Engineered S-scheme g-C3N4/MnO2 heterostructures for integrated photo-rechargeable supercapacitors with enhanced energy storage performance

P. Chinnappan Santhosh , Suresh Jayakumar and A. V. Radhamani *
Energy and Innovative Materials Laboratory (EIML), Department of Physics and Nanotechnology, College of Engineering and Technology, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Chengalpattu, 603203, Tamilnadu, India. E-mail: radhamaa@srmist.edu.in

Received 19th September 2025 , Accepted 17th November 2025

First published on 4th December 2025


Abstract

Engineering a two-in-one multifunctional device that couples energy conversion and storage offers a smarter strategy to address the current global energy crisis while reducing reliance on grid electricity. Photo-rechargeable supercapacitors are perfect devices for the storage of light-induced electrochemical energy, garnering increasing attention as the next-generation energy storage technology. This study presents a novel 2D/1D g-C3N4/MnO2-based photocathode architecture, reported for the first time, for the fabrication of a solid-state photo-rechargeable supercapacitor device. Here, g-C3N4 functions as the light-capturing component, while MnO2 acts as the primary charge-storing element for the device. Photoluminescence (PL) results confirm that the MnO2/g-C3N4 S-scheme architecture promotes efficient photoexcited charge separation and suppresses their recombination. Upon light illumination, the optimized device exhibits a ∼23% enhancement in areal capacitance, compared to its performance in the dark at 0.7 mA cm−2. Under light exposure, the fabricated device retains double its areal capacitance after 600 cycles and achieves 100% retention after 2000 cycles under dark conditions, highlighting its outstanding cycling stability. This remarkable performance is ascribed to the presence of oxygen vacancy-mediated trap states in MnO2, which reduce charge carrier recombination during light illumination and facilitate charge transfer kinetics. The proposed S-scheme charge transfer mechanism is further validated by the combined evidence from Scanning Kelvin Probe (SKP) and Mott–Schottky measurements. These findings emphasize the promise of the g-C3N4/MnO2 S-scheme heterojunction for efficient light-assisted energy storage, making a significant advancement for an emerging class of materials. As the proof-of-concept, the device powered a red LED for 33 s in the dark and for up to 43 s under light illumination.


1. Introduction

Tackling the worldwide energy needs and environmental challenges due to excessive reliance on fossil fuels necessitates the engineering of sustainable technologies and green energy solutions. Among various renewable resources, solar energy is distinguished by its abundance, cleanliness, and inexhaustibility, highlighting its potential as a key green energy source.1–3 Conventional photovoltaic devices, such as solar cells and photodetectors, can effectively convert sunlight into electric energy, but they cannot store the electric energy. This limitation often necessitates the integration of separate energy storage units, such as batteries or supercapacitors, which introduces issues like voltage mismatch, increased system bulk, extra wiring, and additional energy losses.4 To address these challenges, researchers have developed photo-rechargeable supercapacitors, capable of simultaneously harvesting solar energy and storing it within a single integrated system. These devices utilize a photocathode, which performs two essential functions: converting solar energy and storing electric charges effectively.5 The charge storage process in photo-rechargeable supercapacitors includes three key steps: (1) efficient light absorption and photoinduced charge carrier generation, (2) suppression of photoexcited charge carrier recombination, and (3) charge storage via a redox reaction or using an electric double layer.6

