- 1University of South China, Hengyang, China
- 2Hengyang Key Laboratory of Soil Contamination Control and Remediation, University of South China, Hengyang, China
- 3Key Laboratory of Radioactive Waste Treatment and Disposal, University of South China, Hengyang, China
- 4Decommissioning Engineering Technology Research Center of Hunan Province Uranium Tailings Reservoir, University of South China, Hengyang, China
Excess sludge (ES) treatment and that related to the uranium recovery from uranium-containing wastewater (UCW) are two hot topics in the field of environmental engineering. Sludge-based biochar (SBB) prepared from ES was used to recover uranium from UCW. Excellent effects were achieved when SBB was modified by acetic acid. Compared with SBB, acetic acid-modified SBB (ASBB) has shown three characteristics deserving interest: 1) high sorption efficiency, in which the sorption ratio of U(VI) was increased by as high as 35.0%; 2) fast sorption rate, as the equilibrium could be achieved within 5.0 min; 3) satisfied sorption/desorption behavior; as a matter of fact, the sorption rate of U(VI) could still be maintained at 93.0% during the test cycles. In addition, based on the test conditions and various characterization results, it emerged as a dual effect of acetic acid on the surface of SBB, i.e., to increase the porosity and add (−COOH) groups. It was revealed that U(VI) and −COO− combined in the surface aperture of ASBB via single-dentate coordination. Altogether, a new utilization mode for SBB is here proposed, as a means of efficient uranium sorption from UCW.
Introduction
Uranium-containing wastewater (UCW) contains a certain concentration of nuclide ions, such as uranium ions, radium ions, and thorium ions. In addition, it also contains high concentrations of heavy metal ions, metal ions, and acid ions, such as sulfate ions and nitrate ions. This special industrial wastewater is mainly discharged by uranium mining or uranium hydrometallurgy. Generally, uranium presents in the valence form of U(IV) and U(VI). U(IV) does not dissolve in aqueous solution and usually forms precipitation, while U(VI) generally gives mobile aqueous complexes with CO32− and OH−1 (Gerber et al., 2016; Abdi et al., 2017). Uranium ions are characterized by radioactivity and chemical toxicity, which could, in turn, cause chronic poisoning, cancer, and immunological diseases (Malenchenko et al., 1978; Baur et al., 1996; Kathren and Burklin, 2008; NaserHumood, 2013). In addition, serious damage might be caused to the surrounding organisms as well as ecosystems once UCW is discharged into the environment by accident. Consequently, it is of great significance to establish rapid and efficient processing methods for UCW treatment aimed at both reducing the hazardous effect of UCW and reusing, as added-value product, uranium recovered by UCW.
At present, the main technologies for uranium recovered from UCW or UCW treatment could be summarized as chemical precipitation, ion exchange, membrane separation, biological treatment, solvent extraction, and sorption (Khani et al., 2008; Wang et al., 2009; Abadi et al., 2011; Gerber et al., 2016; Khawassek et al., 2018; Tan et al., 2018). Among them, sorption is one of the popular technologies because of its advantages, including simple operation, wide range of application, higher removal and recovery rate, etc. (Chen et al., 2020). Generally, the uranium removal rate by sorption is mainly influenced by physical/chemical properties of adsorbents (i.e., pore structure, surface groups), uranium concentration, pH, etc. (Kataria and Garg, 2018) Biochar (Sun et al., 2013; Sun et al., 2017; Kong et al., 2020), graphene (Zhao et al., 2019), calixarene (Fang-Zhu et al., 2019), MOFs (Li et al., 2020), and mesoporous silicon (Jiang et al., 2020) were used as sorption materials. Among them, biochar has been verified as an important sorption material for uranium recovery or removal from aqueous solution (Jin et al., 2018; Li et al., 2019a), due to its simple preparation process, lower price, higher temperature resistance, radiation resistance, higher stability to almost all kinds of acidic and alkali environments, nontoxic, and environmentally friendly nature (Zhao et al., 2017; Pu et al., 2019).
