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Structural, optical and magnetic properties of Ni1−xZnxO/Ni nanocomposite

  • U. K. Panigrahi
  • P. K. Das
  • P. D. Babu
  • N. C. Mishra
  • P. MallickEmail author
Research Article
Part of the following topical collections:
  1. 4. Materials (general)


Ni1−xZnxO/Ni nanocomposite samples synthesized by wet chemical method were characterized by X-ray powder diffraction, Fourier Transform Infrared (FTIR) spectrometer, UV–Vis spectrometer and Nine Tesla Physical Property Measurement System (PPMS)-based vibrating sample magnetometer (VSM). XRD spectra contained peaks due to NiO and Ni. Rietveld refinement of XRD data indicated the change in lattice parameter is more than twice in NiO than in Ni suggests that Zn goes more favorably into NiO than in Ni. The band gap of NiO in Ni1−xZnxO/Ni samples increased from 3.58 to 3.81 eV with increasing x from 0 to 0.07 and thereafter the band gap slightly decreases. NiO/Ni nanocomposites show strong room temperature ferromagnetism. The ferromagnetic interaction further enhanced with 1% of Zn doping into NiO in NiO/Ni nanocomposite. Beyond this doping concentration, the magnetic interaction does not show any systematic variation. The observation of room temperature ferromagnetism in nanocomposite samples is explained by combining the effect of bound magnetic polaron and the magnetization of system with the distribution of magnetic ions as meagerly dispersed in large clusters. Our study indicated that Ni0.99Zn0.01O/Ni nanocomposite sample could be useful for magnetic recording device application.


Nanocomposite Doping NiO Ferromagnetism Band gap 

1 Introduction

Nanocomposites with at least one of the phase possessing nanoscale dimension [1] have attracted much attention of researchers due to their synergistic properties induced by the interactions between two or more different phases present in the system [2]. Despite challenges in the preparation of nanocluster phase with control of elemental composition and stoichiometry [3], nanocomposites unlock the possibility of developing advanced multifunctional devices due to the fascinating properties such as magnetic, magneto-optical, and semiconducting properties. Those properties can be modulated by the interfacial interactions between the different nanocomponents present in the host composite [2, 4]. Among different nanocomposites, transition metal (TM)-based nanocomposites have been considered as model system due to their potential applications as catalysts [5], fuel-cell electrodes [6, 7], magnetic memories [8], supercapacitors/battery hybrids [9], etc. Among the TM-based nanocomposite, NiO/Ni system shows its potentiality for diverse application possibilities such as good absorption of dyes [10], energy efficient storage [11, 12], electrochemical storage [13], electrochemical performance [12], photocatalyst [13, 14], microwave absorber with high efficiency [15], magnetic recording device [16] and also the system imparts magnetic separation property [17].

Nickel oxide (NiO) with cubic structure is a type-II antiferromagnetic (AF) semiconductor showing direct wide band gap energy in the range from 3.6 to 4.3 eV [18, 19, 20]. Among the TM oxides, NiO reveals the highest Neel temperature (524 K) in its bulk phase [18, 21]. The replacement of Ni2+ by non-magnetic element like Zn would break the original AF order in the NiO matrix. One could expect the emergence of different magnetic properties at the expense of original AF order as well as the evolution of TN due to doping. Master et al. [22] synthesized Zn-doped NiO by pulsed laser deposition method and demonstrated that NiO exhibits antiferro to ferromagnetic type behaviour due to the effect of Zn doping in field inducing spin canting of antiferromagnetic sublattices of NiO. Kumar et al. [23] also reported that NiO shows paramagnetism and superparamagnetism at 0.025 and 0.05 M Zn doping concentration, respectively. NiO shows room temperature ferromagnetism with further increasing Zn concentration (0.075 and 0.1 M). In another study, Bharati and Raji [24] reported that 2% Zn-doped NiO shows room temperature ferromagnetism. Huang et al. [25] reported that NiO/Ni nanocomposite exhibits much better electrochemical properties than pure NiO. Lai et al. [26] reported that NiO/Ni nanocomposite could be used for high-rate electrochemical energy storage device. Silva et al. [27] reported the improved room temperature saturation magnetization of NiO/Ni composite synthesized by proteic sol–gel method. You and Che [15] reported that the NiO/Ni nanoplate could be used as a highly efficient microwave absorber. Cui et al. [28] studied the effect of Mg dilution on the exchange bias properties of NiO/Ni granular system and reported that both exchange bias field and coercive field of the system decreased with Mg dilution. However, no literature is available on doping-induced evolution of properties of NiO/Ni nanocomposite.

