is the most common reduced mineral species and is the main ore mineral in many uranium deposits (2). U(VI) is stable in oxidising environments and its compounds are the most soluble and therefore the most mobile (4, 5). It can also form complexes with hydroxides, carbonates, sulfates and phosphates (5). Therefore, in the presence of oxygen U(IV) is oxidised to U(VI) which allows the uranium to dissolve in water as the uranyl cation (UO22+). The dissolution of uraninite is shown in Equation (i).

rosenberg-eq1_NEW (i)

1.2 Uranium Speciation

Recovery of uranium from surface and ground water waste streams depends strongly on the type of uranium species in solution. Determining the distribution of these species is a complex analytical problem and various extraction techniques are required to determine speciation (68). These species can be in the form of colloids or dissolved ions. Extraction is therefore not an ideal method for determining uranium speciation because the process can change the original species present (8). In aqueous environments uranium speciation can be determined by computational modelling and analytically. However, analytical methods remain to be improved. Therefore much of the speciation of uranium is determined by thermodynamic speciation modelling that uses the equilibrium constants or the Gibbs free-equation to arrive at species distribution (8). We present here three Eh-pH diagrams that illustrate the variability of speciation under different environmental conditions.

The speciation diagram for uranium where the total [U] = 1 M is shown in Figure 1 (9). In a reducing environment the major species in solution is neutral UO2, over a wide range of pH, making ion exchange useless under these conditions as a method of uranium recovery. This occurs in humic soils. Under oxidising conditions, as in surface waters, the uranyl cation, UO22+, is predominant only at very low pH and would be an important species in acid mine drainage, accompanied by hydroxide-bridged cationic uranium cluster species. At higher pH hydrolysis of uranyl leads to the formation of neutral oxo-hydroxo-species such as UO2(OH)2 (Figure 1). Thus in the absence of other coordinating ions ion exchange would be limited for uranium remediation.

Fig. 1.  [corr]

Uranium Eh/pH diagram for high uranium concentration (total [U] = 1M) (dashed lines represent the zone of stability for water) (9)

Uranium Eh/pH diagram for high uranium concentration (total [U] = 1M) (dashed lines represent the zone of stability for water) (9)

At low total [U] the speciation changes drastically. The UO22+ along with crystalline U4O9 are the major species in an oxidising environment up to about pH = 5.5 (Figure 2) (10, 11). Above this pH neutral and anionic hydroxyl complexes are the major species and in reducing environments UO2 is again the major species. Thus at low [U] the uranyl cation becomes more dominant making cation exchange more useful in the absence of other ligands such as sulfate and carbonate.

Fig. 2.

Uranium Eh/pH diagram for low uranium concentration (total [U] =10 μM) (dashed lines represent the zone of stability for water) (10, 11)

Uranium Eh/pH diagram for low uranium concentration (total [U] =10 μM) (dashed lines represent the zone of stability for water) (10, 11)

In air, with carbon dioxide concentrations of 0.3% the picture changes again. UO22+ is still the dominant species up to about pH = 5, but above pH = 7 anionic carbonate complexes become important, making anion exchange a viable option (Figure 3) (12). The exceptional stability of these carbonate complexes makes their formation favourable over a wide range of concentrations such as those referred to in Figures 1 and 2. Modelling of these uranium solutions suggests that under reducing conditions UO2 exists in its hydrated form, shown as U(OH)4 in Figure 3.

Fig. 3.

Uranium speciation in air in the presence of 0.3% carbon dioxide (12)

Uranium speciation in air in the presence of 0.3% carbon dioxide (12)

To summarise, because the UO22+ is a strong Lewis acid it can complex with many different compounds via oxygen atoms especially in natural waters. At dilute concentrations (<10−6 M) UO2(OH)+ is the dominant hydrolysed species and above this concentration a mixture of UO2(OH)2, UO3(OH)42− and UO2(OH)53− forms are also observed. In seawater, uranium exists in the form of carbonate complexes, such as UO2(CO3)34−, UO2(CO3)32− and UO2(CO3) (12).

In consideration of the discussion above it is imperative that a detailed study of the environment must be taken into account when considering a U remediation project. This type of sensitivity is not peculiar to U, but is also important for other metals in their higher oxidation states such as manganese, vanadium, molybdenum and tungsten. It should be noted here that that acid mine drainage in general is often characterised by high sulfate which complexes with uranium. These are discussed in Section 2.1. Although 1 M total [U] is never found in waste streams, comparison of Figure 1 with Figures 2 and 3 provides a view towards the sensitivity of uranium to changes in concentration.

2. Examples of Uranium Recovery with Polymer Based Adsorbents

Ion exchange resins based on organic polymers, specifically polystyrene, are by far the most widely used solid phase sorbents for remediation and recovery of toxic and valuable metals. The functional groups used for uranium are varied and include amidoxime on polystyrene and on acrylic based copolymers and fibres (1315). Most recently, magnetic core-shell particles coated with functionalised polymers have been employed for uranium recovery (16, 17). The three case studies discussed here use commercially available polystyrene resins and focus on the three types of uranium streams encountered in the industries associated with uranium mining and processing: (i) ore processing; (ii) recovery of uranium from industrial waste; (iii) recovery of uranium from acid mine drainage.

2.1 Recovery of Uranium From Acid Leaches of Ores as Sulfate Complexes

The overall process used for uranium ore enrichment and recovery is given in Scheme I and the chemical composition of the ore is given in Table I (18). The ore was leached with 50 g l−1 H2SO4 and the final pH adjusted to 1.5 with ammonia. At this pH a clear solution was obtained that contained 1.163 g l−1 U, 1 g l−1 Fe, 25 ppm V and 0.52 g l−1 P. 150 mL of ammonia was required to neutralise 4 l of leach solution. The conditions for treating the 4 l of leach by ion exchange are given in Table II.

Table I

Composition of the Uranium Ore (18)

Chemical composition SiO2 Al2O3 Fe2O3 CaO U PO4
Content, % 65 15 10 0.01 0.2 0.1
Table II

Conditions for Fixation of the Ore Leach on the Ion Exchange Column (18)

Condition, units Value
Internal diameter of resin column, cm 0.5
Height of resin bed in column, cm 43
Resin volume, ml 20
Flow rate, ml min−1 2.23
Retention time, min 3.6
Bed volume, ml 20
Scheme I.

Stepwise process for concentration and recovery of uranium from an ore (18)

Stepwise process for concentration and recovery of uranium from an ore (18)

The Type I strong base anion resin, Amberlite® IRA-400, that has a trimethyl ammonium ion on cross-linked polystyrene in the chloride form was used for the ion exchange step. The ion exchange process used to extract uranium from the leaching solution is based on the high binding constants of the anionic sulfate complexes of uranium relative to the anion on the anion exchange resin (chloride) primarily due to their higher negative charge. The uranium is fixed primarily as a 3:1 complex and to a lesser extent as a 2:1 complex (Equations (ii)–(iv)) (19):

rosenberg-eq2_NEW (ii)
rosenberg-eq3_NEW (iii)
rosenberg-eq4_NEW (iv)

The uranium fixation reaction is shown in Equation (v):

rosenberg-eq5_NEW (v)

where R = resin; X = HSO4; Cl; NO3.

The major species in solution is the uranyl trisulfate tetra-anion. In principle, this anion will take up four strong base sites and so loading effective concentrations of the feed will be limited. The high charge on this anion also leads to poor stripping. Thus, although the capacity of the resin was high at 67.2 g U l−1 resin, the concentration factor was negative. The final strip solution had 1.0 g U l−1 and was 1.63 g U l−1 solution before ion exchange. Stripping the column required over 200 ml of dilute nitric acid. Anionic ferric sulfate complexes competed with the U sulfate complexes. The percent recovery from the feed was only 75%. The overall process is fairly efficient but the poor capacity of the resin and the large amount of the expensive nitric acid needed for stripping could make this process noncompetitive with the alternative, solvent extraction (20).

