3.1. XRD analysis
The XRD patterns of synthesized samples are shown in Fig. 1. It was clearly seen that all the diffraction peaks can be ascribed to the rutile tetragonal structure of pure SnO2 phase (JCPDS No. 88–0287) [28, 29]. Further no traces of other phases were observed throughout the whole range of cobalt and CCAC contents considered. However, a peak at 2 theta approximately 26.51° (110) in the XRD pattern of CS2/CCAC, indicates all the intensity reduced peaks show that the decrease upon loading CCAC. XRD pattern (Fig. 1b) for 2 theta range is 25–35°, it can be seen that (110) and (101) in the peaks at approximately 26.51° and 33.71° has slightly shifted all the doping and loading than the pure SnO2. Here, the ionic radius of Co2+ (0.58 Å) is smaller than that of Sn4+ (0.71 Å) and with the smaller amount of Co concentration used for doping [30]. Moreover, CS2/CCAC shows all the diffraction peaks indicate reduced compared to the other samples. The crystalline sizes of the pure SnO2, CS1, CS2, CS3, and CS2/CCAC were calculated by using Scherrer’s equation [31]. The average crystalline size of pure SnO2, CS1, CS2, CS3, and CS2/CCAC is found to be 26.40, 24.80, 22.03, 23.41 and 18.76 nm respectively. This result suggests that the size growth is reduced due to the doping of cobalt and loading of CCAC.
3.2. XPS analysis
Surface charge states of elements show in the CS2/CCAC were analyzed using the XPS technique (Fig. 2a). On the other hand, high resolution XPS spectrums for Sn 3d, Co 2p, C 1 s and O 1 s of CS2/CCAC were observed. The peak around BE (Fig. 2b) of 486.78 and 496.24 eV represented Sn 3d5/2 and Sn 3d3/2, respectively, which confirms that the Sn ions possess intrinsic/native oxidation state of + 4 [32]. The peak around BE (Fig. 2c) of 780.15 and 786.24 eV were respectively corresponding to Co 2p3/2 and 2p1/2, which may be attributed to Co2+ ions [33]. The C 1 s BE (Fig. 2d) peak of CS2/CCAC was deconvoluted into three peaks at 284.18, 286.45 and 288.89 eV represented C-C, C-OH and C-O/C-O-C bonds respectively [16]. The O 1 s (Fig. 2e) BE broad peaks of CS2/CCAC revealed a single symmetrical peak at 531.28 eV which corresponds to the lattice oxygen of SnO2.
3.3. Photoluminance analysis
The PL emission spectra of pure SnO2, CS1, CS2, CS3, and CS2/CCAC were displayed in Fig. 3. It can be observed that, pure SnO2 exhibit the recombination emission peak at 399 nm. Moreover, the PL spectra intensity decreased for CS2/CCAC with respect to pure SnO2. The PL spectra intensity decreased for CS2/CCAC with respect to pure SnO2. It observed that the emission spectra exhibited a gradually decrease the UV and visible region upon cobalt doping and CCAC loading. Furthermore, cobalt doping SnO2/CCAC process, the excited e−/h+ is trapped by oxygen vacancies with the addition of Co2+ ions. Moreover, the excited e− can migrate from the VB to the new energy levels introduced nearer to the CB by cobalt doping, which may be due to the reduction of PL intensity. Finally, CS2/CCAC improves photocatalytic activity due to the lower e−/h+ recombination rate [34].
3.4. FE-SEM with EDAX analyses
The FE-SEM micrographs of the synthesized pure SnO2, CS2 and CS2/CCAC are shown in Fig. 4a-d along with their EDAX analysis. Figure 4a shows the spherical morphology with a size range of approximately 20–40 nm. Figure 4b shows the spherically shaped and less agglomerate with a size range of approximately 15–35 nm. Figure 4c shows the CS2 loaded on CCAC, further spherically shaped and agglomerate with a size range of approximately 10–25 nm. The chemical compositions of CS2/CCAC (Fig. 4d) are analyzed by using EDAX. The presence of elements C, O, Sn, and Co was observed in CS2/CCAC indicated that CS2 was successfully loaded onto the CCAC.