Generally, excess sludge (ES) was applied for biochar preparation (Li et al., 2019b; Hu et al., 2019). ES is mainly generated by wastewater treatment plant (WWTP) with large yield (Ghosh, 2009; Ali et al., 2019). It is difficult to treat ES, and its post-processing cost is relatively high (Hossain et al., 2018). Moreover, secondary pollution might easily happen if ES is not properly treated (Sun et al., 2018). Kanterli reported that sludge-based biochar (SBB) showed high sorption capacity (112.40 mg/g) for Cr(VI) (Ismail Cem and Jale, 2009). SBB prepared from municipal sludge (11.27 mg/g) and papermaking sludge (11.78 mg/g) by hydrothermal treatment had good sorption capacity for Pb(II) removal, too (Alatalo et al., 2013). In addition, SBB and Fe3O4-modified SBB also showed high uranium ion sorption efficiency (more than 90.0%) (Zeng et al., 2020; Guanhai et al., 2021). What is more, the treatment of UCW by SBB cannot only effectively solve the problem from ES, but also achieve the effect of waste treatment fee and waste resource utilization. However, to make SBB more practical, its sorption capacity for uranium or other heavy metals needs to be further improved.
So far, the most effective method for improving biochar sorption capacity or removal rate of heavy metals is to increase specific surface area or functional groups on its surface. For example, the effect of nitric acid on the surface area enlargement of biochar has been reported (Ioanna et al., 2017; Mishra et al., 2017). In addition, oxygen functional groups (Anirudhan and Deepa, 2015), humus (Zong et al., 2015), amine (Zhao et al., 2015), amino amine (Deb et al., 2012), dopaminer (Wu et al., 2017), and oximer (Xiong et al., 2017) were considered as corresponding functional groups to improve heavy metal removal rate. –COOH, as a representative of oxygen functional groups, is suitable for the complexation of uranium ions (Park et al., 2019). However, there is still a lack of research on the simultaneous expansion of pores and the addition of groups to recover more uranium ions in SBB.
In order to achieve the above requirements, the removal and recovery efficiency of uranium from UCW was comprehensively studied by involving acetic acid-modified SBB (ASBB) prepared from ES and acetic acid, including 1) differences in uranium recovery efficiency from UCW when SBB or ASBB were used, 2) impacts of variety factors (reaction time, pH, dosage, initial concentration, desorption, and interfering ions) on uranium removal by ASBB, 3) kinetic and thermodynamic analysis of sorption, 4) ASBB uranium removal mechanism based on Brunauer–Emmett–Teller (BET), scanning electron microscopy (SEM), energy-dispersive x-ray spectroscopy (EDS), Fourier-transform infrared spectroscopy (FTIR), and x-ray photoelectron spectroscopy (XPS) techniques. In this paper, acetic acid was used as a modifier to modify SBB and to treat UCW. This modification method could also be used to treat other heavy metal ions in the future.
Materials and Methods
Starting Materials
ES was obtained from a WWTP located in Hengyang, China. The reagents used in this study were of analytical grade. Chloroacetic acid (CH2ClCOOH), hydrochloric acid (HCl), ferrous sulfate heptahydrate (FeSO4.7H2O) and sodium hydroxide (NaOH), potassium hydroxide (KOH), and acetic acid (CH3COOH) were purchased from Sinopharm Group Pharmaceutical Co., Ltd. (Shanghai). Arsenio III [(HO)2C10H2(SO3H)2(N=NC6H4AsO3H2)2] and triuranium octoxide (U3O8) were purchased from Tianjin Kemio Chemical Reagent Co., Ltd., and China Academy of Metrology, respectively.
Uranium stock solution (1.0 g/L) was prepared by dissolving U3O8 in concentrated nitric acid. The specific preparation process was as follows: First, the dried 1.1792 g U3O8 powder was accurately weighed into a 100-ml beaker. Second, 10.0 ml of hydrochloric acid solution with a density of 1.18 g/cm³, 3.0 ml of 30 wt% hydrogen peroxide, and two drops of 1.0 mg/L of nitric acid solution were sequentially added to the beaker. Then the beaker was covered with a lid for 3 min. After time had elapsed, the solution was stirred by a glass rod for several minutes. After a violent reaction was completed, the beaker was moved a the graphite heating plate for heating and dissolution. When the dissolution was completed, the solution was cooled to room temperature. Finally, the solution was transferred to a 1,000.0-ml volumetric flask, and a nitric acid solution with pH <2 was used for constant volume. More information in detail could be found in cited literature (Lu et al., 2018a). All concentrations of UCW solutions used in the experiment were diluted by 1.0 g/L uranium stock solution.
Sludge-Based Biochar and Acetic Acid-Modified SBB Preparation
The preparation process of SBB and ASBB is shown in Figure 1A. The dewatered ES was collected from WWTP and then dried at 105°C for 24 h. The dried ES was impregnated with KOH (3.0 mol/L) in proportion to mass and activated for 24 h. The impregnated ES was again dried at 80°C in a constant temperature drying oven. Thereafter, it was pyrolyzed to biochar in a muffle furnace at 350°C–700°C for 40–50 min under nitrogen atmosphere. Biochar was cooled down to room temperature under nitrogen atmosphere. Then it was washed to neutral by distilled water. The production rate of fresh SBB was 86.0 ± 10.0%. The biochar was immersed in CH3COOH solution (36.0%–38.0%) for 6 h and then washed with distilled water to neutrality, thus, eventually getting ASBB.