In the present work, we synthesized Ni1−xZnxO/Ni nanocomposite with an objective to enhance the magnetic properties of NiO/Ni composite by Zn doping. Our study indicated that the 1% Zn-doped NiO/Ni composite could be useful for magnetic recording device application.

2 Experimental

Ni1−xZnxO/Ni nanocomposites with different Zn concentrations (x = 0, 0.01, 0.03, 0.05, 0.07, 0.1) were prepared by wet chemical method using Ni(NO3)2·6H2O and Zn(CH3COO)2·2H2O as initial precursor. The stoichiometric amount of the precursor materials along with 2 g of polyvinyl pyrrolidone (PVP) was dissolved in distilled water to form a solution. The solution was homogenized by stirring for 1 h with the help of magnetic stirrer. The resultant solutions were dried in a hot plate and finally, the dried products were sintered at 300 °C for 1 h to obtain Ni1−xZnxO/Ni nanocomposite samples. It is worth mentioning here that the pure NiO sample was synthesized without taking PVP.

Structural and microstructural characterization of NiO and Ni1−xZnxO/Ni samples were done using Bruker X-ray diffractometer (Model: D8 Advance) operating with CuKα radiation (\( \lambda = \, 1.540598\;{\AA} \)). The optical band gap of the samples was determined using diffuse reflectance spectroscopy by a double-beam UV–Vis spectrometer (Shimadzu, UV-2450) operated with integrating sphere assembly. The functional group analyses of the samples were done by the characterization with FTIR (Shimadzu, IRAffinity-1) spectrophotometer. A quantum design Nine Tesla (9T) Physical Properties Measurement System (PPMS)-based vibrating sample magnetometer (Model No: 6700) was employed to measure magnetic properties of the samples.

3 Results and discussion

3.1 Structural properties

Figure 1 shows the XRD pattern of Ni1−xZnxO/Ni nanocomposites with different Zn concentrations. As shown in the figure, the nanocomposite samples contain Ni (JCPDS card no: 65-2865) and NiO (JCPDS card no: 73-0179) phase without any other impurity phase. The XRD pattern of pure NiO and the standard XRD pattern for ZnO (JCPDS card no: 79-0205) are also given in Fig. 1 for comparison. Zn doping in NiO/Ni composite does not affect the crystal structure of either NiO or Ni. Nor did it induce any impurity phase in the sample. However, the microstructural parameters like lattice parameter, bond length, etc. [29] of composite sample is affected by Zn doping. It is clear from Rietveld refinement of XRD data using FullProf [30] that the variation of lattice parameters of NiO and Ni is not remarkable but slowly increases with increasing Zn concentration (Table 1). The percentage of change of lattice parameter in NiO is more than twice than in Ni in the composite sample with the highest Zn doping concentration, i.e., 10%. This suggests that Zn goes more favorably into NiO than in Ni. Figure 2 shows the representative Rietveld refinement image of Ni0.9Zn0.1O/Ni nanocomposite. The increase in lattice parameter could be due to the substitution of Ni atoms with the smaller Shannon ionic radii (0.69 Å) by Zn atoms of larger Shannon ionic radii (0.74 Å) in the Ni1−xZnxO/Ni composite [31]. We also extracted the Ni–Ni, Ni–O and O–O bond length from the Rietveld refinement and presented those in Table 1. The Ni–O bond length in NiO of 2.0862 Å is consistent with the reported values [32]. The substitution of Zn in place of Ni in NiO lattice could affect the values of near neighbor and next near neighbor bond lengths of the composite samples [32], as a result of which the bond lengths (Table 1) increased with increasing Zn doping concentration.
Fig. 1

XRD pattern of NiO and Ni1−xZnxO/Ni composite samples with different Zn concentrations (x = 0, 0.01, 0.03, 0.05, 0.07, 0.1). The standard XRD pattern for ZnO (JCPDS card no: 79-0205) is given for comparison

