SN Applied Sciences

, 1:1478 | Cite as

Enhanced photocatalytic activity of ZnO–NiO nanocomposites synthesized through a facile sonochemical route

  • U. S. Udayachandran Thampy
  • A. Mahesh
  • K. S. Sibi
  • I. N. Jawahar
  • V. BijuEmail author
Research Article
Part of the following topical collections:
  1. 4. Materials (general)


Formation of heterostructures with p-type oxides such as NiO and CuO is one of the effective methods for improving the photocatalytic performance of ZnO. Such systems are often synthesized through template-based growth techniques that involve many steps. We have prepared ZnO–NiO composites through a facile, template-free, low-temperature sonochemical route. High-resolution transmission electron microscopy analysis indicates the formation of ZnO–NiO heterostructures. Photocatalytic activity of ZnO–NiO nanocomposites in the decomposition of methylene blue dye under solar irradiation is found to be much larger than that of both pure ZnO (1.26 × 10−2 min−1) and NiO (0.31 × 10−2 min−1) establishing synergistic effects. The rate constant increases with increase in the percentage of NiO in the composite and is 6.00 × 10−2 min−1 for sample with the highest percentage of NiO. Rate constants for the second and third runs are estimated to be 4.4 × 10−2 and 4.2 × 10−2 min−1 which are promising. The main mechanism of enhancement of photocatalytic activity of the composites is identified as the more effective separation of the photogenerated free charge carries due to the internal electric field at the ZnO–NiO interface. Sharp decrease in the relative intensity of the band–band emission of ZnO at ~ 380 nm in the case of composite samples and analysis of the relative position of the conduction band and valence band edges of ZnO and NiO support the proposed mechanism.


Photocatalyst Zinc oxide Nanocomposites Heterostructures Methylene blue 

1 Introduction

Organic species present in the effluent from textile, pharmaceutical, paper and food industries are among the major pollutants that contaminate both surface and ground water. Photocatalytic degradation under solar irradiation is one of the efficient and cost-effective methods for treating water contaminated with organic pollutants. This technique is complementary to the conventional approaches of waste water treatment such as filtration and sedimentation [1]. Wide band-gap semiconductors such as TiO2, ZnO, SnO2, WO3, Fe2O3, CdS and NiO are some of the most actively investigated systems as photocatalysts for water purification [2, 3, 4, 5, 6, 7, 8, 9, 10, 11].

As a semiconducting metal oxide photocatalyst, nanostructured zinc oxide (ZnO) has attracted much attention as its performance is comparable to the commercially used TiO2-based systems. However, ZnO-based photocatalysts have some drawbacks that include the relatively quick photogenerated charge carrier recombination and photocorrosion in aqueous media [12, 13]. A number of techniques have been employed for improving the performance of ZnO-based photocatalysts [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]. Doping with alkali/transition metals [14, 15] or non-metals (C, N, etc.) [16, 17] is one among them. ZnO-based heterostructures and composites with graphene [18], reduced graphene oxide [19], noble metals [20] and other metal oxides [21, 22, 23, 24, 25, 26, 27, 28] are reported to show substantially improved photocatalytic activity. One of the highly effective methods for improving photocatalytic activity of ZnO is coupling with p-type oxides. Here, the formation of heterojunctions between the n-type ZnO and a suitable p-type semiconducting oxide can improve both photogenerated electron–hole pair separation efficiency and the light utilization capability.

Nanocomposites of semiconducting oxides such as ZnO, TiO2 and CeO2 are known to show very interesting chemical and physical properties and find applications in fields such as photocatalytic degradation of pollutants and harmful chemicals, electrochemical catalysts and nonenzymatic biosensors [29, 30, 31, 32, 33, 34]. For instance, SnO2–TiO2 nanocomposite as an electrocatalyst for the oxidation of vitamin B6 is reported have lower over potential and larger signal response in comparison with pristine counterparts [29]. Also, mesoporous NiO–TiO2 nanocomposite shows high sensitivity and selectivity as a redox active material in nonenzymatic glucose sensor [30]. In all these cases, synergistic effects due to surface related charge transfer mechanisms play a key role in improving the performance. Nanocomposites of ZnO, viz. ZnO–CeO2, ZnO/γ-Mn2O3 and V2O5–ZnO, show much improved photocatalytic activity in the degradation reaction of organic pollutants such as methylene blue, methyl orange, phenol, and effluents from textile industry, where also charge transfer plays a key role [31, 32, 33]. It was also observed that the percentage of each constituent is very crucial in determining the performance of the final product [29, 30, 31, 32, 33, 34].