FIGURE 1. Preparation of sludge-based biochar (SBB) and acid-modified sludge-based biochar (ASBB) and uranium recovery from uranium-containing wastewater (UCW). (A) Preparation of SBB and ASBB. (B) Uranium recovery from UCW by SBB or ASBB.
Experimental setup
Orthogonal Experiments
Figure 1B displays the rationale of the experiments of uranium recovered from UCW with different SBB or ASBB dosages. A certain amount of SBB or ASBB was added to 100.0 ml of U(VI) solution. Temperature and stir speed were kept at 25°C and 120 r/min, respectively. The removal efficiencies of U(VI) by fresh SBB and ASBB were investigated according to orthogonal experiments. They were conducted under different mass ratios of sludge/KOH (MSK), calcination temperature (CTE), calcination time (CTI), and activation time (AT) (Table 1). Initial U(VI) concentration in UCW was 10.0 mg/L, pH was 3.03, and the dosage of fresh SBB or ASBB was 0.50 g/L in each investigated case.
TABLE 1. Effect of biochar on uranium-containing wastewater (UCW) treatment under different preparation conditions.
Batch Experiment
Several values of reaction time (1.0, 2.0, 3.0, 4.0, 5.0, 10.0, 20.0, and 30.0 min), initial pH (3.0–9.0 with a minimum interval of 1.0), adsorbent dosage (0.05, 0.1, 0.1, 0.3, 0.4, and 0.5 g/L), and initial uranium ion concentration (5.0, 10.0, 20.0, 30.0, 50.0, and 100.0 mg/L) were scrutinized. U(VI) concentration in artificial UCW was kept at 10.0 mg/L except for particular cases. Dosage of SBB or ASBB was 0.30 g/L, and pH was 6.0.
The desorption of ASBB was carried out by utilizing HCl (2.0 mol/L) as a desorption agent. The interference test of the sorption of U(VI) by coexisting ions (cation) in the solution was also carried out. Except for the solution containing 10.0 mg/L of U(VI), the concentration of coexisting ions in each solution was simulated to 10.0 mg/L. The interfering ions involved were Fe3+, Na+, Mg2+, Pb2+, and Cr6+. During the test, two dosages (0.3 and 0.5 g/L) of ASBB were set. HCl (0.01 mol/L) and NaOH (0.01 mol/L) were used for adjusting pH of artificial UCW.
Analysis and Characterization
U(VI) concentration was determined by Arsenazo III spectrophotometer (Ding et al., 2018). The absorbance of UCW was measured at a wavelength of 652 nm after preheating the spectrophotometer for 30 min. Inductively coupled plasma-mass spectrometry (ICP-MS) was used to double check the values obtained from spectrophotometry. The difference in the results obtained with the two methods was 1.47%–1.53%, indicating that spectrophotometry was a reliable method under these operating conditions.
The uranium equilibrium specific sorption capacity qe (mg/g) and removal rate η for each sorbent (SBB or ASBB) were calculated according to Eqs. 1 and 2, respectively (Liu et al., 2018):
where c0 and ce are the initial and equilibrium concentrations of uranium in the solution, v is the solution volume, and m is the mass of adsorbent. Langmuir and Freundlich sorption isotherm models were introduced to fit the U(VI) sorption data for ASBB under equilibrium conditions (Eqs 3, 4). The equations read, respectively (Christou et al., 2019):
where qm is the maximum specific sorption capacity, KL is the Langmuir equilibrium constant (L/mg), while KF and n are the Freundlich parameters, respectively, representing the sorption capacity and the sorption intensity.
In order to investigate in detail the U(VI) sorption process by ASBB, kinetic data were fitted by pseudo-first-order (Lagergren PFO, Eq. 5) and pseudo-second-order (Ho&McKay PSO, Eq. 6) models. The equations read, respectively (Li et al., 2018):
where qt refers to the specific sorption capacity at t time, κ1 is the PFO sorption rate constant (min−1), and κ2 is the PSO sorption rate constant (g/mg·min−1).
