3.1. Characterization
Figure 1 shows the morphology of the new adsorbents [AC4MO and 4MO] verified by SEM analysis at different magnifications (5.00–50.00) KX. Figure 1(a, b) describes the new adsorbent (4MO) as irregular globular nanoparticles stacked on a large irregular mass. Figure 1(c) shows micrographs of the new magnetic nanocomposite AC4MO that looks like a polygonal lamella arranged horizontally on the AC surface. Figure 1(d) shows that those lamellae were coated with the irregular globular nanoparticles prove the uniform distribution of 4MO on the AC surface.
EDX is a semi-quantitative analysis that measures the ions fraction locate close to the matrix surface. Figure 2 shows the EDX analysis of the new magnetic nanocomposites 4MO and AC4MO confirming the presence of Co, Cu, Fe, Sr, and O in both adsorbents AC4MO and 4MO. In addition to the presence of carbon on the prepared magnetic nanocomposite AC4MO. The low percentage of carbon is due to the distribution of the tetra metal oxide on the surface of the AC and covering its surface to form the new nanocomposite AC4MO. TEM images show the microstructure of the new adsorbent 4MO in Fig. 3. Figure 3 shows the nanoparticles of 4MO, which appear as irregular sheets that pile up to form a single bulk. That proves the large irregular masses in the SEM images consist of various metal oxide nanoparticles aggregated into bulk masses.
XRD pattern in Fig. 4 shows the characteristic peaks of Fe3O4 at 30°, 35°, 44°, and 62.8° that match well with the characteristic diffraction peaks of Fe3O4 as reported in [ JCPDS PDF No. 89–0691) (Zhuang et al. 2015). The diffraction peaks observed at 2θ = 35°, 38.37°, and 48.5° in each of the new adsorbents are attributed to the characteristic peaks (002), (200), and (202) of CuO nanoparticles as reported in [JCPDS Pdf # 892531] (Suresh et al. 2016). In addition to the previous oxides, both new adsorbents have diffraction peaks associated with CoO which appeared at 36.9°, 45.2°, and 59°. These diffraction peaks are in good order with the standard diffraction peaks of cobalt oxide nanoparticles [JCPDS data card no. 80–1538] (Jadhav et al. 2021). Furthermore, sharp peaks related to SrO appear in the spectrum at 2θ = 26.46°, 32.36°, 33.25°, and 50.21. These peaks correspond to the SrO cubic nanoparticle structure’s reflection planes, which indicate the crystallinity of the strontium oxide nanoparticles. All those diffraction peaks agreed with the SrO literature (JCPDS, File No. 00-048-1477) (Koberg et al. 2011). Activated carbon hasn’t appeared in diffraction peaks, which proves the complete covering of the surface of the activated carbon by tetra metal oxides. Thus, the XRD spectrum of both prepared adsorbents (4MO and AC4MO) proved the successful preparation of the tetra metal oxides magnetic nanocomposites, with complete distribution on the surface of AC in AC4MO adsorbent.
FTIR technique was used to obtain information about the functional groups in the new adsorbents 4MO and AC4MO as shown in Fig. 4. In detail, the absorption bands at 3401 cm− 1 and 3431 cm− 1 for 4MO and AC4MO, respectively are related to stretching vibration peaks of O-H of water molecules (Feiqiang et al. 2018). While vibrational bands at 1617 cm− 1 and 1632 cm− 1 are related to the bending vibration of O-H of water molecules. Other bands in the range of (3000–2500) cm− 1 agreed with the stretching vibration of the aromatic–CH2– and -CH = bonds corresponding to AC in the new adsorbent AC4MO (Elhefnawy and Elabd 2016). The sharp absorption bands at 1381.92 cm− 1 and 1390.69 cm− 1 belong to CO32− vibrations and can be explained by the adsorption of CO2 on the surface of the new adsorbents (Elhefnawy and Elabd, 2022; Zhai et al. 2004). The bands at range (1205 − 991) cm− 1 are corresponding to symmetrical and antisymmetric vibrational stretching modes of M-O-M, M-O-X, (where M, X = Fe, Co, Cu, or Sr) for each adsorbent. Also, it might be the vibrational bands at the range of (908 − 445) cm− 1 are attributed to the stretching and bending vibration mode of M-O or O–M–O (where; M = Fe, Co, Cu, or Sr) (Karaduman et al. 2017; Abedi and Mehrpooya 2021). As shown in the two spectra, there are identical vibrational peaks with only slight shifts due to the chemical effects of the distribution of metal oxides on the AC surfaces. According to XRD and FTIR analyses, the new adsorbents have high crystallinity and confirm the successful preparation of the new adsorbents 4MO and AC4MO.
