Siamak Pilban Jahromia,
Alagarsamy Pandikumar*a,
Boon Tong Goha,
Yee Seng Lima,
Wan Jefrey Basirunb,
Hong Ngee Limc and
Nay Ming Huang*a
aLow Dimensional Materials Research Centre, Department of Physics, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia. E-mail: pandikumarinbox@gmail.com; huangnayming@um.edu.my
bDepartment of Chemistry, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
cDepartment of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
First published on 22nd January 2015
The influence of the particle size of an active material on its performance as a supercapacitor electrode was reported. Nickel oxide nanoparticles (NiO NPs) with a uniform particle size were synthesized via a facile sol–gel method, and various sizes of NiO NPs (8, 12, and 22 nm) were achieved by calcination at various temperatures (300, 400, and 500 °C). TEM observations and XRD analysis were used to determine the particle size of the NiO NPs. The field emission scanning electron microscopy (FESEM) and transmission electron microscopy (TEM) images showed flake-like morphologies, which consisted of interconnected nanoparticles with a porous channel to facilitate the diffusion of the electrolyte. The NiO NPs with an average particle size of 8 nm gave the highest specific capacitance value of 549 F g−1 at a scan rate of 1 mV s−1 compared to the NiO NPs with average particle sizes of 12 and 22 nm. These results suggest that the particle size of the NiO nanostructure plays an important role because of the presence of a higher number of active sites for a faradaic reaction.
Several alternative electrode materials have been investigated, including metal oxides, metal hydroxides, metal sulfides, conducting polymers, and carbonaceous materials.7–9 Metal oxides such as RuO2, Co3O4, MnO2, and NiO are the most promising materials for pseudocapacitors because of their high specific capacitance. The pseudocapacitor properties of RuO2 have attracted a great deal of attention because of their high electrochemical stability, wide potential window, and high specific capacitance. However, the high cost of RuO2 limits its commercial application. Hence, NiO is a promising alternative transition metal because it is easily available, has a low cost and good electrochemical stability, and is a p-type semiconductor, with a wide band-gap of 3.6–4.0 eV.10 Recently, the advances in the synthesis of the NiO nanostructure have caused it to receive more attention. Furthermore, its outstanding theoretical specific capacitance of 3750 F g−1 and thermal stability made NiO a viable choice for the construction of high-performance supercapacitors.11,12 Hence, much of the research has focused on the size controlled synthesis of tailored NiO nanostructures to improve the electrochemical properties and increase its specific capacitive.13,14
Several methods have been employed to synthesize NiO nanostructures, including pulse laser deposition (PLD),15 sol–gel,16 solvothermal,10 hydrothermal,17 precipitation,18 sonochemical,19 anodic plasma,20 microemulsion,21 and thermal decomposition methods.22 The preparation of NiO nanostructures is a complicated process, and a wide range of synthetic parameters affect the properties of the final products [15–22]. NiO with a porous structure and appropriate high specific surface area can facilitate a very short diffusion pathway for ions to connect with the external and internal electroactive sites and enhance the rate of faradaic redox reaction. Sol–gel synthesis is one of the simplest, most promising, and lowest-cost methods for preparing NiO NPs.23 The sol–gel method has advantages such as producing a uniform morphology, high crystallite size and purity, and controllable particle size, which can improve the electrochemical properties of the NiO NPs as an electroactive material in the supercapacitors.
