Huu Tap Van*a,
Lan Huong Nguyenb,
N. V. Dang*c,
Huan-Ping Chaod,
Quang Trung Nguyena,
Thu Huong Nguyena,
Thi Bich Lien Nguyena,
Dang Van Thanhe,
Hai Duy Nguyenf,
Phan Quang Thangg,
Pham Thi Ha Thanhh and
Vinh Phu Hoangi
aFaculty of Natural Resources and Environment, TNU – University of Sciences (TNUS), Tan Thinh Ward, Thai Nguyen City 24000, Vietnam. E-mail: tapvh@tnus.edu.vn
bFaculty of Environment – Natural Resources and Climate Change, Ho Chi Minh City University of Food Industry (HUFI), Ho Chi Minh City, Vietnam
cFaculty of Physics and Technology, TNU – University of Sciences (TNUS), Tan Thinh Ward, Thai Nguyen City, Vietnam. E-mail: dangnv@tnus.edu.vn
dDepartment of Environmental Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
eTNU – University of Medicine and Pharmacy, Thai Nguyen, Vietnam
fFaculty of Environment, Thai Nguyen University of Agriculture and Forestry (TUAF), Thai Nguyen City 24000, Vietnam
gInstitute of Environmental Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Road, Ha Noi City, Vietnam
hFaculty of Chemistry, TNU – University of Education, No. 20, Luong Ngoc Quyen Road, Thai Nguyen City, Vietnam
iSchool of Chemistry, Biology and Environment, Vinh University, No. 182 Le Duan, Vinh City, Nghe An Province, Vietnam
First published on 2nd February 2021
In this study, two types of agricultural wastes, sugarcane bagasse (SB) and cassava root husks (CRHs), were used to fabricate biochars. The pristine biochars derived from SB and CRHs (SBB and CRHB, respectively) were modified using ZnO nanoparticles to generate modified biochars (SBB-ZnO and CRHB-ZnO, respectively) for the removal of Reactive Red 24 (RR24) from stimulated wastewater. Batch experiments were performed to evaluate the effects of ZnO nanoparticles' loading ratio, solution pH, contact time, and initial RR24 concentration on the RR24 adsorption capacity of biochars. The RR24 adsorption isotherm and kinetic data on SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3 were analyzed. Results indicate that SB- and CRH-derived biochars with a ZnO nanoparticle loading ratio of 3 wt% could generate maximum adsorption capacities of RR24 thanks to the double growth on the BET surface of modified biochars. The RR24 adsorption capacities of CRHB-ZnO3 and SBB-ZnO3 reached 81.04 and 105.24 mg g−1, respectively, which were much higher than those of pristine CRHB and SBB (66.19 and 76.14, respectively) at an initial RR24 concentration of 250 mg L−1, pH 3, and contact time of 60 min. The adsorption of RR24 onto biochars agreed well with the pseudo-first-order model and the Langmuir isotherm. The RR24 adsorption capacity on modified biochars, which were reused after five adsorption–desorption cycles showed no insignificant drop. The main adsorption mechanisms of RR24 onto biochars were controlled by electrostatic interactions between biochars' surface positively charged functional groups with azo dye anions, pore filling, hydrogen bonding formation, and π–π interaction.
