Poulami
Mukherjee‡
,
Vishwanath
R. S.‡
*,
Arie
Borenstein
and
Tomer
Zidki
*
Department of Chemical Sciences and the Center for Radical Reactions and Materials Research, Ariel University, Ariel, 4077625, Israel. E-mail: rs.vishwanath234@gmail.com; tomerzi@ariel.ac.il
First published on 13th January 2023
Supercapacitors (SCs) coupled with redox materials have been extensively investigated to maximize the energy density of SCs. Common metal–organic frameworks explicitly used for this purpose are Prussian blue analogs (PBAs). However, their low conductivity and number of external electroactive sites hinder their capacitance and reaction rate. Our work focuses on a material-level optimization strategy, including morphology modification and superstructure fabrication of PBA. We report the synthesis of Co–Co@Ni–Fe trimetallic core–shell PBA nanocubes containing an FeII/III redox couple in the Ni–Fe PBA shell over the conductive Co–Co PBA core. This complex underwent a reversible redox reaction and was further encapsulated in a polypyrrole (PPy) network as a redox additive to prepare a novel polymer-encapsulated double-PBA nanocube composite (Co–Co@Ni–Fe PBA–PPy). The composite exhibited a faradaic non-capacitive diffusion-dominated charge storage ability. It yielded an improved specific capacity of 318.1 C g−1 at 1 A g−1 with a capacity retention of 90% over 2000 cycles @15 A g−1. Furthermore, an asymmetric supercapacitor based on Co–Co@Ni–Fe PBA–PPy and activated carbon electrodes delivered a maximum energy density of 20 W h kg−1 at a power density of 808.9 W kg−1 within a 1.6 V voltage window. The electrochemical analysis demonstrated a considerable improvement in the charge-storage performance due to an increase in electron transfer, electrolyte diffusion, and electroactive area via strong electronic coupling between the Co–Co@Ni–Fe core–shell PBA and the PPy. Furthermore, this work helps to differentiate the composite's current contributions from the PBA and PPy. The detailed electrochemical characterization steps of these methods concerning redox additives integrated into conducting polymers are provided in this work.
Integrating active redox species and capacitive materials in one electrode is one of the most straightforward methods to maximize the energy density of SCs by preserving their power density and cyclic stability.3–5 However, such integration results in a hybrid energy storage system with the co-existence of faradaic, capacitive, or pseudocapacitive energy storage mechanisms.6,7 The possible co-existing mechanisms are mainly of three kinds: (1) the electric-double-layer (EDL) capacitance that arises from the electrostatic charge storage via a thin electron-ion partition layer at the electrode–electrolyte interface; (2) the faradaic capacitive (pseudocapacitive) charge storage by the non-diffusion-controlled reversible redox reactions at the electrode–electrolyte interface; and (3) the faradaic non-capacitive process by diffusion-controlled reversible redox reactions at the electrode–electrolyte interface or within the solid electrode (solid-state diffusion in battery electrodes).2,6,7 In this mixed regime, the kinetics study can only provide a rough differentiation between capacitive and diffusive current contributions to the energy storage mechanism.6
SCs are categorized as EDL capacitors and pseudo capacitors based on the energy storage mechanism. In EDL SCs, many carbon-based electrode materials, such as activated carbon (AC), carbon nanotubes, graphene, and carbon nanofibers, have been used.8–11,12 The capacitance is limited to EDL formation; hence the specific capacitance (Cs) is lower than that of the pseudocapacitive electrode materials.8 As a result, numerous pseudocapacitive compounds, including transition metal oxides, sulfides, phosphides, selenides, nitrides, and conducting polymers, are employed.8,13–15 Among them, porous crystalline metal–organic frameworks (MOFs) are mainly attractive due to their high surface area with open frameworks for insertion/desertion of ions to associate the faradaic redox reactions.