3.5. Electrochemical impedance spectroscopy
The EIS measurements on synthesized samples are shown as Nyquist plots (Fig. 5). Meanwhile, CS2/CCAC show smaller radius in the EIS Nyquist plots than other samples, and especially, the resistance value is 3.328, 2.836 and 2.156 kΩ for the pure SnO2, CS2 and CS2/CCAC. In addition, PL intensity of CS2/CCAC at 399 nm was much lower than that of pure SnO2, also suggesting a faster charge separation (Fig. 3). Together with the EIS measurement, it was inferred that strong interfacial interaction between CCAC and CS2 in the accelerated the electron-hole separation and then benefit enhancement of photocatalytic activities of the as-prepared CS2 and pure SnO2.
3.6. Photodegradation of MB dye
The UV–Vis absorption spectra of the MB dye under sunlight irradiation in the presence of pure SnO2, CS2 and CS2/CCAC are shown in Fig. 6a-c. The intensity of the absorbance decreases with the increase of irradiation time. It can be observed that the absorption peaks (664 nm) is progressively reduced as the irradiation time (0-120 min) increase, indicative of the removal of MB dye solution. As observed in figure, CS2/CCAC removal of MB more rapidly than other sample.
Figure 7 shows the effects of contact time and % degradation of MB in the efficiency of the pure SnO2, CS2 and CS2/CCAC. The removal efficiencies of MB at 120 min were 71.92, 83.07 and 95.38 % using pure SnO2, CS2 and CS2/CCAC respectively. Table 1 show that the CS2/CCAC has a higher degradation percentage compared to the pure SnO2 and CS2.
The degradation rates of the pure SnO2, CS2 and CS2/CCAC were calculated by plotting Ct/C0 versus irradiation time is shown in Fig. 8. As compared to pure and CS2 sample, the MB was degraded about 7.69% and 23.07% under the without sunlight, and MB was promote reduced under the photocatalytic process. Similarly, then Co2+ doped and CCAC loaded, their MB removal efficiency reached 43.11% and 95.38% under the dark adsorption process and photocatalytic process. Finally, the adsorption of CS2/CCAC was improved from CS2, due to the CCAC loading. Herein, the highest degradation rate in the CS2/CCAC could be the creation of huge trapping sites and generation and consequent separation of e−/h+ pairs. The result is explained in PL and EIS study.
The photocatalytic performance of the pure SnO2, CS2 and CS2/CCAC was calculated by using pseudo-first-order kinetics [35, 36]. Figure 9 shows that the plot of ln (Co/Ct) with respect to irradiation time (min) such that by linear fit of the graph, the slope of the fitted line gives the value of the rate constant (k). They are, k value and the R2 was calculated are given in Table 1. As shown in the table, cobalt doping and CCAC loading have a higher degradation rate (0.023 min− 1) compared to the pure and doping sample due to the lower crystalline size, lower resistance value, and lower recombination of charge carriers.
The photocatalytic mechanisms of CS2/CCAC are shown in Fig. 10. Firstly, the increase in the photocatalytic performance of the CS2/CCAC compared to SnO2 is due to the effect of the Co2+ doping and surface adsorption of the CCAC, but it also prevented the e−/h+ recombination. Secondly, CS2/CCAC under sunlight irradiation, the photogenerated e− can be transferred either to the CB of SnO2 or to Co2+ energy levels localized within the band gap of pure SnO2. Co2+ can trap e−/h+ pairs as a result they can increase the e−/h+ lifetime [22]. Another one, e− in CB can react with surface adsorbed O2 to produce •O2− (Eqs. 2). Moreover, h + in VB can react with the surface adsorbed H2O/ OH− to produce •OH as well as attack and oxidize the MB (Eqs. 3,4). This mechanism can be described by the following equations.
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)
Fig. 11 showed the reusability of CS2/CCAC (0.20 g/L) for the photodegradation of MB. The degradation rate of MB keep stable in the first and second, then slightly decreased after 3 cycles. At fourth cycles, the degradation rate of MB decreased at 93.57 %, respectively, due to the loss of photocatalytic activity of the CS2/CCAC. They are, recovered catalyst after each cycle was washed with water and ethanol, and then dried at 100 °C for 1 h and reused for next cycle. Finally, the finding supported that we can re-used CS2/CCAC for several times to reduce the treatment cost of MB.