2.2 Recovery of Uranium from Carbonate Solutions of Industrial Waste Streams

Uranium carbonate industrial waste streams from a Brazilian nuclear production plant were treated by an ion exchange process using a Type II strong base anion exchange resin, IRA-910A with a dimethyl 2-hydroxy ethyl functional group (21). The stream needed to be boiled for 6 h to lower the total carbonate concentration before it could be treated. In order for ion exchange to be effective total carbonate concentration has to be <5 g l−1. Table III describes the chemical composition of the waste stream before and after carbonate removal.

Table III

Chemical Composition of the Waste Stream Before and After Carbonate Removal (21)

Analyses Units Original industrial effluent Industrial effluent after carbonate removal
U mg l−1 43 63
CO32− g l−1 170.9 4.0
F g l−1 0.35 0.5
NH3 g l−1 78.4 9.0
Fe mg l−1 2 3
Na mg l−1 <0.1 <0.1
pH 10.1 9.7

The breakthrough and stripping profiles under various loading rates and with different stripping solutions are shown in Figure 4. Flow rate did not have a big effect on breakthrough but stripping with various carbonate solutions did.

Fig. 4.

(a) Breakthrough and (b) elution profiles for uranium recovery from industrial waste (21)

(a) Breakthrough and (b) elution profiles for uranium recovery from industrial waste (21)

The best strip was with 3 M carbonate, which gave a U concentration of 2.7 g l−1, a respectable concentration factor of about 43. Interestingly, the uranium-depleted effluent could be used for the strip and gave a concentration of 2.3 g l−1 after dilution from 2.3 M to 1.3 M carbonate concentration. The final effluent contained <4 mg l−1 uranium which met the plant specifications but is well above the Brazilian government's recommended release level of 0.02 mg l−1 (see Table IV). However, it should be pointed out that without further dilution or a polishing step this level of uranium is still highly dangerous from a toxicity point of view, especially if the effluent is discharged into surface waters. The authors did not specify this.

Table IV

Chemical and Radiochemical Analysis of the Acid Mine Water (23)

Determination Acid mine watera Permissible level
U 12.0 0.02
Th 0.8 b
226Ra 3.5 Bq l−1 b
Mn 173.0 1.0
Ca 158.0 b
Mg 8.9 b
Al 170.4 b
Zn 41.0 5.0
Fe 180 15.0
SO42− 1400 b
F 110 10.0
SiO2 57.0 b
pH 2.7 6.0−9.0

aUnless indicated, units are expressed in mg l−1 (except pH)

bPermissible level not defined by Brazilian legislation CONAMA 357/2005

An older report on the removal of uranium carbonate from industrial waste is discussed here as it contains important information on the effect of competing ions and used a more dilute uranium carbonate feed (22). The authors used a strong base anion exchange resin and although they did not specify the exact nature of the resin it is assumed here that it was a Type II resin based on the fact that the more recent studies used this type of resin. Two feed solutions were tested. Solution A contained 0.010 M carbonate and comparable amounts bicarbonate, chloride and sulfate as their sodium salts while Solution B contained only 35 × 10−4 M carbonate and both solutions contained 7 × 10−4 M uranium added as UO2(NO3)2 (Table V).

Table V

Composition of the Feed Solutions and Column Configuration (22)

Run Solution components, mol l−1 pH
Na2CO3 NaHCO3 NaCl Na2SO4
A 0.010 0.025 0.015 0.010 3.0−9.0
B 35.70 × 10−4 5.0−9.1

Concentration of uranium: 7.14 × 10−4 mol l−1 UO2(NO3)2. Column configuration: ID = 0.8 cm, length = 10 cm. Resin weight = 0.5 g

When tested individually all the ions in Solution A as well as UO2(CO3)34− showed adsorption isotherms that obeyed the Langmuir and Freundlich models starting with the chloride form of the resin. Correlation coefficients were very good, with the Freundlich model showing a better correlation for UO2(CO3)34−, 0.99 versus 0.87 for the Langmuir model. These equilibrium studies allowed the establishment of a selectivity order for the competing ions: UO2(CO3)34−>> NO3 >> SO42− ∼ CO32− > HCO3 > Cl with selectivity coefficients of 537, 98, 7.5, 7.4 and 5.2. The pH at which this order of selectivity was established was not provided for the equilibrium isotherm studies but maximum loading of UO2(CO3)34− occurs at pH = 6.5−7.0. Table VI shows the pH dependence of uranium loading for Solutions A and B. It can be seen that the presence of competing ions had only a slight effect on uranium loading, peaking at 6.5−7.0 in agreement with the reported selectivity values (Table VI). Subsequent spectroscopic studies suggested that at the optimal loading a portion of the uranium is converted to U2O72−. The lower charge on this species accounts for the increased loading of uranium at pH = 6.5−7.0.

Table VI

pH Dependence of Uranium Loading for Solutions A and B (22)

Uranium loading capacity from composition of A at different pH values
pH
3.0 4.0 5.0 6.0 6.5 7.0 8.0 9.0
mg U g−1 dry resin 199 223 271 370 352 235 183 171
Relative loading capacity 1.16 1.30 1.58 2.16 2.06 1.37 1.07 1
Uranium loading capacity from composition of B at different pH values
pH
5.0 6.0 6.5 7.0 7.5 8.0 9.1
mg U g−1 dry resin 49 300 398 423 392 188 179
Relative loading capacity 0.27 1.68 2.22 2.36 2.19 1.05 1

Although uranium loading showed a clear maximum at pH = 6.5−7.0 stripping with neutral salts such as NaCl or NaNO3 only recovered ∼60% of the uranium loaded at this pH. Stripping with additional ethanol or HCl did not recover any significant amounts of uranium. Stripping with Na(NO)3 was very efficient for columns loaded at pH = 9, but loading was much lower at this pH (Table VI). The authors did not consider using a carbonate leach at high pH as suggested by the observed selectivity coefficients and by the equations governing the conversion of UO2(CO3)34− to the apparently nonexchangeable U2O72− in the resin phase (Equation (vi)):

rosenberg-eq6_NEW (vi)

where R = resin site.

Overall taking the two studies together, it would appear that loading at pH = 6.5−7.0 and stripping with carbonate at pH >9.0 would be the best approach, even in the presence of significant amounts of competing ions.

2.3 Removal of Uranium from Acid Mine Drainage using Strong Base Ion Exchange Resins

This study compared the effectiveness of Type I (DowexTM MarathonTM A) with Type II (Amberlite® IRA-410u) strong base resins (Figure 5) for the removal of uranium from high sulfate acid mine drainage (23). Table VI shows the chemical and radiochemical profile of the waste stream. The uranium is present as sulfate complexes and considering the large excess of sulfate and the low pH the major species in solution is likely UO2(SO4)34− (Equations (ii)–(iv)). The other ions in solution are present as cations except for sulfate, silicate and fluoride which have lower negative charges but could compete with the UO2(SO4)34−. Column experiments were performed on 5.0 ml volumes of each resin at pH values of 2.7 and 3.9 in a 1.2 cm ID column at a flow rate of 24 BV h−1 (Figure 6). The Type II resin IRA-410u performed significantly better than DowexTM A (Table VII). Both resins performed at only about 40–60% of their theoretical value (1 equiv. g−1 for IRA-410u and 1.3 equiv. g−1 for DowexTM) probably because of the interference of other anions. However, the authors were unclear about whether these theoretical values took into account the higher negative charges on the sulfate complexes. Performance was slightly better for both resins at the higher pH. Sulfate and fluoride levels were monitored and revealed that indeed sulfate does compete but fluoride does not (Figures 7(a) and 7(b)).

Table VII

Maximum Loading Capacities and Distribution Coefficients for Uranium (23)

DowexTM A588964357279

Resin KD, ml g−1 Qmax, mg U g−1 resin
pH 2.7 PH 3.9 pH 2.7 pH 3.9
IRA-910U 6667 6887 100 108
Fig. 5.

Structure of the silica bound cyclam ligand (41)

Structure of the silica bound cyclam ligand (41)

Fig. 6.

Adsorption profile for uranium on the two strong base resins. Flow rate = 2.0 ml min−1, bed volume = 5.0 ml, 24 BV h−1 (23)

Adsorption profile for uranium on the two strong base resins. Flow rate = 2.0 ml min−1, bed volume = 5.0 ml, 24 BV h−1 (23)

Fig. 7.