Several groups have reported the synthesis of flaky, porous nickel oxide to facilitate the diffusion of electrolyte to improve the electrochemical performance of nickel oxide.4,11,24 In a previous report, Khairy et al. explored the influence of the morphology, surface area, and pore size/distribution of NiO nanostructures on the electrochemical energy storage performance.25 However, to the best of our knowledge, there has been no report on the influence of the particle size of the NiO NPs forming the porous channel on the performance of a supercapacitor electrode. The diffusion of the aqueous electrolyte is aided if the channel is larger than the molecular sizes of the electrolyte ions. In this regard, the particle size of NiO NPs should be kept small, while maintaining the channel within its flaky structure. This subject has been overlooked by the research community. NiO NPs with average sizes of 8, 12, and 22 nm were synthesized through a sol–gel method in a gelatin medium followed by calcination at 300, 400, and 500 °C, respectively. The prepared NiO NPs with various particle sizes were characterized by XRD, FESEM, and TEM. The electrochemical performances of the NiO NPs with different particle sizes as electroactive materials for supercapacitors were studied in the presence of an electrolyte (1 M KOH).
Several techniques can be used to calculate the crystallite size, such as the Scherrer equation (D = Kλ/β
cos
θ), where D is the grain size, K is the constant of the Scherrer formula related to an index (hkl) and the shape of the NPs, λ is the X-ray wavelength, θ is the XRD diffraction angle, and β is the full width at half maximum (FWHM) of the diffraction peak measured in radians. From the Scherrer equation, parameter β needs to be corrected because the width of the broadening peaks is the result of both the crystallite size and micro-structure strain. In order to correct β for βD, the Gaussian equation is used to separate the effects of the crystallite size and micro-structure strain, as shown in eqn (1).26
![]() | (1) |
Because of the limitation of the Scherrer equation, in our study, the Williamson–Hall plotting method was used to study the crystallite size and micro-structure strain effects. In this method, we consider that these effects contribute to the line broadening, which can be separated using the Lorentzian equation, as shown in eqn (2).
| βhkl = βD ± βε | (2) |
![]() | (3) |
The constant A depends on the shape of the particles.28 In Fig. 2, the term (dhklβhkl
cos
θ)2 is plotted with respect to
for all of the diffraction peaks of the NiO NPs with the cubic phase from 2θ = 20° to 80°. In this case, the crystallite size is determined from the slope of the linearly fitted data, where the root of the y-intercept gives the strain. The results obtained from the SSP models are summarized in Table 1. It can be clearly seen that the crystallite size of the NiO NPs increased with the increasing calcination temperature. Furthermore, the lattice constant decreased because of the increase in the size of the particles and thus decreased the micro-strain. Although the effect of the particle size on the lattice constant has been noted, the real facts are unclear. Some authors have assumed that it is a consequence of the Laplace pressure, ΔP = 2δ/r, where δ is the surface tension, and r is the diameter of the NPs. In addition, the concentration of vacancies might affect the size of the lattice constant.29
| Calcination temperature | Average particle size (nm) ± 0.2 | Constant lattice (Å) | Size–strain plot D (nm) | Strain | Band gap (eV) |
|---|---|---|---|---|---|
| 300 °C | 8.1 | 4.181 | 6.8 | 0.024 | 3.68 |
| 400 °C | 11.9 | 4.181 | 8.4 | 0.017 | 3.65 |
| 500 °C | 21.8 | 4.179 | 14.3 | 0.008 | 3.61 |
![]() | ||
| Fig. 3 (a–c) FESEM morphological structures of NiO samples at different calcination temperatures. (d–f) TEM micrographs and (g–i) the size distribution of NiO NPs calcinated at different temperature. | ||
The formation mechanism of the flake-like NiO structure involves three steps: nucleation, growth, and oriented attachment. The nucleation process is strongly dependent on the degree of super-saturation. In the nucleation process, the super-saturation is very high, and the electrostatic repulsive barriers are low. Hence, the particles tend to aggregate with one another. In the second step, the agglomeration of primary NiO NPs (formed at low temperature) plays an important role in the growth of the NiO NPs calcined at a higher temperature. The coalescence of the primary particles in the agglomerates led to the elimination of primary particles below 10 nm in size due to the higher calcination temperature. The smaller primary particles tend to be connected together. This phenomenon gives rise to larger agglomerated particles, along with the rapid minimizing of the interfacial free energy, which is proportional to 2γ/R, where R is the radius of the spherical particles, and γ is the specific interfacial free energy.30 In the attachment step, it is well known that the surface energy reduction is the principle rule for crystal growth, and the morphology progression is promoted by a greater decrease in the surface energy.31 It is conceivable that the attachment of the NiO NPs along a particular direction to form a flake-like structure is due to the tendency toward minimum surface energy.
