Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Metal oxide heterostructures as multifunctional electrode materials for battery-type supercapacitors and oxygen evolution reactions

Urooj Ashfaq a, Muhammad Nasir Hussainab, Abdul Naveeda, Irsa Tariq*ac, Muhammad Adil Mansoord, Sedat Yaşarb, Talha Nisaref, Veit Wagnere, Amin Badshah*ag and Ali Haider*ag
aDepartment of Chemistry, Quaid-i-Azam University, Islamabad, 45320, Pakistan. E-mail: irsatariq@chem.qau.edu.pk; aminbadshah@qau.edu.pk; ahaider@qau.edu.pk
bİnönü University, Faculty of Science and Art, Department of Chemistry, 44280, Malatya, Türkiye
cSchool of Materials Science and Engineering, Anhui University, Hefei, Anhui 230601, PR China
dDepartment of Chemistry, School of Natural Sciences (SNS), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan
eSchool of Science, Constructor University, Campus Ring 1, 28759, Bremen, Germany
fKarlsruhe Institute of Technology (KIT), Institute for Applied Materials (IAM), Karlsruhe 76131, Germany
gPakistan Academy of Sciences, 3-Constitution Avenue, Sector G-5/2, Islamabad 44000, Pakistan

Received 29th December 2025 , Accepted 20th March 2026

First published on 30th March 2026


Abstract

This study demonstrates the successful synthesis of pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructures for investigating their electrochemical energy storage and electrocatalytic performance. Among all the fabricated electrodes for battery-type supercapacitors, the Bi2O3/Co3O4 heterostructure exhibits a maximum specific capacitance of 2998 F g−1 at 1 A g−1 due to the synergistic interaction between the pristine Bi2O3 and Co3O4 nanoparticles. Furthermore, the Bi2O3/Co3O4 heterostructure was employed as an asymmetric supercapacitor device with a specific capacitance of 237 F g−1 at 2 A g−1. The device exhibited a remarkable energy density of 32.97 Wh kg−1 at a power density of 0.333 kW kg−1. Additionally, the Bi2O3/Co3O4 catalyst displayed increased oxygen evolution reaction rates result in both alkaline and neutral media with very low overpotentials of 464 mV and 153 mV at current densities of 50 mA cm−2 and 10 mA cm−2, respectively. The values of Tafel slope, electrochemical surface area, and charge-transfer resistance confirmed the fast electrode kinetics and high density of active sites. The fabricated electrode exhibited long-term stability when tested for 24 hours under chronoamperometry. These findings indicate that the Bi2O3/Co3O4 heterostructure is an attractive electrode material for energy storage and generation applications.


Introduction

The growing demand for clean energy and the intermittent nature of renewable energy sources have sparked huge efforts to develop sustainable energy storage devices with high performance.1–6 Of all the energy storage devices, supercapacitors have been considered as appealing candidates due to their fast charging capacity, high power density, and long cycle. Moreover, supercapacitors bridge the gap between conventional capacitors and batteries.7–9 However, the low energy density of supercapacitors compared to those of batteries is a challenge that needs to be addressed.10,11 Supercapacitors store charge through two different mechanisms depending on the type of electrode materials employed to fabricate the device. First, carbon-based materials store charge through the development of electrical double-layer capacitance (EDLC) at the electrode–electrolyte interface. Second, metal oxides store charge through the faradaic phenomenon.1,12 Therefore, an electrode material with exceptional electrochemical characteristics is crucial to achieve enhanced performance of supercapacitor devices. Numerous metal oxides including Co3O4, Bi2O3, NiO, RuO2, MnO2, TiO2, and V2O5 are promising electrode materials for supercapacitor applications.13–20 Metal oxides have huge potential for supercapacitors with high specific capacitance, but their poor charge–discharge rates and low cyclic stability limit their practical applications. This limitation can be overcome by employing various strategies, including structural modification or composite fabrication with other materials.21

Co3O4 is a promising pseudocapacitive electrode material that is used widely in supercapacitors with low environmental impact and excellent theoretical capacitance.22,23 The various morphologies of Co3O4 play an important role in the enhancement of capacitance.24,25 Despite these efforts, Co3O4 suffers from low capacitance because of the limited availability of surface area and sluggish interfacial reaction kinetics. Additionally, the formation of Co3O4-based composites with other materials, such as layered double hydroxides, metal oxides, carbonaceous materials, and conducting polymers, can significantly enhance the electrochemical performance by improving conductivity and facilitating charge-transfer kinetics.26–28 These approaches demonstrate the potential of Co3O4-based materials for high-performance supercapacitors when integrated with other materials.29,30 Additionally, Bi2O3 has emerged as an excellent electrode material that can be used to make a composite with Co3O4 due to its high conductivity, cost-effectiveness, environmental friendliness, and various oxidation states.31,32 The excellent storage capacity of Bi2O3 is attributed to the existence of a faradaic redox transition between Bi3+ and Bi0.33,34 The Bi2O3/Co3O4 heterostructure has gained much interest for electrochemical energy storage because of its combined effect. The synergistic effect of the Bi2O3/Co3O4 heterostructure leads to excellent performance and stability compared to those of the individual components. The excellent performance of composite materials is attributed to their high surface area, high conductivity, and fast charge transfer in the composite material.35,36 However, the Bi2O3/Co3O4 heterostructure has also been employed as a promising bifunctional electrocatalyst for the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) in overall water splitting. The composite has a modulated electronic structure compared to the individual parts, which increases the density of states at the Fermi level and lowers the rate determining step, reducing the overpotential and improving the charge-transfer kinetics. The synergistic effect between Co3O4 and Bi2O3 enhances the adsorption energies of oxygen and hydrogen species, promoting efficient reaction kinetics for OER and HER, respectively. This bifunctional characteristic makes the composite an appealing and cost-effective alternative candidate to noble metal-based electrocatalysts for water splitting.37–40

In this paper, we report the successful development of a multifunctional Bi2O3/Co3O4 heterostructure via the facile physical mixing of Bi2O3 and Co3O4 nanoparticles. The choice of physical mixing techniques has an advantage over chemicals because it provides direct interfacial contact between the pristine components, which promotes fast charge transfer, maintains independent redox-active sites, improves ion diffusion via the existence of high porosity, and provides a stable electroactive framework. Therefore, the composite delivered the highest specific capacitance and promising performance using the asymmetric device, making it a suitable material for energy storage systems. However, the excellent OER performance in alkaline and neutral electrolytes with high stability and low overpotential values revealed the potential for a robust and cost-effective bifunctional electrocatalyst. These features stand out in the Bi2O3/Co3O4 heterostructure, which is a strong candidate for hybrid energy storage and generation devices to promote efficient and clean energy solutions.