Nickel oxide (NiO) is a p-type semiconducting oxide (band gap ~ 3.5 eV) with high hole mobility and low lattice mismatch with ZnO [23]. Hence, NiO is a suitable candidate for coupling with ZnO for the formation of p–n heterostructures. Many reports on the enhanced photocatalytic action of ZnO–NiO heterostructures synthesized by different methods have appeared in the literature in the recent past [21, 23, 25, 26, 27]. Such systems are often synthesized through template-based growth techniques that involve many steps. For instance, Luo et al. [23] reported a novel electrochemical route involving two steps for synthesizing ZnO–NiO heterostructures with improved photocatalytic activity. Here, the first step involved the electrodeposition of nanocrystalline Zn film on a Ni foam cathode. In the second step, Zn-coated Ni foam was annealed in air at high temperature (550 °C) to produce ZnO–NiO heterostructures [23]. Zhang et al. [21] had reported the synthesis of ZnO–NiO heterostructures through electrospinning process with improved photocatalytic activity. This method involves the use of dedicated instrumentation, application of very high voltage (10 kV) and very careful optimization of experimental parameters to achieve the desired results. Xiao et al. [25] had reported a novel method for the synthesis of ZnO–NiO nanoheterojunctions through a chemical technique involving three steps. They had employed hydrothermally synthesized carbon spheres as supports for the growth of these heterostructures. These carbon spheres were thermally evaporated by calcination at high temperature (400 °C) in the final step [25]. There are also some reports on mixed oxides and nanocomposites of ZnO with p-type oxides such as NiO and CuO through simple template-free precipitation routes [27, 28, 35]. Noticeably, such reports do not mention the formation of p–n heterojunctions [27, 28, 35]. For instance, Sharma et al. [27] had prepared nanostructured ZnO–NiO mixed oxide powder with improved photocatalytic activity through a homogeneous precipitation method followed by high-temperature annealing in the range 300–700 °C. Facile chemical routes reported in the literature for the preparation of ZnO–NiO nanocomposites include one-pot solution processing followed by high-temperature annealing (300–700 °C) [28] and solvothermal process involving long process duration (12 h) [35].

It can be concluded from the literature survey that synthesis of ZnO–NiO heterostructures is most often done using techniques that involve multistep processes with numerous control parameters such as electrodeposition [23] or electrospinning [21]. Most of the techniques involve high processing temperatures [21, 23, 24, 25] with the lowest calcination temperature reported being 350 °C by Sharma et al. [27]. In the present work, nanostructured ZnO, NiO and ZnO–NiO composites with varying NiO concentrations are synthesized via a facile sonochemical method and the photocatalytic performance in the decomposition of methylene blue dye is studied under solar irradiation. Methylene blue (C16H18ClN3S) is a model cationic dye most commonly employed for studying the efficiency of photocatalysts. Methylene blue was previously used as a medicine for diseases such as urinary tract infection, but the medicinal use was discontinued due to harmful effects on nervous system, cardiovascular system, etc. We observed that ZnO–NiO nanocomposites are much better photocatalysts than both the individual oxide counterparts in the decomposition of methylene blue and the activity increases with increase in the concentration of NiO. In the method reported herein, no template or support is used. The procedure is simple and does not involve many control parameters unlike in the case of electrodeposition or electrospinning processes. Further, low calcination temperature (250 °C) and short processing duration, viz. 3 h (mixing, sonication and calcination) compared to previously reported routes, are interesting from a practical view point [21, 23, 24, 25].