Table 1

Bond length, lattice parameter and % of NiO phase in NiO and Ni1−xZnxO/Ni nanocomposite samples. The Rp, Rwp and goodness of fit (\( \chi^{2} \)) values for each sample are given for comparison


Bond length (Å)

Lattice parameter (Å)

Change in lattice parameter (%)

% of NiO phase

R p

R wp

\( \chi^{2} \)


























































































Fig. 2

Rietveld Refinement of the typical XRD pattern of Ni0.9Zn0.1O/Ni nanocomposite

3.2 Functional group analysis

FTIR spectroscopy is used to study the presence of functional groups in the samples. The representative FTIR spectra of pure NiO, NiO/Ni and 1% Zn-doped NiO/Ni is shown in Fig. 3. The broad absorption band observed at ~ 3630 cm−1 in NiO/Ni sample is attributed to the OH stretching vibrations of water molecules present in the samples [33, 34]. This band is shifted to lower wavenumber with increasing Zn concentration in NiO. It has been predicted theoretically that the frequency lowering of the stretch motions of water could be due to the combined effect of an harmonicity of the considered potential and environment [35, 36, 37, 38, 39]. The redshift of OH stretching vibrations with increasing Zn concentration in NiO could due to effect of Zn doping-induced modification in chemical environment. The appearance of broad absorption band at ~ 447 cm−1 in all samples in our case could also be assigned to the stretching modes Ni–O [23, 40]. The observations of other different bands in NiO and Zn-doped NiO/Ni samples are summarized in Table 2 along with corresponding reported values.
Fig. 3

Representative FTIR spectra of NiO, NiO/Ni and 1% Zn-doped NiO/Ni composite samples

Table 2

Vibrational bands observed for NiO and Ni1−xZnxO/Ni with different values of x

Assigned vibrational band

Band (cm−1) observed for different samples

Reported value of band


Ni1−xZnxO/Ni with different values of x







Ni–O stretching mode

~ 447; 484

~ 447

~ 447

~ 447

~ 447

~ 447

~ 447

443 to 432 [23]; 436 [41]; 480 [42]

Stretching and bending vibrations of the intercalated C–O species








670 [42]

C–H vibrational bond








719 [43]

Bending vibrations of Co 3 2− ion




831 [44]

trans-C–H out-of-plane bend





960–970 [45]

C–O stretching vibration




1045 [46]

Bending vibrations of Co 3 2− ion








1384 [44]

Absorption of CO2 molecule from air








2357 [47]

Stretching vibration of C–H bond







2830 [42]; 2805 [48]







2882 [49]

O–H stretching vibrations








3641 [50]

3.3 Optical properties

The optical absorption coefficient (\( \alpha \)) and optical band gap (\( E_{g} \)) are related by following relation [51]:
$$ \alpha = B\frac{{\left( {h\nu - E_{g} } \right)^{p} }}{h\nu } $$
where \( h\nu \) is the photon energy and B is a material dependent constant parameter. The value of \( p \) is taken to be 1/2 for direct transition and 2 for indirect transition. Since NiO is a direct band gap semiconductor [52], we therefore consider \( p \) as 1/2. From the Tauc plot \( (\left( {\alpha h\nu } \right)^{2} \sim\;h\nu ) \), we calculate the band gap of NiO and Zn-doped NiO/Ni samples by extrapolating the linear portion of the curve to zero photon energy. The value of \( E_{g} \) as obtained for pure NiO is 3.83 eV (Fig. 4) which is consistent with the literature [53].
Fig. 4

Variation of (αhν)2 versus hν for NiO nanoparticles

Singh et al. [31] synthesized Ni1−xZnxO solid solution by solid-state reaction and reported that band gap of NiO decrease in 3.65 to 3.35 eV with increasing Zn concentration from 0 to 31% in NiO. Thangamani and Pushpanathan [50] also reported the decrease in band from 3.70 to 3.58 eV with increasing Zn concentration from 0 to 5% in NiO prepared by chemical precipitation method. Similar observation, i.e., decrease in band gap with increasing Zn concentration, has also been reported for Zn-doped NiO thin film cases [41, 54, 55, 56]. In contrary to the literature, our study indicated that the band gap of NiO increased from 3.58 to 3.81 eV with increasing of Zn concentration 0 to 7% in Ni1−xZnxO/Ni nanocomposites and thereafter the band gap slightly decreases for 10% Zn-doped NiO/Ni sample (Fig. 5). Since the band gap of ZnO showing rock salt structure is ~ 4.5 eV [57], therefore one should expect that the band gap of NiO with rock salt structure will be increased with Zn doping.
Fig. 5