Experimental section

Materials

Bismuth(III) nitrate pentahydrate (Bi(NO3)3·5H2O, ≥98.0%), cobalt(II) nitrate hexahydrate (Co(NO3)2·6H2O, ≥98%), sodium sulfate (Na2SO4, ≥99.0%), sodium hydroxide (NaOH, ≥97.0%), ammonium hydroxide (NH4OH, 32.0% NH3 basis), ethanol (CH3CH2OH, ≥95.0%), polyvinyl alcohol [(C2H4O)n, ≥99%], potassium hydroxide (KOH, ≥99.95%), carbon black (C, ≥99%), polyvinylidene fluoride (PVDF, ≥99%), and N-methyl-2-pyrrolidone (NMP, ≥99.7%) were purchased from Sigma Aldrich (USA) and used as received without further purification.

Synthesis of pristine Bi2O3, Co3O4 and Bi2O3/Co3O4 heterostructure

In a typical synthesis of Bi2O3 nanoparticles, a mixture of 25 mL of Bi(NO3)3·5H2O and Na2SO4 was stirred under standard conditions. To this, 25 mL of NaOH solution was added, and the mixture was transferred to a Teflon-lined stainless-steel autoclave. The temperature was maintained at 120 °C for 2 hours. After that, the mixture was cooled to room temperature, and the yellow precipitate was collected via filtration. The precipitate was washed several times with water and ethanol and dried at 70 °C.41 However, Co3O4 nanoparticles were prepared using the co-precipitation technique. The 60 mL of Co(NO3)2·5H2O aqueous solution was mixed with 10 mL of NH4OH (32%), and the pH of the solution was maintained at 11. The temperature of the mixture was increased to 80 °C for 1 hour and then cooled down to room temperature.42 Finally, the mixture was centrifuged and annealed at 700 °C for 4 hours to obtain Co3O4 nanoparticles. The Bi2O3/Co3O4 heterostructure was obtained by physically mixing the already prepared solutions, where 10 mL solutions of each Bi2O3 and Co3O4 nanoparticle were separately sonicated for 30 minutes. Both solutions were mixed and ultrasonicated for 1 hour. The resulting mixture was centrifuged and dried to obtain the Bi2O3/Co3O4 heterostructure. A schematic illustration of the synthesis of the heterostructure is shown in Fig. 1.
image file: d5na01181g-f1.tif
Fig. 1 Schematic of the synthesis of the Bi2O3/Co3O4 heterostructure.

Preparation of the polymer gel electrolyte

The PVA/KOH gel was employed as an electrolyte during the fabrication of an asymmetric supercapacitor (ASC). The electrolyte was synthesized using a solution chemistry method. In a typical synthesis, 1.5 g of PVA was mixed with 20 mL of distilled water and heated at 90 °C until the solution color reached a transparent and uniform viscous. Subsequently, the solution was cooled to room temperature, and 2 g of KOH dissolved in 10 mL of solvent was added, followed by stirring for 2 hours under ambient conditions. The obtained adhesive solution was transferred into a Petri dish and left for 24 hours for spontaneous drying.

Electrode fabrication for supercapacitor investigation

The electrode was fabricated using an active material deposited on nickel foam (NF) using the drop casting method. First, the nickel foam was activated by washing it with acetone, 3 M H2SO4, water and ethanol. A mixture of active material, conductive carbon, and PVF in a ratio of 8[thin space (1/6-em)]:[thin space (1/6-em)]1[thin space (1/6-em)]:[thin space (1/6-em)]1 was dispersed in NMP to prepare the slurry. The slurry was deposited on nickel foam with dimensions of 1 × 1 cm2 and dried at 70 °C for 12 hours. The deposited mass on the nickel foam was approximately 1 mg ± 5%. All the electrochemical measurements were carried out using the Gamry workstation (Interface 101E). The specific capacitance was measured using eqn (1):43
 
image file: d5na01181g-t1.tif(1)
where Csp is in F g−1, I denotes the current (A), m is the mass in grams, Δt is the discharge time in seconds, and ΔV is the potential window in volts.

Electrode fabrication for OER investigation

OER investigations were performed in alkaline and neutral media using 1 M KOH and 1 M sodium phosphate buffer (PBS) as electrolytes. Bi2O3, Co3O4, and Bi2O3/Co3O4 are used as working electrodes, platinum sheets as counter electrodes, and Ag/AgCl as reference electrodes. Linear sweep voltammetry (LSV) was employed to measure the OER activity. All measurements were iR-compensated and converted against a reversible hydrogen electrode (RHE) using the following Nernst equation:
 
ERHE = EAg/AgCl + 0.0591 × pH + 0.1976. (2)

Cyclic voltammetry (CV) was performed in the non-faradaic region at scan rates ranging from 50 to 250 mV s−1 to estimate the electrochemical double-layer capacitance (Cdl). Stability tests were conducted via chronoamperometry at a constant potential of 50 mA cm−2 (basic pH) and 10 mA cm−2 (neutral pH) for 24 hours. Electrochemical impedance spectroscopy (EIS) was performed in the frequency range of 0.1–105 Hz with an alternative current (AC) amplitude of 10 mV.

Physical characterization

X-ray diffraction (XRD) spectra were obtained by employing a PANalytical X′pert diffractometer with Cu-Kα radiation (λ = 1.54 Å) over an angle range from 10° to 70°. The oxidation state of each element in the samples was determined by X-ray photoelectron spectroscopy (XPS) analysis using a PHI 5000 VersaProbe instrument. Scanning electron microscopy (SEM) images were recorded using an FEI NOVA SEM-450 instrument, and the composition was determined using an X-ray energy dispersive (EDX) (INCAX-Act) spectrometer.