Several methods comprising biological treatment, chemical and electrochemical coagulation, membrane separation, and advanced oxidation can effectively treat dyes.6,7 The biological method could partly remove azo dyes from wastewater with low cost and environment friendliness but high risk to microbial life due to their toxicity.8 On the other hand, physical and chemical methods prove effective in the treatment of dyes.9 Among physicochemical treatment methods, adsorption is considered an effective method for the removal of azo dyes compared with the other methods because of its relatively low operation cost, high treatment efficiency, non-toxicity, and in particular, it was suitable for the removal of the residue from the secondary effluent. Recently, a wide range of adsorbents have been applied in the treatment of azo dyes, consisting of zeolites,10 activated carbon,11 biochar,12 fly ash,13 magnetic graphene oxide/chitosan composites,14 and nanoparticles.15,16 Among adsorbents, biochars generated from agricultural wastes have widely been used to remove different pollutants. For example, bael shell (Aegle marmelos)-derived biochar was used for the treatment of patent blue dye17 and corncob-derived biochar was employed for the removal of ammonia from simulated wastewater.18
Out of agricultural wastes, cassava root husks (CRHs) and sugarcane bagasse (SB) have been widely used to produce biochars as low-cost non-toxic adsorbents for the removal of various pollutants from wastewater. In particular, carbon materials have a high surface area with a large pore volume and modified materials possess more oxygen-containing functional groups, which enhance H bonding and π–π interaction between biochar and the aromatic ring contaminants.19 For instance, cassava residue-derived biochars were used to remove methylene blue,20 Cd,21 and malachite green22 from aqueous solutions, whereas SB-derived biochars were applied to adsorb pollutants such as Congo red,23 benzidine, o-toluidine,24 and phosphorus25 from wastewaters. However, these CRHs and SB derived-pristine biochars required a long adsorption time with a limited surface area and a badly-developed pore structure and gave low adsorption capacity toward macromolecules such as azo dyes, which is not conducive for application in practice. Therefore, a number of investigators intended to modify the CRH- and SB-derived biochars (CRHB and SBB, respectively) by various methods. At present, SBB has been modified by aluminum sulfate for the removal of industrial cutting fluid26 and Pb2+ ions,27 while Mg has been employed for the treatment of ammonium and phosphate ions28 and TiO2 nanoparticle-loaded SBB for the adsorption of methylene blue29 to improve its adsorption efficiency, whereas the studies regarding the use of CRHBs for the removal of pollutants are quite scarce. In particular, research about the modification of both CRHB and SBB by loading ZnO nanoparticles for the removal of azo dyes from aqueous solutions have not been found in the literature.
Moreover, cassava and sugarcane are the most popular agricultural plants in Asia and Vietnam. Annually, large amounts of CRHs and SB are generated, leading to difficulties in solid waste management and treatment. Hence, the utilization of these wastes to fabricate biochars, then their modification by loading ZnO nanoparticles to obtain effective adsorbents for the enhancement of contaminant removal from aqueous solution should be of interest.
In this study, to enhance the RR24 adsorption efficiency and capacity onto the biochars, the ZnO nanoparticles were chosen to fully load onto the biochars' surface. The reason for this was because the ZnO nanoparticles possess a high surface area, low-cost, non-toxicity, and high chemical stability.30–32 Furthermore, there were some scholars that have reported to use biochar derived from various materials, which were impregnated in ZnO nanoparticles to improve the adsorption capacity of different pollutants from wastewater. The reports indicated that in comparison with pristine biochars, the biochars modified by nanoparticles exhibited excellent higher adsorption capacity towards various pollutants in wastewater.33,34 Hence, the present work chose ZnO nanoparticles to load on the cassava root husks (CRHs) and sugarcane bagasse (SB) derived-pristine biochars for the adsorption of RR24 from aqueous solution.
The findings in this study showed that the generation of ZnO-modified biochars derived from agricultural wastes is a new, suitable, and feasible approach to treat persistent organic pollutants in wastewater.
To achieve this goal, batch adsorption experiments were conducted using modified biochars under different operational conditions to investigate the effects of the loading ratio of ZnO nanoparticles, the solution pH, contact time, adsorbent dosage, and initial RR24 concentration on the RR24 adsorption capacity onto the biochars. The characteristics of biochars, which comprised textural, morphology properties, and surface chemistry were systematically analyzed. Also, the RR24 adsorption isotherm and kinetics for adsorption on the biochars were investigated to elucidate the adsorption mechanisms of RR24 onto the ZnO nanoparticle-modified biochars.
The obtained results can be used to evaluate the potential of application of ZnO nanoparticle-modified biochars for the adsorption of azo dyes from wastewater with a new, low-cost, and highly effective adsorbent.