Fig. 4 shows the crystallite and particle size as a function of temperature. In this case, the particle growth was greater than the crystal growth, which shows that the agglomeration of primary NiO NPs (formed at low temperature) plays an important role in the growth of NiO NPs that are calcined at a higher temperature. The NiO samples calcined at 400 and 500 °C showed larger particle sizes with wider size distributions compared to the NiO sample calcined at 300 °C.
![]() | ||
| Fig. 4 Plots obtained for the crystallite size and particle size of NiO NPs vs. calcination temperature. | ||
| NiO + zOH− ↔ zNiOOH + (1 − z)NiO + ze− | (4) |
The choice of the potential window in a suitable range is important to obtain well-resolved redox peaks.32,33 This strategy is also helpful to study the NiO NP size effect as an electroactive material for pseudocapacitors. Fig. 5 shows CV patterns of the NiO NP electrodes at different scan rates. The current density of the redox process increases with the scan rate. The anodic peak shifts toward the positive region, and the cathodic peak shifts toward the negative region. The behaviors of the NiO electrodes are in good agreement with previous reports.34–38 The observed shifts in the redox peaks are attributed to a rapid ion/electron diffusion rate at the interface/surface structure of the NiO NP electrodes during the faradaic redox reaction.32
The capacitive properties of pseudocapacitors are based on the surface reversible redox mechanism. The redox peak potentials in the CV patterns are indicated as Ea and Ec, respectively. The asymmetry in the redox peaks of the NiO NP electrodes indicates a kinetic irreversibility during the faradaic reaction. A smaller ΔE = Ea − Ec value shows better reversibility in the redox process.5 Hence, at lower scan rates, the NiO NP electrodes show better reversibility in the faradaic reaction (Fig. 5). From Fig. 5d, among the three NiO NP electrodes, the reversibility of the redox process increases with the calcination temperature. NiO NPs with a calcination temperature of 500 °C had an average size of 22 nm, showing the best redox reversibility, followed by NiO NPs calcined at 400 °C and 300 °C, which had average sizes of 12 and 8 nm, respectively. This was due to the higher crystallinity for the NiO NPs calcined at 500 °C and it showed a better reversibility. In addition, the FESEM images show that the nano-flake morphology at 300 °C with a particle size of 8 nm changed to a macro-flake morphology at 500 °C with a particle size of 22 nm, which indicated that the overall structure was more robust and less susceptible to changes in its structure. From the comparison of the NiO NP electrode CV curves (Fig. 5d) for different particle sizes under the same electrochemical conditions (scan rate of 30 mV s−1 & 1 M KOH), it can be seen that at a higher calcination temperature with a larger particle size, the magnitude of the current density decreases, and the reversibility increases.
To maximize the faradaic reaction processes, a nanostructure with an open channel is preferred because of the presence of electroactive outer and inner pores. This approach maximizes the pseudocapacitive contribution of the redox active nickel oxide.38 Several methods have been used to synthesize various open structures for active electrode materials. However, the influence of the size of the particles that form the open porous structure on the electrochemical performance has not been reported. The inset of Fig. 5d shows the linear relationship between the anodic peak current density and the scan rate (quasi-linear) for NiO NP electrodes with average sizes of 8, 12, and 22 nm. Based on this plot, the slope of the linear data is proportional to the surface reaction of the NiO NP electrodes.39 The results showed that the surface faradaic reaction of the NiO NP electrodes decreases when the particles size increases. Although a large electrolyte channel with a suitable pore size plays an important role in facilitating the diffusion of the electrolyte, the size of the particles forming the channel is critically important to maintain a high number of active sites for the faradaic reaction. As shown in the TEM images (Fig. 3d–f), increasing the calcination temperature created a larger electrolyte channel with larger particles of nickel oxide, leading to fewer active sites for the redox reaction to occur. Hence, the surface reaction was decreased, as shown in the inset of Fig. 5d.