Results and discussion

The phase purities of the as-synthesized Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructures were determined using XRD, as shown in Fig. 2(a). The intense peaks in the XRD spectra indicate the crystalline nature of the nanomaterials. For Bi2O3, all the diffraction peaks matched well with the monoclinic phase (α) and JCPDS: 65-2366. There is no extra peak, which suggests that the material is indeed a single phase. For Co3O4, the peaks assigned to the crystal planes of (311), (400), (511), and (440) align with the face-centered cubic structure, corresponding to JCPDS: 42-1467. The presence of all peaks for Bi2O3 and Co3O4 confirmed the successful formation of the heterostructure, with no impurity peaks. The XPS analysis was carried out to find the exact oxidation state of each element present in the Bi2O3/Co3O4 heterostructure. The survey spectrum of the Bi2O3/Co3O4 heterostructure contains photoelectron and Auger peaks, which correspond to cobalt, oxygen, bismuth, and carbon, as shown in Fig. 2(b). The +3-oxidation state of Bi is confirmed in Bi2O3 by the binding energies of 160.8 and 166.2 eV for Bi 4f7/2 and 4f5/2, respectively, as Bi 4f indicates a doublet,44 as presented in Fig. 2(c). The XPS spectrum of Co 2p demonstrates two peaks at binding energies of 779.9 and 795.1 eV, as shown in Fig. 2(d). The spin–orbit doublet 2p peaks are assigned to the tetrahedral and octahedral forms of Co2+ and Co3+ of the Bi2O3/Co3O4 heterostructure. The presence of satellite peaks in the higher binding energy regions of 2p3/2 and 2p1/2 confirmed the co-existence of Co(II) and Co(III) at the surface of the material, respectively. The binding energy difference of 15.2 eV is consistent with 2p3/2 and 2p1/2.45
image file: d5na01181g-f2.tif
Fig. 2 (a) XRD spectra of thebBi2O3 (black), Co3O4 (red), and Bi2O3/Co3O4 (blue) heterostructures. XPS spectra of the Bi2O3/Co3O4 heterostructure: (b) survey scan, (c) Bi 4f, and (d) Co 2p.

The surface morphology of the prepared Bi2O3/Co3O4 heterostructure was investigated using SEM. SEM images of the Bi2O3/Co3O4 composite at different resolutions are shown in Fig. 3(a)–(c). The Bi2O3 has a flat rod shape, while Co3O4 exhibits spherical morphology with some agglomeration behaviors. EDX was performed to determine the elemental composition of each element in the Bi2O3/Co3O4 heterostructure. The EDX spectrum of the composite contains the peaks of Co, Bi, O, and C with no impurity peaks, which confirms the purity of the prepared material, as presented in Fig. S1. Moreover, the elemental mapping of the Bi2O3/Co3O4 heterostructure was conducted, indicating the homogeneous distribution of elements in the sample. The combined mapping image with each element image is illustrated in Fig. 3(d).


image file: d5na01181g-f3.tif
Fig. 3 SEM images at different magnifications: (a)–(c) Bi2O3/Co3O4 composite, and (d) elemental mappings of the Bi2O3/Co3O4 heterostructure.

Electrochemical measurements

Electrochemical measurements of pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructure materials were conducted to investigate their potential for supercapacitors. The comparative CV profiles of all the prepared materials conducted at 10 mV s−1 in 5 M KOH are depicted in Fig. S2. The cyclic voltammetry (CV) profiles for pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructure at various scan rates range from 10 to 100 mV s−1 in a potential window of −0.2 to 0.6 V by employing a 5 M KOH electrolyte, as shown in Fig. 4(a–c). The presence of a reversible redox pair contributes to the faradaic reaction that occurs at the surface of the electrode–electrolyte interface. A slight change in the redox peak position is observed, which can be due to an ion diffusion phenomenon and cause electrode polarization. The increase in peak current with an increase in scan rate indicated electron and ion transfer at the electrode. The Bi2O3/Co3O4 heterostructure demonstrates more storage capacity than the individual materials, as observed from the comparative CV profiles. This superior performance of the Bi2O3/Co3O4 heterostructure can be attributed to synergistic interfacial interactions between Bi2O3 and Co3O4. The formation of the heterojunction induces interfacial charge redistribution and a built-in electric field, which promotes faster electron transfer.46 Simultaneously, strong Bi–O–Co electronic coupling and orbital hybridization modulate the electronic structure and optimize reaction kinetics. The mixed-valence nature of Bi2O3/Co3O4 provides redox buffering that stabilizes the Bi active sites during cycling, while the lattice mismatch at the interface introduces defects and oxygen vacancies that create additional electroactive centers. Together, these effects enhance charge-transfer kinetics and structural stability, thereby confirming the observed synergistic behavior.47,48 Storage mechanisms based on plausible redox reactions49,50 are presented using eqn (3) and (4).
 
Bi2O3 + 6OH ⇔ 2BiO3 + 3H2O + 2e (3)
 
Co3O4 + OH + H2O ⇔ 3CoOOH + e (4)

image file: d5na01181g-f4.tif
Fig. 4 CV profiles: (a) Bi2O3, (b) Co3O4, and (c) Bi2O3/Co3O4 heterostructure; GCD profiles: (d) Bi2O3, (e) Co3O4, and (f) Bi2O3/Co3O4 heterostructure; (g) EIS profiles of the synthesized nanomaterials; (h) current density vs. specific capacitance; and (i) Ragone plots.