Accordingly, Prussian blue analogs (PBAs) are valuable materials due to their high surface area, 3D open framework, high charge-transfer kinetics, and high ionic conductivity required for hybrid SCs.4,16–20 On the other hand, most PBAs have low electrical conductivity, a short cycle life, and poor stability in alkaline and neutral solutions, preventing them from achieving the desired energy/power densities.21,22 Mainly, the electrochemical stability deteriorates with increasing cycles due to the rapid redox reactions at the electrode–electrolyte interface. Integrating PBAs with conducting polymers has been proposed as an effective way to overcome these challenges.4,16,20 The coated conducting polymers anchored on the PBA nanocubes serve as a protective layer to avoid electrode materials dissolution during cycling. Also, conducting polymers act as electronic conductors to improve the electrical conductivity of PBAs by forming a linkage between separated nanocubes. Furthermore, the synergistic effect of conducting polymers and multimetallic structures with redox reactions (pseudocapacitance) further improves the specific capacitance.4,23 Accordingly, electrode materials composited of PBAs and conducting polymers resulted in SCs with enhanced electrochemical performance corresponding to their constituents.4,23
Among various conducting polymers, polypyrrole (PPy) is commonly used for compositing due to its feasible preparation, high conductivity, and superior pseudocapacitance.24–26 Nevertheless, these good intrinsic properties depend on polymerization (chemical or electrochemical); compared to chemical oxidation, the electrochemical methods allow more control over coating thickness and morphology.24,27 In the electrochemical process, a solvent containing the pyrrole monomer is oxidized by the applied anodic potential on the electrode surface. Thus, the PPy properties rely on the solvent, supporting electrolyte, electropolymerization techniques, and substrate.24,27–29 The two main drawbacks that hinder the use of PPy in high-performance SCs are the lower practical capacitance (than theoretical capacitance) and the lack of cycling stability.15,30 Frequently, PPy-based electrodes retain <50% of their initial capacitance after 1000 cycles.31,32 Compositing using various materials, including carbon-based materials, metal oxides, metal–organic frameworks, and redox probes, can address these issues.15,30,31 In this work, we increased the cyclic stability of both the constituents (PBA and PPy) by PBA nanocubes deposition on carbon paper (CP) and completely enfolded them in the PPy network. Moreover, inert substrates, such as CP, are favorable over metals for electropolymerization since the oxidation potential of the pyrrole monomers is higher than that of oxidizable metals.29,33
Herein, we employed Co–Co PBA as a template for synthesizing well-defined Co–Co@Ni–Fe core–shell PBA nanocubes (Co–Co@Ni–Fe PBA). The rational integration of Fe, Co, and Ni in the hierarchical core–shell nanocubes played an essential role in manipulating the charge transfer capability and conductivity of the catalyst to achieve its activity. Later we electro-deposited PPy to enwrap the core–shell PBA nanocubes to increase the energy density, conductivity, and cyclic stability of the Co–Co@Ni–Fe PBA–PPy composite. This refinement in the electrochemical performance in the composite was assigned to an upsurge in electron transfer, electrolyte diffusion, and electroactive area through strong electronic coupling and interfacial phenomena between Co–Co@Ni–Fe core–shell PBA and PPy. However, including the redox behavior of the Co–Co@Ni–Fe core–shell PBA into PPy increased the complexity of determining the charge storage mechanisms. Our analysis roughly differentiated that around ∼93% of the Cs arrived from the diffusion-controlled inner capacitance and ∼7% from the non-diffusion-controlled outer-surface capacitance.
Fig. S3(a) and (b) (ESI†) show the HR-SEM and TEM images of the initial Co–Co PBA with a uniform particle size of around 300 nm. The HR-SEM image of PPy shows a net-like structure (Fig. 2(a)), but the magnified SEM image reveals a homogenous granular structure reminding one of cauliflower (Fig. 2(b)). The larger and smaller granules appear to form a dense, non-porous layer. Fig. 2(c) depicts the PPy enveloped core–shell PBA nanocubes. The cauliflower-like arrangement on the nanocubes’ surface in the composite is highlighted in Fig. 2(d). Roughness, a critical physical-chemical surface property, increased implicitly with polymerization, which benefits the electrode/electrolyte contact (Fig. 2(d)).