(a) Sulfate comes through at the feed concentration up to 900 BV and then increases indicating sulfate adsorption in competition with U; (b) fluoride comes through at the feed level all the way through indicating no adsorption (23)

(a) Sulfate comes through at the feed concentration up to 900 BV and then increases indicating sulfate adsorption in competition with U; (b) fluoride comes through at the feed level all the way through indicating no adsorption (23)

The authors report an economic analysis of the uranium recovery based on the adsorption data. However, this is meaningless in the absence of elution data, especially in light of the poor stripping reported for the sulfate complexes above (21). The value of this study is the demonstration that Type II resins work better than Type I strong base resins and that unbound sulfate competes with the uranium sulfate complexes. No cycle testing is provided. In the absence of this data the scale up analysis reported in the paper is of little value.

3. Uranium Removal Materials Based on Silica and Other Inorganic Matrices: Overview

In the past 20 years there has been considerable development in the area of silica gel based chelator materials for metal ion removal and recovery. This is due, in part, to the development of new methods for synthesising silica gels but also because silica gel offers some advantages over the widely used and highly developed polymer based materials (Section 2). Silica gel does not shrink or swell with changes in pH or temperature and has a hydrophilic surface that affords faster mass transfer kinetics (24). On the other hand, strong alkali degrades silica while polystyrene is quite stable at high pH. In general, polystyrene shows more resistance to mechanical shock but has a higher cross section for neutron capture limiting its use for actinide separations and recoveries. Each matrix has its advantages and disadvantages and these will be summarised later in this review.

Silica gels used as solid phase sorbents are of two general types, amorphous silica gels and mesoporous silica gels. Amorphous silica gels are made by the fusion of sodium carbonate and silicates at high temperature (∼1100°C) to produce sodium silicate (water glass), which is dissolved in water and then reprecipitated with acid under carefully controlled conditions. The porosity, particle shape and size are very sensitive to the precipitation conditions and subsequent curing. The conditions for precipitation used in industry are proprietary. The silica gels available commercially for use as solid-phase sorbents can be made in a wide range of particle sizes (25–500 μm) and all have high porosities and surface areas. Table VIII illustrates the physical properties of the midrange particle sizes available from different suppliers (24). Amorphous silica gels can also be made as nanoparticles (25). As expected, these have much lower porosities but higher total surface areas. Amorphous silica gels can also be made by the sol-gel route using siloxanes (Si(OR)4) and functionalised siloxanes (SiR(OR)3) that provide direct functionalisation of the surface (26). This approach offers more control over pore-size distribution, a parameter that can affect the uniformity of mass transfer kinetics in ion exchange applications. The sol-gel method can afford much narrower pore size distributions (26). Most recently, it has been shown that rice hull ash can be converted to amorphous silica gel by simply extracting the material with 1 M sodium hydroxide and then precipitating with acid. The resulting gel can be converted into useful solid phase sorbents but lack the mechanical strength of the commercially available amorphous gels (27).

Table VIII

Physical Properties of Commercially Available Amorphous Silica Gels (24)

Supplier Diameter, mm Pore diameter, Å Pore volume, ml g−1 Porosity, % Surface area, m2 g−1
Crosfield 90−105 267 2.82 84.7 422
Qingdao Haiyang 150−250 194 2.39 85.0 493
Qingdao Meigao 180−250 378 2.86 85.3 303
Nanjing 180−250 164 2.30 85.8 561
Nanjing Tianyi 80−250 150 2.28 85.6 526

Mesoporous silica gels differ from amorphous silica gels in that they are ordered phases made by the sol-gel method using a templating agent, usually a detergent such as cetyl ammonium bromide (28) or more recently block copolymers containing hydrophilic and hydrophobic segments (29). The block copolymers provide the option of removing the template by solvent extraction while the ionic detergent requires calcination at 400–500°C. Both methods provide highly ordered phases of nanoparticles with pore diameters in the 2–10 nm range with very high surface areas (>700 m2 g−1) and good mechanical strength. Commercially available mesoporous silica gels are marketed by many suppliers as MCM-41 and SBA-15, which differ slightly in their physical properties. Because these mesoporous silica gels are made by the sol-gel method they offer the opportunity of direct surface functionalisation using Si(OR)4 and SiR(OR)3 (26, 29).

For the purposes of uranium recovery and remediation the cheaper more porous amorphous silica gels are probably a better choice than the mesoporous gels, while for catalysis the higher surface area and more mechanically strong mesoporous materials, and the related zeolites, are a better choice. In comparing the silica matrix with the polymer based materials described in Section 2, the latter have seen a much wider use, but as described at the beginning of this section silica gel offers some distinct advantages.

3.1 Commercially Available Silica Based Ion Exchange Materials

Steward Advanced Materials, USA, offers Self Assembled Monolayers of Mesoporous Silica (SAMMS®) functionalised with 3-propane thiol for gold, silver and mercury recovery. The ordered silica pores are very small but form a high surface area-ordered material. The silica matrix is made using a detergent template followed by calcination. These materials were developed at Pacific Northwest Labs by the group of Glen Fryxell and have been used in a variety of metal capturing applications, including uranium that will be discussed in Section 3.3.2. The materials show high capacity but are difficult to strip and are expensive to produce. This material has not seen widespread use in the base metals industry. There are many studies on their use for actinide metal recovery, but none on the commercial scale.

IBC Advanced Technologies, USA, makes both polystyrene and silica based materials modified with macrocyclic ligands that are highly selective for a given metal. The ligands work on so-called molecular recognition technology (MRT) and are based on size selectivity rather than covalent binding constants. They are quite expensive but according to their website this technology has seen a wide range of applications in the mining industry. The company has presented the results of these projects at numerous conferences but access to the actual data is limited and their product web pages come up blank.

SiliCycle Inc, located in Quebec, Canada, markets a selection of metal scavenging agents based on silica gel modified with propyl groups bearing a purportedly selective metal scavenging agent. Ligand loadings vary from 0.3 to 1.2 mmol g−1, slightly lower than related polymer based materials. They have lower bulk densities than polystyrene sorbents similar to silica polyamine composites (SPC) (vide infra ). Pore size is quoted at 6 nm, in the same range as that reported for both amorphous and mesoporous silica gels with particle sizes in the range of 40–60 μm. The website does not provide metal capacities or longevity data for the materials. The website offers quantities of up to 500 g but states that bulk quantities are available. These amino propyl resins (SiliaBond® Amine) do not stand up well to repeated use and the EDTA modified propyl silanes (SiliaMetS® Triaminetetraacetic Acid (TAAcOH)) actually lose capacity with increasing pH (30). Finally, all of these products list very general metal selectivity according to the website without any quantitative data on preferences within mixtures. Metals are listed as scavengers or preferred scavengers. No uranium selective adsorbents are listed on the website. The main application of these materials is most likely the removal of excess metals after a bench scale chemical reaction.

Johnson Matthey Plc is currently developing a series of silica polyamine composites (SPC) that use a chloropropyl/methyl silane mixture to modify an amorphous silica gel surface that is subsequently treated with polymeric amines, and then further modified with metal selective ligands (31, 32). The polyamine surface is much more robust than the aminopropyl modified surface in that the multipoint anchoring provides a more stable composite surface and elevating the metal capturing ligand away from the surface eliminates ligand interactions with the surface. This group of sorbents has been extensively compared with polystyrene analogues and offer distinct advantages. Separations are sharper as a result of better column utilisation factors, no shrink-swell during pH changes and lower bulk densities (33). Functionality is available over a range of metal selective ligands, including analogues of the strong base resins (34, 35) and amino phosphonic acid groups that have been applied to uranium remediation (vide infra) (36). These materials have been employed on a large scale by the mining industry for remediation and recovery of transition metals.

3.2 Silica Based Hybrid Materials for Uranium Recovery

The literature is full of sorbents based on mesoporous and amorphous silica gels. Their surfaces allow a wider degree of functionalisation relative to organic polymers because the silanisation step offers an almost infinite choice of functional groups that can be further modified (3739). Here, we have chosen representative examples of inorganic and hybrid materials that have been specifically designed for uranium recovery from waste streams.