The galvanostatic charge–discharge (GCD) analysis was carried out for pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructure in a potential window of 0–0.45 V at various current densities ranging from 1 to 10 A g−1. The GCD profiles of all materials were conducted at different current densities in 5 M KOH, as shown in Fig. 4(d)–(f). The GCD profile shows a non-linear triangular shape, which is battery-type behaviour.51 The presence of distinct redox plateaus suggests diffusion-influenced charge storage associated with reversible transition metal redox couples, which is characteristic of battery-type electrodes.52 Among all the electrodes, the Bi2O3/Co3O4 heterostructure has the longest discharge time at all current densities compared to the pristine Bi2O3 and Co3O4 nanoparticles. The maximum specific capacitance delivered by the Bi2O3/Co3O4 heterostructure is 2998 F g−1 at 1 A g−1, which outperforms pristine materials. The excellent capacitance performance of the composite is attributed to the synergy exhibited between all components. Synergy improves numerous electrochemical parameters, such as electroactive surface area, electrical conductivity, ion diffusion paths, and complete utilization of redox-active species. Moreover, an increase in current density causes a gradual decrease in discharge time, which results in a reduction in specific capacitance. This trend arises at high current rates, where OH ions do not have enough time to permeate the inner active regions of the electrode, resulting in the partial utilization of active sites. However, heterostructure electrodes still demonstrate excellent rate capability in comparison to pristine counterparts, indicating robust and stable redox kinetics at high charge–discharge rates. These results indicate the strong potential of the Bi2O3/Co3O4 heterostructure for supercapacitor applications. A performance comparison of the Bi2O3/Co3O4 heterostructure with various reports is presented in Table S1. Different potential windows have been employed in CV and GCD analyses to avoid water splitting during the charging process.53

Nyquist plots were recorded for all fabricated electrodes over a frequency range of 0.1 Hz to 100 kHz, as depicted in Fig. 4(g). The depressed semicircle in the high frequency region reflects non-ideal charge-transfer behavior and surface heterogeneity, which is typically indicated using a constant phase element (CPE) rather than an ideal capacitor. In the low-frequency region, the line angle is less than 90° (i.e., deviating from a vertical capacitive line), indicating that the system does not exhibit purely ideal capacitive behavior. Instead, the slanted line suggests diffusion ion transport (Warburg impedance), which is characteristic of faradaic redox reactions coupled with ion intercalation/diffusion processes. A vertical line (∼90°) corresponds to ideal capacitive charge storage, while a ∼45° Warburg slope represents semi-infinite diffusion. The intermediate angle observed here supports a mixed mechanism: surface capacitive adsorption/desorption combined with diffusion-controlled faradaic redox reactions.54 This behavior is fully consistent with the non-linear GCD profiles and confirms that the electrode operates through combined pseudocapacitive and battery-type processes. The charge-transfer resistance (Rct) values calculated for the pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructure are 1.120 Ω, 1.091 Ω, and 0.901 Ω, respectively. The inset of the Nyquist plots focusing on a high frequency region (0–10 Ω) shows more details about the EIS and the model fitting of constant phase angle (CPE) with diffusion employed. The difference between Rct and Warburg becomes more evident for each material by zooming into this range. A comparison of specific capacitance vs. current density demonstrates that capacitance decreases with an increase in current density, as depicted in Fig. 4(h). Ragone plots showed the highest specific energy density for the Bi2O3/Co3O4 heterostructure at the lowest current density compared to pristine materials, as presented in Fig. 4(i). The high value of specific energy density for the Bi2O3/Co3O4 heterostructure indicates its promising potential as an electrode material for supercapacitor applications. Moreover, the materials are battery-type and directly influence Ragone plot interpretation. Battery-type materials generally deliver higher specific energy due to bulk faradaic reactions but at comparatively lower power density because ion diffusion limits fast charge–discharge.55 The specific capacitance values calculated for all materials at different current densities are presented in Table 1.

Table 1 Specific capacitance of all fabricated electrodes calculated from GCD analysis at various current densities
Current density (A g−1) 1 2 3 5 7 9 10
Bi2O3 1189 934 857 738 627.3 543.4 508
Co3O4 1998 1602 1459.3 1316 1186 1086 1034
Bi2O3/Co3O4 2998 2358.2 2155.3 1890 1671 1533 1488


Electrochemical investigation of an asymmetric device

The Bi2O3/Co3O4 heterostructure has been employed as a cathode material for ASC devices to test its practical viability. Activated carbon (AC) is used as an anode material to obtain a synergistic advantage. The graphical representation of the fabricated ASC is depicted in Fig. 5(a). The two different material-based electrodes offer distinct properties that ultimately enhance the storage capacitance of ASC devices. The use of the Bi2O3/Co3O4 heterostructure induces reversible faradaic reactions, which enhance energy storage through redox behaviour, and AC exhibits electrostatic charge accumulation, resulting in high power output and excellent cyclic stability. Therefore, the ASC device creates a balance between energy and power density to capitalize on the shortcomings of a symmetric device. The AC anode has a lower specific capacitance and is not able to store a charge equal to the Bi2O3/Co3O4 heterostructure. Therefore, the mass of the positive and negative electrodes must be balanced to obtain maximum efficiency. Eqn (5) used to balance the mass is given below:
 
image file: d5na01181g-t2.tif(5)

image file: d5na01181g-f5.tif
Fig. 5 Electrochemical study of ASC: (a) graphical illustration of the ASC device, (b) CV curves at varying scan rates, (c) GCD profiles at different current densities, (d) Nyquist plot with fitted circuit model, (e) cycle stability, and (f) self-discharge test.

The 3 mg of the Bi2O3/Co3O4 heterostructure and 10.6 mg AC were separately deposited on 2 × 2 cm2 nickel foam used as substrates. The potential window optimization of the as-fabricated ASC is shown in Fig. S3. CV curves were obtained at 0–1 V at different scan rates employing 5 M KOH, as shown in Fig. 5(b). The GCD curves exhibit the same potential window with a triangular shape and great reversibility, as illustrated in Fig. 5(c). The specific capacitance values calculated were 237, 193, 148, 128, 110, and 106 F g−1 at 2, 3, 5, 7, 9, and 10 A g−1, respectively. The Rct and solution resistance (Rs) were evaluated, as depicted in Fig. 5(d). A depressed arc is observed in the high-frequency region, while a straight line is observed in the low-frequency region; moreover, the angle at the real axis is lower than 90°, indicating mass transfer and Warburg impedance. The Rct and Rs values calculated are 21.29 and 0.490 Ω by fitting the model of the constant phase angle (CPE) with diffusion, respectively. The Ragone plot was used to calculate the energy and power density values of an as-fabricated ASC device, as shown in Fig. S4. The ASC device showed a maximum energy density of 32.97 Wh kg−1 with a power density of 0.333 kW kg−1 at 2 A g−1. The device showed a capacity retention of 93.6% over 5000 cycles, indicating the excellent stability of the material, as shown in Fig. 5(e). Additionally, the ASC device was charged to 1 V, power was turned off and open circuit potential (OCP) observation was carried out against time, as shown in Fig. 5(f). The two-stage self-discharge behavior shows an initial rapid voltage drop to 0.6 V, followed by stabilization, which suggests the coexistence of different charge storage and loss mechanisms in the ASC. The fast initial decay is due to the redistribution of ions within porous electrodes, relaxation of the electric double layer, and discharge of weakly bound surface redox species. This process is driven by internal resistance and diffusion-controlled equilibration. After that, slower voltage decay indicates more stable faradaic charge storage, where deeper redox-active sites and more strongly adsorbed ions dominate, reflecting improved charge retention. For practical energy storage applications, this profile implies that although the device may experience some early voltage relaxation immediately after charging, it maintains relatively stable energy over longer resting periods. However, minimizing the initial rapid drop is important to enhance energy density and long-life performance in real-world devices.56