However, despite these steps, some photo-rechargeable systems suffer from sluggish mechanisms like higher recombination rates, limited ion diffusion, and energy band mismatch. These drawbacks critically impair the photo-charging efficiency and the overall device performance. To overcome these limitations, strategies such as heterojunction engineering (type-II heterojunction, S-scheme heterojunction, etc.) and conductive additives (rGO, CNTs, etc.) are widely explored to facilitate charge transfer and suppress recombination.7 Among various photoactive materials, graphitic carbon nitride (g-C3N4) is a well-known organic semiconductor with several advantages, such as facile synthesis, a narrow bandgap (∼2.7 eV), and a layered structure consisting of tri-s-triazine (heptazine) units interconnected by nitrogen atoms. However, the charge-storage ability of g-C3N4 is lower than those of other carbon-based electrodes. To enhance the charge storage ability and boost the photo-generated charge carrier separation, several other charge storage materials were incorporated.8 For example, Gupta et al. prepared a photoelectrode using a rGO–g-C3N4–ZnCo2O4 heterojunction, achieving an electrochemical enhancement of 25–30% under light illumination, attributed to the improved charge separation and conductivity.9 Similarly, Bai et al. synthesized a p–n heterojunction of Co3O4/g-C3N4, which exhibited a remarkable 70.6% performance enhancement under light illumination, owing to the internal electric field, which promotes redox reactions in the device.10 Among various works, Zhang et al. reported a graphene/MXene QD hybrid photo-rechargeable supercapacitor. Under UV illumination, photo-induced charge carriers generated in QDs were trapped across the graphene junction, effectively boosting charge accumulation. The capacitance of the device also remained at 105% after 5000 cycles.11 Recently, Liu et al. reported an isotype heterojunction of g-C3N4 synthesized via a precursor-ratio-controlled polycondensation method for a photo-zinc-ion capacitor. The optimized photoelectrode achieved a specific capacity of 37.62 mAh g−1, and also showed slow self-discharge with enhanced energy density.12 The limitation of g-C3N4 can be addressed by incorporating it with high-charge storage materials with energy band matching. MnO2, with its impressive theoretical specific capacitance (1370 F g−1), was integrated to boost the device's charge storage properties and assist in the effective separation of charge carriers.13,14 However, MnO2 suffers from its limited conductivity and insufficient surface area.15 These drawbacks can be overcome by employing one-dimensional MnO2 nanostructures, which provide rich active centers for the reaction and rapid electron mobility, thereby increasing the electrochemical performance.16,17 Furthermore, MnO2 combined with a hierarchical porous carbon network is widely investigated as a supercapacitor electrode.

In the current study, g-C3N4/MnO2 composites were effectively synthesized through a simple hydrothermal method, utilizing different proportions of KMnO4. The M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 electrode exhibited excellent electrochemical properties, which were further tested with photoelectrochemical studies. The M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 photocathode shows an enhanced areal capacitance of ∼23% under light illumination. The prepared solid-state device shows excellent photo-current response under light illumination, indicating that the photogenerated charge carriers enhanced the performance and exhibited a high areal energy density of 0.68 μWh cm−2, surpassing its performance in the dark. This work provides a practical approach for developing photo-rechargeable supercapacitors with a deeper analysis of the mechanism involved, supported by SKP-derived work function measurements, marking the first report on MnO2/g-C3N4-based photo-rechargeable supercapacitors.

2. Experimental details

2.1. Materials

Analytical grade reagents, such as melamine (C3H6N6), potassium permanganate (KMnO4), polyvinyl alcohol (PVA), hydrochloric acid (HCl), sodium sulphate (Na2SO4), potassium hydroxide (KOH), and potassium chloride (KCl), were used in the synthesis process, which were procured from Sigma-Aldrich. All chemical reagents were used without further purification. Additionally, all glassware was carefully washed with deionized water (DI) prior to use.

2.2. Synthesis of g-C3N4

10 g of melamine was taken in an alumina crucible and calcined at 550 °C for 4 h. After natural cooling, the obtained yellow product was finely ground using a pestle and mortar and labeled as “CN”.

2.3. Synthesis of MnO2

The hydrothermal procedure was employed to synthesize pure α-MnO2. In a typical procedure, 35 mM of KMnO4 and 0.5 mL of concentrated HCl were dissolved in 65 mL of DI water. The solution was poured into an autoclave with a 100 mL capacity and heated at 150 °C in an oven for 8 h. After hydrothermal treatment, the solution was centrifuged with DI water and dried at 80 °C for 8 h, and the obtained sample was labelled as “M”.

2.4. Synthesis of MnO2/g-C3N4

To synthesize MnO2/g-C3N4 nanocomposites with varying compositions, 35, 105, and 175 mM of KMnO4 were separately dissolved in 35 mL of DI water and stirred for 2 h. Additionally, 0.36 g of g-C3N4 was dispersed in 30 mL DI water and ultrasonicated for 30 min. The g-C3N4 solution was then mixed with KMnO4 solution and stirred continuously for 1 h, during which 0.5 mL of concentrated HCl was gradually added. The solution was then poured into a 100 mL autoclave and subjected to a hydrothermal reaction at 150 °C for 8 h. The sample was then subjected to centrifugation with DI water and ethanol, followed by drying at 80 °C for 8 h. The final sample was designated as the MnO2/g-C3N4 nanocomposite, with the samples labelled as M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1, M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 according to the respective KMnO4 content used during the synthesis.

