1. Introduction
Radioactive iodine-129 is considered to be one of the critical radionuclides contained in nuclear waste due to its long half-life (1.57 × 10
7 years), high solubility, and considerably low sorption affinity to natural mineral surfaces [
1,
2]. Among various iodine species—mainly the two different chemical species, iodide (I
−) and iodate (IO
3−)—are known to be present in the aqueous system [
1,
3]. Particularly, the aqueous chemistry of iodine is mostly dominated by iodide ions at relatively oxidative and neutral pH conditions (i.e., natural groundwater systems) [
3]. Therefore, a precise understanding of the migration and retardation behavior of iodide, based on the reliable quantification analysis method, is one of the key issues related to the safety of nuclear waste disposal.
From the viewpoint of the nuclear waste repository, the compacted bentonite, employed as a buffer material for the retention of radioactive isotopes, provides almost negligible sorption affinity to iodide because of the negatively charged mineral surfaces [
4]. However, previous works have shown that the retention capability of bentonite to iodide can be remarkably enhanced by a modification process with various organic cations [
4,
5,
6] (hexadecyl trimethyl ammonium (HDTMA), hexadecyl pyridinium (HDPy), benzethonium (BE), etc.). Bors et al. [
5] reported that the Wyoming bentonite (also known as MX-80), treated with HDPy, provided remarkably high sorption affinity to iodide and pertechnetate (TcO
4−). According to the experimental results, the adsorption capacities of modified bentonites were significantly influenced by the initial HDPy loading of the samples. Subsequently, Rao and Sivachidambaram [
4] also confirmed that the organo-bentonites prepared with the HDPy modification process can retain the iodide ions according to the relevant sorption mechanisms, based on the coulombic attraction and anion exchange at primary and secondary sites, respectively. Furthermore, Riebe et al. [
6] investigated the anion adsorption capability of organo-clay minerals modified using various organic cations (i.e., HDTMA, HDPy, BE, etc.), at elevated temperature conditions. The batch experimental data represented significantly high sorption affinities to iodide under both bi-distilled water and synthetic groundwater systems, consistent with the data reported by Bors et al. [
5] and Rao and Sivachidambaram [
4]. In addition, relative decreases in adsorption rates of iodide with increasing temperatures was identified for all the organic cations investigated. The tendency for iodide sorption to increase along with an increase in the loading amount of organic cations was also observed, consistent with previously reported data [
6,
7]. In particular, Yang et al. pointed out that the adsorption capacities of modified bentonites were significantly dependent on the HDPy loading of the samples during the modification process, inducing an expansion of the interlayer space of clay minerals [
7].
The research works discussed above indicate that the organo-bentonite might be employed as an effective buffer material for nuclear waste repository, providing excellent retention capabilities for various anionic radionuclides. Still, due to the lack of relevant sorption data available for organo-clay minerals in the viewpoint of the geologic repository, further experimental efforts concerning various condition parameters (e.g., liquid-to-solid ratio, temperature, etc.) need to be conducted to optimize the sorption characteristics of modified clay minerals and enhance the safety of radioactive waste disposal.
Various iodide sorption experiments reported to date have employed various quantification analysis methods, such as inductively coupled plasma mass spectrometry (ICP-MS) [
7], gamma spectroscopy [
5,
6], and ion chromatography [
4]. However, those quantification methods require either complicated procedures, costly instruments, or radioactive tracers acting as a hindrance to safe and efficient experimental work. In this respect, the UV/Vis absorption spectroscopy [
8], based on the iodine–starch complex [
9,
10], can be alternatively considered as a rapid, easily accessible, and relatively inexpensive quantification method for aqueous iodide.
According to the descriptions above, as a hypothesis, it is expected that (i) the bentonite, modified with an organic cation, can enhance the sorption capacity of bentonite for aqueous iodide, and (ii) UV/Vis absorption spectroscopy can be employed as a simple quantification method for aqueous iodide. In this respect, the objective of the present work is to investigate the sorption behavior of iodide on HDPy-modified bentonite clay minerals by using the iodine–starch method coupled with UV/Vis absorption spectroscopy. The optimized condition for the quantification of iodide was derived based on the UV/Vis absorbance of the iodine–starch complex measured at various reaction times and sample compositions. Furthermore, the sorption affinity of iodide on organo-bentonites was determined at various liquid-to-solid ratios and at two different temperature conditions. The experimental sorption data obtained in the present work were further employed to calculate the distribution coefficient (Kd) of iodide on the modified bentonites as representative chemical thermodynamic data.