Electrochemical OER investigations

The electrocatalytic performance of the as-developed Bi2O3, Co3O4, and Bi2O3/Co3O4 materials was investigated for the OER in both alkaline (1 M KOH) and neutral (pH 7, 1 M PBS) electrolytes using LSV, Tafel analysis, CV, EIS, and chronoamperometry techniques. The overpotential (η) was determined at current densities of 50 mA cm−2 (alkaline) and 10 mA cm−2 (neutral). Fig. 6(a) depicts the LSV curves recorded in 1 M KOH at a scan rate of 10 mV s−1, demonstrating that the Bi2O3/Co3O4 electrode achieved a current density of ∼327 mA cm−2 at 1.96 V vs. RHE, which significantly outperforms Co3O4 (∼163.7 mA cm−2) and Bi2O3 (∼138.4 mA cm−2). The corresponding overpotentials at 50 mA cm−2 were 464 mV (Bi2O3/Co3O4), 524 mV (Co3O4), and 575 mV (Bi2O3). The higher current density and lower overpotential of Bi2O3/Co3O4 clearly demonstrate its superior catalytic performance compared to the other electrodes in the series.
image file: d5na01181g-f6.tif
Fig. 6 (a) LSV curves for as-prepared electrocatalysts in alkaline media recorded for the OER at a scan rate of 10 mV s−1, (b) Tafel plots for electrocatalysts in alkaline media, (c) LSV curves for as-prepared electrocatalysts in neutral media at a scan rate of 10 mV s−1, and (d) Tafel plots for electrocatalysts in neutral media.

This enhanced activity can be attributed to several synergistic factors. First, the improved redox chemistry arises from Bi2O3-mediated stabilization of catalytically active high-valent Co4+ species derived from Co3O4, which serve as primary active centers for OER via the CoO(OH) intermediate phase.57 The stabilization of Co4+ in the Bi2O3/Co3O4 heterostructure is assigned to interfacial coupling and charge redistribution between both materials. The difference in Fermi levels causes electron transfer from Co3O4 to Bi2O3 upon heterostructure formation, resulting in hole accumulation at the interfacial Co sites and supporting the oxidation of Co3+ to Co4+ under OER potentials. In parallel, Bi–O–Co linkages promote orbital hybridization between Bi and Co states, which delocalizes the charge density and thermodynamically stabilizes the Co4+ species.37 Second, the optimized electronic structure at the Bi2O3/Co3O4 heterointerface facilitates charge transfer and reduces the energy barrier for the critical OER step (*O → *OOH);58 third, the improved mass transport is enabled by the three-dimensional nickel foam substrate, which provides a high surface area for active site exposure and efficient bubble release. The values of Bi2O3 are used as a reference, as already reported in our previous work.59 Fig. 6(b) depicts the Tafel plot of the electrocatalysts in alkaline media, demonstrating that the Bi2O3/Co3O4 composite exhibits superior kinetic characteristics with a Tafel slope of 168.8 mV dec−1, which is significantly lower than those of Co3O4 (277 mV dec−1) and Bi2O3 (338.2 mV dec−1). This inverse relationship between Tafel slope values and reaction rates confirms the enhanced OER kinetics of the composite material in alkaline media. When the OER measurements were performed in neutral (1 M PBS), the electrolyte and LSV profiles for all materials are presented in Fig. 6(c). The Bi2O3/Co3O4 electrode again showed superior activity, achieving a current density of ∼49 mA cm−2 at 1.63 V vs. RHE, which is higher than that of the Co3O4 (∼22.5 mA cm−2) and Bi2O3 (∼19.1 mA cm−2). Moreover, Bi2O3/Co3O4 required only 153 mV at 10 mA cm−2, which is lower than that of Co3O4 and Bi2O3 with 250 and 280, respectively. Furthermore, the reaction kinetics were quantitatively evaluated through Tafel analysis, as presented in Fig. 6(d). The measured Tafel slope for Bi2O3/Co3O4 is 171.9 mV dec−1, which is lower than those of Co3O4 and Bi2O3, having 190.1 and 220.5 mV dec−1. In comparison, the lower OER performance in neutral media compared to alkaline conditions arises from intrinsic mechanisms and kinetic limitations. At neutral pH, the OH concentration is extremely low, so the reaction depends on water dissociation, which has a higher activation barrier than direct OH adsorption in an alkaline electrolyte. Consequently, proton-coupled electron transfer (PCET) steps become sluggish, interfacial proton removal is hindered, and charge-transfer resistance increases due to lower ionic conductivity. In addition, the formation of highly active high-valent Co species is less favorable in neutral environments, limiting intrinsic catalytic activity. The Bi2O3/Co3O4 heterostructure mitigates these limitations through interfacial electronic coupling and charge redistribution, which facilitate Co3+/Co4+ redox transitions and stabilize active sites. The built-in electric field at the heterointerface accelerates interfacial electron transfer, while Bi–O–Co interactions promote water adsorption and activation, partially overcoming the water dissociation bottleneck. As a result, the heterostructure exhibits improved neutral-pH OER kinetics compared to pristine Bi2O3 and Co3O4.60