Variation of (αhν)2 versus hν for NiO/Ni and Zn-doped NiO/Ni nanocomposite samples

Generally, the band gap of ternary compound shows bowing. We extracted the bowing parameter for Ni1−xZnxO/Ni nanocomposites by fitting the band gap data to the following relation [58, 59]:
$$ E_{{g,{\text{Ni}}_{1 - x} {\text{Zn}}_{x} {\text{O}}}} = xE_{g,ZnO} + (1 - x)xE_{{g,{\text{NiO}}}} - bx(1 - x) $$
where \( E_{{g,{\text{Ni}}_{1 - x} {\text{Zn}}_{x} {\text{O}}}} \),\( E_{{g,{\text{ZnO}}}} \) and \( E_{{g,{\text{NiO}}}} \) are the band gap of Ni1−xZnxO/Ni nanocomposite, ZnO and NiO, respectively. The nonlinearity in the band gap is determined by the bowing parameter (\( b \)). Since the Zn is doped in the rock salt structure of NiO, we therefore considered the band gap of rock salt ZnO and experimentally obtained band gap of Ni1−xZnxO/Ni nanocomposite with Zn concentration to fit the same into Eq. (2). Considering the reported experimental and theoretical values of \( E_{{g,{\text{ZnO}}}} \) of rock salt ZnO as 4.5 eV and 4.27 eV [57], respectively, we obtain the value of \( b \) as − 1.81 eV and − 2.06 eV, respectively. Singh et al. [31] reported the value of bowing parameter as − 0.93 eV and pointed out that the negative bowing could possibly due to the repulsive interaction between the O-2p ligand and Ni-3d orbital.
Refractive index (\( n \)) is one of the important properties to evaluate the potentiality of the material in the application of integrated optical devices. Kumar and Singh [60] have proposed a model to calculate \( n \) for mixed materials belonging to semiconductors of different groups, insulators and halides. According to the model, the \( E_{g} \) and \( n \) are related by
$$ n = KE_{g}^{C} $$
where K = 3.3668 and C = − 0.32234. We calculate \( n \) for each of the composite sample from the \( E_{g} \) of corresponding NiO using Eq. (3). We also calculate the \( \alpha^{\prime}_{\text{Classical}} \) and \( \alpha^{\prime} \) from \( n \) and \( E_{g} \) respectively using the following relation [61, 62, 63]:
$$ \alpha^{\prime}_{\text{Classical}} = \frac{{\left( {n^{2} - 1} \right)}}{{\left( {n^{2} + 2} \right)}}\frac{M}{\rho } \times 0.395 \times 10^{ - 24} {\text{cm}}^{3} $$
$$ \alpha^{\prime} = \left[ {\frac{{12.41 - 3\sqrt {E_{g} - 0.365} }}{12.41}} \right]\frac{M}{\rho } \times 0.395 \times 10^{ - 24} {\text{cm}}^{3} $$
where M and ρ are the molecular weight (g/mol) and density of required material (g/cm3). The calculated values of \( E_{g} \), \( n \), \( \alpha^{\prime}_{\text{Classical}} \) and \( \alpha^{\prime} \) of NiO present in Ni1−xZnxO/Ni nanocomposite samples are given in Table 3. The values of refractive index and electronic polarizability of NiO decreased with increasing Zn concentration in NiO/Ni nanocomposite. The deviation from the trend of variation of \( E_{g} \) and other parameters with Zn content (Table 3) for the highest Zn content (10%) in the sample could possibly due to phase segregation and second phase precipitation in the sample.
Table 3

The values of \( E_{g} \), \( n \), \( \alpha^{\prime}_{\text{Classical}} \) and \( \alpha^{\prime} \) of NiO in Ni1−xZnxO/Ni nanocomposite samples


\( E_{g} \) (eV)

\( n \)

\( \alpha^{\prime}_{\text{Classical}} \) (× 10−24 cm3)

\( \alpha^{\prime} \) (× 10−24 cm3)




