To compare the content of acidic functional groups on the surface of SBB, ASBB, and acetic acid-modified sludge-based biochar—uranium (ASBB-U), the contents of –OH, –COO, and –COOH were determined by the Boehm method (Kalijadis et al., 2011). Three samples of 1.0 g of each material were accurately weighed, and the samples were put into 100.0-ml conical flasks. Then three samples of each material were added to 25.0 ml of 0.05 mol/L NaOH, Na2CO3, and NaHCO3 standard solution, respectively. Nine samples were all stirred for a 24-h reaction and then filtered. During filtration, they were fully washed with distilled water. All the filtrates were collected independently. Methyl red was used as the end indicator of the filtrate. The unreacted alkali in the filtrate was titrated to end by a standard solution of 0.05 mol/L of HCl. The content of –OH, –COO, and –COOH was calculated by the amount of HCl.
The existing forms of uranium in UCW (10.0 mg/L) and PCO2 = 10–3.5 atm under pH from 3.0 to 9.0 were simulated by Visual MINTEQ 3.1 (Schierz and Zänker, 2009; Zong et al., 2017). The specific surface area of fresh or used SBB and ASBB was determined by BET technique (TriStar II Plus 2.02, Micromeritics, USA). The morphology of fresh or used SBB and ASBB was characterized by SEM (JSM-7500F, JEOL, JPN) coupled with EDS (INCA, Oxford, USA). Functional groups on fresh or used SBB and ASBB were analyzed through FTIR (Nicolet-iS50, Thermo Fisher Scientific, USA). The composition and chemical states of ASBB after UCW sorption were examined by XPS (Escalab 250Xi, Thermo Fisher Scientific, United States) with AlΚα radiation. The binding energies were calibrated by using containment carbon (C1s = 284.7 eV). The data analysis was carried out via Casa XPS software (Version 2.3.13).
Results and Discussion
Comparison Between Sludge-Based Biochar and Acetic Acid-Modified Sludge-Based Biochar in Uranium-Containing Wastewater Sorption
The performance of U(VI) removal is presented in Figure 2. The removal rate of U(VI) by fresh SBB and ASBB gradually increased with the decrease in MSK and with the increase in CTE (Figure 2A), CTI (Figure 2B), and AT. The F values of MSK, CTE, CTI, and AT were 87.09, 9.84, 4.34, and 1.18, respectively, (refer to Table 1). The p-values were <0.0001, 0.0106, 0.0638, and 0.3034, respectively. These results indicate that the influence ranking of the explored parameters is MSK, CTE, CTI, and AT. In particular, MSK had an extremely significant effect, and CTE showed a similar tendency (Anna et al., 2018). In addition, the removal rate and sorption capacity of ASBB were higher than SBB, indicating that acetic acid modification of the biochar showed excellent effect on U(VI) removal. Altogether, the optimal preparing conditions for fresh SBB and ASBB are suggested as: MSK = 1:1, CTE = 550°C, CTI = 30 min, and AT = 24 h.
FIGURE 2. (A) Uranium sorption from SBB and ASBB impacted by calcination temperature (CET) and sludge: KOH (MSK), (B) Uranium sorption from SBB and ASBB impacted by calcination time (CTI) and activation time (AT).
U(VI) Removal Efficiencies by Acetic Acid-Modified Sludge-Based Biochar Under Different Conditions
Reaction Time
Figure 3A depicts the removal rate of U(VI) as a function of time for SBB and ASBB. The removal rate of U(VI) by SBB and ASBB increased with time quickly, and the sorption equilibrium was practically achieved within 5.0 min. This phenomenon was mainly due to the high U(VI) concentration, and to the large number of sorption sites made available by SBB and ASBB. U(VI) could rapidly diffuse to the adsorbent particle due to the high concentration gradient, to be then adsorbed on the solid surface-active sites. However, the removal rate and sorption capacity of U(VI) were close to the peak after 5.0 min. Two main reasons could explain this observation. First, the U(VI) concentration in the solution was quite low, and the U(VI) concentration was considered as one main limiting factor for the improvement of U(VI) removal rate. Second, the surface sorption sites decreased as the reaction proceeds. The probability of U(VI) binding to sorption sites was then decreased. As shown in Figure 3A, the U(VI) removal rate by SBB and ASBB was 62.8% and 97.8%, respectively. Meanwhile, the specific sorption capacity of these two adsorbents was 20.9 and 32.6 mg/g, respectively. The sorption capacity of U(VI) by ASBB was 55.8% higher than that of SBB. These results showed that ASBB could adsorb U(VI) more rapidly and efficiently, and the sorption equilibrium could be achieved within 5.0 min.