Furthermore, EIS measurements were conducted to further investigate the OER kinetics of the prepared electrodes. Nyquist plots were recorded in the frequency range of 0.1–105 Hz with an amplitude of 10 mV, which revealed distinct semicircular profiles for all electrodes in both alkaline and neutral media, as shown in Fig. 7(a) and (b). The Bi2O3/Co3O4 composite exhibited the smallest semicircle diameter among all tested electrodes, indicating a significantly lower Rct compared to Bi2O3 and Co3O4. This reduced Rct value demonstrates more favorable charge-transfer kinetics at the electrode–electrolyte interface, which directly correlates with the enhanced OER activity observed in polarization measurements. The quantitative Rct values evaluated from equivalent circuit fitting further confirm the excellent electrocatalytic performance of the Bi2O3/Co3O4 composite, with the lowest resistance values recorded in both electrolyte media, as presented in Table S2. These EIS results provide additional evidence for the improved reaction kinetics and charge transport properties of the composite material, which is consistent with the outstanding OER performance demonstrated in previous electrochemical characterizations.


image file: d5na01181g-f7.tif
Fig. 7 (a) EIS of Bi2O3/Co3O4 in alkaline media, (b) EIS of Bi2O3/Co3O4 in neutral media, (c) chronoamperometry test of Bi2O3/Co3O4 in alkaline media, and (d) chronoamperometry test of Bi2O3/Co3O4 in neutral media.

To evaluate the long-term stability of the Bi2O3/Co3O4 electrocatalyst, which demonstrated superior performance among all fabricated electrodes, chronoamperometric tests were conducted for 24 hours in both alkaline and neutral media, as depicted in Fig. 7(c) and (d). Under alkaline conditions, the electrode maintained a stable current density of 50 mA cm−2 at an applied potential of 1.694 V vs. RHE, while in neutral media, it sustained 10 mA cm−2 at 1.383 V vs. RHE. Remarkably, the electrocatalyst exhibited exceptional durability in both environments, showing only minimal current density fluctuations throughout the extended potentiostatic operation. These stability test results confirm the robust structural integrity and sustained catalytic activity of the Bi2O3/Co3O4 composite under continuous operation, highlighting its potential for practical applications in both alkaline and neutral electrochemical systems.

To further evaluate the electrocatalytic performance, CV was conducted in the non-faradaic region at scan rates ranging from 50 to 250 mV s−1 for the fabricated electrodes in both alkaline and neutral media. This analysis was used to determine the electrochemical surface area (ECSA) and double-layer capacitance (Cdl), which are critical indicators of the number of active sites and overall catalytic efficiency. The Cdl values were derived from the slope of the linear plot of anodic current density vs. scan rate. The CV curves of Bi2O3/Co3O4 in alkaline media exhibit well-defined capacitive behavior, as shown in Fig. S5(a). The corresponding Cdl plot reveals that Bi2O3/Co3O4 possesses a significantly higher Cdl (1.24 mF) than Bi2O3 (0.605 mF) and Co3O4 (0.703 mF), as illustrated in Fig. S5(b). The increased Cdl suggests a larger ECSA and a greater number of accessible active sites, which contribute to enhanced catalytic efficiency. A similar trend was observed in neutral media, where the Cdl values followed the order Bi2O3/Co3O4 (0.871 mF) > Co3O4 (0.454 mF) > Bi2O3 (0.28 mF), as shown in Fig. S5(c) and (d). The ECSA was calculated using the following equation:

 
ECSA = Cdl/Cs, (6)
where Cs represents the specific capacitance of a smooth monolayer (0.04 mF cm−2). Since ECSA is directly proportional to Cdl, a higher Cdl of Bi2O3/Co3O4 indicates a greater active surface area, facilitating improved electrocatalytic activity. Additionally, the roughness factor (RF), a key parameter influencing catalytic performance, was determined by the ratio of ECSA to the geometric surface area of the electrode. A higher RF signifies a more textured and porous electrode surface, which enhances electrocatalytic activity, particularly for the OER. Although the heterostructure provides electronic synergy, the optimal porosity and roughness arising from the mixing method could act as limiting mass-transport factors, particularly at higher current densities.61 The OER performance metrics, including overpotential and Tafel slope, for all working electrodes in both alkaline and neutral media are summarized in Table S3. A comparative analysis of Cdl, ECSA, and RF for the tested electrodes, reinforcing the superior catalytic properties of the Bi2O3/Co3O4 composite, is shown in Table S4.

Conclusion

In summary, the synthesized pristine Bi2O3, Co3O4, and Bi2O3/Co3O4 heterostructure shows remarkable potential as an electrode material for high-performance supercapacitors and OER activity. The Bi2O3/Co3O4 heterostructure exhibits a maximum specific capacitance of 2998 F g−1 at 1 A g−1, which is due to the synergistic interaction between Bi2O3 and Co3O4. Furthermore, the Bi2O3/Co3O4 heterostructure was employed for an asymmetric supercapacitor device with a specific capacitance of 237 F g−1 at 2 A g−1. The ASC showed a remarkable energy density of 32.97 Wh kg−1 at a power density of 0.333 kW kg−1. Additionally, the Bi2O3/Co3O4 catalyst displayed excellent OER results in both alkaline and neutral media with very low overpotentials of 464 mV and 153 mV at current densities of 50 mA cm−2 and 10 mA cm−2, respectively. The fabricated electrode showed long-term stability when tested for 24 hours under chronoamperometry. The excellent stability and efficient overall water splitting further support the idea that the Bi2O3/Co3O4 heterostructure is a promising candidate for next-generation supercapacitors and electrocatalysts for sustainable energy technologies.

Conflicts of interest

There are no conflicts of interest to declare.

Data availability

All data generated or analyzed during this study are included in the published article and its supplementary information (SI). Raw data are available from the corresponding author upon reasonable request.

Supplementary information is available. See DOI: https://doi.org/10.1039/d5na01181g.