3.2.1 Uranium Recovery with Chelator Ligands Bound to Amorphous Silica

Murexide is a commonly used organic indicator that changes colour on complexation with metals. Recently, this commercially available ligand has been bound to silica gel and has shown a high affinity for uranyl ion and for thorium (Scheme II) (40). These investigators used acid-activated amorphous silica (6 nm pore diameter, 63–212 μm). The resulting murexide composite showed very good capacities for uranyl ion over a wide pH range with a maximum batch capacity of 1.13 mmol g−1 at pH = 5.5. Flow capacities of ∼0.5 mmol g−1 were realised at relatively rapid flow rates of 10 ml min−1. The material could be regenerated efficiently with 0.1 M HCl but no cycle testing is reported and the actual loading of the murexide ligand is not reported. This could have been easily done by nitrogen analysis before and after reaction of murexide with the amino propyl modified silica. The most appealing aspect of this new ligand is its high degree of selectivity for uranyl ion. It shows exceptionally high selectivity values for uranium versus other anions and cations (selectivities of 70–1000) with only Zr4+ and Th4+ and the anions VO3−, PO43− and C2O42− causing significant interference (Table IX).

Table IX

Tolerance for Competing Ions for the Murexide Modified Silica Gel (40)

Foreign ion Tolerance limita
K+, Cl, Na+, NO3, CH3CO2 >1000
I, SO42−, Cd2+, Tl+, Mg2+,
Ca2+, Ni2+, Cu2+, Pb2+, Zn2+
1000
La3+, Ce3+, Al3+, MoO42−, Cs+ 100
Fe3+, Co2+, Zn2+, Cr3+ 70
VO3, PO43−, C2O42− 7
Th4+, Zr4+ 2

aThe concentration ratio of the foreign ions to the U(VI) ions

Scheme II.

Protection and binding to silica of the HOPO ligand (40)

Protection and binding to silica of the HOPO ligand (40)

Another class of ligand that has shown excellent properties for uranyl ion recovery are the carboxylate modified cyclams bound to silica (Figure 5) (41). The silica gel used was Kieselgel 60 (bead size 0.2–0.5 mm, 35–70 Mesh, specific area 550 m2 g−1).

These composites were made by either adding the cyclam to a 3-chloropropyl group on silica followed by reaction of the remaining three N atoms with an acrylic acid or by preassembly of the trimethoxysilyl-tris-acrylate ligand to the chloropropyl surface.

Different cyclams were grafted to silica gel and the best performance was obtained with the cyclam shown in Figure 5. As expected from the Eh-pH diagrams (Figures 1 to 3) in the introduction the highest uranium capacity was obtained at pH = 4–5 (dynamic Kd = 158 ml g−1 at pH = 4). This study reports regeneration studies with very little loss in capacity over nine load regeneration cycles, with typical loadings of 0.25 mmol UO22+ g−1 gel. However, the stripping kinetics were poor; even though complete recovery was realised in the nine cycles, large volumes of 2 M nitric acid were required.

A schematic diagram for a continuous extraction of uranium in the presence of other actinides is shown in Figure 8 and used two 12 l columns one loaded with unmodified silica gel for use as a pre-filter and the second loaded with the cyclam modified silica. This system was used to capture a mixture of U, Am and Pu at concentrations typical for radioactive waste. All three metals were removed to below detection limit.

Fig. 8.

Schematic drawing for continuous extraction experiments: 1 contaminated solution (A) or concentrated solution (B); 2 peristaltic pump; 3 column filled with silica gel-bound macrocycles; 4 thermostated jacket; 5 decontaminated solution (A) or 2 N nitric acid solution (B) (41)

Schematic drawing for continuous extraction experiments: 1 contaminated solution (A) or concentrated solution (B); 2 peristaltic pump; 3 column filled with silica gel-bound macrocycles; 4 thermostated jacket; 5 decontaminated solution (A) or 2 N nitric acid solution (B) (41)

Interestingly, the distribution coefficient almost doubles on going from 298 K to 353 K. This may be characteristic of all amorphous based silica gels as it has been observed with related silica polyamine composites (42). Overall, this study is the most complete evaluation of a solid phase uranium adsorbent and lacks only selectivity studies relative to other ions that are associated with uranium waste streams.

A silica polyamine composite modified with an amino phosphonic acid functional group has been used to selectively recover uranium from a mock solution that profiles the acid mine drainage found in the gold mine tailing around Johannesburg, South Africa (43). The previously reported polyamine composite, BPAP, is schematically represented in Figure 9 (36). Amorphous silica with a 180–250 μm particle size distribution, a 38 nm average pore diameter and a 303 m2 g−1 surface area was used for this study.

Fig. 9.

Schematic representation of the amino-phosphonic acid modified silica polyamine composite, BPAP (36)

Schematic representation of the amino-phosphonic acid modified silica polyamine composite, BPAP (36)

The mock solution was run through a 5 ml column with a flow rate of 1.0 ml min−1 at pH = 2.5. The mock solution contained 175 mg l−1 Fe, 55 mg l−1 Zn, 18 mg l−1 Ni, 81 mg l−1 Co, 78 mg l−1 Mn, 123 mg l−1 U, 41 mg l−1 Cu, 195 mg l−1 Ca and 82 mg l−1 Mg. After 15 bed volumes (75 ml) were passed through the solution, all the metals except Fe and U reached their feed concentrations. Stripping with 2 M H2SO4 was not effective but stripping with 2 M Na2CO3 removed all of the uranium along with some of the Fe and Ca. The strip solution contained only minor amounts of the divalent transition metals and the Fe and Ca could be precipitated as their hydroxides and carbonates by subsequent pH adjustment. Thus, the divalent transition metals mainly passed through the column but Fe3+ and Ca2+ co-loaded with UO22+. On stripping with carbonate all of the uranium is removed as soluble UO2(CO3)n m (n = 2, 3; m = 2, 4) complexes. The wt% uranium is increased from 17% in the feed to 45% in the strip (Figure 10).

Fig. 10.

(a) Composition of acid mine drainage mock solution; and (b) composition after loading and carbonate stripping on BPAP column (43)

(a) Composition of acid mine drainage mock solution; and (b) composition after loading and carbonate stripping on     BPAP column (43)

For this process to be useful the remaining Fe3+ and Ca2+ must be removed to fully regenerate the column. This could be done with EDTA as has been previously shown (44). The valuable aspect of this report is that the BPAP can be used to effectively separate uranyl cation from divalent transition metal ions.

3.3.2 Uranium Recovery with Chelator Ligands Bound to Mesoporous Silica

A recent study surveyed the effectiveness of variously functionalised MCM-41 mesoporous silica gels (75–250 μm particle size, 480 m2 g−1, 7 nm pore diameter) and compared them with polystyrene chelator resins having the same functionality and with various forms of MnO2 (45). Three functional groups were tested: sulfonic acid (SCX), iminodiacetic acid (IDAA, referred to as EDTA in the Tables) and 3,4-hydroxypyridinone (HOPO-) (Figure 11). Ligand loadings were 0.67, 0.29 and 1.3 mmol g−1 respectively, using (MeO)3Si(CH2)3R (R = functional group) procedures.

Fig. 11.

Surface functionalities synthesised on nanoporous silica and tested for this study. The functional groups are: (a) sulfonic acid (SCX); (b) iminodiacetic acid (IDAA); (c) 3,4-hydroxypyridinone (HOPO) (45)

Surface functionalities synthesised on nanoporous silica and tested for this study. The functional groups are: (a) sulfonic acid (SCX); (b) iminodiacetic acid (IDAA); (c) 3,4-hydroxypyridinone (HOPO) (45)

These modified SAMMS® were compared with two polystyrene resins: a strong base anion exchange resin (SAX) and Chelex® 100 (EDTA, actually IDAA), two different mesh sizes of MnO2 (70–200 μm and <5 μm) and MnO2 adsorbed onto a polystyrene sulfonic acid resin.