For the fabrication of modified biochars, an incipient wet-impregnation method followed by heating at 100 °C was used to load ZnO nanoparticles onto pristine CRHB and SBB. The above obtained ZnO nanoparticles were added into 250 mL Erlenmeyer flasks, which contained a certain amount of CRHB or SBB and distilled water. The loading ratio of ZnO onto biochars ranged between 1 and 5 wt%. The mixtures were subsequently stirred for 30 min at 25 ± 2 °C to obtain the biochars, which was contained in the suspensions. In the next step, the suspensions were heated at 100 °C for 4 h. Finally, the suspensions were filtered and dried at 105 °C for 2 h to obtain the modified biochars. The obtained modified biochars were labelled as CRHB-ZnO and SBB-ZnO. The ZnO-modified CRHB and SBB samples at the ZnO nanoparticle loading ratio of 1, 3, and 5 wt%, respectively, were termed as CRHB-ZnO1, CRHB-ZnO3, CRHB-ZnO5 and SBB-ZnO1, SBB-ZnO3, SBB-ZnO5. All the modified biochar samples were stored in plastic bags and were subsequently used for conducting RR24 adsorption experiments.
To determine the optimal ZnO nanoparticle loading ratio, 1.0 g L−1 of each adsorbent (SBB, SBB-ZnO1, SBB-ZnO3, SBB-ZnO5, CRHB, CRHB-ZnO1, CRHB-ZnO3, and CRHB-ZnO5) and 25 mL of the 200 mg L−1 RR24 solution were separately supplemented into each 50 mL Erlenmeyer flask. The flasks were then shaken at 120 rpm using a PH-4A shaker (STECH, China) for 120 min at pH 4. The effect of the solution pH in the range of 3–10 on RR24 adsorption by biochars was performed at an initial RR24 concentration of 200 mg L−1, adsorbent dose of 1.0 g L−1, and contact time of 60 min.
The experiments aimed to study RR24 adsorption kinetic onto CRHB, SBB and CRHB-ZnO, SBB-ZnO (at the optimal loading ratio of ZnO nanoparticles) were conducted by varying the contact time in the range of 5–120 min with fixed experimental conditions at the above obtained optimal pH value at an initial RR24 concentration of 200 mg L−1 and adsorbent dose of 1.0 g L−1.
In addition, the RR24 adsorption isothermal experiments onto CRHB, SBB, CRHB-ZnO, and SBB-ZnO were also conducted by varying the initial RR24 concentrations in the range of 25–350 mg L−1 with the optimal parameters determined in the above experiments with an adsorbent dosage of 1.0 g L−1. The samples collected at regular intervals during the experiment process were filtered through 0.45 μm filters. The remaining RR24 concentration in the filtrates was determined by the colorimetric method at the wavelength of 534 nm using a Z2000 (Shimadzu, Japan) UV-Vis spectrophotometer.6
The reusability experiments were performed in the batch mode at an initial RR24 concentration of 200 mg L−1, adsorbent dose of 1.0 g L−1, solution pH of 3, and contact time of 60 min at room temperature (25 ± 2 °C) using adsorbents that were regenerated in the above experiments.
(1) |
(2) |
All the experiments were conducted in two parallel samples at the same time. The data were analyzed using MS Excel and Origin 9.0 software. The data were presented as mean ± standard deviation.