3.2. Effect of initial media pH
The effect of pH of the initial media on thorium adsorption was investigated under initial thorium concentration C0 = 20 mg/L, sample volume = 20 ml, and in the range of 1 to 10. Figure 6 shows that the removal efficiency (%) of Th(IV) was increased until reaching maximum values 99% and 91% at pH 5 and 4 on 4MO and AC4MO, respectively. When the pH rises to 10.00, the removal efficiency (%) of Th(IV) decreases obviously to 78% and 88%. It was clear that the acidic condition is more favorable in Th(IV) adsorption process and the metal ions mainly existed as Th(OH)3+, Th(OH)22+, and Th(OH)3+ cations (Kaynar and Şabikoğlu 2018). The adsorption reaction occurred through the electrostatic attraction between the positive charge Th(OH)22+ and the negative charge on the deprotonated adsorbent’s surface. The adsorption reaction process was estimated as shown in Scheme 1. Thus, the adsorption reaction was carried out effectively with the adsorbent binding sites forming complexes as the following equations:
$${\mathbf{T}\mathbf{h}\left(\mathbf{O}\mathbf{H}\right)}_{2}^{2+}+\mathbf{H}\mathbf{O}-\left[4\mathbf{M}\mathbf{O}\right] \to {\mathbf{T}\mathbf{h}\left(\mathbf{O}\mathbf{H}\right)}_{2}^{+}-\mathbf{O}-\left[4\mathbf{M}\mathbf{O}\right] \left(3\right)$$
$${\mathbf{T}\mathbf{h}\left(\mathbf{O}\mathbf{H}\right)}_{2}^{+}-\mathbf{O}-\left[4\mathbf{M}\mathbf{O}\right] + \mathbf{H}\mathbf{O}-\left[4\mathbf{M}\mathbf{O}\right] \to \left[4\mathbf{M}\mathbf{O}\right] -\mathbf{O}-{\mathbf{T}\mathbf{h}\left(\mathbf{O}\mathbf{H}\right)}_{2}-\mathbf{O}-\left[4\mathbf{M}\mathbf{O}\right] \left(4\right)$$
The removal efficiency of the adsorption of Th(IV) onto AC4MO has a higher value than 4MO, which suggests that the prepared adsorbent AC4MO is more effective than 4MO, and that will be discussed in more detail in further adsorption studies.