FIGURE 3. Sorption rate of U(VI) by SBB or ASBB under different conditions. (A) Reaction time of SBB or ASBB for U(VI) sorption, (B) U(VI) sorption by ASBB under difference initial pH of USW, (C) simulation calculation of the existing state of uranium ions under different pH conditions, (D) removal rate of uranium in USW by ASBB under different dosage, (E) the removal rate of uranium ions by ASBB at different initial concentrations of USW, (F) desorption efficiency of uranium ions by ASBB, (G) effect of interfering ions on sorption of uranium ions by ASBB in USW.
Initial pH of Aqueous Solution
Figures 3B, C illustrate the experimental and simulation results of the influences of the initial pH value of the aqueous solution. Figure 3B shows that sorption of U(VI) from ASBB was greatly influenced by pH. Figure 3C displays that the existing uranium morphology varies under different pH conditions. The main morphologies were UO22+, (UO2)2(OH)22+, (UO2)2OH3+, (UO2)3(OH)5+, (UO2)3(OH)42+, (UO2)4(OH)7+, UO2(CO3)34−, and (UO2)2CO3(OH)3−. The U(VI) removal rate was only 42.4% when pH = 3.0, where uranium mainly exists in the form of UO22+ in UCW. Because the solution pH value was in this case too low, a lot of H+ competed with UO22+ sorption. Meanwhile, an H+ proton layer on the surface of ASBB could be formed, rather than UO22+. The electrostatic repulsion of ASBB to UO22+ might increase; thus, the removal rate of uranium was relatively low (Wu et al., 2019). When the pH was between 4.0 and 6.0, the uranium in solution mainly existed in the form of (UO2)2(OH)22+, (UO2)3(OH)5+, (UO2)4(OH)7+. The low protonation degree of these forms favored the sorption of uranium by ASBB (Zhu et al., 2018). With the increase in pH, many organic functional groups (such as –OH, –COOH, etc.) might be gradually assembled on the surface of ASBB. H+ on these groups then decreased, so the electronegativity of these groups increased. The binding ability and reaction probability between functional groups and uranium increased due to this phenomenon. The uranium removal rate increased under this condition. When pH was 6.0, the U(VI) removal rate peak was 97.2%. When pH was between 7.0 and 9.0, the uranium was mainly in the form of UO2(CO3)34− and (UO2)2CO3(OH)3−. These forms were difficult to be adsorbed by ASBB, and the removal rate of uranium was reduced. Therefore, pH = 6.0 was suggested as the optimal condition for U(VI) sorption from UCW by ASBB.
Dosage of Acetic Acid-Modified Sludge-Based Biochar
Figure 3D shows the effect of different ASBB dosages on U(VI) removal. The initial U(VI) concentration was 10.0 mg/L. The U(VI) removal rate increased from 79.8% to 97.8% when the dosage of ASBB increased from 0.05 to 0.5 g/L. With the increase in the dosing amount, the reaction sites of ASBB in UCW increased as well. The probability of U(VI) to interact with reaction sites, therefore, increased and the U(VI) removal efficiency was improved. In general, 0.30 g/L was determined as the optimal dosage used in further sections also taking into account economic reasons.
Initial U(VI) Concentration
Figure 3E illustrates the sorption capacity of ASBB and uranium removal rate under different initial U(VI) concentrations in the wastewater recovered by ASBB biochar. When the dosage of ASBB was 0.30 g/L, the UCW removal rate result is equal to 98.1% (initial concentration = 5.0 mg/L) and 97.8% (initial concentration = 10.0 mg/L). Namely, with the increase in U(VI) initial concentration, the removal rate of U(VI) by ASBB gradually decreased, while the specific sorption capacity was increased. The latter might be due to the excess U(VI) in the system, that drives the sorption process. Moreover, when the dosage of ASBB was 3.0 g/L (i.e., one order of magnitude higher), the removal efficiency for 100.0 mg/L of uranium concentration in UCW was 95.7%. These results demonstrated that ASBB was not only suitable for the uranium recovery from UCW with low uranium concentration but also for high concentration values. In addition, Table 2 shows the results for different adsorbents. The U(VI) sorption capacity of ASBB per unit time was about 10–1,000 times that of other materials, indicating that ASBB was a rapid and efficient U(VI) adsorbent, with interesting industrial perspectives.
Desorption From Acetic Acid-Modified Sludge-Based Biochar
The desorption performance of an adsorbent is an important standard to judge whether it can be practically used. Research has shown that adsorbed U(VI) could be replaced by H+ through ion exchange (Wen et al., 2016), and then dissolved in acidic solution (Tu et al., 2019). Figure 3F displays the results of uranium desorption from ASBB. It could be seen that after sorption and desorption for several cycles, the removal efficiency of uranium by ASBB remained at 90.2%, while the desorption efficiency from ASBB was 93.0%. These results showed that ASBB had good reusability potential, and the recovery of U(VI) could be achieved in practice.