The materials were used as sorbents for the radioactive isotopes of actinide and lanthanide elements present in trace amounts in seawater (3 pbb for U) and the Columbia River (∼70 pbb for U). Experiments were conducted in batches (for example, lanthanides together with other isotopes: 234Th, 237Np, 233Pa and 233U) and determined using either gamma emission or liquid scintillation. Standard solutions were used and compared with the data from Columbia River water and Galveston Bay water in order to evaluate the contribution of organics and other ions to the observed distribution coefficients. Samples were counted until the counting error of the fitted peak area was less than 10%, which typically required counting times on the order of 102 to 103 min. The activity of each analyte was used to determine a mass-weighted distribution coefficient (KD, l kg−1), Equation (vii):

rosenberg-eq7_NEW (vii)

where AS is the total activity of the isotope retained in the sorbent, Aw is the total activity remaining in solution, V is the volume of the batch experiment (50 ml), and m is the mass of sorbent in kg.

Distribution coefficients are reported for all six of the isotopes in the standard solutions for each adsorbent in both the river water and seawater. There are relatively small differences between ions but the big differences are between the adsorbents and type of water. We discuss only the data for uranium here (Table X).

Table X

Uranium Distribution Coefficientsa (45)

Sorbent Columbia River water Galveston Bay seawater
Blank silica 4.0 ± 0.02 3.4 ± 0.02
SCX-SAMMS® 4.0 ± 0.02 2.9 ± 0.03
SAX resin 5.3 ± 0.2 3.7 ± 0.02
Chelex® 100 resin 5.2 ± 0.1 3.1 ± 0.02
EDTA-SAMMS® 4.1 ± 0.1 2.9 ± 0.02
HOPO-SAMMS® 5.2 ± 0.04 4.8 ± 0.05
MnO2 in resin 6.1 ± 0.4 2.0 ± 0.1
MnO2 60−200 mesh <1 <1
MnO2 < 5 μm 5.1 ± 0.1 3.0 ± 0.02

alog KD, ml g

The biggest difference in log KD is between the two water sources, where the values are much lower for the bay water than for the river water by about two orders of magnitude on average. This suggests there are more interfering ions in the seawater and is a very valuable contribution. Between the different sorbents, the polystyrene sulfonic acid with MnO2 (SCX-MnO2) was by far the best for the river water and the worst for the seawater, pointing to the affinity of this adsorbent for a wide variety of cations. The IDAA (EDTA) chelator worked better on the polystyrene than on the SAMMS® and the SCX SAMMS® is no better than blank silica. HOPO SAMMS® showed the best all around performance for both river water and seawater. Most interesting is that the anion exchange resin performed relatively well for both samples but the authors ignored this in their conclusion, as well as a detailed discussion of solution pH. Given the complex nature of uranium speciation this was a significant fault with this otherwise elegant and informative study. More work needs to be done to evaluate saturation capacities and the stability of the sorbents.

A recent report from the group that pioneered the development of SAMMS® compares the performance of the mesoporous phase MCM-41 with amorphous silica gel for loading of the HOPO ligand or a benzyl protected HOPO ligand and subsequent uranium capture (Scheme III) (46).

Scheme III.

Synthetic steps for binding the HOPO ligand to silica gels (46)

Synthetic steps for binding the HOPO ligand to silica gels (46)

It was thought that protection of the phenolic OH would improve the efficiency of the coupling step between HOPO and the aminopropyl silane. Two different types of silica were used for these experiments, a surfactant templated mesoporous silica MCM-41, and an amorphous, chromatographic silica (Davisil® 634 and 635, Aldrich). The batch of MCM-41 has a specific surface area of 800 m2 g−1, an average pore size of 3.5 nm (very uniform pore size distribution), and a pore volume of 1.29 cm3 g−1. The smaller pores of MCM-41 are more easily crowded during monolayer deposition, but the very high surface area of this support suggests that it might be possible to get a higher functional loading in the SAMMS® made using this support. Also, the highly uniform pore size distribution makes it possible to monitor dimensional changes in pore size with each reaction. The amorphous Davisil® silica gels used had specific surface areas of 480 m2 g−1, and an average pore size of ∼6.0 nm (broad pore size distribution, up to ∼20.0 nm ), and a pore volume of 1.67 cm3 g−1. The difference between Davisil® 634 and 635 is their granulation – Davisil® 634 has 75–150 μm particles (100 to 200 mesh), while Davisil® 635 has 150–250 μm particles (60–100 mesh). The larger pores of the Davisil® silica make this support more amenable to making monolayers with large bulky ligands, like the benzyl-protected HOPO ligands.

The authors experimented with the impact of different methods of cleaving the protecting group and found that this had little effect on mass weighted KD using the usual formula (47). The type of medium (blood, plasma, river water) had a major effect on the efficiency of U(VI) with the highest being the more homogeneous river water (Table XI).

Table XI

The Effect of Cleavage Method of the Benzyl Protecting Group, the Type of Silica Used and the Adsorption Medium on the Distribution Coefficient for U(VI) with HOPO Modified Surfaces (46)

Silica Cleavage method Matrix KD
MCM-41 Olda Buffer >100,000
MCM-41 Old Blood 7000
D-634 None (Bz ether) River water 5800
D-634 Old River water 10,000,000
D-634 Oldc River water 100,000,000
D-634 Newd River water 100,000,000
D-634 New Blood 55,000
MCM-41 New Plasma 32,000
MCM-41 New Blood 6100
D-635 Unprotected River water >10,000,000
D-635 Unprotected Plasma 10,000
MCM-41 Unprotected Plasma 12,000
MCM-41 Unprotected Blood 8900

a18 h at 25°C, bReference (58), c4 days at 25°C, dNew = 50–60°C for 18 h

The most important result of this study is that the amorphous silica gel performed better in every medium and regardless of the method of deprotection. Even without using the protecting group the amorphous silica-HOPO performed better than the protected MCM-41-HOPO. This makes an important point with regard to silica adsorbents and remediation. Porosity, not uniformity is the key property for a good solid phase sorbent. Less porous ordered phases are better suited to structural investigations and catalysis where they give better resolution of the environment and better stereoselectivity.

A different approach, using functionalised polymers adsorbed onto ordered silica phases has been reported (48). An ordered nanoporous silica (MSU-H) with a hexagonal array structure that has a specific surface area of ∼700m2 g−1 and nanopores of ∼4 nm in average diameter was used in the study. Three common polymers: poly(ethyleneimine), carboxymethyl, poly(ethyleneimine) and polyacrylic acid were used in the study. The silica gel was activated by treatment with hydrochloric acid and then the polymers were mixed with the gel for a set period of time. After washing and drying the polymer-silica composite was exposed to solutions of uranyl ion of various concentrations. Very poor distribution coefficients are reported (∼102) for all three polymers and most importantly, 15% of the uranium leached off the material after one day. No stripping data is reported and it is likely that the polymer would have desorbed with any reagent that was capable for recovery of the uranium. This report is presented here as an example of what does not work for designing a solid phase sorbent for uranium.

3.4 Layered Sulfide Materials for Uranium Capture

An entirely different type of sorbent based on layered sulfides is reported here for comparison with the more developed polymer and silica based sorbents discussed so far. Very recently, the layered sulfide material, K2MnSn2S6 (KMS-1) has been shown to be an effective ligand for Rb+, Cs+ and UO22+ (49, 50). The metal ions exchange for potassium that sits between layers of MnS6 (0.32 occupancy) or SnS6 (0.68 occupancy). The exchange is driven by the greater affinity of the larger cations for the soft sulfur atoms on the surface of each layer. In the case of UO22+ the rod-like shaped ion lies horizontally between the layers in order to directly interact with the S atom (Figure 12).

Fig. 12.

Proposed mechanism for displacement of K+ by UO22+ (49, 50)

Proposed mechanism for displacement of K+ by UO22+ (49, 50)

The material can reduce uranium levels from a variety of sources over a wide range of pH to very low levels, even in the presence of other cations (Table XII). In most cases 98–99% of the uranium is removed and an average of 84% where other cations are present at very high levels.

