Figure 1 shows the XRD patterns of the 3D-F-KT nanostructures synthesized using areca seed powder with different concentrations (0.2, 0.4, 0.8 g). All the peaks (100), (110), (111), (200), (210), (211), (220), (300), (310), (311), (222), (320) match well with the JCPDS Card No.38-1470 having lattice constants of a = b = c = 3.9883 Å, α = β = γ = 90º, space group = Pm-3m and space group number = 221. The average crystallite size of 3D-F-KT nanostructures (0.2, 0.4, 0.8 g of areca seed powder concentration) was calculated using the following Debye-Scherer’s equation and was found to be 29.07, 26.89, and 33.12 nm respectively.
$$D=\frac{K\lambda }{\beta Cos\theta }$$
1
Where K is the crystallite shape constant (0.89), λ is the wavelength of X-ray Cu-Kα radiation (1.5406 Å), β is the Full width at half maximum (FWHM) and θ is the glancing angle. The strong and narrow width of the peaks indicates the high purity and crystallinity of 3D-F-KT nanostructures. Therefore, from the above data it can be inferred that the fuel (areca seed powder) could be responsible for the variation in particle sizes of 3D-F-KT nanostructures 17,18.
3.2 Diffuse Reflectance Spectra (UV-DRS)
The diffuse reflectance spectrum was used to observe the band gap of 3D-F-KT nanostructures, which displayed an intense band at 420 nm, indicating the absorption of the host lattice. It can be clearly seen that the addition of more than 50 wt% of the fuel significantly affects the optical absorption properties of 3D-F-KT nanostructures and exhibits an enhanced visible light absorption towards the longer wavelength. Hence, to determine the band gap (Eg), Kubelka-Munk (K-M) theory was adopted from the diffuse reflectance spectra. The tangent interception of the [F(R)∞hν]1/2 plots versus photon energy (hν) has been shown in Figs. 2a and 2b. The photon energy (hν) and Kubelka − Munk function F(R∞) were calculated using the following equations.
$$F\left({R}_{8}\right)=\frac{(1-{R}_{8})}{2{R}_{8}}$$
2
where R∞ is the reflection coefficient and λ is the absorption wavelength. The energy gap was found to be ~ 2.99 eV for the 3D-F-KT material.
3.3 Fourier Transform Infrared Spectra (FTIR)
FTIR spectra of 3D-F-KT nanostructures were recorded from 400-4000 cm-1 as shown in Fig. 3. An intense broad peak of Ta-O was observed at 609 cm-1 for the three different concentrations (i.e., 0.2, 0.4, 0.8 g) of 3D-F-KT nanostructures synthesized using areca seed powder. It was clearly observed that the carbon content present in the prepared material corresponds to the C=C vibration of the aromatic ring at 1653 cm-1 and the hydroxyl C-OH bending vibration can be attributed to the 1381 cm-1. Further, by increasing the concentration of carbon in the 0.8 g sample, another peak at 1131 cm-1 was witnessed, that correlates to the C-O stretching vibrations or C-O-C epoxy vibrations. It can also be noticed that all the samples exhibited a broad peak at 3400 cm-1 due to the vibration of OH group and adsorption of water 19.
3.4 Scanning Electron Microscopy (SEM)
The morphology of the 3D-F-KT nanostructures was studied using a scanning electron microscope (Neo-Scope JCM-6000PLUS system) and their representative images are shown in Fig. 4. As observed from the SEM images, the synthesized material KTaO3 has a well-developed flower like 3D structure with different sizes. It is the first time that flower-shaped 3D-KTaO3 nanostructures were synthesised by combustion method and are being reported.
3.5 Transmission Electron Microscope (TEM)
The TEM (JEOL- JEM 2100 system) images of the nanostructures are shown in Figs. 5a and 5b. The d-spacing value was found to be 0.38 nm as shown in Fig. 5(c). This matches well with the (100) plane obtained from the XRD analysis. Fig. 5 (d) shows the SAED pattern with 2 bright fringes and corresponds to the XRD planes (100) and (110).
3.6 Brunauer-Emmett-Teller Surface Area Studies
To investigate the surface area and pore volume of the 3D-F-KT nanostructures, Brunauer–Emmett–Teller technique was used, and the associated N2 adsorption-desorption isotherm studies were carried out at 77 K (Fig. 6). A clear type-IV isotherm curve indicates the mesoporous nature of the material with an average pore diameter of 3.10 nm. Similarly, the specific surface area and pore volume were found to be 3.74 m2g-1 and 0.009 cm3g-1 respectively. The surface area has also contributed significantly to the enhanced photocatalytic activity of the 3D-F-KT nanostructures.