Interfering Ions
Figure 3G shows the interference of coexisting ions on ASBB’s sorption of U(VI). When the dosage of ASBB was 0.30 g/L, Na+ had little effect on the removal of U(VI) by ASBB, while it would be inhibited by Mg2+, Pb2+, and Cr6+. In particular, Cr6+ had the greatest impact on ASBB’s sorption of U(VI). The main reason for this phenomenon might be the competitive sorption of these ions and U(VI) on the surface of ASBB. Unlike these ions, Fe3+ facilitated the U(VI) removal. The main reason might be that when pH = 6, Fe3+ could be hydrolyzed into Fe(OH)3 colloids (Feng et al., 2013), and U(VI) could be combined with Fe(OH)3 (Bruno et al., 1995). As a result, the efficiency of ASBB’s removal of U(VI) was improved. When the dosage of ASBB was increased to 0.50 g/L, U(VI) could still be efficiently adsorbed by ASBB under the interference of various ions. Therefore, when there are interfering ions in the solution, it is recommended to increase the dosage of ASBB or add a certain amount of Fe3+ to improve the removal rate of U(VI).
Kinetic and Thermodynamic Analysis of Sorption
Figure 4A and Table 3 show the results of the PFO and PSO models when they were applied to experimental data. The correlation coefficient R2 was 0.998 (PFO) and 0.997 (PSO), indicating that both physical and chemical sorption occurred during the sorption of U(VI) by ASBB.
FIGURE 4. Kinetic and thermodynamic fitted curve. (A) Kinetic fitted curve, (B) thermodynamic fitted curve.
The results of the thermodynamic analysis are illustrated in Figure 4B and Table 4. The maximum specific sorption capacity was qm = 178.194 mg/g (ASBB adsorbent), a value consistent with the laboratory result qm = 179.88 mg/g. The correlation coefficient was 0.943 (Langmuir model) and 0.989 (Freundlich model), indicating that the sorption of U(VI) by ASBB was mostly dominated by multilayer sorption.
Characterization and Mechanism Analysis of Uranium Recovered by Acetic Acid-Modified Sludge-Based Biochar
Morphological Characteristics of Sludge-Based Biochar, Acetic Acid-Modified Sudge-Based Biochar, and Acetic Acid-Modified Sludge-Based Biochar—Uranium
The microstructure and surface elements of SBB, ASBB, and ASBB-U (i.e., used ASBB adsorbent after uranium sorption) were characterized by SEM and EDS (Figure 5). As shown in Figures 5A, C, E, the pore size of the SBB surface was quite small, while a more developed pore structure was presented on the surface of ASBB. More reaction sites could be provided by ASBB to adsorb U(VI). When the sorption was completed, the ASBB microstructure changed. The pore structure of ASBB-U obviously decreased, due to the combination of U(VI) with the functional groups on the ASBB surface, or to the direct sorption of U(VI) in the pore network of ASBB. These results were consistent with the results of BET analysis (vide infra).
FIGURE 5. Scanning electron microscope (SEM) and energy-dispersive x-ray spectroscopy (EDS) characterization results of SBB, ASBB, and ASBB-U, (A) SEM of SBB’ surface, (B) EDS of SBB’ surface, (C) SEM of ASBB’ surface, (D) EDS of ASBB’ surface, (E) SEM of ASBB-U’ surface, (F) EDS of ASBB-U’ surface.
According to Figure 5B, the main surface elements of SBB were C, O, K, and Si in general. Figure 5D shows that the fresh ASBB surface mainly consisted of C, O, Al, Si, P, K, and Fe. An amount of U was observed on the ASBB-U surface (Figure 5F). The weight percentage was about 4.05 wt%. This indicated that uranium was successfully adsorbed by ASBB.
Brunauer–Emmett–Teller Comparison of Sludge-Based Biochar, Acetic Acid-Modified Sludge-Based Biochar, and Acetic Acid-Modified Sludge-Based Biochar—Uranium
Figure 6A and Table 5 show the BET results for SBB, ASBB, and ASBB-U. As in Figure 6A, the isothermal sorption–desorption curves of SBB, ASBB, and ASBB-U all belonged to the unique I/IV isothermal sorption–desorption path with the H4 hysteresis curve (Lu et al., 2018b). It means that the porosity network of these materials was structured into micropores, mesopores, and macropores. According to the pore size distribution map (Figure 6A inside), SBB was mainly mesoporous and macroporous (mean pore size around 50 nm), ASBB was mainly mesoporous (pores of 2 and 20–50 nm), and ASBB-U was mainly mesoporous (2 nm pores) and meso/macroporous (50 nm pores). By comparing the pore size distribution of ASBB before and after uranyl ion sorption, it was found that mesopores decreased after uranium sorption, indicating that the main reaction site was within this pore range. In addition, an inflection point near the monolayer sorption was observed in the isotherm. Multilayer sorption gradually took place with the increase in relative pressure. These phenomena were consistent with the fitting results by the sorption isotherm models above.