Dye–SO3Na → dye–SO3− + Na+ | (3) |
Therefore, at low pH levels, the high adsorption capacities of the biochars for RR24 were attributed to the chemical adsorption, which was dominated by the electrostatic interaction between the positively charged functional groups on the surfaces of the biochars and dye–SO3− anions.3,4 Moreover, in the aforementioned experiments, at a solution pH of 3, the RR24 adsorption capacities of CRHB and CRHB-ZnO3 were marginally lower than those of SBB and SBB-ZnO3. This might be ascribed to the higher pHPZC values of CRHB and CRHB-ZnO3 than those of SBB and SBB-ZnO3 (Fig. 2b). Nonetheless, the RR24 adsorption capacities of the aforementioned adsorbents saw a moderate downward trend at higher solution pH levels. These results were due to the competition between the dye–SO3− and OH− anions in solution, which resulted in a reduction in the intensity of the interactions between the dye–SO3− anions and positively charged ions on the surface of the biochars.17 Besides, the electrostatic repulsive forces could have occurred between the dye–SO3− anions and positively charged ions on the surfaces of the biochars.4 The fall in the adsorption capacities of the adsorbents for anionic dyes when raising the solution pH from acidic to alkaline was similar to that in the other studies.2,3,17 Therefore, it can be concluded that a pH 3 was optimal for the adsorption of RR24 onto SBB-ZnO3 and CRHB-ZnO3, and the electrostatic attraction was the main mechanism for RR24 adsorption onto the biochars. Besides, there was also the contribution of pore filling, π–π interaction, and hydrogen bonding formation mechanisms in the adsorption process of RR24 onto the biochars.40,41
In this study, the pseudo-first-order (PFO)42 and pseudo-second-order (PSO)43 kinetic models were used to describe the adsorption dynamics of RR24 onto the biochars. The non-linearized forms of the PFO and PSO kinetic models can be expressed as follows.
qt = qe(1 − e−k1t) | (4) |
(5) |
Table 2 illustrates the correlation coefficients (R2) of RR24 adsorption onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3 after fitting the experimental data using the PFO and PSO models. The R2 values were close to 1.0. In addition, the qe values calculated using the PFO (qe,cal = 66.57–94.31 mg g−1) and PSO (qe,cal = 65.51–98.01 mg g−1) kinetic models were in good agreement with the experimental values (qe,exp = 65.18–95.13 mg g−1). Consequently, both the PFO and PSO models well-described RR24 adsorption onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3. However, the qe,cal calculated values using the PFO model were closer to the qe,exp data. These results demonstrate that the PFO model could be used to describe the adsorption of RR24 on the biochars more effectively than on the PSO model. Furthermore, these results indicate that the adsorption of RR24 onto the biochars was dominated by valence forces via the sharing of electrons between the dye anions and cations on the adsorbent surface.44 The closing qe,cal and qe,exp values obtained using the PFO and PSO models suggest that the rate-limiting step for the adsorption process was chemisorption, originating from the bidentate type bridge between the SO3− anions of RR24 and the adsorbents,45 which caused the modified biochars combined with RR24 by chemical attraction to have stable physicochemical characteristic and thus have no secondary pollution effects on the environment. Similar adsorption mechanisms of the azo dyes have been previously reported, including the adsorption of Remazol Black 5 and Remazol Brilliant Orange 3R onto glutaraldehyde-crosslinked chitosans;44 the adsorption of azo dye Orange II onto iron-benzene tricarboxylate7 and the adsorption of Congo red onto porous CeO2 nanotubes.45
Adsorbent | ||||
---|---|---|---|---|
SBB | SBB-ZnO3 | CRHB | CRHB-ZnO3 | |
Pseudo-first order model | ||||
qe (mg g−1) | 71.63 | 94.31 | 66.57 | 82.54 |
k1 (g (mg−1 min−1)) | 0.1179 | 0.0907 | 0.0716 | 0.0718 |
R2 | 0.9884 | 0.9778 | 0.9878 | 0.9892 |
Pseudo-second order model | ||||
qe (mg g−1) | 78.61 | 98.01 | 65.51 | 84.28 |
k2 (min−1) | 0.0021 | 0.0015 | 0.0012 | 0.0015 |
R2 | 0.9909 | 0.9609 | 0.9629 | 0.9769 |
Fig. 4 RR24 adsorption isotherms onto the biochars: (a) Langmuir model; (b) Freundlich model, and (c) Sips model. |
To further elucidate the adsorption mechanism of RR24 onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3, the Langmuir,47 Freundlich,48 and Sips49 models were applied (eqn (6), (7), and (8), respectively) to fit the experimental data.