2.5. Preparation of the photocathode

The photocathode was prepared by mixing M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, PVDF binder, and carbon black in an 8[thin space (1/6-em)]:[thin space (1/6-em)]1[thin space (1/6-em)]:[thin space (1/6-em)]1 ratio using NMP as the solvent. The resulting slurry was sonicated and stirred for 4 h. The prepared solution was drop-cast onto a pre-cleaned FTO substrate and subsequently dried at 80° C for 8 h.

2.6. Fabrication of the photo-rechargeable supercapacitor

To prepare a symmetric solid-state photo-rechargeable supercapacitor, the dried photocathode was assembled by sandwiching it with a separator and a PVA–KCl gel electrolyte. The constructed device was left to dry at room temperature to eliminate residual water from the gel electrolyte. The gel electrolyte was formulated by dissolving 10 wt% of PVA in 5 mL of DI water under constant stirring for 2 h at 80 °C. Subsequently, 1 M KCl was introduced into the mixture and continuously stirred to obtain a homogeneous solution (Scheme 1).
image file: d5nr03958d-s1.tif
Scheme 1 Schematic representation of M/CN composites and fabrication of the photo-rechargeable supercapacitor.

3. Results and discussion

3.1. Structure and morphology analysis

Fig. 1(a) displays the XRD patterns of M, CN, and the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 nanocomposite. For CN, the peaks observed at 12.66° and 27.03° correspond to the (100) and (002) planes, which are commonly associated with the stacking of conjugated aromatic systems and the tri-s-triazine unit, respectively (JCPDS card no: 00-087-1526).18 For the M sample, the prominent peaks at 12.6°, 17.9°, 28.6°, 36.7°, 37.3°, 41.7°, 49.6°, 55.9°, and 59.9° correspond to the (110), (200), (310), (400), (211), (301), (411), (431), and (521) planes, matching with the reference pattern of α-MnO2 as indexed in JCPDS card no: 00-041-0141. The diffraction peaks observed in the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 nanocomposite confirm the coexistence of both α-MnO2 and g-C3N4.19 The XRD results of the M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1 and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 composites are provided in Fig. S1(a). Fig. 1(b) shows the FTIR analysis, which was employed to investigate the chemical structure and pinpoint the functional groups present in M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1. The M sample shows peaks at 503 cm−1 and 699 cm−1, which are assigned to the bending and stretching vibrations of Mn–O, respectively.20 Furthermore, the absorption peak located at 565 cm−1 corresponds to the Mn–O–Mn vibration.21 In the case of the CN sample, a distinct peak observed at 810 cm−1 is characteristic of the triazine ring. Numerous strong peaks were observed between 1220 cm−1 and 1650 cm−1, which are attributed to the stretching vibrations of C[double bond, length as m-dash]N and C–N bonds within the aromatic heterocycle rings.22 The peaks positioned at 1536 cm−1 and 1619 cm−1 are attributed the C[double bond, length as m-dash]N stretching vibration, and the broad peak observed at 3000 cm−1–3400 cm−1 in the FTIR spectrum of CN is ascribed to the stretching vibration of the NH bond or [double bond, length as m-dash]NH bond.23 The FTIR spectra of M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1 and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 are shown in Fig. S1(b). The FTIR spectra of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample show the characteristic peaks of both M and CN, confirming the successful preparation of the nanocomposite. Furthermore, zeta potential analysis was performed to measure the surface charges of the M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 samples. As shown in Fig. S2, all the samples exhibit negative surface charge values, where the M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 samples possess zeta potential values of −10.6 mV, −23.6 mV, and −26.7 mV, respectively. The M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample possesses a more negative zeta potential compared to the M and CN samples, which indicates local surface charge redistribution between M and CN while forming a heterojunction.24 Furthermore, a higher zeta potential value indicates good stability of the material due to stronger repulsion among the particles.25 The higher negative zeta potential value of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample suggests that the formed M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 heterostructure is the most stable. FE-SEM analysis was carried out to characterize the surface morphology of the as-prepared samples. As shown in Fig. 2(a), CN exhibits a two-dimensional sheet-like structure. Meanwhile, the α-MnO2 sample exhibits a one-dimensional nanoneedle-like morphology, as depicted in Fig. 2(b). Fig. 2(c) presents the FE-SEM image of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 nanocomposite, where MnO2 nanoneedles are anchored on the g-C3N4 sheets, resulting in the formation of a heterostructure. This intertwined morphology of MnO2 and g-C3N4 promotes electron mobility during charging and discharging. Furthermore, the energy dispersive spectroscopy (EDS) mapping images of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite, as shown in Fig. 2(d), confirm the even distribution of M, O, C, and N elements across the heterostructure. The morphologies of M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1 and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 are provided in Fig. S3. Moreover, HR-TEM analysis of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite, as shown in Fig. 2(e–g), reveals a strong surface connection between MnO2 and g-C3N4. This intimate contact is crucial in facilitating efficient separation and transfer of photoinduced excitons and prevents the recombination of charge carriers. The HR-TEM image of the composite displays lattice fringes corresponding to the (3 0 1) crystal facet of MnO2, with an interplanar d-spacing of 0.30 nm, in agreement with its XRD result.26 Additionally, the elemental composition from the EDS spectra (Fig. S4) confirms the existence of Mn, O, C, and N peaks with their respective weight percentages provided in the inset image.27
image file: d5nr03958d-f1.tif
Fig. 1 (a) XRD patterns of M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1. (b) FTIR spectra of M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1.