3.7 Photocatalytic Degradation
The photocatalytic activity of 3D-F-KT nanostructures with different concentration (0.2, 0.4, 0.8 g) was examined using rose bengal dye in the presence of visible light irradiation (λ > 420 nm) and a schematic representation depicting the process has been shown in Scheme 1. Initially, to observe the degradation efficiency in the absence of visible light, photolysis was conducted in a dark condition. After 30 minutes of the reaction time, no degradation was observed. Later, the experiment was carried out by collecting the reaction mixture for every 30 minutes to check the rate of dye degradation. As it can be observed from Fig. 7(a), 0.4 g of the fuel concentration showed an appreciable degradation efficiency (>90%) compared to other fuel concentrations. A comparative analyse of the degradation property of KTaO3 nanostructures with different dyes and pollutants were made and their data is given in Table 1.
Table-1
Literature survey with Degradation of different pollutants by KTaO3 and its composites.
Material
|
Source of light
|
Dye
|
% of degradation
|
Time (min)
|
Ref.
|
30 wt% rGO-KTaO3
|
Visible
|
Phenol
|
43
|
60
|
19
|
0.5Au/1.5Pt-KTaO3
|
Visible
|
Phenol
|
14.75
|
90
|
25
|
2.0 Rh-KTaO3
|
Visible
|
Toluene
|
41.98
|
60
|
25
|
KTaO3+CdS+MoS2 (10:5:1)
|
LED
|
Toluene
|
60
|
60
|
26
|
KTaO3
|
LED
|
Toluene
|
64
|
60
|
26
|
KTaO3-CdS(10:1)
|
UV-Vis
|
Phenol
|
59
|
60
|
26
|
54wt%BiOI/KTaO3
|
Visible
|
Rhodamine B
|
98.6
|
30
|
27
|
N-KTaO3
|
Visible
|
Methylene blue
|
98.3
|
240
|
28
|
KTaO3
|
Visible
|
Rose bengal
|
94
|
150
|
Present work
|
3.7.1 Effect of Catalytic Load
It is well-known that the amount of photocatalyst significantly affects the degradation rate of dyes. Hence, to find out the optimum catalytic load, different amounts of the catalyst (10, 20, 30, 40 mg) were used with rose bengal dye at pH 7. The effect of different amounts of the photocatalyst (KTaO3 nanostructures) on the degradation rate has been shown in Fig. 7(b). Upon increasing the catalytic load, the degradation rate also increased up to a certain amount and thereafter, no effect was observed. This may be due to the fact that as the amount of photocatalyst increased, the number of active sites available on the surface of KTaO3 nanostructures also increases with an increase in the exposed surface area. However, after a certain weight i.e., 40 mg, there was no increase in the specific surface area and hence, the active sites. This was considered to be the saturation point, above which not much of photocatalytic degradation was observed, as adding the photocatalyst beyond this point would allow it to settle at the bottom of the tube. Further, the formation of turbidity in the reaction mass indicates the fall of degradation rate. Therefore, the optimum weight of the photocatalyst for the effective degradation of rose bengal dye was found to be 40 mg.
3.7.2 Effect of Dye Concentration
Fig. 7(c) shows the effect of different concentrations of rose bengal dye on the photocatalytic performance of 3D-F-KT nanostructures. With a fixed catalytic load of 40 mg at neutral pH, the concentration of rose bengal dye was varied in terms of 5, 10, 15, 20 ppm per 100 ml of the reaction mixture. It was concluded that the photodegradation efficiency of rose bengal dye was inversely proportional to its concentration, which means that when the dye concentration was more, its photocatalytic degradation rate decreased at a fixed amount of catalyst. This may be attributed to the fact that the dye itself acts as an obstacle for the intensity of incident light and thus, affects the path length of the incoming light. Hence, it can be concluded that at 5 ppm dye concentration, a degradation efficiency of 90% was observed.