2 Experimental

Nanostructured ZnO, NiO and ZnO–NiO composites with varying concentrations of NiO were synthesized through a facile sonochemical route in aqueous medium. For synthesizing nanostructured ZnO, zinc acetate dihydrate (Zn (CH3COO)2·2H2O, Sigma-Aldrich Germany make, 97.7% purity) and sodium hydroxide (NaOH, Merck India make, 97% purity) were used as the starting materials. In a typical process, 300 ml of 0.1 M aqueous solutions of Zn (CH3COO)2·2H2O (pH 6.6) and NaOH (pH 12.0) were thoroughly mixed. The pH of the solution after mixing was 7.5. The mixture was homogenized for 1 h using a magnetic stirrer. Ultrasonic waves were passed through this mixture for 1 h using an ultrasound probe sonicator (120 W, Vibronics India Pvt. Ltd. make). The white precipitate formed was thoroughly washed to remove any un-reacted starting materials and was collected by centrifugation. It was dried at 60 ̊C in a hot air oven. The dried sample was heat treated at 250 °C for 1 h to obtain pure zinc oxide (ZnO). This sample was coded as sample A.

For synthesizing nanostructured NiO, a similar procedure was followed by replacing Zn (CH3COO)2·2H2O with nickel acetate (Ni(OCOCH3)2·4H2O, Sigma-Aldrich UK make, 99.9% purity). This sample was coded as sample B.

ZnO–NiO nanocomposites with varying percentages of NiO were synthesized by using Zn(CH3COO)2·2H2O and Ni(OCOCH3)2·4H2O solutions with different mole ratios, viz. 100:10, 100:15 and 100:20 as cation source and following the procedure already mentioned. Samples prepared with Zn(CH3COO)2·2H2O and Ni(OCOCH3)2·4H2O ratios, 100:10, 100:15 and 100:20, were coded as samples C, D and E, respectively.

X-ray diffraction (XRD) pattern of the samples was recorded using a Bruker D8 Advance X-ray diffractometer with Cu Kα (1.54056 Å) source in the range 2θ = 10–80° with a step size of 0.02°. The morphology and microstructure of the samples were analysed using a ZEISS EVO-18 scanning electron microscope (SEM). Energy-dispersive spectra (EDS) of samples were recorded using an Oxford X-MaxN Silicon Drift Detector attached to the SEM instrument. Energy-dispersive X-ray dot mapping of Zn, Ni and O for one representative composite sample (sample D) was also carried out. A Tecnai G2 F30 S-TWIN 300 kV high-resolution transmission electron microscope (HRTEM) was used for the TEM analysis of sample E.

UV–visible diffuse reflectance spectra of the samples were recorded at room temperature using a Jasco V-750 Spectrophotometer. Room temperature photoluminescence (PL) emission spectra were recorded in a Horiba-FluoroMax 4 florescence spectrophotometer with 150-W xenon lamp as the excitation source. The excitation was done at 320 nm.

Photocatalytic performance of the samples under solar irradiation was studied using methylene blue (C16H18CIN3S, Merck India make) as a model organic pollutant. In a typical experiment, 0.05 g of the catalyst was suspended in 100 ml of methylene blue solution (0.03 mM). The solution was thoroughly mixed with the help of a magnetic stirrer in dark. Prior to irradiation, the dye–catalyst system was kept idle for 30 min in dark to achieve adsorption–desorption equilibrium. During irradiation, for analysing the progress of decomposition of the dye, 2.5 ml of the solution was withdrawn at regular intervals of 20 min and the absorption spectra were collected using a Shimadzu 2450 UV–visible absorption spectrophotometer. The absorption spectrum of the as prepared dye was used as control for estimating the degradation percentage. The progress of the dye degradation reaction was studied by analysing the intensity of 664 nm absorption peak of methylene blue. The degradation efficiency at time t was calculated using the relation, % Degradation = \(\left[ {1 - \frac{{C_{t} }}{{C_{0} }}} \right] \times 100\), where C0 and Ct are the absorbance of the methylene blue solution before and after exposing to sun light.