Table XII

Removal of UO22+ by KMS-1 from Various Water Sources (49)

Sample pH Adsorption, ml g−1 U concentration, ppb Removal, %
Initial Finala
Distilled water, 0.34 M NaCl 3 1000 2500 12−22 99.1−99.5
Distilled water, 0.15 M NaNO3 6.5 1000 3250 103−128 96.1−96.8
Potable waterb 7 100 36 0.5−0.7 98.1−98.6
Lake Michigan waterc 7.3 100 34.2 0.9−1.1 96.8−97.4
Contaminated seawater, Gulf of Mexico 8.2 16−50 1308 1.2−6.5 99.5−99.9
Contaminated seawaterd, Pacific Ocean 8.2 20−50 1278 1.1−2.0 99.8−99.9
Contaminated seawater, Gulf of Mexico 8.2 100 39 5.3−8.5 78.3−86.5
Original seawatere, Gulf of Mexico 8.2 100 3.8 0.6−0.9 76.3−84.2

aRange of concentrations obtained from three different experiments

bPotable water as found in Evanston, Il, contains 10.7 ppm of Na+, 32.9 ppm Ca2+, 8.5 ppm Mg2+, 7 ppm K+, and other ions of insignificant concentrations

cWater samples from Lake Michigan, Evanston, Il, contain 20 ppm Na+, 24 ppm Ca2+, 8.8 ppm Mg2+, 2.7 ppm K+ and other ions of insignificant concentrations

dThe cations with the highest concentrations in these seawater samples were Na+ (8557 ppm), Mg2+ (820 ppm), K+ (500 ppm) and Ca2+ (262 ppm)

eThe cations with the highest concentrations in these seawater samples were Na+ (9486 ppm), Mg2+ (897 ppm), K+ (556 ppm) and Ca2+ (274 ppm)

Thus, KMS-1 is very effective for removal of trace levels of U from real-world water samples. KMS-1 is: (a) inexpensive and easy to make (51), (b) very stable in the atmosphere and water, (c) highly selective for UO22+ with very fast sorption kinetics, (d) easily regenerated with 2 M Na2(CO)3, an affordable and environmentally friendly method, and (e) reusable for at least six cycles. The material lost about 40% of its capacity after the first regeneration cycle but then remained constant for remaining five. It represents one of the most promising solid phase adsorbents for efficient and cost-effective treatment of wastes and groundwater containing highly toxic U levels. For removal of low levels of uranium it stands out relative to the other adsorbents discussed in this review, but it would not be suitable to an industrial or mining environment where much higher levels of uranium must be processed and where a 40% loss in capacity after one cycle is not acceptable.

4. Concluding Remarks

This review focused on the application of the two main types of solid phase adsorbents used for uranium recovery in various forms, polymer-based (organic) and silica-based (inorganic) materials. The first challenge an end user must face is which of these matrices to choose, as there is considerable overlap in functionality. Table XIII summarises the differences between the organic and inorganic exchangers (52).

As can be seen from Table XIII organic ion exchangers usually have higher capacities and better mechanical stability. The Achilles heel of the polymer-based materials is their sensitivity to radiation and heat. However, with the appropriate choice of a polymer-based resin this can be minimised.

Table XIII

A Comparison of the General Properties of Organic and Inorganic Ion Exchangers (52)

Property Organic exchangers Inorganic exchangers Comments
Thermal stability Fair to poor Good Inorganics are especially good for long term stability
Chemical stability Good Fair to good Specific organics and inorganics are available for any given pH range
Radiation stability Fair to poor Good Organics are very poor in combination with high temperatures and oxygen
Exchange capacity High Low to high The exchange capacity will be a function of the nature of the ion being removed, its chemical environment and the experimental conditions
Selectivity Available Available For some applications, such as caesium removal, inorganics can be much better than organics, owing to their greater selectivity. Ion selective media are available in both organic and inorganic forms
Regeneration Good Uncertain Most inorganics are sorption based, which limits regeneration
Mechanical strength Good Variable Inorganics may be brittle or soft or may break down outside a limited pH range
Cost Medium to high Low to high The more common inorganics are less costly than organics
Availability Good Good Both types are available from a number of commercial sources
Immobilisation Good Good Inorganics can be converted to equivalent mineral structures, organics can be immobilised in a variety of matrices or can be incinerated
Handling Good Fair Organics are generally tough spheres, inorganics may be brittle; angluar particles are more friable
Ease of use Good Good If available in a granulated form both types are easy to use in batch or column applications

A separate set of problems associated with anion exchange resins is fouling with intrinsic organic contaminants. This is usually dealt with by treating with brine at elevated temperatures. Due to the poor thermal stability of strong base anion exchange resins this usually results in a loss of capacity for the regenerated resin. Strong acid cation exchange resins have a problem with fouling due to calcium sulfate precipitation on regeneration with sulfuric acid. This is alleviated by back washing with warm lime followed by acid regeneration.

The Achilles heel of the inorganic exchangers is high pH, silica in particular degrades rapidly at pH>13. Organic-inorganic hybrid materials slow this process down but do not eliminate it (53).

In choosing the right ion exchange resin for a given application the properties of the waste are of primary concern. Total suspended solids should be less than 4 mg l−1 or prefiltering is necessary for both organic and inorganic exchangers. The waste should have a low dissolved ionic solids content of less than 1–2 g l−1. In the specific case of radionuclides, they need to be in the anionic form to be suitable for ion exchange with strong base anion exchangers. This can usually be done with pH adjustment but this will raise the total ion content and may affect removal efficiency (52).

For uranium removal from industrial waste or groundwater containing high levels of sulfate or carbonate the commercially available strong base anion exchange resins are currently the best option as discussed in Section 2. However, strong base silica polyamine composites with a higher tolerance for solutions with high ion concentration (upper limit for polystyrene is 4 meq ml−1) are under development and may prove competitive for these applications (35).

As stated clearly in Section 3.3.2 mesoporous materials are not a good choice for remediation projects. These materials and the related zeolites have found a wide range of applications in catalysis, medicine and many other fields. Their smaller pore sizes make them more difficult to regenerate, they do not tolerate bulky ligands well and the lower porosities generally lead to slower exchange kinetics (47). In addition they are more expensive to make.

For the inorganic exchangers discussed here to make an impact on uranium remediation, investigators need to focus more on testing regeneration and evaluation of usable lifetime. In fact, for the particular examples presented in Section 2 on polystyrene resins this is also an issue. In the nuclear industry regeneration and resin lifetime are central issues (52). Large-scale remediation of uranium waste streams is just beginning to receive attention and the processes and procedures developed in the nuclear industry should serve as model for this emerging field (52).