3.7.3 Effect of pH
As shown in Fig. 7(d), pH plays an important role in varying the rate of photocatalytic degradation of dyes. The effect of pH on the degradation of rose bengal was studied by keeping the amount of catalyst and the dye concentration constant. In a solution having pH 3, the surface of the photocatalyst and the dye molecules become positively charged so that the dye molecule and the catalyst will repel each other. Thus, the catalytic reaction on the surface of the material takes place towards the smaller extent. Whereas a gradual decrease in the degradation rate was observed in alkaline solutions. This is due to the electrostatic repulsion between the negatively charged surface of the catalyst and the anionic rose bengal dye. So, the optimum pH value for the excellent degradation of rose bengal was found to be pH 5 20.
3.7.4 Mechanism of Dye Degradation
The generation of electrons in the conduction band and holes in the valence band takes place when the semiconductor nanostructures absorb light energy from an external source. The possible mechanism is show below in Eq. (1).
$${\text{K}\text{T}\text{a}\text{O}}_{3}+ \text{h} ? {\text{K}\text{T}\text{a}\text{O}}_{3} ({\text{e}}^{-}\left(\text{C}\text{B}\right)+ {\text{h}}^{+} \left(\text{V}\text{B}\right)) \left(1\right)$$
Water reacts with the generated holes at the valence band to give OH• which is a powerful oxidising agent to attack the nearest dye molecule as shown in Eq. (2).
$${\text{H}}_{2}\text{O}+{\text{h}}^{+} \left(\text{V}\text{B}\right) \to {\text{O}\text{H}}^{{\bullet }} + {\text{H}}^{+} \left(2\right)$$
Later, oxygen reacts with the generated electrons at the conduction band to give an anionic superoxide radical (O2•‾)
$${\text{O}}_{2}+{\text{e}}^{-} \left(\text{C}\text{B}\right) \to {\text{O}}_{2}^{{\bullet }-} \left(3\right)$$
The recombination of the electron and the hole was thus reduced by the formation of a superoxide ion on 3D-F-KT surface and thus, maintains the neutrality of electrons. The generated O2•‾ is protonated to produce H2O2 and therefore, the OH• radical remains at last. Finally, the conversion of the hazardous dye (RB) into CO2 and water takes place efficiently (4–7).
$${\text{O}}_{2}^{{\bullet }-}+ {\text{H}}^{+} \to {\text{H}\text{O}\text{O}}^{{\bullet }} \left(4\right)$$
$${2\text{H}\text{O}\text{O}}^{{\bullet }} \to {\text{H}}_{2}{\text{O}}_{2}+{\text{O}}_{2} \left(5\right)$$
$${\text{H}}_{2}{\text{O}}_{2} \to {2\text{O}\text{H}}^{{\bullet } } \left(6\right)$$
$$\text{D}\text{y}\text{e}+ {\text{O}\text{H}}^{{\bullet }} \to {\text{C}\text{O}}_{2}+ {\text{H}}_{2}\text{O} \left(7\right)$$
3.7.5 Kinetics of Photocatalytic Degradation
The kinetic study was carried out using Langmuir-Hinshelwood model for the rose bengal dye over 3D-F-KT nanostructures. The straight line obtained from the kinetic model indicates the dye removal over KTaO3 and follows a pseudo-first-order kinetics as shown in Fig. 8. The observed slope value (k) from the plot was found to be 2.8 × 10-2 min-1 by using the formula ln (Co/Ct) = kt, where Co represents the initial concentration of the dye at t=0 and Ct is related to the final concentration after every 30 minutes.
3.7.6 Scavenging Experiments
The process of photocatalysis under visible light irradiation was examined using scavenging experiments by trapping the active species produced at the time of reaction. Here, tertiary-butyl alcohol (TBA) and potassium dichromate (K2Cr2O7) were used as the scavengers for OH• and e- respectively, while ascorbic acid (AA) and ethylenediaminetetraacetic acid (EDTA) were adopted as the scavengers for O2•‾ and h+ respectively. Fig. 9 represents the degradation efficiency of rose bengal dye using 40 mg of 3D-F-KT without adding any scavengers. Apparently, the percentage degradation of the rose bengal dye did not exhibit much change after the addition of K2Cr2O7 and EDTA, which implies that e- and h+ played a negligible role in the degradation process. However, with the addition of TBA or AA, the degradation rate of the rose bengal dye reduced, and only 67.86% or 73.13% degraded after 120 minutes of the reaction. The obtained result shows that OH• was the primary reactive species in the photocatalytic degradation of the rose bengal dye.