3 Results and discussion

3.1 X-ray diffraction analysis

XRD patterns in Fig. 1 show the crystalline nature of the samples. For sample A, all the peaks could be perfectly indexed using standard values corresponding to the hexagonal wurtzite phase of ZnO (ICDD pattern no: 01-089-0510). Diffraction peaks corresponding to sample B are indexed to cubic NiO (ICDD pattern no: 00-047-1049). For the composite samples C, D and E, two sets of diffraction peaks are present which are attributed to hexagonal ZnO (ICDD pattern no: 01-089-0510) and cubic NiO (ICDD pattern no: 00-047-1049). For the composite samples with increase in the mole percentage of NiO, the diffraction peaks of NiO become more intense.
Fig. 1

XRD patterns of the samples with results of Rietveld refinement. * Sign shows peaks corresponding to NiO

Rietveld refinement of the XRD patterns was carried out using DIFFRACT SUTE Plus-TOPAS software. The measured, calculated and difference patterns are included in Fig. 1. Background of each pattern was modelled by a Chebychev polynomial of order five. The refinement parameters were the scale factor, zero displacement, lattice parameters and strain. All parameters were refined simultaneously. The lattice parameters obtained together with Rwp values and goodness of fits are listed in Table 1.
Table 1

Result of XRD analysis of the samples

Sample code

Reliability parameters

Structural parameters estimated





a (Å)

c (Å)

Crystallite size (nm)

a (Å)

Crystallite size (nm)






20 ± 3





9 ± 1






19 ± 1








21 ± 1








23 ± 3



Figure 1 shows good agreement between the measured and the refined XRD patterns. Average crystallite size of samples (both ZnO and NiO in the case of composites) estimated from the full width at half maximum of the diffraction peaks obtained from the refinement procedure is also included in Table 1. For sample A (pure ZnO), the crystallite size is 20 ± 3 nm. Values of the crystallite size and error mentioned are the average of the crystallite sizes estimated from the five most intense peaks and the corresponding standard deviation, respectively. For sample B (pure NiO), the average crystallite size is 9 ± 1 nm. In the composite samples C and D, the average crystallite size of ZnO is almost same as that in pure sample (sample A), while for sample E the crystallite size is slightly larger, viz. 23 ± 3 nm. The crystallite size of cubic NiO in ZnO–NiO composites is calculated from the most intense peak. It can be seen that the average crystallite size of NiO in the composites increases from about 9 nm for sample C to 18 nm for sample E. The larger values of crystallite size for ZnO and NiO in sample E are probably due to the larger concentration of respective cation sources, viz. Ni(OCOCH3)2·4H2O and Zn(CH3COO)2·2H2O in the reaction mixture.

The lattice parameters obtained from the refinement procedure is also included in Table 1. Lattice parameters for pure ZnO sample (sample A) are a = 3.2487 Å and c = 5.2037 Å, which is very close to the standard values, viz. a = 3.2488 Å and 5.2054 Å. Lattice constants for ZnO in the composites first increase, then decrease and again increase with increase in the percentage of NiO. This irregular variation is due to the fact that the lattice parameters are affected by a number of factors such as the presence and concentration of defects, lattice strain and Coulomb interactions at the surface. For pure NiO sample, the lattice parameter is 4.1892 Å, which is slightly larger than the standard value, viz. 4.177 Å. In the composites also, the NiO crystallites show lattice expansion in comparison with bulk NiO and with increase in the average crystallite size, lattice expansion decreases. This is in agreement with previous reports on the lattice expansion in nanocrystalline NiO where the lattice expansion decreases with increase in the crystallite size [9, 36, 37, 38]. Lattice expansion in NiO has been attributed to the formation of point defects, grain-surface-relaxation effect, uncompensated Coulomb interactions, etc. [9, 36].

3.2 SEM, EDS and HRTEM analysis

SEM micrographs of the samples are shown in Fig. 2. All samples show agglomeration and surface morphology with noticeable roughness and voids which could be due to the expulsion of gases from the precipitate during calcination. The grains of the samples do not have any specific morphology such as rods, wires, spheres and sheets and resemble a fluffy mass with rough surface. EDS analysis reveals the presence of only Zn and O in sample A and only Ni and O in sample B. In the case of samples C, D and E, EDS analysis confirms the presence of Zn, Ni and O. EDS spectra of sample E are also included in Fig. 2. Elemental dot mapping of Zn, Ni and O in sample E is shown in Fig. 3. The elemental distribution of Zn, Ni and O shows that NiO is well mixed and uniformly distributed in the ZnO matrix.
Fig. 2

SEM micrographs of samples ae together with EDS spectra for one representative sample E