3.3. Effect of contact time and kinetic studies
The effect of contact time on Th(IV)adsorption on different contact time ranges (5-150) min is shown in Fig. 7. The adsorption capacity of Th(IV) has a significant change in the first 40 min. After that, the amount of adsorbed Th(IV) changes slowly over time and achieves equilibrium at 60 min. The rapid removal of Th(IV) may be due to the metal ions chemically binding with hydroxyl groups of the prepared adsorbents 4MO and AC4MO to form strong surface complexation. On-time the adsorption progresses are reduced owing to the continuous diffusion of Th(IV) into the 4MO and AC4MO microspheres. And the adsorbent binding site is gradually saturated, which decreases the efficiency of the adsorption of Th(IV). Therefore, 60 min is considered the equilibrium contact time for further experiments. To study the kinetic models of the adsorption reaction of Th(IV) on both prepared adsorbents 4MO and AC4MO, the pseudo-first-order, pseudo-second-order, and intra-particle diffusion kinetics models were studied according to the following equations (Feng et al. 2018):
$${L}{n}\left({{q}}_{{e}}-{{q}}_{{t}}\right)={L}{n}{{q}}_{{e}- }{{K}}_{1}{t} \left(5\right)$$
$$\frac{{t}}{{{q}}_{{t}}} = \frac{1}{{{K}}_{2 }{{q}}_{{e}}^{2}} +\frac{{t}}{{{q}}_{{e}}} \left(6\right)$$
$${{q}}_{{t}}={{K}}_{{P}} {{t}}^{0.5}+{I} \left(7\right)$$
Where qe and qt are the adsorption capacities (mg/g) at equilibrium and contact time t, respectively. K1 is the pseudo-first order rate constant in (1/min) and k2 is the pseudo-second-order rate constant in (g/mg. min). kp is the diffusion rate parameter in (mg/g. min0.5), and I is the boundary layer thickness. The three kinetic models were employed to fit the adsorption experimental data obtained as described in Supplementary documents S.1, 2, and 3. All kinetic parameters for both new adsorbents are listed in Table 1. According to R2, the pseudo-second order model fits better with the experimental results, explaining the adsorption mechanism as the chemisorption. Figure 8 represents the intraparticle diffusion model and shows that Th(IV) adsorption process happened in two steps. The first occurred at a fast rate and expressed as a film diffusion of the metal ions on the adsorbents’ surface. While the second was carried out at a slow rate and described as the metal ions diffusion on the boundary layer of the adsorbents. Also, it is clear that the two straight lines represent the two steps in both adsorbents that don’t pass through the origin (I > 0), showing the significant effect of the boundary layer thickness in the adsorption process (Côrtes LN et al. 2019).
3.4. Effect of initial concentration and adsorption isotherms
The effect of the initial concentration of Th(IV) adsorption has been investigated at a concentration ranging from 20 to 250 mg/L, at pH 4 and 5 on 4MO and AC4MO, respectively. Langmuir and Freundlich models were used to simulate the experimental adsorption data as the linear and nonlinear expressions (see supplementary document S.4, and 5) according to the following equations (Ganguly et al. 2020; Nnadozie and Ajibade 2020).
$$\frac{{{C}}_{{e}}}{{{q}}_{{e}}}=\frac{1}{{{K}}_{{L} }{{q}}_{{m}}}+\frac{{{C}}_{{e}}}{{{q}}_{{m}}} \left(8\right)$$
$${{q}}_{{e}}=\frac{{{q}}_{{m}} {{K}}_{{L}} {{C}}_{{e}} }{1+{{k}}_{{L}} {{C}}_{{e}}} \left(9\right)$$
$$\mathbf{l}\mathbf{o}\mathbf{g} {\mathbf{q}}_{\mathbf{e}} =\mathbf{l}\mathbf{o}\mathbf{g}\mathbf{l}\mathbf{o}\mathbf{g} {\mathbf{K}}_{\mathbf{F} } + \left(\frac{1}{\mathbf{n}}\right)\mathbf{L}\mathbf{o}\mathbf{g} {\mathbf{C}}_{\mathbf{e}} \left(10\right)$$
$${{q}}_{{e}}={{K}}_{{F}} {{C} }_{{e}}^{\frac{1}{{n}}} \left(11\right)$$
Where qe and qm are the adsorption capacity at equilibrium and the maximal adsorption capacity, respectively. KL and Kf are the Langmuir and Freundlich constants, respectively, and n is the intensity of the adsorption. All isothermal parameters are listed in Table 3. The simulation of the experimental data with the nonlinear form of Langmuir and Freundlich isotherm models is shown in Fig. 9a, b. The results of isothermal calculations and simulation data indicated that the correlation coefficient R2 of Langmuir adsorption isotherm models was higher than the Freundlich models. Thus, Langmuir adsorption isotherm models could better describe the adsorption process of Th(IV) on the adsorbents. That demonstrates that the adsorption sites on the adsorbent’s surface are uniform distribution and all the active sites on 4MO and AC4MO have equal affinities for Th(IV). Thus, the adsorption process can be described as a homogenous chemisorption. The new adsorbents value of 1/n indicates a favorable adsorption process that the value of 1/n is in the range of [0 < 1/n < 1] (Côrtes et al. 2019; Yildirimet al. 2020). That proves the adsorption process was relatively easy to carry out.