2. Experimental Section
2.1. Chemicals for the Iodine–Starch Quantification Method
All experiments were conducted under aerobic conditions. The calibration standard of the aqueous iodide was prepared through the dissolution of iodide standard solution (Sigma-Aldrich, SKU 41271, St. Louis, MO, USA). The concentration of aqueous iodide was set in a range, from 0.04 mM to 0.12 mM, by adding deionized water taken from the water purification system (Merck Millipore, Direct Q5, Burlington, MA, USA). The starch concentration in the aqueous iodide sample was maintained at 0.1%. A starch solution of 1% was prepared through the dissolution of starch (Sigma-Aldrich, SKU S9765) in the deionized water, tempered at T = 83 ± 2 °C. The acid concentration in the aqueous solution was controlled in a range, from 10 mM to 500 mM, using stock solution of 1 M H2SO4 (Merck, SKU 1.09981, Darmstadt, Germany). The concentration of the oxidizing agent was set to 10 mM with either hydrogen peroxide (Sigma-Aldrich, SKU 95321) or potassium persulfate (Sigma-Aldrich, SKU 216224). The iodine–starch samples were prepared on the day of use, and all chemicals used in the present work were analytical grade.
2.2. Modification of Bentonite
The bentonite (Sigma-Aldrich, SKU 285234) was used as the base material for the modification process in this study. The cation exchange capacity (CEC) was found to be 110 cmol·kg
−1 according to the previous work [
11], investigated with the same bentonite used in the present work. The authors of this work note that the experimental method of this study is based on the assumption that the CEC of the bentonite employed in this study is the same as that reported in the literature [
11]. For the modification of bentonite, 2 g of bentonite was gently mixed with 100 mL of either 22 mM or 44 mM HDPyCl·H
2O (Sigma-Aldrich, SKU C9002) solution, equivalent to 100% or 200% CEC of bentonite, respectively, for 24 h at room temperature. After the stirring, the solid samples were centrifuged (4000 rpm, DAIHAN, Cef-D50.6) to discard the supernatant. Subsequently, the bentonite samples were washed with deionized water four times and dried in the vacuum oven (Jeio Tech, OFC-10, Daejeon, Korea) at T = 60 ± 2 °C for 24 h. Finally, the HDPy-modified bentonite samples prepared for the adsorption experiments were labeled to be x-Ben, where x indicates the value of the relative concentration of the initial HDPyCl·H
2O, divided by the CEC of bentonite.
2.3. Batch Adsorption Experiments
The iodide adsorption experiments were performed with HDPy-modified bentonite, based on the batch approach. An appropriate amount of modified bentonite (as adsorbent) was dispersed in 1 mM NaI (Sigma-Aldrich, SKU 746371) solution. The liquid-to-solid ratio (L/S ratio) between NaI solution (as adsorbate) and modified bentonite was controlled in a range from 0.1 g/L to 50 g/L. The bentonite suspensions were gently mixed with a rolling mixer (40 rpm, DAIHAN, MixR-40, Seoul, Korea) for 48 h at room temperature to attain the equilibrium condition. For the adsorption experiment at elevated temperature conditions, the bentonite suspensions were tempered at T = 50 ± 5 °C and mixed with a magnetic stirring bar (900 rpm) for 48 h. During the equilibrium reaction, an aliquot of bentonite suspensions was taken out as a function of reaction time and ultra-filtered with a membrane filter (10 kDa, Millipore, Burlington, MA, USA) for the quantification of aqueous iodide ions by means of the iodine–starch method.
The adsorption ratio, or removal efficiency, along with the distribution coefficient (K
d) of aqueous iodide onto modified bentonite, were calculated according to Equations (1) and (2) [
1]:
where
C0 represents the initial iodide concentration in the samples,
Ceq indicates the iodide concentration after attaining the equilibrium condition, V is the volume of the solution in m
3, and
m represents the mass of the adsorbent in kg. The averaged K
d values were obtained from the K
d values, determined at various L/S ratios. However, the samples providing almost complete removal of aqueous iodide were not employed to calculate the averaged values, since the K
d values could not be reliably quantified under those conditions.
2.4. Instruments
The UV/Vis absorption spectroscopy coupled with the iodine–starch method was employed for the quantification analysis of iodide. The aqueous sample of iodine–starch was transferred to the fused-silica cuvette (Hellma, 111–10-40, 1 cm, Jena, Germany) and analyzed using a photodiode array type UV/Vis spectrophotometer (Analytik Jena, SPECORD S 600, Jena, Germany). The data acquisition and absorption spectrum signal evaluation were conducted with the WinASPECT PLUS (Analytik Jena, Jena, Germany) and OriginPro 2020 (OriginLab) software programs.
4. Discussion
According to the experimental results, the iodine–starch method, based on UV/Vis absorption spectroscopy, can be expected to be further utilized for relevant aqueous iodide research. Nonetheless, attention should be paid to factors that could interfere with using the iodine–starch method for reliable quantification analysis. In particular, the formation of triiodide ions (I
3−), necessary for iodine–starch complexation, is possibly hindered by various cations and anions contained in natural samples. In this regard, the hindrances in the formation of triiodide ions can be evaluated for Ca
2+ and Cl
− ions—some of the typical cations and anions in natural groundwater—by using chemical thermodynamic calculations with the PHREEQC computational code [
16] and the Andra ThermoChimie database [
17]. In the present work, the target system was set to be the aqueous sample for the iodine–starch method (i.e., [H
2SO
4] = 400 mM, [NaI] = 1 mM) under strongly acidic and oxidizing conditions. Note that the pH was fixed to be 0.55 to achieve the convergence in the calculation.