Fig. 3

Elemental dot mapping for sample D showing uniform distribution of ZnO and NiO

TEM image of sample E shown in Fig. 4a is in confirmation with the nanocrystalline nature. The average particle size is ~ 20 nm (Fig. 4b). Figure 4c is a high-resolution image of a selected area. It can be seen that the interplanar distance of 0.25 nm is close to d-spacing of (101) planes of hexagonal ZnO, while interplanar distance of 0.21 nm is in agreement with the d-spacing of (200) planes of cubic NiO. The continuity of lattice fringes at clearly discernible interface of ZnO and NiO lattices is well evident from Fig. 4c. The distinguished interface and continuity of lattice fringes between NiO and ZnO nanoparticles indicate the formation of ZnO–NiO heterostructures [21, 25]. This leads to the inference that ZnO–NiO heterojunctions are formed in the composite samples synthesized though the present sonochemical route. Such heterojunctions are expected to increase the photogenerated electron–hole separation efficiency resulting in a fall in the intensity of photoluminescence emission and enhancement of photocatalytic activity [21, 22, 23, 24, 25, 26].
Fig. 4

Result of TEM analysis of sample E a TEM image, b particle size distribution, c HRTEM image confirming the formation of heterojunction, d SAED pattern

Figure 4d shows the SAED pattern of the sample which is in agreement with the crystalline nature and the hkl planes corresponding to both ZnO and NiO are indexed.

3.3 Analysis of UV–visible diffuse reflectance and photoluminescence emission spectra

Diffuse reflectance spectra of the samples are shown in Fig. 5a. For sample A, there is no reflection below 360 nm, above which the reflection suddenly increases. For sample B (NiO), the main reflectance peak starts above 314 nm, and in the higher wavelength (lower energy) region, some distinct peaks are present. In the spectra of composite samples, the most prominent reflection starts at about 368 nm which is very close to the corresponding value for pure ZnO. Figure 5b is the Kubelka–Munk plots of the samples. By extrapolating the straight line region of the Kubelka–Munk plot, the band gap for sample A is obtained as 3.1 eV. This value is in agreement with those reported for nanostructured ZnO samples reported in the literature [39, 40, 41, 42]. For sample B (pure NiO), the band gap is estimated to be 3.3 eV. Further, in the case of NiO, a number of peaks are clearly visible in the lower energy range, viz. 1.6–3 eV (Fig. 5c). These correspond to the d–d transitions of NiO [8]. These peaks are present in the spectra of composite samples also (Fig. 5c). This means that due to the presence of NiO, the composite samples could absorb light energy even at lower frequencies, and hence, the light utilization ability for photocatalytic reaction will be better. The fundamental absorption edge for the composite samples C, D and E is 2.8, 3.0 and 3.1 eV, respectively.
Fig. 5

a Diffuse reflectance spectra, b determination of band gap of samples, c absorption in the composite samples in the lower energy region, d photoluminescence spectra of samples normalized with respect to the band–band emission of sample A

Figure 5 d shows the photoluminescence spectra of the samples. The intensity of the photoluminescence emission is rather low for all samples. The spectra are normalized with respect to the band–band emission of sample A (pure ZnO). The fundamental band edge emission in ZnO is usually observed in the UV region at ~ 380 nm [40]. For the composite samples, with increase in the concentration of NiO, the ZnO band edge emission is very weak or almost completely absent. This indicates that with increase in the percentage of NiO, the probability of recombination of photoexcited free electrons and holes in ZnO decreases. Thus, the free charge carrier separation efficiency of composite samples is larger than that for pure ZnO sample which is advantageous for photocatalytic action [25, 43]. This observation is in good agreement with the formation of ZnO–NiO heterojunctions observed in the HRTEM analysis of sample E [21, 23].