Powder X-ray diffraction (XRD) analysis validated the effective production of Co–Co PBA nano-cubes (Fig. S3c, ESI†). The prominent peaks suggest that the nanocubes created exhibited excellent crystallinity and could be indexed to Co3[Co(CN)6]2 (JCPDS no. 77-1161).43 The diffraction peaks of the core–shell PBA relocated at slightly low angles due to the Ni–Fe PBA shell formation compared to the Co–Co PBA core (Fig. 1(e)). The crystalline nature of the nanocubes proved advantageous because faster ion diffusion and a greater depth could be achieved in well-crystalline PBAs with smaller dimensions and a higher specific surface area.44 With a higher Ni content, the atomic ratio of Ni/Fe was proven to be 1.2 in the EDX spectrum (Fig. S4, ESI†). Co, as the core element, accounted for 80% of the total composition of the core–shell nanocube. The ICP results were consistent with the EDX study, which showed that the Ni/Fe ratio for Co–Co@Ni–Fe PBA was 1.5 (Table S1, ESI†), i.e., the theoretical ratio for Ni–Fe PBA. We performed Fourier transform infrared (FTIR) spectroscopy to characterize the chemical composition of PPy, Co–Co@Ni–Fe PBA, and the Co–Co@Ni–Fe PBA–PPy composite (Fig. S5, ESI†). The detailed study is provided in the ESI.† Fig. S6 (ESI†) shows the thermal gravimetric analysis (TGA) plot for the Co–Co@Ni–Fe PBA–PPy composite deposited on the CP substrate.
X-ray photoelectron spectroscopy (XPS) analysis of core–shell PBA, PPy, and Co–Co@Ni–Fe PBA–PPy composite was performed to characterize the chemical composition and element valence states. In the high-resolution spectra, Fig. 3(b)–(d) and Fig. S7, S8b–d, and S9b, c (ESI†), the black and red colors stand for experimental and fitting data, respectively, and the other colors for deconvoluted data. Fig. 3(a) and Fig. S8a (ESI†) confirm the presence of Ni, Co, Fe, O, N, and C in the Co–Co@Ni–Fe PBA–PPy composite and core–shell PBA, respectively. It is worth noting that the peak intensities of O, C, and N increased in the PBA–PPy composite compared with core–shell PBA, indicating the successful polymerization of PPy over core–shell PBA (compare Fig. 3(a) and Fig. S8a, ESI†). In the high-resolution Co 2p spectrum, the binding energies (BE) at 785.3 eV and 798.6 eV corresponded to the Co 2p3/2 and Co 2p1/2 of Co2+ (Fig. 3(b)).45,46 These peaks were upshifted compared to core–shell PBA nanocubes (Fig. S8b, ESI†). The peak at 789.3 eV was attributed to a satellite of Co2+.47 The prominent Ni 2p3/2 peak at 856.5 eV belonged to Ni2+, which was downshifted with respect to core–shell PBA. The other peaks at 858.4 eV and 863.4 eV were satellite peaks (Fig. 3(c)).48 The peak at 874.4 eV of Ni 2p1/2 was attributed to NiOOH (Ni 2p1/2 at 875.6 eV for core–shell PBA, Fig. S8c, ESI†).49 The presence of oxygen causes the formation of Ni(OH)2, which may be electrochemically oxidized to NiOOH by the presence of Co.50 It is known that NiOOH is much more conductive than Ni(OH)2, and its conductivity can be significantly increased by the presence of Fe.50 Therefore, the formation of NiOOH in the Co–Co@Ni–Fe PBA–PPy composite can further increase the conductivity of the catalyst. In the high-resolution Fe 2p spectrum (Fig. 3(d)), the BE peaks at 710.2 eV and 723.6 eV corresponded to Fe 2p3/2 and Fe 2p1/2 of Fe2+, respectively.51 The peak at 712.1 eV was ascribed to Fe 2p3/2, representing Fe3+.52 All the Fe peaks also shifted towards higher BEs with respect to Co–Co@Ni–Fe core–shell PBA. Hence, the iron in the Ni–Fe PBA was present in mixed oxidation states of Fe2+ and Fe3+ as both Ni2+–CN–Fe3+ and Ni2+–CN–Fe2+. The Ni2+–CN–Fe2+ sites were mainly located at the surfaces of the nanocubes, while the Ni2+–CN–Fe3+ were at the body center.17 Since XPS is a surface analysis, we mainly saw the Fe2+ peaks, not Fe3+. The BE shifts of Co, Fe, and Ni in the Co–Co@Ni–Fe PBA–PPy composite relative to core–shell PBA implied synergistic electronic interactions between Fe, Co, and Ni atoms due to the Ppy deposition in the Co–Co@Ni–Fe PBA–PPy composite. The deconvoluted N 1s spectrum showed three peaks at 399.9, 401.4, and 402.4 eV, belonging to C–N or CN, C
N, and N–O bonds, respectively (Fig. S7, ESI†).53 The oxidation states and electronic environment of all the elements of core–shell PBA and PPy are shown in Fig. S8 and S9 (ESI†).