The specific capacitances (Cs) of the NiO NP electrodes were calculated based on the CV curves using eqn (5).
![]() | (5) |
| Scan rate mV s−1 | NiO-8 nm | NiO-12 nm | NiO-22 nm | |||
|---|---|---|---|---|---|---|
| ΔE = Ea − Ec mV | Cs (F g−1) | ΔE = Ea − Ec mV | Cs (F g−1) | ΔE = Ea − Ec mV | Cs (F g−1) | |
| 1 | 202 | 549 | 151 | 442 | 91 | 199 |
| 5 | 291 | 413 | 231 | 286 | 160 | 169 |
| 15 | 440 | 269 | 363 | 210 | 214 | 134 |
| 20 | 490 | 236 | 379 | 200 | 231 | 128 |
| 30 | 595 | 200 | 390 | 179 | 270 | 118 |
| 40 | 679 | 175 | 401 | 168 | 288 | 111 |
| 50 | 733 | 161 | 414 | 159 | 315 | 104 |
Chronopotentiometry is a method used to investigate the stability, charge/discharge ability, and energy/power density. Fig. 7 shows the charge/discharge curves of the NiO electrodes with particle sizes of 8, 12, and 22 nm. Charge/discharge measurements were carried out at various current densities in 1 M KOH. The potential value reached the maximum for all the NiO samples while employing the different current densities. It was found that the charge/discharge time decreased and the potential values increased for all the samples with an increase in the current density. The nonlinear charge/discharge curves confirmed the pseudocapacitance behavior of the NiO NP electrodes, which was in close agreement with the CV results, including the presence of redox peaks.40
![]() | ||
| Fig. 7 (a–c) The chronopotentiometry curves of the NiO NPs with particle size of 8, 12, and 22 nm at different current density. | ||
The accessibility of ions through the porous channel of the electroactive material is vital for an efficient faradaic reaction mechanism. In addition, the particle size is an important parameter to maximize the faradaic contribution of the electroactive materials.41–44 Fig. 8(a and b) compares the charge/discharge curves of the NiO NP electrodes at low and high current densities under the same electrochemical conditions (current density 0.1 and 1 A g−1 & 1 M KOH). It can be seen that the structure of the NiO NP electrode affects the charge/discharge time and potential window.45 The results showed that the NiO electrode with an average size of 8 nm had a longer charge/discharge time than the other samples. This could be attributed to the smaller particle size and nano-flake structure, which rendered a higher specific surface area for the 8 nm NiO NP electrode.
The schematics in Fig. 8(c and d) explain the effect of the size and morphology on the ionic diffusion into the NiO electrodes. When the current density is low, the OH− ions have sufficient time to penetrate into the inner-pore surface of the NiO electrodes. This effect contributes to a lower resistance between the electrolyte/ions and the NiO structure. Fig. 8(a and b) shows the potential windows of the NiO NP electrodes, which are proportional to the current density. Fig. 8(c and d) shows the effects of the charge/discharge at lower and higher current densities toward the electrolyte ion concentration at the electrode/electrolyte interface.45 As seen, the ionic concentration at the electrode/electrolyte interface is proportional to the potential window in the supercapacitor.
The specific capacitances (Cs) of the NiO NP electrodes are calculated from the galvanostatic charge–discharge curves using eqn (6).