References

  1. L. L. Zhang and X. Zhao, Chem. Soc. Rev., 2009, 38, 2520–2531 RSC.
  2. P. Simon and Y. Gogotsi, Nat. Mater., 2008, 7, 845–854 CrossRef CAS PubMed.
  3. C. Liu, F. Li, L. P. Ma and H. M. Cheng, Adv. Mater., 2010, 22, E28–E62 CAS.
  4. J. R. Miller and P. Simon, Science, 2008, 321, 651–652 CrossRef CAS PubMed.
  5. A. S. Arico, P. Bruce, B. Scrosati, J.-M. Tarascon and W. Van Schalkwijk, Nat. Mater., 2005, 4, 366–377 CrossRef CAS PubMed.
  6. M. Kandasamy, S. Sahoo, S. K. Nayak, B. Chakraborty and C. S. Rout, J. Mater. Chem. A, 2021, 9, 17643–17700 RSC.
  7. Y. Wang, Z. Shi, Y. Huang, Y. Ma, C. Wang, M. Chen and Y. Chen, J. Phys. Chem. C, 2009, 113, 13103–13107 CrossRef CAS.
  8. C. An, Y. Zhang, H. Guo and Y. Wang, Nanoscale Adv., 2019, 1, 4644–4658 RSC.
  9. P. Bhojane, J. Energy Storage, 2022, 45, 103654 CrossRef.
  10. S. Jayakumar, P. C. Santhosh, M. M. Mohideen and A. Radhamani, J. Alloys Compd., 2024, 976, 173170 CrossRef CAS.
  11. M. F. Garcia, L. C. Arzuza, G. A. Neves, F. J. Loureiro, M. A. Morales, D. A. Macedo, H. L. Lira and R. R. Menezes, Materials, 2025, 18, 413 CrossRef CAS PubMed.
  12. W. Yang, Z. Gao, J. Wang, B. Wang, Q. Liu, Z. Li, T. Mann, P. Yang, M. Zhang and L. Liu, Electrochim. Acta, 2012, 69, 112–119 CrossRef CAS.
  13. R. Liang, Y. Du, P. Xiao, J. Cheng, S. Yuan, Y. Chen, J. Yuan and J. Chen, Nanomaterials, 2021, 11, 1248 CrossRef CAS PubMed.
  14. B. Guo, Y. Gao, Y. Li, X. Sun, S. Chen and M. Li, ACS Appl. Nano Mater., 2022, 5, 7471–7480 CrossRef CAS.
  15. H. Zhang, H. Xie, D. Wang, Y. Xu, M. Yang, Z. Ai, Y. Shao, D. Shi, Y. Wu and X. Hao, J. Colloid Interface Sci., 2025, 680, 572–580 CrossRef CAS PubMed.
  16. R. Huang, J. Zhang, Z. Dong, H. Lin and S. Han, ACS Appl. Energy Mater., 2023, 6, 1673–1684 CrossRef CAS.
  17. J. Wu, F. Huang, T. Lee, Y. Yan, X. Pei, M. Wang, S. Gao, S. Guo, X. Pan and P. Wang, ACS Appl. Energy Mater., 2022, 5, 6962–6969 CrossRef CAS.
  18. X. Zhang, Y. Yang, P. Jia, S. Li, J. Su, S. Lv, Y. Sun, R. Liu, Y. Xu and W. K. Pang, J. Power Sources, 2025, 644, 237117 CrossRef CAS.
  19. S. A. Mane, A. A. Kashale, G. P. Kamble, S. S. Kolekar, S. D. Dhas, M. D. Patil, A. V. Moholkar, B. R. Sathe and A. V. Ghule, J. Alloys Compd., 2022, 926, 166722 CrossRef CAS.
  20. D. Majumdar, M. Mandal and S. K. Bhattacharya, ChemElectroChem, 2019, 6, 1623–1648 CrossRef CAS.
  21. D. D. Mohite, S. S. Chavan, P. E. Lokhande, K. B. Sutar, S. Dubal, U. Rednam, B. A. Al-Asbahi and Y. A. Kumar, Mater. Today: Proc., 2024, 30, 883 Search PubMed.
  22. C. Zhang, J. Xiao, X. Lv, L. Qian, S. Yuan, S. Wang and P. Lei, J. Mater. Chem. A, 2016, 4, 16516–16523 RSC.
  23. L. Yang, Q. Zhu, K. Yang, X. Xu, J. Huang, H. Chen and H. Wang, Nanomaterials, 2022, 12, 4065 CrossRef CAS PubMed.
  24. R. S. Desai, V. S. Jadhav, S. R. Pardeshi, P. S. Patil, M. R. Hatshan, Y. A. Kumar and D. S. Dalavi, Phys. Chem. Chem. Phys., 2025, 27, 8098–8109 RSC.
  25. K. P. Shwetha, C. Manjunatha, M. K. Sudha Kamath, Vinaykumar, M. G. R. Radhika and A. Khosla, Appl. Res., 2022, 1, e202200031 CrossRef.
  26. Z. Wang, F. Tang, T. Li, X. Jiang, Q. Tian, M. Wang, J. Xu, L. Cui and J. Liu, J. Power Sources, 2025, 644, 237118 CrossRef CAS.
  27. R. U. Amate, P. J. Morankar, M. K. Bhosale, A. M. Teli, S. A. Beknalkar and C.-W. Jeon, Materials, 2025, 18, 2916 CrossRef CAS PubMed.
  28. A. Kumar, B. K. Satpathy, P. Goyal, R. Upadhyay, M. R. A. Kiapi, K. Jasuja, D. Menon and S. K. Misra, J. Chem. Eng., 2025, 520, 165685 CrossRef CAS.
  29. D. Kong, J. Luo, Y. Wang, W. Ren, T. Yu, Y. Luo, Y. Yang and C. Cheng, Adv. Funct. Mater., 2014, 24, 3815–3826 CrossRef CAS.
  30. C. Lu, L. Liu, Y. Yang, Y. Ma, Q. Luo and M. Zhu, ChemNanoMat, 2023, 9, e202200537 CrossRef CAS.
  31. D. Gaikwad, R. Bobade, U. Nakate, P. Rosaiah, A. M. Tighezza, B. Lokhande and R. C. Ambare, J. Mater. Sci.: Mater. Electron., 2024, 35, 489 CrossRef CAS.
  32. M. K. Paliwal and S. K. Meher, ACS Appl. Nano Mater., 2019, 2, 5573–5586 CrossRef CAS.
  33. Y. Qiu, H. Fan, X. Chang, H. Dang, Q. Luo and Z. Cheng, Appl. Surf. Sci., 2018, 434, 16–20 CrossRef CAS.