![]() | ||
Fig. 3 (a) XPS survey spectrum of the Co–Co@Ni–Fe PBA–PPy composite; high-resolution XPS spectra of (b) Co 2p; (c) Ni 2p; (d) Fe 2p. |
After the electropolymerization of PPy on Co–Co@Ni–Fe core–shell PBA, the CV curves of the Co–Co@Ni–Fe PBA–PPy composite depicted redox peaks between 0 to 0.7 V due to faradaic FeII/III redox reactions (Fig. 4(c)). The CV curve area increased with the scan rates, and the ratio of the anodic peak current to the cathodic peak current was almost identical. Also, the CV shapes were retained at the higher scan rates showing the faster charge/discharge rates supported by PPy conducting polymer. The order-of-magnitude increase in CV current for the Co–Co@Ni–Fe PBA–PPy composite compared to Co–Co@Ni–Fe core–shell PBA revealed the high conductivity, enhanced electron transport, and charge–discharge rates due to the synergistic effect of PBA and PPy constituents. The polymerization of PPy in the spaces between the PBA nanocube layers provided improved conductivity, interfacial effects, and electrolyte diffusion. The linear dependence of the peak currents as a function of the scan rate's square root was retained even after the PPy deposition. The linear curve intercepts close to the origin ensured the FeII/III reversible redox couple was diffusion-controlled and followed the Randles–Sevcik equation (Fig. 4(d)).
According to Lindström et al.,54 the power-law (i = aνb) relates to the non-diffusion-limited capacitive/pseudocapacitive and diffusion-limited faradaic current contribution of the redox peaks by the relationship between the peak current response (i) with its corresponding scan rate (ν). The b is the exponential component (slope) obtained from the plot of log (peak current) vs. log (scan rate); b = 0.5 for the diffusion-dominated charge storage phenomenon, and b = 1 for the capacitive type charge-storage process. The transition range from 0.5 to 1 indicates the change from the diffusion-controlled reaction to the capacitive type (surface-controlled reaction).5,16,55,56
From Fig. 5(a), the derived b values of the Co–Co@Ni–Fe PBA–PPy composite were 0.6443 and 0.6440, corresponding to the anodic and cathodic peaks, respectively, showing the co-existence of capacitive and diffusion-controlled contributions to the energy storage mechanism. In this mixed regime, the current was regulated by diffusion and electrochemical redox reaction rate. However, the b values are close to 0.5, indicating that the diffusion-controlled charge-storage process was dominant. The concentration gradient could arise within the aqueous electrolyte at the electrode–electrolyte interface and inside the solid composite electrode. Additionally, Trasatti's analysis was used to quantify the contribution of capacitive and diffusive currents to the total capacitance value.54,57–61 According to this approach, the total charge (qT) is the sum of the diffusion-controlled inner (qi) and non-diffusion-controlled outer surface charge (qo); by dividing the charge with the CV potential window, total capacitance (CT), diffusion-controlled inner capacitance (Ci), and non-diffusion controlled outer-surface capacitance (Co) can be determined.54,62,63 The CT equals the reciprocal y-intercept of the Cs−1vs. ν1/2 plot (Fig. S11a, ESI†), and Co is equal to the y-intercept of the Csvs. ν−1/2 plot (Fig. S11b, ESI†). The subtraction of Co from CT gives the maximum diffusion-controlled inner capacitance (Ci). Over ∼92.9% of the Co–Co@Ni–Fe PBA–PPy composite's Cs came from the diffusion-controlled inner capacitance contribution, and the remaining ∼7.1% from the non-diffusion controlled outer-surface capacitance. All the electrode–electrolyte interfaces formed the EDL. In faradaic energy storage systems, EDL capacitance does not contribute significantly; hence it can be neglected.7