3.4 Photocatalytic performance

Figure 6a–e shows, respectively, the UV–visible absorption spectra of methylene blue solution recorded at 20-min intervals during the decomposition under solar irradiation in the presence of photocatalysts A to E. From Fig. 6, the photocatalytic degradation is minimum for sample B (pure NiO sample), where the degradation is only 17.7% after 60 min. For pure ZnO catalyst (sample A), also the degradation is rather slow with ~ 53% degradation after 1 h. The decomposition of methylene blue dye in the presence of composite catalysts is relatively fast with sample E (with largest percentage of NiO) performing much better than all other samples. The percentage of degradation after 60 min for samples C and D is, respectively, ~ 63 and 89%. In the case of sample E, ~ 91% degradation is completed within 40 min, and with further elapse of time no more degradation occurs. Figure 7 shows the comparison of the photodegradation efficiency of the catalysts at different time intervals. One can clearly note both the enhanced performance of the composite samples in comparison with pure samples and the increase in the catalytic activity with increase in the percentage of NiO for the composites. Table 2 shows the performance of ZnO–NiO systems as photocatalysts reported in the literature [21, 24, 44, 45, 46]. It can be seen that the performance of sample E is rather good in comparison with the reported values.
Fig. 6

ae Absorption spectra of methylene blue dye during photocatalyzed degradation reaction under solar irradiation for samples A–E. f Plot of C/C0 with time

Fig. 7

Percentage degradation of methylene blue dye at different time intervals in the case of catalysts A–E

Table 2

Performance of ZnO–NiO systems as photocatalysts reported in the literature

Description of sample

Organic pollutant

Quantity of photocatalyst and light source

Degradation rate


Electrospun NiO/ZnO nanofibers

Rhodamine blue (10 mg/l)

0.01 g in 100 ml; 50 W high-pressure Hg vapour lamp

86.6% after 50 min


NiO/ZnO nanocomposites

Methylene blue and methyl orange (0.005 mol)

2.8 g/l; 450 W medium-pressure Hg vapour lamp

74 to 80% after 10 min


NiO/ZnO nanocomposites

Metronidazole (drug capsule) (1 mg/l)

2.5 g/l; 35 W moderate-pressure Hg vapour lamp

87% after 150 min


Cubic structure NiO-hexangular structure ZnO

Methyl orange (10 mg/l)

100 mg in 200 ml; 500 W high-pressure Hg lamp

Complete decoloration of reaction mixture within 25 min


Cubic NiO particles on flower-like ZnO

Methyl orange (10 mg/l)

100 mg in 200 ml; 500 W high-pressure Hg lamp

99% degradation after a 20-min irradiation


For comparing the performance of the catalysts quantitatively, the apparent first-order reaction rate constant k according to Langmuir–Hinshelwood model is calculated [47]. This model assumes that the heterogeneous catalytic action proceeds in three steps, viz. adsorption of the dye molecule on the surface of the photocatalyst, degradation and desorption of the final products. The rate constants are estimated to be 1.26 × 10−2, 0.31 × 10−2, 1.63 × 10−2, 3.56 × 10−2 and 6.00 × 10−2 min−1 for samples A, B, C, D and E. The rate constant for the composite samples is larger than that of the pure samples. For the composites, the rate constant increases with increase in the percentage of NiO. More importantly, it can be seen that the rate constant for pure NiO (sample B) is very small, one order of magnitude smaller than that for pure ZnO. Thus, the increase in the photocatalytic activity of composites is not due to the individual photocatalytic activity of ZnO or NiO crystallites present and is certainly due to some kind of synergistic effect. HRTEM analysis (Sect. 3.2) had clearly shown the formation of ZnO–NiO heterojunctions in the composites, while the decrease in the intensity of PL emission peak corresponding to the band-to-band transition of ZnO (Sect. 3.3) was in support of this inference. This could possibly enhance the photocatalytic activity of the composites.

The reusability test for sample E which has the best performance is shown in Fig. 8a. It can be seen that in the second and third cycles, the degradation efficiency values are 83% and 81% which are marginally low in comparison with the first run, viz. 91%. The pseudo-first-order rate constants for second and third runs are estimated as 4.4 × 10−2 and 4.2 × 10−2 min−1, respectively. Even during the third run, the rate constant is almost four times higher than the rate constant of pure ZnO which is promising from an application point of view.
Fig. 8

C/C0 as a function of time for three runs for sample E a methylene blue and b methyl orange

We have also tested the performance of sample E in the degradation of methyl orange (C14H14N3NaO3S; 0.01 mM solution), and the results for three runs are shown in Fig. 8b. Methyl orange is an anionic dye and is known to be much more stable compared to methyl blue. It was observed that the efficiency of the photocatalyst is relatively low with only 34% of degradation occurring in 80 min in the first run. During the second and third runs, only 25% and 22% of degradation occurred. The rate constants during the first, second and third runs are 5 × 10−3, 3 × 10−3 and 2 × 10−3 min−1, respectively.