(6) |
qe = KFCe1/n, | (7) |
(8) |
The calculated KF, KL, and R2 values for the three models are presented in Table 3 and the plots are illustrated in Fig. 4. It is significant from the data in Table 3 and Fig. 4 that all the calculated R2 values were higher than 0.95, which confirmed that the aforementioned models fitted the experimental data very well for RR24 adsorption onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3 (Table 3). However, the experimental data fitted the Langmuir model (R2 > 0.99) better than the Sips (R2 = 0.9808–0.9912) and Freundlich models (R2 = 0.9697–0.9947). The qe,cal values for CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3 ranged between 64.71–110.36 mg g−1 (Langmuir model) and 80.64–107.07 (Sips model). Furthermore, in this study, KL ranged between 0.0007–0.0135. These values were lower than unity, which indicated that adsorption was favorable.7 Besides, the n values of the Freundlich model was in the range of 1.434–2.332, which was higher than that of the Sips model (0.8862–1.5931), confirmed that RR24 adsorption onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3 was favorable.50 The qe,cal values of CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3 reached 64.71, 82.15, 74.11, and 101.36 mg g−1 for the Langmuir model and 63.54, 79.66, 80.64, and 107.07 for the Sips model, respectively, and the corresponding qe,exp values were 66.19, 81.04, 76.14, and 105.24 mg g−1. To summarize, it can be concluded from the results summarized in Fig. 4 and Table 3 that the Langmuir model was the most suitable for describing the RR24 adsorption kinetics onto CRHB, CRHB-ZnO3, SBB, and SBB-ZnO3. These findings demonstrated that RR24 adsorption onto the biochars occurred via monolayer adsorption onto a homogeneous surface. The analogue results have been reported for the adsorption of anionic azo dyes onto different absorbents, such as graphene oxide,51 fly ash-iron oxide magnetic nanocomposites,10 and gasification wood residue-derived biochar.52
Model | Adsorbents | |||
---|---|---|---|---|
SBB | SBB-ZnO3 | CRHB | CRHB-ZnO3 | |
Langmuir | ||||
qe,cal (mg g−1) | 77.41 | 110.36 | 64.71 | 82.15 |
KL (L mg−1) | 0.0155 | 0.0135 | 0.0038 | 0.0007 |
R2 | 0.9975 | 0.9925 | 0.9972 | 0.9996 |
Freundlich | ||||
KF (mg g−1) (mg L−1)n | 6.5452 | 9.2968 | 1.2510 | 4.6569 |
n | 2.3315 | 2.3288 | 1.4342 | 1.9605 |
R2 | 0.9947 | 0.9902 | 0.9697 | 0.9497 |
Sips | ||||
qe,cal (mg g−1) | 80.64 | 107.07 | 63.54 | 79.66 |
b | 0.0272 | 0.0209 | 0.0030 | 0.0048 |
n | 1.5931 | 1.2114 | 0.8950 | 0.8862 |
R2 | 0.9912 | 0.9895 | 0.9887 | 0.9808 |
In this study, to confirm the feasibility of the biochars for the removal of dyes from textile industry effluents, the RR24 adsorption capacity onto various biochars was compared with those of several adsorbents for the removal of different azo dyes reported in previous studies and the results are summarized in Table 4. From Table 4, it can be seen that to date, no studies have focused on the use of CRHB-ZnO and SBB-ZnO for the removal of RR24 from aqueous solutions. The maximum adsorption capacities (qmax) of CRHB-ZnO and SBB-ZnO for RR24 were higher than those of many other adsorbents, comprising wheat straw biochar for the removal of methylene blue dye53 and magnetic zeolite/iron oxide nanocomposite for the removal of reactive orange 16.10 Meanwhile, the adsorption capacities of the adsorbents in this study were similar to that of magnetic cobalt-iron oxide nanoparticles (CoFeNPs1/CoFeNPs2) for the removal of reactive orange 16.15 However, several adsorbents have presented higher RR24 adsorption capacities than those of the biochars in this study, namely, CuFe2O4/activated carbon for the adsorption of acid orange 7,54 Eucalyptus sheathiana bark biochar for the removal of methylene blue dye,12 and Zr-based chitosan for the adsorption of Orange II.4 The optimal solution pH for RR24 adsorption in this study was similar to those for the adsorption of various azo dyes reported in ref. 15, where CoFeNPs1/CoFeNPs2 was used for the removal of reactive orange 16, and in ref. 4, where Zr-based chitosan was utilized for the removal of Orange II. These comparison results demonstrate that CRHB-ZnO and SBB-ZnO are feasible, low-cost, and highly effective for the removal of azo dyes from wastewater.