BACK TO TOP

References

  1. 1
    G. Edwards, Canadian Coalition for Nuclear Responsibility, ‘Uranium: The Deadliest Metal’ : http://www.ccnr.org/uranium_deadliest.html (Accessed on 22nd July, 2014)
  2. 2
    B. G. Lottermoser, ‘Mine Wastes: Characterization, Treatment, Environmental Impacts’, 2nd Edn., Springer-Verlag, Berlin, Germany, 2007 LINK http://dx.doi.org/10.1007/978-3-642-12419-8
  3. 3
    ‘What is Uranium? How Does it Work?’, World Nuclear Association, London, UK, Updated March, 2014: http://www.world-nuclear.org/info/Nuclear-Fuel-Cycle/Introduction/What-is-Uranium--How-Does-it-Work-/ (Accessed on 18th July, 2014)
  4. 4
    National Research Council of the National Academies, ‘Uranium Mining in Virginia: Scientific, Technical, Environmental, Human Health and Safety, and Regulatory Aspects of Uranium Mining and Processing in Virginia’, The National Academies Press, Washington, DC, USA, 2012 LINK http://www.nap.edu/catalog/13266/uranium-mining-in-virginia-scientific-technical-environmental-human-health-and-safety-and-regulatory-aspects-of-uranium-mining-and-processing-in-virginia
  5. 5
    R. B. Wanty, W. R. Miller, P. H. Briggs and J. B. McHugh, Rev. Econ. Geol., 1999, 6A, 201
  6. 6
    D. Langmuir, Geochim. Cosmochim. Acta, 1978, 42, (6A), 547 LINK http://dx.doi.org/10.1016/0016-7037(78)90001-7
  7. 7
    M. Ivanovich and R. S. Harmon, ‘Uranium Series Disequilibrium: Applications to Environmental Problems’, Clarendon Press, Oxford, UK, 1982
  8. 8
    S. J. Markich, Sci. World J., 2002, 2, 707 LINK http://dx.doi.org/10.1100/tsw.2002.130
  9. 9
    H. H. Huang, ‘StabCal Program for Thermodynamic Modelling of Aqueous Systems’, Montana Tech of the University of Montana, Butte, MT, USA, 2010
  10. 10
    J. A. Davis and G. P. Curtis, ‘Application of Surface Complexation Modeling to Describe Uranium (VI) Adsorption and Retardation at the Uranium Mill Tailings Site at Naturita, Colorado’, NUREG/CR-6820, Washington, USA, 2003 LINK http://www.nrc.gov/reading-rm/doc-collections/nuregs/contract/cr6820/
  11. 11
    D. G. Brookins, “Eh-pH Diagrams for Geochemistry”, Springer-Verlag, Berlin, Germany, 1988 LINK http://dx.doi.org/10.1007/978-3-642-73093-1
  12. 12
    J. J. Leavitt, K. J. Howe and S. E. Cabaniss, Appl. Geochem., 2011, 26, (12), 2019 LINK http://dx.doi.org/10.1016/j.apgeochem.2011.06.031
  13. 13
    S.-H. Choi, M.-S. Choi, Y.-T. Park, K. P. Lee and H.-D. Kang, Radiat. Phys. Chem., 2003, 67, (3–4), 387 LINK http://dx.doi.org/10.1016/S0969-806X(03)00072-0
  14. 14
    N. Kabay, J. Hayashi, A. Jyo and H. Egawa, J. Appl. Poly. Sci., 1994, 54, (3), 333 LINK http://dx.doi.org/10.1002/app.1994.070540307
  15. 15
    N. Kabay, A. Katakai and T. Sugo, Radiat. Phys. Chem., 1995, 46, ( 4–6 ), 833 LINK http://dx.doi.org/10.1016/0969-806X(95)00272-Y
  16. 16
    H. Sadeghi, H. Azhdari, H. Arabi and A. Z. Moghaddam, J. Hazard. Mater., 2012, 215–216, 208 LINK http://dx.doi.org/10.1016/j.jhazmat.2012.02.054
  17. 17
    O. A. Elhefnawy, W. I. Zidan, M. M. Abo-Aly, E. M. Bakier and G. A. Elsayed, J. Radioanal. Nucl. Chem., 2014, 299, (3), 1821 LINK http://dx.doi.org/10.1007/s10967-013-2879-y
  18. 18
    H. Guettaf, A. Becis, K. Ferhat, K. Hanou, D. Bouchiha, K. Yakoubi and F. Ferrad, Phys. Proc., 2009, 2, (3), 765 LINK http://dx.doi.org/10.1016/j.phpro.2009.11.023
  19. 19
    A. Himsley, ‘Application of Ion Exchange to Uranium Recovery’, in “Ion Exchange Technology in the Nuclear Fuel Cycle” IAEA-TECDOC-365, International Atomic Energy Agency, Vienna, Austria, 1986 LINK http://www.iaea.org/inis/collection/NCLCollectionStore/_Public/17/054/17054131.pdf
  20. 20
    M. Eskandari Nasab, Fuel, 2014, 116, 595 LINK http://dx.doi.org/10.1016/j.fuel.2013.08.043
  21. 21
    A. C. Q. Ladeira and C. A. Morais, Min. Eng., 2005, 18, (13–14), 1337 LINK http://dx.doi.org/10.1016/j.mineng.2005.06.012
  22. 22
    Y. Song, Y. Wang, L. Wang, C. Song, Z. Z. Yang and A. Zhao, React. Funct. Polymers, 1999, 39, (3), 245 LINK http://dx.doi.org/10.1016/S1381-5148(98)00009-1
  23. 23
    A. C. Q. Ladeira and C. R. Gonçalves, J. Hazard. Mater., 2007, 148, (3), 499 LINK http://dx.doi.org/10.1016/j.jhazmat.2007.03.003
  24. 24
    E. Rosenberg, C. Hart, M. Hughes, V. Kailasam, J. Allen, J. Wood and B. Cross, ‘Performance Improvements through Structural Design and Comparisons with Polystyrene Resins of Silica Polyamine Composites’, in “67th International Water Conference 2006”, IWC 06-34, 22nd–26th October, 2006, Pittsburgh, Pennsylvania, USA, p. 345
  25. 25
    S. Musić, N. Filipović-Vinceković and L. Sekovanić, Braz. J. Chem. Eng, 2011, 28, (1), 89 LINK http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0104-66322011000100011&lng=en&nrm=iso&tlng=en
  26. 26
    J. J. Allen, E. Rosenberg, E. Johnston and C. Hart, ACS Appl. Mater. Interfaces, 2012, 4, (3), 1573 LINK http://dx.doi.org/10.1021/am201761m
  27. 27
    M. Berlin, J. Allen, V. Kailasam, D. Rosenberg and E. Rosenberg, Appl. Organomet. Chem., 2011, 25, (7), 530 LINK http://dx.doi.org/10.1002/aoc.1798
  28. 28
    Z. A. Alothman, Materials, 2012, 5, (12), 2874 LINK http://dx.doi.org/10.3390/ma5122874
  29. 29
    M. Antonietti and C. Göltner, Max-Planck-Gesellschaft, ‘Lyotropic Liquid-Crystal Phases of Amphiphilic Block Copolymers as Template for the Preparation of Mesoporous Solids’, US Patent 6,054,111; 2000
  30. 30
    Y. Shiraishi, G. Nishimura, T. Hirai and I. Komasawa, Ind. Eng. Chem. Res., 2002, 41, (20), 5065 LINK http://dx.doi.org/10.1021/ie020119b
  31. 31
    M. A. Hughes, D. Nielsen, E. Rosenberg, R. Gobetto, A. Viale, S. D. Burton and J. Ferel, Ind. Eng. Chem. Res., 2006, 45, (19), 6538 LINK http://dx.doi.org/10.1021/ie0601448
  32. 32
    E. Rosenberg, P. Miranda and Y. O. Wong, University of Montana, ‘Oxine Modified Silican Polyamine Composites for the Separation of Gallium from Aluminum, Ferric From Nickel and Copper from Nickel’, US Patent 8,343,446; 2013 and related patents cited therein
  33. 33
    E. Rosenberg, ‘Silica Polyamine Composites: Advanced Materials for Metal Ion Recovery and Remediation’, in “Macromolecules Containing Metal and Metal-Like Elements: Group IVA Polymers”, eds. A. S. Abd-El-Aziz, C. E. Carraher, Jr, C. U. Pittman Jr and M. Zeldin, Vol. 4 John Wiley & Sons, Inc, New Jersey, USA, 2005, p. 51 LINK http://dx.doi.org/10.1002/0471712566.ch4
  34. 34
    V. Kailasam and E. Rosenberg, Hydrometallurgy, 2012, 129–130, 97 LINK http://dx.doi.org/10.1016/j.hydromet.2012.08.010
  35. 35
    E. Rosenberg, V. Kailasam and W. G. Pinson, ‘Oxyanion Removal and Recovery using Silica Polyamine Composites’, in “74th Annual International Water Conference 2013”, IWC-13-13, 17th–21st November, 2013, Orlando, Florida, USA, p. 211
  36. 36
    V. Kailasam, E. Rosenberg and D. Nielsen, Ind. Eng. Chem. Res., 2009, 48, (8), 3991 LINK http://dx.doi.org/10.1021/ie8016362
  37. 37
    T. M. Abdel-Fattah, S. M. S. Haggag and M. E. Mahmoud, Chem. Eng. J., 2011, 175, 117 LINK http://dx.doi.org/10.1016/j.cej.2011.09.068
  38. 38
    A. M. Donia, A. A. Atia, A. M. Daher, O. A. Desouky and E. A. Elshehy, Int. J. Min. Proc., 2011, 101, (1–4), 81 LINK http://dx.doi.org/10.1016/j.minpro.2011.07.010
  39. 39
    J. Tashkhourian, L. M. Abdoluosofi, M. Pakniat and M. Montazerozohori, J. Hazard. Mater., 2011, 187, (1–3), 75 LINK http://dx.doi.org/10.1016/j.jhazmat.2010.12.053
  40. 40
    S. Sadeghi and E. Sheikhzadeh, J. Hazard. Mater., 2009, 163, (2–3), 861 LINK http://dx.doi.org/10.1016/j.jhazmat.2008.07.053
  41. 41
    F. Barbette, F. Rascalou, H. Chollet, J. L. Babouhot, F. Denat and R. Guilard, Anal. Chim. Acta, 2004, 502, (2), 179 LINK http://dx.doi.org/10.1016/j.aca.2003.09.065
  42. 42
    D. L. Hagers, ‘Performance Evaluation for Heavy Metal Ion Removal Using Silica-Polyamine Composite Materials Made with Different Silica Gels and Polyamines’, Masters Dissertation, University of Montana, USA, 1999 LINK http://catalog.lib.umt.edu/vwebv/search?searchType=7&searchId=21977&maxResultsPerPage=20&recCount=20&recPointer=0&resultPointer=0&headingId=2439803
  43. 43
    H. Tutu, E. Bakatula, S. Dlamini, E. Rosenberg, V. Kailasam and E. M. Cukrowska, Water SA, 2013, 39, (4), 437 LINK http://dx.doi.org/10.4314/wsa.v39i4.1
  44. 44
    D. J. Nielsen, ‘Synthesis and Characterization of Novel Silica Polyamine Composites and their Application to the Reclamation of Hazardous Mining Wastewater and Tailings’, PhD Thesis, University of Montana, USA, 2006 LINK http://catalog.lib.umt.edu/vwebv/search?searchType=7&searchId=21987&maxResultsPerPage=20&recCount=20&recPointer=0&resultPointer=5&headingId=2794199
  45. 45
    B. E. Johnson, P. H. Santschi, C.-Y. Chuang, S. Otosaka, R. S. Addleman, M. Douglas, R. D. Rutledge, W. Chouyyok, J. D. Davidson, G. E. Fryxell and J. M. Schwantes, Environ. Sci. Technol., 2012, 46, (20), 11251 LINK http://dx.doi.org/10.1021/es204192r
  46. 46
    J. D. Davidson, R. J. Wiacek, S. Burton, X. S. Li, G. E. Fryxell, R. S. Addleman, W. Yantasee, T. Sangvanich and K. Pattamakomsan, Inorg. Chem. Commun., 2012, 18, 92 LINK http://dx.doi.org/10.1016/j.inoche.2012.01.025
  47. 47
    Y. Lin, S. K. Fiskum, W. Yantasee, H. Wu, S. V. Mattigod, E. Vorpagel, G. E. Fryxell, K. N. Raymond and J. Xu, Environ. Sci. Technol., 2005, 39, (5), 1332 LINK http://dx.doi.org/10.1021/es049169t
  48. 48
    Y. Jung, S. Kim, S.-J. Park and J. M. Kim, Colloid. Surface. A: Physicochem. Eng. Aspects, 2008, 313–314, 162 LINK http://dx.doi.org/10.1016/j.colsurfa.2007.04.087
  49. 49
    M. J. Manos and M. G. Kanatzidis, J. Am. Chem. Soc., 2009, 131, (18), 6599 LINK http://dx.doi.org/10.1021/ja900977p
  50. 50
    M. J. Manos and M. G. Kanatzidis, J. Am. Chem. Soc., 2012, 134, (39), 16441 LINK http://dx.doi.org/10.1021/ja308028n
  51. 51
    M. J. Manos, N. Ding and M. G. Kanatzidis, Proc. Natl. Acad. Sci. USA, 2008, 105, (10), 3696 LINK http://dx.doi.org/10.1073/pnas.0711528105
  52. 52
    ‘Application of Ion Exchange Processes for the Treatment of Radioactive Waste and Management of Spent Ion Exchangers’, Technical Reports Series No. 408, International Atomic Energy Agency, Vienna, Austria, 2002 LINK http://www-pub.iaea.org/MTCD/publications/PDF/TRS408_scr.pdf
  53. 53
    J. Allen, M. Berlin, M. Hughes, E. Johnston, V. Kailasam, E. Rosenberg, T. Sardot, J. Wood and C. Hart, Mater. Chem. Phys., 2011, 126, (3), 973 LINK http://dx.doi.org/10.1016/j.matchemphys.2010.11.053