As presented in
Figure 5a, a remarkable decrease in the relative portion of triiodide ions in the aqueous sample was predicted at [Cl(I)]
tot > ca. 1 mM, due to the significant formation of ICl
2− complex. Therefore, some uncertainty in the quantification of iodide by using the iodine–starch method can probably be expected at the millimolar level of chloride ions. However,
Figure 5b indicates that the influence of Ca
2+ ions on the formation of triiodide ions is almost negligible, even at [Ca(II)]
tot = 10 mM, because of the weak complexation affinity of Ca
2+ with iodide ions. The other major cations in the natural groundwater system, such as Na
+ and Mg
2+ ions, also provide similar tendencies to Ca
2+ ion.
Thus, the chemical thermodynamic calculation revealed that the matrix effects, particularly of the anions in natural groundwater, require further clarification to be reliable when using the iodine–starch method in the quantification of iodide in natural samples. The authors note that the absence of chloride ions in the aqueous solution equilibrated with HDPy-modified bentonites in the present work was confirmed using the AgCl precipitation method [
18] with 1 M AgNO
3 solution.
Table 1 presents the distribution of iodide coefficients obtained in the present work for the samples with L/S ratios from 0.1 g/L to 2 g/L, along with those taken from the literature [
4,
6]. Based on the considerable uncertainty that can usually be expected in various adsorption studies [
19,
20], averaged K
d values of 0.54 ± 0.25 m
3·kg
−1 and 0.72 ± 0.22 m
3·kg
−1 for HDPy
+ loadings of 100% and 200% CEC of bentonite at room temperature, respectively, were assessed to be relatively comparable to literature data. The tendency of the K
d values to increase with a decrease in L/S ratios also shows relative consistency with literature data [
21]. Furthermore, the K
d values of the samples equilibrated at elevated temperature conditions were determined to be 0.39 ± 0.25 m
3·kg
−1 and 0.51 ± 0.25 m
3·kg
−1 for 100-Ben and 200-Ben samples, respectively. The authors note that, due to the relatively low removal capacity compared to those determined at room temperature, the uncertainty associated with K
d values obtained at T = 50 ± 5 °C was set to ± 0.25, based on the uncertainty of K
d values calculated at room temperature.
The slight discrepancies among the various available K
d values might be caused by different structural characteristics of the base materials employed, i.e., bentonite (present work, Sigma-Aldrich, SKU 285234), natural bentonite (Rajasthan, India) [
4], and MX-80 (Wyoming, USA) [
6]. The relatively large interlayer distance of the bentonite employed in the present work (d = 15.2 Å [
22]), compared to natural bentonite (d = 12.8 Å [
4]) and MX-80 (d = 9.5 Å [
23]), might enhance the access of iodide to the HDPy
+ functional group, providing a hint toward higher K
d values.
5. Conclusions
UV/Vis absorption spectroscopy coupled with the iodine–starch method was employed to investigate the sorption behavior of iodide on modified organo-bentonites. A relatively broad, but clear absorption peak, located at 615 nm, indicated the formation of the iodine–starch complex. The optimized condition for the quantification of iodide was determined according to the absorbance values observed with various experimental conditions, such as reaction time, acid concentration, and oxidizing agent. Based on the proportional relationship between the iodide concentration and absorbance value, the iodine–starch method was further employed to analyze the sorption characteristics of iodide onto the HDPy-modified bentonites.
Two different types of modified bentonites, i.e., 100-Ben and 200-Ben, showed significantly fast sorption reaction rates and remarkable sorption affinities for iodide ions in the aqueous solution. The adsorptive reaction between the iodide ion and the modified bentonite was mainly due to the pyridinium ring of the HDPy+ functional group on the surface or interlamination of bentonite. The Kd values of 100-Ben and 200-Ben (determined at room temperature; T = 50 ± 5 °C) were relatively comparable with previously reported literature data. The minor discrepancies among the various Kd values of modified bentonites might be attributed to the structural characteristics of the base materials, such as interlayer distances, which are correlated with the access of iodide ions to the HDPy+ functional group.
To the best of the authors’ knowledge, this work is the first application of the iodine–starch method coupled with UV/Vis absorption spectroscopy to analyze the sorption affinity of iodide on organo-clay minerals. According to the results, this work clearly confirmed that the iodine–starch method can be employed in the iodide sorption experiments. As a rapid, simple, and inexpensive method for the iodide quantification, the UV/Vis absorption spectroscopy, based on the iodide-starch method, is expected to be further utilized for relevant aqueous iodide research in the future. Nevertheless, the authors note that in order to apply the iodine–starch method to the natural environment samples, further experimental efforts are required to confirm the presumable influences of the sample matrix on the quantification analysis results.