![]() | (6) |
Here, Cs is the specific capacitance of the NiO electrode (F g−1), I is the current (A), m is the mass of the NiO as the active material (g), ΔVif is the potential window (Vi to Vf), and Δt is the discharge time (s). The specific capacitance (Cs) values for the NiO electrodes with average sizes of 8, 12, and 22 nm are 379, 250, and 97 F g−1 at 0.1 A g−1 in 1 M KOH, respectively. Table 3 lists the specific capacitance values of the NiO NP electrodes at different current densities based on the charge/discharge curves. The results show that the NiO electrode with the average size of 8 nm also has the maximum discharge time for all the current densities. Therefore, it exhibits the highest specific capacitance for all the current densities in comparison to other electrodes (Table 3). These results are in good agreement with the capacitance behaviors obtained from the CV curves.
| Current density A g−1 | NiO NPs-8 nm | NiO NPs-12 nm | NiO NPs-22 nm | ||||||
|---|---|---|---|---|---|---|---|---|---|
| ΔV (mV) | Δt (s) | De (W h kg−1) | ΔV (mV) | Δt (s) | De (W h kg−1) | ΔV (mV) | Δt (s) | De (W h kg−1) | |
| 0.1 | 581 | 2200 | 17.8 | 593 | 1480 | 12.2 | 633 | 610 | 5.6 |
| 0.2 | 595 | 810 | 13.4 | 605 | 712 | 11.9 | 650 | 313 | 5.7 |
| 0.5 | 614 | 265 | 11.3 | 626 | 214 | 9.3 | 692 | 97 | 4.6 |
| 1.0 | 642 | 123 | 11.0 | 645 | 100 | 9.0 | 705 | 38 | 3.8 |
Based on the galvanostatic charge/discharge curves, the energy and power densities can be calculated using eqn (7) and (8), respectively, as follows:
| De = C(ΔV)2/2 | (7) |
| Dp = De/Δt | (8) |
Here, De is the energy density, C is the specific capacitance, ΔV is the potential discharge window, Dp is the power density, and Δt is the discharge time in the potential window. Fig. 10 shows the energy and power density values of the NiO NP electrodes at different current densities, based on the charge/discharge curves. The 8 nm NiO NPs exhibited the highest energy density and power density. The energy densities of the 8 nm NiO NPs were 17.8, 13.4, 11.3, and 11.0 W h (kg)−1 and the power densities were 29.1, 59.7, 153.6, and 321.7 W (kg)−1 at current densities of 0.1, 0.2, 0.5, and 1.0 A g−1, respectively. The Ragone plot result (Fig. 10) is in good agreement with those for similar previously reported systems.32,46 These results indicate that the 8 nm NiO NPs are more suitable for supercapacitor applications compared to the other samples because of the high accessibility of the OH− ions to the outer and inner pore surface at different current densities.
The impedance plots shown in Fig. 11 are divided into a high-frequency region (partial semicircle) and low-frequency region (straight slope line) with the transition between the two regions called the “knee frequency.” The internal resistance of the electrode materials, resistance of the electrolyte, and contact resistance between the electrode and current collector are factors that affect the capacitance. The diameter of the semicircle in the high-frequency region corresponds to the faradaic charge-transfer resistance (Rct).47 From Fig. 11, the charge-transfer resistance of the NiO NP electrodes are reciprocal to the particle size, in the following order: 22 < 12 < 8 nm (Fig. 11 inset). The low charge-transfer resistance is one of the reasons for the better crystallinity of the 22 nm NiO NP electrode with the macro-flake morphology compared to the other NiO electrodes.25 The Nyquist plot after the knee frequency has a straight line slope in the low-frequency region. For a resistor and capacitor in series, the Nyquist plot in the lower frequency range definitely shows a finite slope, which represents the diffusion resistance (Warburg impendence, W) of the electrolyte ion diffusion in the pore structure of the electrode materials. The diffusion line of the 22 nm NiO NPs indicates that the material has low diffusion resistance because of the highly open channel structure.
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