3.4 Magnetic properties

Figure 6 shows the zero field cooled (ZFC) and field cooled (FC) magnetization of NiO nanoparticle in the temperature range 3 to 360 K measured at a field of 100 Oe. Initially, both ZFC and FC magnetization slowly increase with decreasing temperature from 360 K and the bifurcation in the ZFC and FC data starts at ~ 310 K. The ZFC data shows a broad peak at ~ 170 K and then decreased up to ~ 140 K. Again, the ZFC curve shows a monotonic increase with further lower the measuring temperature. The FC curve increases monotonically with decreasing temperature. The continuous increase in both FC and ZFC magnetization with lowering the temperature below 140 K indicated the signature of non-interacting or weak interacting particles [64, 65, 66]. Similar observation has been reported by Tadic et al. [66] for NiO nanoparticles embedded in a silica matrix.
Fig. 6

Variation of ZFC and FC magnetization of NiO as a function of temperature measured at an applied field of 100 Oe

The appearance of broad peak at 170 K in NiO could be the occurrence of blocked and relaxed superparamagnetism due to the interaction of ferromagnetic surface spin and antiferromagnetic core. The interaction between surface and core of NiO nanoparticles could result into ferromagnetic like hysteresis loop with missing saturation behavior (discussed later) as the antiferromagnetic exchange interaction between the core spins cannot be completely released in measured magnetic field [67].

To probe further into the magnetic behavior of NiO, we plot inverse susceptibility (χ−1) as a function of temperature (T) (Fig. 7). As indicated from the figure, NiO shows paramagnetic like behavior due to incomplete compensation of AFM sublattices at the surface [68]. In Langevin’s statistical theory of paramagnetism, the thermal variation of susceptibility is expressed as [69]:
$$ \chi = \frac{{N\mu_{\text{eff}}^{2} }}{3kT} = \frac{C}{T} $$
where \( C = \frac{{N\mu_{\text{eff}}^{2} }}{{3k_{B} }} \). The Curie constant (\( C \)) of 0.02018934 is obtained by the linear fit of the χ−1~T at high-temperature regime. The effective moment (\( \mu_{\text{eff}} \)) of NiO can be calculated from \( C \) using the relation [70]:
Fig. 7

Variation of inverse susceptibility with temperature of NiO samples and red line corresponds to linear fitting at high-temperature regime

$$ \mu_{\text{eff}} = 2.828\sqrt C $$

Effective magnetic moment of the NiO nanoparticles thus calculated is 3.47 \( \mu_{B} \), which is close to both theoretical (2.83 \( \mu_{B} \)) as well as experimental (2.8 to 4.0 \( \mu_{B} \)) value for Ni2+ ion [71].

Figure 8 shows the ZFC and FC magnetization of Ni1−xZnxO/Ni nanocomposite samples at different Zn doping concentration. As shown in the figure, all the nanocomposite samples show a clear minima (Tm) in the ZFC curve up to which the magnetic moment decreases with an increase in temperature and thereafter the magnetic moment increases with temperature. The increase in ZFC magnetization below Tm could possibly due to the paramagnetic contribution of loose surface spin of the particles [72]. The value of Tm does not show any systematic variation with Zn doping. The Tm value of Ni1−xZnxO/Ni sample decreased from 25 K to 14 K with increasing x from 0 to 3% and the same further increased to 30 K with increasing x to 10%. The non-monotonic variation of Tm with Zn content (x) may be due to second phase precipitation at high Zn content as discussed earlier. The merging of ZFC and FC magnetization and maxima in ZFC curve above Tm, which was seen in case of NiO sample (Fig. 6), could not be achieved in the NiO/Ni or the Zn-doped NiO/Ni samples in measured temperature range. This indicates that the occurrence of irreversibility temperature as well as blocking temperature in nanocomposite samples is higher than 360 K [16] and possibly due to the large average size of the Ni particles and increased anisotropy due to the coupling in Ni/NiO (ferromagnetic/antiferromagnetic) system [8]. The behavior of ZFC curve reflects two magnetic phases viz. one paramagnetic which dominate in low-temperature region and the other ferromagnetic contribution which predominates in the higher temperature region [73, 74].
Fig. 8