In order to study the mechanism of enhanced photocatalytic activity in the composite samples, an analysis of the relative position of the conduction band and valence band edges of ZnO and NiO is required [31, 32, 33]. The conduction band (ECB) and valence band (EVB) edges for ZnO and NiO with respect to normal hydrogen electrode potential (NHE) are estimated using the equations
$$E_{\text{CB}} = \chi {-}E^{\text{e}} - 0.5E_{\text{g}}$$
$$E_{\text{VB}} = \chi {-}E^{\text{e}} + 0.5E_{\text{g}}$$
Here, χ is the electro-negativity of the semiconductor, Ee is the energy of free electrons with respect to NHE, and Eg is the band gap measured from DRS spectra. Electro-negativity χ of a semiconductor with composition AnBmCl can be estimated using the formula
$$\chi = \left[ {\chi \left( A \right)^{n} + \chi \left( B \right)^{m} + \chi \left( C \right)^{l} } \right]^{1/(n + m + l)}$$
Here, χ(A), χ(B) and χ(C) are, respectively, the electro-negativities of elements A, B and C.

Using these relations, the conduction band edge and valence band edge for pure ZnO are estimated to be − 0.10 eV/NHE and 3.0 eV/NHE, respectively. Corresponding values for pure NiO are − 0.39 eV/NHE and 2.91 eV/NHE. The band edge positions for ZnO and NiO are shown in Fig. 8a. As the CB edge of ZnO is located at a lower energy in comparison with the CB edge of NiO, photoexcited electrons in conduction band could be transferred to CB of ZnO, thereby increasing the concentration of free electrons. These free electrons could lead to the formation of O2·− leading to decomposition of the dye. Similarly, the position of the valence band edges permits the transfer of holes from ZnO to NiO. However, the sharp decrease in the intensity of emission peak corresponding to band–band electronic transition of ZnO and the result of HRTEM study indicate the formation of p–n heterojunctions. This contributes to more effective separation of free charge carriers which increases the life time of free charge carriers and enhances the photocatalytic activity depicted as follows.

Fermi level for ZnO (n-type) is just below the conduction band, while that for NiO (p-type) is just above the valence band (Fig. 9a). Thus, when ZnO and NiO are coupled, at the heterojunction, a depletion region is formed with positively and negatively charged regions in the ZnO and NiO sides, respectively, such that Fermi levels of both semiconductors are aligned [48, 49]. This results in an internal electric field from the n-side to the p-side as shown in Fig. 9b. The mechanism of enhancement of photocatalytic activity due to the formation of heterostructures is schematically depicted in Fig. 9b and can be explained as follows. Due to the presence of this internal electric field, when the valence electrons in ZnO are excited due to absorption of photons, the corresponding holes in the valence band are transferred to the valence band of NiO. Similarly, free electrons due to the photoexcitation in NiO are driven to the conduction band of ZnO [21, 49]. Thus, the internal electric field at the junction hinders the recombination of photogenerated free electrons and holes in the catalyst. This in turn enhances the concentration of both free electrons and holes on the surface of the catalyst leading to an enhancement in the catalytic activity. This model is well supported by the drastic fall in the intensity of the band–band emission of ZnO centred at 380 nm in the composite samples (Fig. 5d) [41]. Thus, in the present case though the electronic band gap is not much varied in the composites in comparison with pure ZnO, the charge separation efficiency is increased due to the formation of p–n heterojunctions. Over and above the decrease in the free charge carrier recombination efficiency, the d–d transitions in NiO due to the absorption of photons with energies lower than the band gap also contribute to the photocatalytic action of the composite due to the formation of holes in the valence band of NiO [9].
Fig. 9

a Position of valence band and conduction band edges of ZnO and NiO with respect to normal hydrogen electrode and b the charge separation mechanism at ZnO–NiO interface leading to formation of free radicals