3.7.7 Recycling Experiment
The reusability and photostability of 3D-F-KT nanostructures were analysed using recycling experiments under the irradiation of visible light for 5 cycles as shown in Fig. 10(a). The photoreaction mixture was collected after every cycle, followed by centrifugation and filtration. The collected residue was washed with distilled water and was later recovered. The recovered material residue was reused for the subsequent degradation experiment as earlier. The degradation efficiency of the rose bengal dye decreased from 94% to 80% for the 1st and 5th cycles respectively. However, a loss in efficiency of only 14% was observed even after the 5th cycle, which shows that KTaO3 nanostructures had an excellent photostability. Meanwhile, Fig. 10(b) represents the XRD spectrum of 3D-F-KT nanostructures before and after the degradation process. However, no differences in the peaks were found and the structure of the material appeared to be stable even after the degradation of the rose bengal dye.
3.7.8 Detection of Hydroxyl Radicals
The rate of formation of OH radicals can be found by a simple and effective photoluminescence (PL) technique by taking Coumarin as an investigator. During the degradation process, OH radicals are the most important reactants; it reacts with the coumarin molecule to produce 7-hydroxyl coumarin. In this study, 50 mg of 3D-F-KT nanostructures was dispersed in 100 ml of aqueous 0.5 mM coumarin and were air bubbled for 15 mins to understand the adsorption-desorption equilibrium in the dark condition. Furthermore, 300 W tungsten light source was used as an illuminator. 5 mL of the reaction mixture was drawn at every 30 mins to measure the photoluminescence spectrum using the Agilent Technologies Cary Eclipse-60 Spectrophotometer. From Fig. 11, it is evident that the intensity of the peaks in the PL spectra was directly proportional to the time of reaction. This provides stronger evidence to show the formation of OH radicals on the surface of the photocatalyst. Later, the OH radical production increases with time.
3.8 Photoluminescence Studies
The recombination efficiency of the photogenerated free charge carriers can be predicted by photoluminescence studies (PL). At room temperature, the emission and excitation spectrum of 3D-F-KT nanostructures were recorded and are shown in Fig. 12(a & b). The emission peak of 491 nm was observed at an excitation wavelength of 330 nm 19,21. The samples prepared by adding 0.2 and 0.4 g of the fuel showed lower PL intensities as compared to 0.8 g of the sample. This could lead to the fact that, more intensity of the emission peak indicates a higher recombination of the photogenerated electron and hole pairs, and therefore, lesser is the photocatalytic activity. It can also be seen that nanostructures synthesised using 0.2 and 0.4 g of the fuel gave almost similar photoluminescence peaks and were found have the most efficient separation of charge carriers. The colour of the emission spectra is shown in Fig. 12(c) and it is clear that the electrons jumped from the conduction band to the valence band by losing some amount of energy and hence, a higher emission wavelength at 491 nm and a lower excitation at 330 nm was observed. Meanwhile, it can be concluded that the emission of blue colour at 491 nm is as per the Commission International de I’Eclairage (CIE) 1931 chromaticity diagram 21.
3.9 Photocatalytic H2 Generation
The photocatalytic H2 generation of the synthesised 3D-F-KT nanostructures was analysed using a 400 W Xenon lamp (UV-Vis light source). If the energy of the conduction band was negative compared to the reduction potential value H+/H2 (0 V Vs NHE), and the energy of the valence band has a higher positive value than the oxidation potential O2/H2O (1.23 V Vs NHE), then the photocatalyst should satisfy the condition for water splitting. On irradiating the energy higher than the band gap energy of KTaO3 photocatalyst, the excitation of electrons from valence to conduction band occurs by leaving holes in the lower energy level. To avoid the electron-hole recombination, the sacrificial agent consumes the produced holes from the valence band and thereby, results in an increased H2 production. The factors for the photocatalyst to show good hydrogen generation are crystallinity, band gap, thickness of pore wall, particle size, hydrophilic group on the catalyst surface and the surface area. As depicted in Fig. 14, the hydrogen generation of 3D-F-KT (0.4 g concentration of areca seed powder) photocatalyst was found to be 374 µmolg-1 for 5 hours. The photocatalytic activity of this material was based on factors like crystallinity, surface area, particle size, thickness of pore wall, number of hydrophilic groups on the catalyst surface and also the existence of active sites 22. The schematic representation of the photocatalytic H2 generation is given in Fig. 13. Moreover, 3D-F-KT nanostructures with 0.4 g fuel shows a higher H2 generation value than the other two samples (0.2 and 0.8 g). Here, the higher H2 generation was due to the more hydroxyl groups on the surface of the material 23,24.