Azo dye | Adsorbent | pH | Time (min) | qmax (mg g−1) | References |
---|---|---|---|---|---|
Acid orange 7 | CuFe2O4/activated carbon | 5.2 | 1140 | 392 | 54 |
Reactive orange 16 | CoFeNPs1/CoFeNPs2 | 4 | 75 | 68 | 15 |
Methylene blue | Magnetic zeolite/iron oxide nanocomposite | 10 | 40 | 1.1 | 10 |
Eucalyptus sheathiana bark biochar | 11.3 | 150 | 104.2 | 12 | |
Wheat straw biochar | 8–9 | 120 | 12.03 | 53 | |
Orange II | Zr-based chitosan | 2 | 30 | 926 | 4 |
Reactive red 24 | CRHB-ZnO3 | 3 | 60 | 71.13 | This study |
SBB-ZnO3 | 3 | 60 | 75.13 | This study |
Fig. 5 Reusability of modified biochars for the removal of RR24 through five adsorption–desorption cycles. |
Fig. 6 SEM of (a) pristine SBB and (b) SBB-ZnO3 before and (c) SBB-ZnO3 after RR24 adsorption; EDX of (d) pristine SBB and (e) SBB-ZnO3 before and (f) SBB-ZnO3 after RR24 adsorption. |
Fig. 7 SEM of (a) pristine CRHB and (b) CRHB-ZnO3 before and (c) CRHB-ZnO3 after RR24 adsorption; and EDX of (d) pristine CRHB and (e) CRHB-ZnO3 before and (f) CRHB-ZnO3 after RR24 adsorption. |
The results of EDS analysis indicated that the constituents of SBB, SBB-ZnO3 before, and SBB-ZnO3 after RR24 adsorption mostly consisted of C (81.63%, 57.62%, and 83.54%, respectively) and O (18.37%, 38.28%, and 15.61%, respectively) (Fig. 6d–f). In addition, the Zn content of SBB-ZnO3 before and after the adsorption of RR24 were 4.10% and 0.85%, respectively. The O content of SBB-ZnO3 before RR24 adsorption was higher than that of pristine SBB, which demonstrated that ZnO nanoparticles were successfully loaded onto the surface of SBB.
Similarly, the constituents of pristine CRHB, CRHB-ZnO3 before, and CRHB-ZnO3 after RR24 adsorption mostly consisted of C and O elements (Fig. 7d–f). However, CRHB and CRHB-ZnO3 also contained Al, Si, K, Ca, and Fe. The presence of Zn in CRHB-ZnO3 before and after the adsorption of RR24 further confirmed that the ZnO nanoparticles were successfully loaded onto the surface of CRHB.