FIGURE 6. Characteristics of SBB, ASBB, and acetic acid-modified sludge-based biochar—uranium (ASBB-U). (A) Brunner–Emmet–Teller (BET), (B) Fourier transform infrared spectroscopy (FTIR), (C) acidic group content, (D) x-ray photoelectron spectroscopy (XPS) total survey scans of ASBB-U, (E) XPS spectra of C1s, (F) XPS spectra of U4f.
The specific surface area (SSA) of ASBB increased with respect to the untreated biochar. Namely, a pore expansion function of acetic acid was observed. Then SSA for ASBB-U decreased. It indicates that uranyl ion was adsorbed in the pores of the ASBB surface. When the pores were blocked by the absorbed uranyl ion, the SSA of the adsorbent obviously decreased.
Group analysis of Sludge-Based Biochar, Acetic Acid-Modified Sludge-Based biochar, and Acetic Acid-Modified Sludge-Based Biochar-Uranium
FTIR analysis allowed to investigate the functional group modification when SBB was treated by acetic acid to give ASBB and the interaction of these groups with uranium during the sorption of U(VI) on ASBB. Results are illustrated in Figure 6B. According to literature (Gulnaz et al., 2005; Weng, 2010; Meng et al., 2019), –OH (3,427 and 1,070 cm−1), –COO (1,406 and 1,617 cm−1), –Si–O–Si (781 cm−1), and -CCl4 (476 cm−1) were the main groups retrieved on the surface of SBB, ASBB, and ASBB-U. When the FTIR spectra of SBB, ASBB, and ASBB-U are compared, it is seen that –COO (1,406.32 cm−1) was found on the ASBB surface as a new group with respect to SBB, indicating the modification of SBB by acetic acid. Moreover, when uranium was adsorbed on ASBB, some of the peak’s position and intensity changed. The peak of –OH stretching vibration at 1,331.37 cm−1 disappeared, indicating that –OH might react with U(VI) by deprotonation. In addition, the symmetric stretching vibration peak of –COO at 1,406.32 cm−1 moved to 1,384.53 cm−1. Although the peak shape was stable, its intensity was enhanced. The difference of the stretching vibration frequency between –COO antisymmetric stretching vibration peak (1,617.82 cm−1) and –COO symmetric stretching vibration peak (1,384.53 cm−1) was more than 200 cm−1 (233.29 cm−1). This indicates that –COO and U(VI) were combined in monodentate coordination mode (Weng, 2010).
Figure 6C shows the acid group content of SBB, ASBB, and ASBB-U. Compared with SBB, the contents of –COOH and –COO in ASBB had been increased by 0.07 and 0.04 mmol/g, respectively, indicating that SBB had been well loaded with acetic acid, and its loading was about 0.11 mmol/g. After the ASBB reaction in UCW was completed, the content of –COOH was significantly reduced, while the content of –COO was increased, indicating the sorption of –COOH on U(VI). Combined with FT-IR analysis, U(VI) could be combined with –COO to purify UCW.
Valence state on Acetic Acid-Modified Sludge-Based Biochar—Uranium’s Surface
Figure 6D–F present the XPS analysis results for ASBB-U’s surface. From Figure 6D, it is seen that the main peak around 532 eV belongs to O1s, the peak around 285 eV to C1s, and the peak around 382 and 375 eV to U4f. It could be concluded that the surface of ASBB-U was mainly composed of C and O elements, and a certain amount of U(VI) adsorbed on the surface. In C1s spectrum (Figure 6E), the C1s component near 284.75 eV might be associated with C–H (Ding et al., 2018). Besides, the C1s spectrum could show C = O near 285.75 and 288.86 eV (Zhao et al., 2019). Moreover, the blending energy of U4f2/5 (382.4 eV, 385.2 eV) corresponded to U(VI) on the surface of ASBB-U (Figure 6F) (Husnain et al., 2017; Tan et al., 2018), indicating that no redox reaction happened in uranium sorption process by ASSB.