The decomposition of the methylene blue dye is due to the formation of both super oxide anion radical O2·and hydroxide radicals OH· at the surface of the catalysts. The formation of O2·radicals due to the action of free electrons associated with the valence band of ZnO can be explained by the scheme given as follows [3].
$${\text{e}}_{\text{cb}}^{ - } + {\text{O}}_{2} \to {\text{O}}_{2}^{\cdot - }$$
Here, ecb represents a photogenerated free electron in the conduction band which according to the model proposed preferably resides in ZnO. The formation of OH· could be either due to the action of this oxide anion radical or due to the action of holes in the valence band [1, 3, 4, 25, 26]. Both schemes are depicted as follows.
$$\begin{aligned} & {\text{O}}_{2}^{\cdot - } + {\text{H}}_{2} {\text{O}} \to {\text{HO}}_{2}^{\cdot} + {\text{OH}} \\ & {\text{HO}}_{2}^{\cdot} + {\text{H}}_{2} {\text{O}} \to {\text{H}}_{2} {\text{O}}_{2} + {\text{OH}}^{\cdot} \\ & {\text{H}}_{2} {\text{O}}_{2} \to 2{\text{OH}}^{\cdot} \\ & h_{\text{vb}}^{ + } + {\text{OH}}^{ - } \to {\text{OH}}^{\cdot} \\ & h_{\text{vb}}^{ + } + {\text{H}}_{2} {\text{O}} \to {\text{OH}}^{\cdot} + {\text{H}}^{ + } \\ \end{aligned}$$

Here, hvb+ represents a hole in the valence band which preferably resides in NiO according to the model. Both O2·−and OH· radicals are strong oxidizing agents that could effectively cause the degradation of the methylene blue dye into less harmful species such as CO2 and H2O.

4 Conclusions

Nanostructured ZnO, NiO and ZnO–NiO composites with varying percentages of NiO are successfully synthesized through a novel facile sonochemical route. Advantages of this synthesis route in comparison with previously reported ones include template-free nature, low calcination temperature (250 °C) and relatively small processing duration (3 h). HRTEM studies indicate the formation of ZnO–NiO heterojunctions in the composites. Though the band gap of the composites is not much varied from those of pure ZnO, absorption below the bad gap in the visible range due to the d–d transitions in NiO is favourable for photocatalytic activity. The band-to-band emission of ZnO is suppressed in the composites as a consequence of the formation of p–n heterojunctions. Pseudo-first-order rate constant for the photocatalytic degradation reaction for sample E having largest fraction of NiO is 6.00 × 10−2 min−1, almost six times larger than that for ZnO. Further, the sample has good performance when reused with rate constant of 4.4 × 10−2 and 4.2 × 10−2 min−1, respectively, for second and third runs. The improved photocatalytic action for composite samples is attributed to an increase in the photogenerated charge carrier separation efficiency due to the formation of ZnO–NiO heterojunctions. Analysis of the relative position of the conduction band and valence band edges of ZnO and NiO also supports the proposed photogenerated charge carried separation mechanism. It was also observed that in the decomposition reaction of methyl orange, the catalytic efficiency for sample E is k = 5 × 10−3 min−1.



U. S. Udayachandran Thampy acknowledges University Grants Commission (UGC), Ministry of Human Recourses Development, Government of India, for financial assistance in the form of Post Doctoral Fellowship under the PDFSS scheme of University Grants Commission (UGC), Human Resources Development Ministry, Government of India (Award No. 2012-13 PDFSS -2012-13– SC- KER-2859). A. Mahesh acknowledges Kerala SC/ST welfare department, Government of Kerala, for financial assistance in the form of Research Fellowship (Award No. B3-25950/16). K. S. Sibi, I. N. Jawahar and V Biju acknowledge Kerala State Council for Science, Technology and Environment (KSSTE), for financial assistance under the SARD scheme (Grant No. KSCSTE SARD/003/2016). All authors acknowledge Sophisticated Instrumentation and Computation Centre (SICC), University of Kerala, for XRD measurements and National Institute for Interdisciplinary Science and Technology (NIIST), CSIR, Thiruvananthapuram, for SEM and TEM analysis.

Compliance with ethical standards

Conflict of interest

On behalf of all the authors, the corresponding author states that there is no conflict of interest.

Supplementary material

42452_2019_1426_MOESM1_ESM.docx (63 kb)
Supplementary material 1 (DOCX 63 kb)


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of PhysicsUniversity of KeralaThiruvananthapuramIndia

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