In the case of bare PPy, the CVs seemed nearly quasi-rectangular when scanned up to 0.8 V at different scan rates (Fig. S12a, ESI†). The CV integral area increased with the scan rate; however, this behavior diminished when scanned up to 1.0 V (Fig. S12b, ESI†). PPy underwent irreversible oxidative degradation in aqueous solutions at higher oxidation potentials, resulting in a loss of electrochemical activity, conjugation, and conductivity.64–66 Hence, the gradual decrease in current with subsequent scan rate increase (5 to 120 mV s−1) was observed in a wider potential window (−0.4 to 1 V). In contrast, the Co–Co@Ni–Fe PBA–PPy composite did not show a decrease in the peak current with the scan rate in the wider potential window (up to 1.0 V in Fig. 4(c)). Still, for further galvanostatic charge–discharge (GCD) measurements, the potential range was limited between −0.4 to 0.8 V to avoid partial/overoxidation of PPy. GCD measurements were carried out at different current densities to estimate the Cs of Co–Co@Ni–Fe PBA–PPy composite (Fig. 5(b)), Co–Co@Ni–Fe core–shell PBA (Fig. S13a, ESI†), and PPy electrodes (Fig. S13b, ESI†), using eqn (S2) (ESI†). As shown in Fig. 5(b), the discharge curve of the composite had two regions; the first region (0.8 to 0.4 V) was designated for the linear discharge, including the iR-drop that discharged the charge near the surface. Similar behavior was seen with the PBA core–shell nanocubes (Fig. S13a, ESI†). Conversely, the second region, from 0.4 to −0.4 V, was assigned to the extended discharge curve, where the diffusion-limited de-intercalation of the ions from the Co–Co@Ni–Fe PBA–PPy composite dominates. Fig. 5(c) shows that the Co–Co@Ni–Fe PBA–PPy composite showed the best performance, and the calculated Cs values were 265, 258, 251, 245, 239, 236, 233, and 225 F g−1 at the current densities 1, 2, 3, 4, 5, 6, 7, and 8 A g−1, respectively. For PPy, the values are 183, 168, 159, 148, 143, 141, 135, and 133 F g−1, and Co–Co@Ni–Fe core–shell PBA were 38, 20, 14, 12, 10, 9, 8.4, and 8 F g−1 (Fig. 5(c)), at identical current densities. The Cs of all materials decreased with an increase in the current density because the electrolyte ions did not get adequate time to diffuse inside the material. Note that the Co–Co@Ni–Fe PBA–PPy and Co–Co@Ni–Fe PBA exhibit battery-type behavior, so their electrochemical performance can be compared and presented in terms of specific capacity (Qs, C g−1). The Qs values of Co–Co@Ni–Fe PBA–PPy were 318.1, 308.3, 301.7, 295.1, 287.6, 285.7, 284.1, and 271 C g−1 at current densities of 1, 2, 3, 4, 5, 6, 7, and 8 A g−1, respectively. In contrast, the Qs of Co–Co@Ni–Fe PBA were 46.5, 24.9, 17.5, 14.5, 12.6, 11.3, 10, and 9.6 C g−1 at the same current densities as Co–Co@Ni–Fe PBA–PPy. Furthermore, the estimated Cs value of Co–Co@Ni–Fe PBA–PPy was compared with other reported PBA-based electrodes in Table S2 (ESI†). Fig. 5(d) exhibits the Nyquist plots with the inset of the fitted equivalent circuit model. Rs is the equivalent series resistance arising from the combined resistance of the electrolyte, active material, current collector, and the contact between the active material and current collector. In the high-frequency region, the Co–Co@Ni–Fe PBA–PPy composite showed a negligible increase in the Rs value compared to the Co@Ni–Fe core–shell PBA (Table S3, ESI†). The semicircle diameter near the high-to-medium frequency area presented the charge-transfer resistance (Rct) across the electrode/electrolyte interface, and the inclined slope at the low-frequency part confines the Warburg diffusion resistance (W), which emerged due to the frequency-dependent ion diffusion inside the electrolyte and the electrode composite material. The lower Rct value and the high slope (plot shift towards the −Z′′) for Co–Co@Ni–Fe PBA–PPy composite indicated the fast charge transfer rate at the electrode/electrolyte interface and effective ions diffusion (Table S3, ESI†). The EIS study revealed that PPy deposition on core–shell PBA significantly enhanced the conductivity and ion diffusion, which set the superior capacitive performance of the Co–Co@Ni–Fe PBA–PPy composite. Fig. S14 (ESI†) depicts the cyclic stability test of the PBA–PPy composite performed over 3000 charge–discharge cycles at a current density of 15 A g−1. The Co–Co@Ni–Fe PBA–PPy composite demonstrated excellent cycling stability over 2000 cycles with a 90% capacity retention; the capacitance dropped to 71.4% after 3000 cycles. This rapid decline was primarily due to the loss of active capacitive sites of the composite, either redox sites of Co–Co@Ni–Fe core–shell PBA or degradation of the PPy network by swelling and shrinking upon cycling. The Co–Co@Ni–Fe PBA–PPy composite's HR-SEM images are depicted in Fig. S15a and b (ESI†), and they indicate some structural alteration that may be responsible for the modest reduction in activity after 3000 cycles.