Mechanism of Modification and Sorption
Following the experimental results, various characterization methods (BET, SEM, EDS, FTIR, XPS), and relevant references (Li et al., 2021; Liu et al., 2021), the mechanism of SBB modification and uranium sorption by ASBB was inferred. A schematic diagram is displayed in Figure 7: 1) The reaction probability of ASBB to uranium was greatly improved, due to the increased pore diameter, specific surface area, and functional group (–COOH) number by acetic acid modification of SBB. 2) The most suitable interaction between uranium ion and adsorbent under suitable reaction conditions might be of van der Waals type (Hussein et al., 2016), as witnessed by the decrease in SSA and pore size after the reaction of ASBB with USW. 3) –COOH had a good uranium sorption behavior (Park et al., 2019). At pH = 5, –H on –COOH could be easily replaced by uranium, which mainly existed in the form of (UO2)3(OH)5+ and (UO2)4(OH)7+. They were combined with –COO in monodentate coordination. The specific equation reads (Eq. 7):
FIGURE 7. Schematic diagram of SBB modification and uranium adsorbed by ASBB. (A) SBB, (B) ASBB, (C) ASBB-U.
Conclusion
Excess sludge (ES) and acetic acid were utilized to obtain a robust adsorbent starting from sludge-based biochar (SBB), for U(VI) abatement in uranium-containing wastewater (UCW). Compared with SBB, the removal efficiency and sorption capacity of the acetic acid-modified biochar (ASBB) could be effectively improved. An optimal U(VI) removal rate of 97.8% could be achieved, while initial conditions were pH = 6.0, U(VI) = 10.0 mg/L (initial concentration), adsorbent dosage = 0.30 g/L, and sorption time = 5.0 min. The beneficial effect was attributed to the double action of expanding pores and increasing –COOH functional groups following the acetic acid modification treatment. The process of U(VI) sorption by modified biochar relies on both physical and chemical sorption. The U(VI) removal mechanism by ASBB was of monodentate coordination binding between –COO– and uranium. In addition, ASBB had good reusable performance. Hence, the quick sorption and outstanding efficiency of ASBB offer a meaningful support for the use of biochar in uranium recovery from UCW and for reutilization of ES.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author Contributions
SY: Resources, Investigation, Writing—Original Draft. XW: Validation, Writing—Review and Editing. JY: Validation. ML: Validation, Visualization. QZ: Investigation. XZ: Validation. CL: Investigation. WX: Investigation. KS: Investigation. YL: Supervision.
Funding
This study was financially supported by the National Natural Science Fund of China (Nos. 51704169, 51874180, 11875164), National Defense Science and Technology Bureau of China on the “13th Five-Year Plan” Technology Basic Scientific Research Project (No. JSZL2018****001, JSZL2018****008), Hunan Provincial Innovation Foundation for Postgraduate (No. CX20190711), and Research and Development Projects in Key Areas of Hunan Province (No. 2019SK 2011).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed nor endorsed by the publisher.
Abbreviations
ASBB, acid-modified sludge-based biochar; ASBB-U, Acetic acid-modified sludge-based biochar—uranium; BET, Brunner–Emmet–Teller; EDS, energy-dispersive x-ray spectroscopy; ES, excess sludge; FTIR, Fourier transform infrared spectroscopy; SBB, sludge-based biochar; SEM, scanning electron microscope; SSA, specific surface area; UCW, uranium-containing wastewater; WWTP, wastewater treatment plant; XPS, x-ray photoelectron spectroscopy.
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Keywords: uranium, uranium-containing wastewater, excess sludge, acetic acid, sludge-based biochar
Citation: Yu S, Wu X, Ye J, Li M, Zhang Q, Zhang X, Lv C, Xie W, Shi K and Liu Y (2022) Dual Effect of Acetic Acid Efficiently Enhances Sludge-Based Biochar to Recover Uranium From Aqueous Solution. Front. Chem. 10:835959. doi: 10.3389/fchem.2022.835959
Received: 15 December 2021; Accepted: 11 January 2022;
Published: 22 February 2022.
Edited by:
Shuaifei Zhao, Deakin University, AustraliaReviewed by:
Jin Wang, Guangzhou University, ChinaYanbiao Liu, Donghua University, China
Min Wang, Jinan University, China
Copyright © 2022 Yu, Wu, Ye, Li, Zhang, Zhang, Lv, Xie, Shi and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiaoyan Wu, d3V4aWFveWFuQHVzYy5lZHUuY24=; Yong Liu, MTk5MjAwMTc1MUB1c2MuZWR1LmNu