ZFC and FC magnetization as a function of temperature measured at H = 100 Oe for a NiO/Ni, b Ni0.99Zn0.01O/Ni, c Ni0.97Zn0.03O/Ni, d Ni0.95Zn0.05O/Ni, e Ni0.93Zn0.07O/Ni and f Ni0.9Zn0.1O/Ni

To further understand the magnetic behavior of NiO and Ni1−xZnxO/Ni nanocomposite, magnetization as a function of field (M-H) was recorded at room temperature (Fig. 9). The inset of figure (Fig. 9) shows the expanded view of M-H curve for pure NiO showing hysteresis loop. As shown in figure, NiO nanoparticles exhibit ferromagnetic like hysteresis loop with missing saturation behavior. This could possibly due to interaction between antiferromagnetic core and ferromagnetic surface spin in the core–shell structure [67, 75]. In addition to weak ferromagnetism of NiO, Ni moments also contribute to net magnetization in NiO/Ni nanocomposite. Hence the appearance of strong ferromagnetism is reflected in the M-H curve of NiO/Ni nanocomposite. The ferromagnetic interaction further enhanced with 1% of Zn doping into NiO in NiO/Ni nanocomposite. The random substitution of non-magnetic Zn at Ni sites of NiO leads to the formation of Ni–O–Zn–O–Ni which in turn breaks the original Ni–O–Ni–O–Ni antiferromagnetic superexchange interaction [28, 76, 77]. As a result of which ferromagnetic interaction amplified with 1% of Zn doping. The magnetic interaction starts decreasing with further increasing Zn concentration in NiO/Ni nanocomposite. The 5% Zn-doped NiO/Ni sample with the lowest percentage of Ni phase (~ 3.6%) shows the lowest value of magnetization (Table 4) among all nanocomposite samples. The intrinsic non-stoichiometry of ZnO, i.e., Zn excess nature also plays the crucial role in determining the magnetic property of NiO/Ni nanocomposite at higher doping concentrations. As the Zn doping percentage in NiO/Ni increases, the metal excess nature of ZnO dominates over metal deficient NiO which in turn reduces the percentage of Ni fraction in the composite sample. Since the fraction of Ni phase reduces, the magnetic interaction reduces. The magnetization increased further with increasing Zn doping concentration to 7% and the same again decreased at the highest Zn doping concentration (10%). The increase and decrease in magnetic interaction Zn concentration > 5% could possibly due to the competition between effect seen at low doping concentration and the dominance of intrinsic non-stoichiometry of ZnO.
Fig. 9

M-H curve of NiO and Ni1−xZnxO/Ni nanocomposite samples measured at 300 K. Inset shows the expanded view of M-H curve for NiO

Table 4

Various parameters extracted from M-H curves of NiO and Ni1−xZnxO/Ni (x = 0 to 10) nanocomposite samples. The % of Ni phase given in table was obtained from Rietveld refinement of XRD data


\( M_{r} \) (emu/g)

\( H_{C} \) (Oe)

% of Ni phase

M0 (emu/g)

N (× 1017 cm−3)

\( m_{eff} \) (× 10−17 emu)

\( \chi_{m} \)

\( M_{S} \) (emu/g)

\( K_{1} \) \( ( \times 10^{4} ) \)(erg/g)







































































There are several models proposed in the literature to understand the origin of ferromagnetism (FM) in doped oxide systems. The bound magnetic polaron (BMP) model is one of the models which is partially explain the origin of room temperature ferromagnetism in transition metal (TM)-doped oxide materials. The presence of magnetic cations, carriers, and defects like oxygen vacancies in the system can make up BMPs which may be responsible for the occurrence of room temperature FM in the oxide materials [78, 79]. According to BMP model [80, 81, 82, 83], the magnetization is given by
$$ M = M_{0} L\left( x \right) + \chi_{m} H $$
The first term in Eq. (7a) represents the contribution of the BMP’s, second term is the matrix contribution. Here \( M_{0} = Nm_{s} \), \( N \) is the number of BMPs involved, \( m_{s} \) is the effective spontaneous moment per BMP, \( \chi_{m} \) is the susceptibility of the matrix. The Langevin function, \( L\left( x \right) \) is given by [84]
$$ L\left( x \right) = \coth \left( x \right) - \frac{1}{x} $$
$$ {\text{with}}\;x = \frac{{m_{\text{eff}} H}}{{K_{B} T}} $$
Now Eq. (7a) becomes
$$ M = M_{0} \left( {\coth \left( x \right) - \frac{1}{x}} \right) + \chi_{m} H $$
Figure 10 shows the experimental M-H data of NiO and Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite taken in first interval (i.e., 0 to H) measured at 300 K. The solid line corresponds to the fitted data to the experimental data as per Eq. (8). It is worth mentioning here that the \( m_{s} = m_{\text{eff}} \) at high temperature. The values of \( M_{0} \), \( m_{\text{eff}} \) and \( \chi_{m} \) obtained from the fitting of Eq. (8) to experimental data are listed in Table 4.
Fig. 10