Clearly, the ZnO-modified biochars before the adsorption of RR24 developed quite a good pore structure and surface area, leading to more sites for the adsorption of RR24. After the adsorption of RR24, the pore structure on the biochars' surface disappeared, which proved that RR24 were partly adsorbed onto the biochars through the pore filling mechanism.41
The analysis of FTIR spectra of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3 in Fig. 8 shows that the oxygen-containing main functional groups on the surface of the biochars before and after RR24 adsorption were C–H, C–O, CC, CO, and –OH. The peak associated with the stretching vibration of the –OH groups was observed at 3651 cm−1 in the FTIR spectra of SBB, SBB-ZnO3 before, and after RR24 adsorption (Fig. 8a) at 3873 cm−1 in the FTIR spectra of CRHB and CRHB-ZnO3 before the adsorption of RR24, and at 3749 cm−1 in the FTIR spectrum of CRHB-ZnO3 after the adsorption of RR24. The peaks in the range of 3500–3900 cm−1 confirmed the presence of –OH groups in the structures of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3.56 The peaks in the ranges of 520–876 cm−1 in CRHB and CRHB-ZnO3 before and after RR24 adsorption (Fig. 8b) and 553–767 cm−1 in SBB and SBB-ZnO3 before and after RR24 adsorption of RR24 (Fig. 8a) suggested the presence of C–H groups in the structures of these adsorbents.39 Furthermore, the peak at 750 cm−1 in the spectrum of CRHB-ZnO3 before the adsorption of RR24 shifted to 720 cm−1 in the spectrum of CRHB-ZnO3 after the adsorption of RR24. The peaks of the C–O groups were observed at 900, 1249, 1370, and 1452 cm−1 in the FTIR spectra of SBB and SBB-ZnO3 before and after RR24 adsorption and at 1025, 1089, 1121, 1241, and 1383 cm−1 in the FTIR spectra of both CRHB and CRHB-ZnO3 before and after the adsorption of RR24.29 The peaks associated with the CC groups were observed in the wavenumber range of 2349–2520 cm−1 in the FTIR spectra of both CRHB and CRHB-ZnO3 before and after RR24 adsorption.27 Furthermore, the peaks at 1121, 1241, and 1383 cm−1 in the FTIR spectrum of CRHB-ZnO3 before RR24 adsorption shifted to 1089, 1212, and 1416 cm−1, respectively, in the FTIR spectrum of CRHB-ZnO3 after the adsorption of RR24. The peaks of the CC groups represented the characteristic peak of benzene ring or the aromatic ring, which was observed at 1592 cm−1 (SBB, SBB-ZnO3 before, and SBB-ZnO3 after RR24 adsorption) and 1582 cm−1 (CRHB, CRHB-ZnO3 before, and CRHB-ZnO3 after the adsorption of RR24). Besides, the peak of the CO group was identified at 1705 cm−1 (SBB, SBB-ZnO3 before, and SBB-ZnO3 after RR24 adsorption).27 These oxygen-containing functional groups acted as π-electron acceptors during the adsorption process.57 The loading of ZnO nanoparticles onto the biochars during the carbonization process resulted in the aromatization of the carbon skeleton.58 Moreover, RR24 are organic compounds and contain unsaturated bonds. In this study, the formed biochars at the pyrolysis temperature of 400 °C had aromatic ring structures, which enhanced the π–π interaction thanks to the CC and CO bonds on the biochars' surface (Fig. 8). The formation of π–π interaction was due to the aromatic rings of the RR24 molecules, which acted as π-electron acceptors and the aromatic ring structure of the modified biochars (i.e., C–O–C and CO) acted as π-electron donors.41 Thus, π–π interaction was regarded as a potential adsorption mechanism for the adsorption of RR24 onto the modified biochars. Besides, hydrogen bonding occurred between the phenolic group of RR24 and the oxygen-containing groups on the biochars' surface (i.e., –COOH or –OH),59 leading to the enhancement of RR24 adsorption onto the biochars.
Fig. 8 FTIR of pristine SBB and SBB-ZnO3 before and after RR24 adsorption (a) and (b) pristine CRHB and CRHB-ZnO3 before and after RR24 adsorption. |
The surface charge measurements revealed that the pHPZC values of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3 were 6.60, 6.69, 8.25, and 6.69, respectively, which were higher than that of solution pH, leading to the biochars' surface predominantly positive charge due to the deprotonation of oxygen-containing surface groups. Therefore, the electrostatic attraction between the dye–SO3− anions and positively charged adsorption sites of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3 increased, which corresponded to the increase in the RR24 adsorption capacities of the biochars at a solution pH of 3. In this study, the data analysis of the adsorption isotherms and kinetic further demonstrated that adsorption was mainly controlled by the electrostatic interactions between RR24 and the biochars. Moreover, the functional groups on the surfaces of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3 played an important role in RR24 adsorption. In addition, Zn4+ ions could be formed via the protonation of the Zn atoms on the surfaces of SBB-ZnO3 and CRHB-ZnO3 at low pH levels. Therefore, electrostatic interactions could have occurred between the Zn4+ cations and dye–SO3− anions.4 On the other hand, the dye removal mechanism was predicted by functional groups using FTIR spectroscopy. The FTIR spectra of SBB-ZnO3 and CRHB-ZnO3 before and after RR24 adsorption are depicted in Fig. 8. The peaks ascribed to the –OH, C–H, and C–O groups shifted significantly after the adsorption of RR24, probably owing to the strong interactions between SBB-ZnO3 or CRHB-ZnO3 and RR24, from which it can be concluded that the aromatic group joined in the whole adsorption process.