  34. W. Zhu and D. Shen, J. Energy Storage, 2024, 79, 110118 CrossRef CAS.
  35. G. Lakshmi Sagar, K. Brijesh, P. Mukesh, A. P. Hegde, A. Kumar, A. Kumar, K. S. Bhat and H. S. Nagaraja, J. Electroanal. Chem., 2024, 975, 118777 CrossRef CAS.
  36. I. B. Ahmed, M. Diaby, H. Nafati, A. Bardaoui, D. M. F. Santos, R. Chtourou and I. Ben Assaker, Solid State Sci., 2024, 152, 107537 CrossRef CAS.
  37. D. Gorylewski, F. Zasada, G. Słowik, M. Lofek, G. Grzybek, K. Tyszczuk-Rotko, A. Kotarba and P. Stelmachowski, ACS Catal., 2025, 15, 4746–4758 CrossRef CAS PubMed.
  38. Z. Hu, L. Hao, F. Quan and R. Guo, Catal. Sci. Technol., 2022, 12, 436–461 RSC.
  39. R. Zhang, L. Pan, B. Guo, Z.-F. Huang, Z. Chen, L. Wang, X. Zhang, Z. Guo, W. Xu, K. P. Loh and J.-J. Zou, J. Am. Chem. Soc., 2023, 145, 2271–2281 CrossRef CAS PubMed.
  40. Q. T. Nguyen, U. T. Nakate, B. G. Ghule, S. Park, J. Choi, J. H. Park, J. R. Park, J.-H. Jang, D.-W. Kim and S. Park, ACS Appl. Mater. Interfaces, 2025, 17, 12307–12316 CrossRef CAS PubMed.
  41. Z. A. Zulkifli, K. A. Razak and W. N. W. A. Rahman, J. Phys.: Conf. Ser., 2018, 1082, 012103 CrossRef.
  42. S. Rajendiran, M. Chellasamy, H. Pitchai Sali Mohamed, M. Anbazhagan, S. Marimuthu and U. Sekar, Nanotechnol. Environ. Eng., 2025, 10, 43 CrossRef CAS.
  43. H. Sun, J. Pan, X. Yan, W. Shen, W. Zhong and X. Cheng, Ceram. Int., 2019, 45, 24802–24810 CrossRef CAS.
  44. H. M. Danamah, T. M. Al-Hejri, V. V. Jadhav, T. A. J. Siddiqui, S. F. Shaikh, A. u. H. S. Rana and R. S. Mane, J. Power Sources, 2025, 652, 237301 CrossRef CAS.
  45. J. Li, H. Lin, Z. Ai, H. Feng, Y. Li, J. Xu and H. Xie, J. Energy Storage, 2025, 107, 115041 CrossRef CAS.
  46. J.-h. Zhang, P.-j. Zhu, Y.-z. Liu, X.-r. Zhu, Y.-f. Li and C.-M. Chen, J. Energy Storage, 2025, 112, 115543 CrossRef CAS.
  47. Y. Li, X. Zhu, X. Zhang, J. Zhang and Y. Liu, J. Energy Storage, 2025, 129, 117351 CrossRef CAS.
  48. S. Balasundari, S. Jayasubramaniyan, P. Thangavel, M. Vithiya, T. Rani, P. A. Rayjada, N. Satyanarayana and P. Muralidharan, ACS Appl. Eng. Mater., 2023, 1, 606–615 CrossRef CAS.
  49. S. Azhar, K. S. Ahmad, I. Abrahams, W. Lin, R. K. Gupta, A. Nadeem and S. M. Attia, Mater. Chem. Phys., 2025, 342, 130944 CrossRef CAS.
  50. X. Zhang, Y. Yang, P. Jia, S. Li, J. Su, S. Lv, Y. Sun, R. Liu, Y. Xu and W. K. Pang, J. Power Sources, 2025, 644, 237117 CrossRef CAS.
  51. Y. Liu, N. Fu, G. Zhang, M. Xu, W. Lu, L. Zhou and H. Huang, Adv. Funct. Mater., 2017, 27, 1605307 CrossRef.
  52. Y. Tong, X. Liu, D. Qi and B. Chi, J. Energy Storage, 2024, 97, 112798 CrossRef CAS.
  53. M. N. Hussain, A. Naveed, M. Sohail, M. D. Khan, S. G. Hickey, N. Ullah, I. Ahmad, A. Haider and S. M. Shah, ACS Appl. Eng. Mater., 2025, 3, 1315–1326 CrossRef CAS.
  54. J. E. S. Fonsaca, C. E. Lima, K. S. B. Martins, S. H. Domingues and C. J. S. de Matos, Langmuir, 2024, 40, 21442–21452 CrossRef CAS PubMed.
  55. Y. Li, X. Zhu, X. Zhang, J. Zhang and Y. Liu, J. Energy Storage, 2025, 129, 117351 CrossRef CAS.
  56. L. Song, W. Hou, H. Qiao, Q. Liu, J. Zhang, W. Zhang, D. Xiao and Q. Zhang, J. Mater. Chem. A, 2026 Search PubMed.
  57. D. Gorylewski, F. Zasada, G. Słowik, M. Lofek, G. Grzybek, K. Tyszczuk-Rotko, A. Kotarba and P. Stelmachowski, ACS Catal., 2025, 15, 4746–4758 CrossRef CAS PubMed.
  58. C. Stumm, M. Bertram, M. Kastenmeier, F. D. Speck, Z. Sun, J. Rodríguez-Fernández, J. V. Lauritsen, K. J. Mayrhofer, S. Cherevko and O. Brummel, Adv. Funct. Mater., 2021, 31, 2009923 CrossRef CAS.
  59. I. Tariq, A. Ali, A. Haider, W. Iqbal, M. A. Asghar, A. Badshah, M. A. Mansoor, T. Nisar, V. Wagner and S. M. Abbas, Energy Technol., 2024, 12, 2301504 CrossRef CAS.
  60. Y. Dong and S. Komarneni, Small Methods, 2021, 5, 2000719 CrossRef CAS PubMed.
  61. V. M. Nikolić, K. M. Dimić-Mišić, S. L. Maslovara, D. P. Popović, M. N. Gigov, S. S. Krstić and M. P. Marčeta Kaninski, Catalysts, 2026, 16, 98 CrossRef.

Footnote

U. A. and N. H. contributed equally to this paper.

This journal is © The Royal Society of Chemistry 2026
Click here to see how this site uses Cookies. View our privacy policy here.