Variation of magnetization with magnetic field for NiO and Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite taken in first interval (i.e., 0 to H) measured at 300 K. The solid line corresponds to the fitted data to the experimental data as per Eq. (8)

As shown in Table 4, the value of \( M_{0} \) of NiO is very small as compared to Ni1−xZnxO/Ni nanocomposites whereas the variation of matrix susceptibility,\( \chi_{m} \) is not remarkable in NiO and Ni1−xZnxO/Ni nanocomposites. It is also evident that the \( m_{\text{eff}} \) is of the order of 10−17 emu. The variation of \( m_{\text{eff}} \) with increasing Zn doping concentration is in accordance with the magnetization behavior as discussed above. This indicated that Zn doping influences the magnetic property of NiO/Ni nanocomposites. The volume concentration of BMP calculated from \( M_{0} \) and \( m_{\text{eff}} \) is in the order of 1017 cm−3. The required concentration of BMPs in order to have long-range percolation and to explain ferromagnetism is of the order of 1020 cm−3 [85, 86]. Therefore, this model alone cannot explain the occurrence of ferromagnetism to our case. Similar observation has also been reported for Co-doped ZnO samples [87].

The value of saturation magnetization of the samples can be obtained by fitting the high field (> 1 Tesla) magnetic hysteresis to following equation [88, 89]:
$$ M = M_{S} \left( {1 - \frac{8}{105}\left( {\frac{{K_{1} }}{{M_{S} H}}} \right)^{2} } \right) + kH $$
where \( M_{S} \) is the saturation magnetization, \( K_{1} \) is the cubic anisotropic constant and \( k \) is the high field susceptibility. Figure 11 shows the room temperature M-H data taken in first interval (i.e., 0 to H) for NiO and Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite fitted to Eq. (9) beyond 20,000 Oe. The values of \( M_{S} \) and \( K_{1} \) obtained from the fitting are reflected in Table 4. Magnetocrystalline anisotropy constant is one of the important characteristic features of the ferromagnetic substance. Generally, hard magnetic materials show larger magnetocrystaline anisotropy constant which enables to use them for application in magnetic recording media [90]. Franco and Silva [88] reported the value of magnetocrystaline anisotropy constant as 3.87 \( \times \) 106 erg/cm3 for CoFe2O4. Kumar and Kar [90] reported that the magnetocrystaline anisotropy constant of CoFe2−xAlxO4 varies from 4.3 \( \times \) 104 erg/cm3 to 0.4 \( \times \) 104 erg/cm3 with changing the Al concentration x from 0 to 0.04. Kumar et al. [91] reported that the magnetocrystaline anisotropy constant of CoFe2O4 decreased from 4.522 \( \times \) 105 erg/g to 2.421 \( \times \) 105 erg/g while making nanocomposite with NiO in ratio of 0.5:0.5. In our case, the magnetocrystaline anisotropy constant of Ni1−xZnxO/Ni varies from 3.979 \( \times \) 104 erg/g to 2.867 \( \times \) 104 erg/g as Zn concentration changes from x = 0 to 0.1 (Table 4).
Fig. 11

Variation of magnetization with magnetic field for NiO and Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite taken in first interval (i.e., 0 to H) measured at 300 K. The solid line corresponds to the fitted data to the experimental data beyond 20,000 Oe as per Eq. (9)