To assess the practical utility of the Co–Co@Ni–Fe PBA–PPy composite, an asymmetric supercapacitor (ASC) device (denoted Co–Co@Ni–Fe PBA–PPy//AC) was assembled using Co–Co@Ni–Fe PBA–PPy as a positive electrode and AC as a negative electrode. The fabrication procedure is given in the electrochemical measurements section (in the the ESI†). Before the device assembly evaluation, electrochemical measurements of AC were conducted in the similar three-electrode configuration used for Co–Co@Ni–Fe PBA–PPy (Fig. S16, ESI†), and the comparison CVs are depicted in Fig. 6(a). The charge/mass balance between positive and negative electrodes was assessed following eqn (S4) (ESI†) to be 0.75. The predicted operating potential window of the Co–Co@Ni–Fe PBA–PPy//AC device was 2.0 V, ascribed to the combined potential window of the positive and negative electrodes. However, the CVs were scanned up to 1.6 V (Fig. 6(b)) to avoid electrolyte decomposition and oxidative degradation of PPy at 1.7 V, suggesting that the stable potential window of the device is up to 1.6 V. Fig. 6(b) illustrates the CV curves of the ASC device at different scan rates; the anodic peaks were visible with less distinguishable cathodic peaks. This trend was almost retained with increasing scan rates, indicating the good electrochemical reversibility associated with the fast charge/discharge properties.
![]() | ||
Fig. 6 (a) CV curves of AC and Co–Co@Ni–Fe PBA–PPy composite at 40 mV s−1 in 1.0 M Na2SO4. (b) CV curves, (c) GCD curves, and (d) Ragone plot of the Co–Co@Ni–Fe PBA–PPy//AC device. |
Nevertheless, both anodic and cathodic peaks were visible only when a symmetric SC cell configuration was formed by taking positive and negative electrodes containing an equal amount of Co–Co@Ni–Fe PBA–PPy (Fig. S17, ESI†). Based on the GCD curves of the ASC device at various current densities (Fig. 6(c)), the Qs values were 90, 67, 61.9, 45.6, 44.5, 40.2, and 31.5 C g−1 at current densities of 1, 2, 3, 4, 5, 6, and 7 A g−1, respectively. The long-term stability of the device showed 79% capacity retention at 10 A g−1 over 2000 cycles (Fig. S18, ESI†), indicating good cyclic stability. Moreover, the energy density and power density of the ASC device are estimated using eqn (S5) and (S6) (ESI†), and the relationship between them is shown in the Ragone plot (Fig. 6(d)). The device delivered a high energy density of 20 W h kg−1 at a power density of 808.9 W kg−1 and maintained 7.0 W h kg −1 at a higher power density of 1996.1 W kg−1. The estimated energy and power density were compared with other PBA composite-based ASC devices in the reported literature (Table S4, ESI†).
Footnotes |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d2qm01162j |
‡ These authors contributed equally. |
This journal is © the Partner Organisations 2023 |