3.5. Adsorption thermodynamics
The effect of temperature on Th(IV) adsorption by 4MO and AC4MO has been studied to discuss the thermodynamic behaviour of the Th(IV) adsorption process. The experimental study was carried out under different temperatures 298, 308, 318, and 328 K, as shown in Fig. 10a. The results show that the adsorption capacity of 4MO increases with the temperature increased from 298 to 323 K, indicating the endothermic nature of its adsorption process. While there is an insignificant change in the adsorption capacity by AC4MO proves that the adsorption process by AC4MO is a little sensitive to temperature. Figure. 10(b) shows the linear plot of ln Kd versus 1/T at different temperatures and is used to calculate the thermodynamic parameters ΔH°, ΔG°, and ΔS° according to the equations given below (Abutaleb et al. 2020; Qu et al. 2021):
$$\mathbf{L}\mathbf{n} {\mathbf{K}}_{\mathbf{d}} = \frac{\varDelta {\mathbf{S}}^{^\circ }}{\mathbf{R}} - \frac{\varDelta {\mathbf{H}}^{^\circ }}{\mathbf{R}\mathbf{T}} \left(12\right)$$
Where Kd is the distribution coefficient (mL/g), T is the absolute temperature (K), and R is the gas constant 8.314 (J/mol. K). ΔS° is the standard change of entropy (J/mol. K), ΔH° is the enthalpy change (kJ/mol), and ΔG° is the change of Gibbs’ free energy (KJ/mol). The thermodynamic parameters and calculation results are illustrated in Table 3 and all details of the linear plot of ln Kd versus 1/T at different temperatures were shown in supplementary document S.6. The positive ΔH° value showed that Th(IV) adsorption was an endothermic process. The value of ΔG° was negative and decreased with the increasing temperature, indicating that adsorption was a spontaneous process (Nezhad et al. 2021).
3.6. Adsorption selectivity
To evaluate the selectivity of 4MO and AC4MO in Th(IV) removal. A simulated wastewater effluent containing some interference ions such as Na+, Zn2+, Mn2+, Ni2+, Ca2+, Cu2+, and Fe3+ was prepared and treated with both new adsorbents at optimal conditions. The initial metal ions concentration was 5 (mg/L) for all cations. Figure 11 shows that 4MO and AC4MO have better selectivity and high adsorption capacity for Th(IV) other than interfering metal ions. The selectivity coefficient STh/M for Th(IV) relative to interfering ions is calculated by the following equation: (Tan et al. 2018; Zhang et al. 2020)
$${\mathbf{S}}_{\frac{\mathbf{T}\mathbf{h}}{\mathbf{M}}}=\frac{{\mathbf{K}}_{\mathbf{d}}^{\mathbf{T}\mathbf{h}}}{{\mathbf{K}}_{\mathbf{d}}^{\mathbf{M}}} \left(13\right)$$
\({S}_{\frac{Th}{M}}\) are distribution coefficients of metal ions where (M = Mg2+, Na+, Zn2+, Mn2+, Ni2+, Ca2+, and Fe3+). S(Th/M) values show a higher selectivity of both 4MO and AC4MO towards Th(IV) ions, which confirms the high performance of 4MO and AC4MO in the interaction of the hydroxyl and carboxylic functional groups with Th(IV).
3.7. Comparison with other adsorbents
The maximum adsorption capacities for Th(IV) adsorption on the new adsorbents 4MO and AC4MO were 222.22 and 714.29 mg/g, respectively. Furthermore, the adsorption capacities of other adsorbents with different functional groups in previous literature have been compared with the new adsorbents 4MO and AC4MO and are listed in Table 4. The comparative list includes the adsorption capacity, temperature, contact time and optimum pH. The combative study illustrate that adsorption capacity of AC4MO is higher than other adsorbents, which indicates that AC4MO is more efficient adsorbent for Th(IV) removal from aqueous media in normal operating conditions.