The magnetization of the ferromagnetic materials can be fitted to Brillouin function and can be expressed [69] as
$$ M_{\text{Brillouin}} = N^{\prime}gJ\mu_{B} \left[ {\frac{2J + 1}{2J}\coth \left( {\frac{{\left( {2J + 1} \right)x}}{2J}} \right) - \frac{1}{2J}\coth \left( {\frac{x}{2J}} \right)} \right] $$
where \( x = \frac{{gJ\mu_{B} H}}{{k_{B} T}} \), \( J \) is the total electronic angular momentum, \( g \) is the Lande g factor of the magnetic ion, \( \mu_{B} \) is the Bohr magneton, \( N^{\prime} \) is the number of cation sites per gram, \( k_{B} \) is the Boltzmann constant. Since all the samples in our case show ferromagnetic behavior, we therefore fit magnetization data of first interval (i.e., 0 to H) measured at 300 K to Eq. (10). However, our magnetization data are not well fitted Eq. (10).
It has been reported that the magnetization of system with the distribution of magnetic ions as meagerly dispersed in large clusters can be well explained to following expression [92, 93]:
$$ M_{{{\text{Brillouin}} - \left( {H - A} \right){\text{model}}}} = M_{\text{Brillouin}} + M_{{\left( {H - A} \right){\text{model}}}} $$
$$ M_{{\left( {H - A} \right){\text{model}}}} = \frac{AH}{{\left( {B + H} \right)}} $$
where \( A \) and \( B \) are the parameters in the H-A model. Also the H-A model explains the magnetization of the materials comprising of random defects as per Brown’s theory [93]. Since our samples contain some type of defects, we therefore fit the magnetization data to Eq. (11). Since the Ni2+ ion has \( S = 1 \) and \( L = 3 \) with \( J = 4 \) [71, 94], we therefore fitted the magnetization curves (Fig. 12) of Ni1−xZnxO/Ni and NiO samples to \( J = 4 \) and our data nicely fitted to Eq. (11). The values of \( N^{\prime} \), \( A \) and \( B \) for NiO and Ni1−xZnxO/Ni obtained from fitting of the M-H curve with Eq. (11) are presented in Table 5.
Fig. 12

Variation of magnetization with magnetic field for NiO and Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite taken in first interval (i.e., 0 to H) measured at 300 K. The solid line corresponds to the fitted data to the experimental data as per Eq. (11)

Table 5

The values of \( N^{\prime} \), \( A \) and \( B \) for NiO and Ni1−xZnxO/Ni obtained from fitting of the M-H curve with Eq. (11)


\( N^{\prime} \) (× 1020) (per gm)

\( A \) (emu/gm)

\( B \) (Oe)





























4 Conclusion

We report the evolution of structural, optical and magnetic properties of Ni1−xZnxO/Ni (x = 0 to 0.1) nanocomposite. Zn doping in NiO/Ni composite does not affect the crystal structure of NiO/Ni samples. However, the microstructure of composite sample is affected by Zn doping. The bond lengths among different ions increased with increasing Zn doping concentration. The redshift of OH stretching vibrations with increasing Zn concentration in NiO could due to effect of Zn doping-induced modification in chemical environment. The band gap of NiO increased with increasing of Zn concentration. The occurrence of negative bowing in band gap is an indication that the nanocomposite could be useful for UV photodetector applications. Magnetic characterization on the samples indicated that NiO and all the Ni1−xZnxO/Ni samples show room temperature ferromagnetism. However, the nanocomposite sample with 1% Zn with the highest value remanent magnetization and anisotropic constant could be ideal for its use in various device applications like magnetic recording media.



We thank Dr. P.V. Rajesh, UGC-DAE CSR, Kolkata Centre for his help in XRD measurements and H.O.D., Dept. of Chemistry, NOU for providing FTIR and UV–Visible spectrometer facilities. PM and UKP thank UGC-DAE CSR, Mumbai Centre for providing financial support vide the Collaborative Research Project (CRS-M-241).

Compliance with ethical standards

Conflict of interest

We do not have any conflict of interest at this moment.

Supplementary material

42452_2019_461_MOESM1_ESM.docx (260 kb)
Supplementary material 1 (DOCX 260 kb)


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Authors and Affiliations

  1. 1.Department of PhysicsNorth Orissa UniversityBaripadaIndia
  2. 2.UGC-DAE Consortium for Scientific Research, Mumbai CentreMumbaiIndia
  3. 3.Department of PhysicsUtkal UniversityBhubaneswarIndia

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