Further Reading

  1. 1
    A. A. Zagorodni, “Ion Exchange Materials: Properties and Applications”, Elsevier, Amsterdam, The Netherlands, 2007
  2. 2
    F. G. Helfferich, “Ion Exchange ”, McGraw-Hill, New York, USA, 1962
  3. 3
    “Ion Exchange Technology I: Theory and Materials”, eds. I. Inamuddin and M. Luqman, Springer, Dordrecht, The Netherlands, 2012 LINK http://dx.doi.org/10.1007/978-94-007-1700-8
  4. 4
    “Ion Exchange Technology II: Applications”, eds. I. Inamuddin and M. Luqman, Springer, Dordrecht, The Netherlands, 2012 LINK http://dx.doi.org/10.1007/978-94-007-4026-6
  5. 5
    C. E. Harland, “Ion Exchange Theory and Practice,” 2nd Edition, Royal Society of Chemistry, London, UK, 1994 LINK http://dx.doi.org/10.1039/9781847551184
  6. 6
    “Ion-Exchange Membrane Separation Processes”, ed. H. Strathmann, Membrane Science and Technology, Vol. 9, Elsevier, Amsterdam, The Netherlands, 2004

 Correction

The vertical axis in Figures 1 and 2 should be labelled "Eh, V" and not "Eh, mV"
 

The Authors

Edward Rosenberg received his doctorate at Cornell University, USA, and held post-doctoral fellowships at the University of London, UK, and the California Institute of Technology, USA. He is the author of 180 peer-reviewed publications, five book chapters, eight patents and one book in the areas of environmental and organometallic chemistry. He has received awards for his research and student mentoring from the University of Montana, USA, and has had visiting faculty fellowships in Italy, Israel and South Africa.

William G. Pinson earned his PhD in Chemistry in 2012 at the University of Montana under Professor Ed Rosenberg. He then did post-doctoral research at the University of Montana until 2014 on recovery and regeneration of petroleum cracking catalysts, followed by a nine-month post-doctoral position at the Department of Metallurgical Engineering at Montana Tech, carrying out research on flotation of rare earth elements using novel collectors. Currently Dr Pinson is working for the Government Publishing Office in Washington DC as a Research Scientist in materials science and product processing.

Ranalda Tsosie is Diné from Tółikan, Arizona, USA. She is currently a third year graduate student at the University of Montana, in Interdisciplinary Studies with a focus in Chemistry and Environmental Science. Her research interests are directed toward the development of remediation technology for the specific use in groundwater and metal ion cleanup efforts.

Hlanganani Tutu received a PhD degree in Environmental Chemistry from the University of the Witwatersrand, South Africa, in 2006, an institution that he has worked for since then. Professor Tutu's research interests span geochemical modelling of solutes transport, designing remediation strategies and chemometric data modelling. He teaches courses in general chemistry, environmental chemistry and geochemical modelling, has supervised a number of research projects and published over 100 peer-reviewed articles.

Ewa Cukrowska is a Professor of Environmental and Analytical Chemistry at the University of the Witwatersrand. Professor Cukrowska received MSc and PhD degrees from the Maria Curie-Skodowska University in Poland in 1982. Her research interests include speciation of trace elements in industrial, environmental, and biomedical samples with emphasis on the development and application of different analytical techniques and remediation methods. She also has interest in: studies of metal transport and fate, effects of seasonal changes on contaminant behaviour and biological uptake. She teaches courses in general, analytical and environmental chemistry and has published over 200 publications.

Read more from this issue »

BACK TO TOP

SHARE THIS PAGE: