3.1. XRD Analysis
X-ray diffraction (XRD) analysis was used to examine the crystal structure and studies of purity of the synthesized samples. The X-ray diffraction (XRD) pattern obtained showed miller indices and peak positions that closely corresponded to the characteristic XRD pattern of spinel ferrite. This suggests that a pure phase was formed, and there were no apparent impurity peaks present. The validation of the spinal cubic configuration corresponds with the seen crystal structure for spinel ferrite, as indicated by the corresponding hkl planes (220), (311), (400), (422), (333), and (440) that are related to the Fd3m space group [9]. The X-ray diffraction (XRD) data provided interplanar spacing (d) values that were compatible with the JCPDS card number 96-153-2574. The reference peak for calculating the lattice parameter (a) has been chosen as the primary (311) peak of the cubic spinel structure. On comparative analysis of the undoped (x = 0.00) and Cu-doped (x = 0.30) ferrite samples, noticeable differences in their respective properties were detected. The incorporation of Cu ions in the sample doped with Cu resulted in a slight increase in the lattice parameter (a), indicating lattice distortion. Furthermore, the sample doped with Copper showed higher crystallite size calculated using Scherrer's formula [10], with an increase of 26.40 nm in comparison to 19.43 nm in the non-doped sample. This observation implies that the addition of Cu dopants had an impact on the formation and receiving of the crystallographic domains. The X-ray density (dx) of both undoped and Cu-doped samples exhibited minimal variation, suggesting that the mass per unit volume did not undergo substantial change on Cu doping. The Cu-doped sample exhibited a slightly higher bulk density (db), which could be attributed to the incorporation of Cu ions which resulted in an increase in overall mass.
3.2. FTIR (Fourier Transform Infrared) Analysis
FTIR was conducted to further investigate the formation of functional groups in the samples. The obtained spectra, as depicted in Fig. 3, provide valuable insights into the chemical composition and bonding characteristics of the materials. In the spectra, distinctive absorption bands were observed, confirming the presence of specific functional groups. Notably, the stretching vibrations of metal ions at the tetrahedral site A and octahedral site B were identified within the frequency ranges of 541–555 cm-1 and 403–412 cm-1, respectively [11]. The variations in the band positions between the two samples were anticipated due to the differences in the distances between the octahedral and tetrahedral ions. It is important to note that the size of the resulting nanoparticles and alterations in the interaction between oxygen and cations have a significant influence on these absorption bands. Changes in the lattice parameter, which can be influenced by factors such as dopants or variations in the synthesis process, contribute to the observed apparent shift in frequencies. These modifications in the lattice parameter can result in changes in bond lengths and strengths, thereby affecting the absorption characteristics of the functional groups. The observed absorption bands and their variations in position can be attributed to the presence of metal ions at specific sites, the size of the nanoparticles, and alterations in the oxygen-cation interaction [12].
3.3. FESEM Analysis
FESEM was conducted to investigate the morphology of the samples. The obtained morphological images, as shown in Fig. 5, provide visual information about the surface structure and particle distribution. The FESEM images reveal the presence of spherical nanoparticles with a uniform distribution across the surface. The grain sizes of the nanoparticles were measured and found to range between 22 and 33 nm, as indicated in Table 1. This indicates a relatively narrow size distribution and suggests a controlled synthesis process. The Energy-Dispersive X-ray (EDX) pattern was analyzed to determine the elemental composition of the samples. The EDX analysis detected the presence of Ni, Fe, Cu, and O elements, which are the expected constituents of the ferrite material. Importantly, no additional peaks corresponding to impurity elements were observed in the EDX pattern, indicating that the samples were pristine and free from contamination [13].
The FESEM analysis provides valuable insights into the morphology and elemental composition of the investigated samples. The spherical nanoparticle morphology with well-dispersed grain sizes indicates a homogeneous structure. The absence of impurity peaks in the EDX pattern further confirms the purity of the samples. These findings enhance our understanding of the structural and elemental characteristics of the investigated ferrite nanoparticles.
3.4. UV-VIS Analysis
UV-Vis analysis was employed to explore the optical properties of the synthesized Ni-Zn nanoparticles, including both undoped and Cu-doped Ni-Zn ferrite nanoparticles. The analysis aimed to determine the bandgap energy (Eg) using the maximum transmittance wavelength, according to the equation Eg = 1240/λmax (in eV) [14]. The obtained UV-Vis spectra provided insights into the absorption behaviour of the samples across the ultraviolet and visible regions of the electromagnetic spectrum. By analyzing the wavelength at which maximum transmittance occurred, the corresponding bandgap energy was calculated [15].
The results revealed that at ambient temperature, both undoped and Cu-doped Ni-Zn ferrite samples exhibited a reduction in bandgap energy compared to the bulk material. Specifically, the bandgap energy decreased from 3.64 eV to 2.80 eV for the undoped and Cu-doped Ni-Zn ferrites, respectively. This decrease in bandgap energy suggests a shift towards lower energy levels, indicating a modification in the electronic structure of the materials. The incorporation of Cu dopants may have contributed to this shift, as dopants can introduce additional energy levels within the band structure, influencing the absorption properties.
The observed changes in bandgap energy have significant implications for the optical behaviour of the materials. A lower bandgap energy corresponds to a broader absorption range, allowing the samples to absorb a wider range of photons, including those in the visible region. This enhanced light absorption capability can have implications for various applications, such as solar energy conversion and photocatalysis. The UV-Vis analysis revealed a reduction in bandgap energy for both undoped and Cu-doped Ni-Zn ferrite nanoparticles compared to the bulk material. These findings provide valuable insights into the optical characteristics and electronic structure of the synthesized nanoparticles, suggesting potential applications in optoelectronic devices and light-harvesting technologies [16].
3.5. Photocatalytic Activity
The photocatalytic activity of Ni-Zn and Ni-Cu-Zn ferrite powders was studied to assess their potential for wastewater treatment. Specifically, the degradation of organic pollutants, such as heteropolyaromatic MB dye, was investigated under sunlight irradiation. The analysis involved monitoring the degradation process at regular 20-minute intervals.
Figure 5. illustrates the photocatalytic degradation of MB dye in the presence of the spinel ferrite catalysts. The degradation process is indicated by the shift in the absorbance peak at 464 nm, corresponding to the characteristic absorption of the dye. As the photocatalytic reaction progresses, the absorbance at this wavelength decreases, indicating the degradation and breakdown of the organic pollutant. To quantitatively assess the degradation rate, the ratio between the residual concentration of the dye and the initial concentration (C/C0) is calculated [17]. This ratio provides a measure of how quickly the organic dye pollutant degrades over time. By plotting this ratio as a function of time, the efficiency and effectiveness of the photocatalytic process can be evaluated.
The photocatalytic activity of the Ni-Zn and Ni-Cu-Zn ferrite powders relies on their ability to harness solar energy and generate reactive species, such as hydroxyl radicals (•OH), which are highly oxidative and capable of breaking down organic pollutants. Under sunlight irradiation, the ferrite nanoparticles absorb photons, exciting their electrons to higher energy levels. These energized electrons can then transfer to the oxygen molecules adsorbed on the catalyst surface, generating superoxide radicals (•O2-) and, subsequently, hydroxyl radicals (•OH). The generated hydroxyl radicals play a crucial role in the degradation of organic pollutants. They react with the pollutant molecules, leading to the cleavage of chemical bonds and the conversion of complex organic compounds into simpler and less harmful by-products [18]. This photocatalytic process offers an environmentally friendly approach to wastewater treatment, as it utilizes solar energy and does not rely on the use of additional chemicals.
By studying the photocatalytic activity of the Ni-Zn and Ni-Cu-Zn ferrite powders, their effectiveness in degrading organic pollutants under sunlight irradiation can be evaluated. Understanding the working mechanism of the photocatalytic process provides insights into the degradation kinetics and the potential application of these ferrite catalysts in wastewater treatment and environmental remediation.