The RR24 adsorption capacity of SBB-ZnO3 was the highest in all the samples owing to the BET surface area and pore volume of SBB-ZnO3 being higher than those of SBB, CRHB, and CRHB-ZnO3 (Table 1). The ZnO nanoparticles were easily loaded on the biochar with a high surface area and pore volume. Besides, the presence of Zn element on the surfaces of CRHB-ZnO3 and SBB-ZnO3 demonstrated the successful loading of ZnO nanoparticles onto pristine CRHB and SBB (Fig. 6 and 7, respectively). Furthermore, the adsorption capacities of SBB-ZnO3 and CRHB-ZnO3 were higher than those of pristine SBB and CRHB, respectively. This suggested that ZnO played an important role in RR24 adsorption onto SBB-ZnO3 and CRHB-ZnO3 by a noticeable growth in the high surface area of the modified biochars. The EDS results (Fig. 6e and 7e) indicated that the amount of Zn loaded on SBB-ZnO3 was higher than that of CRHB-ZnO3. Despite the appearance of several other elements (Ca, K, Fe, Al, and Si) on the surface of CRHB-ZnO3, the RR24 adsorption capacity of SBB-ZnO3 was also higher than that of CRHB-ZnO3. This indicated that ZnO nanoparticles on the surfaces of the biochars were the main factor that enhanced RR24 removal from the aqueous solutions. It can be explained that ZnO nanoparticles acted as both the adsorbents and photocatalysts for the degradation of RR24.60 Therefore, the adsorption capacity of SBB-ZnO3 was higher than those of SBB, CRHB, and CRHB-ZnO3 thanks to the highest amount of Zn present in SBB-ZnO3 (Fig. 6e and 7e).
The XPS results in Fig. 9 revealed the changes in the structures and valences of the elements present on the surfaces of SBB, SBB-ZnO3, CRHB, and CRHB-ZnO3. The Zn 2p peaks were observed at 1022.19 and 1021.86 eV in the XPS profiles of SBB-ZnO3 and CRHB-ZnO3, respectively. This further confirmed that the ZnO nanoparticles were successfully loaded onto these biochars and the important role of ZnO in RR24 adsorption onto SBB-ZnO3 and CRHB-ZnO3.
Furthermore, the surface chemistry and proportion of oxygen-carrying chemical functional groups on the surface of the biochars were detected by XPS analysis (Fig. 9). A predominant peak at the binding energy (B.E.) of 284.52 eV corresponds to the aromatic rings and aliphatic structures (such as –CHx, C–C, and CC). The presence of oxygen-carrying functional groups was identified at three binding energies of 285.92 eV (–C–OR in alcohols or phenols), 286.34 eV (CO in carbonyl, ketone, and quinone groups), and 287.49 eV (O–CO in carboxyl groups). Moreover, the binding energy peak located at 289.7 eV was designated to the π–π* shake-up satellite peak because of the abundant presence of π-electrons in aromatic rings.61–63 The results indicated that the ZnO modified biochars contained the oxygen-containing functional groups on the surface. The results were consistent with the FTIR data in Fig. 8.
Overall, the RR24 adsorption mechanisms onto the biochars mainly comprised electrostatic interaction, hydrogen bonding formation, and π–π interaction.
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