image file: d5nr03958d-f2.tif
Fig. 2 (a–c) FE-SEM images of CN, M, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, (d) elemental mapping of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, and (e–i) HR-TEM images of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1.

3.2. XPS analysis

X-ray photoelectron spectroscopy (XPS) was utilized to examine the chemical states and elemental composition of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample. As depicted in Fig. 3(a), the survey spectrum confirms the presence of Mn, O, C, and N as the constituent elements of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1. In the Mn 2p spectrum [Fig. 3(b)], the peaks at 642.6 eV and 654.2 eV correspond to Mn 2p3/2 and Mn 2p1/2, respectively. Furthermore, these two peaks are deconvoluted into four peaks via Gaussian and Lorentzian fitting, revealing the presence of Mn3+ at 642.43 eV and 654.3 eV, along with Mn4+ at 644.48 eV and 654.06 eV, thereby confirming the mixed-valence state of Mn.28–31 The Mn 3s spectrum, as depicted in Fig. 3(c), reveals a spin-energy separation (ΔE) of 4.77 eV (ref. 32) obtained using the following eqn (1):
 
AOS = 8.956 − 1.126ΔE(1)

image file: d5nr03958d-f3.tif
Fig. 3 (a) Survey spectrum of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite; (b) Mn 2p, (c) Mn 3s, (d) O 1s, (e) C 1s, and (f) N 1s XPS spectra of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample.

The resulting average oxidation state (AOS) of Mn is found to be 3.61, which further confirms the presence of Mn3+ and Mn4+. As shown in Table S1, the Mn3+/Mn4+ ratio is 2.32, indicating a higher proportion of Mn3+. This increased Mn3+ concentration correlates with oxygen vacancies, which act as electron traps and facilitate improved charge separation.33 The deconvoluted peak of the O 1s spectrum, as shown in Fig. 3(d), exhibits three peaks at 529.87 eV responsible for lattice oxygen (Mn–O–Mn), 531.51 eV attributed to oxygen vacancies, and 533.75 eV corresponding to surface-adsorbed –OH groups (Mn–OH), respectively.34–36 Hence, the prominent peak observed at 531.51 eV confirms the existence of oxygen vacancies in MnO2. As displayed in Fig. 3(e), the C 1s spectrum is deconvoluted into the characteristic peaks positioned at 284.79 eV, 286.02 eV, and 288.23 eV corresponding to the C[double bond, length as m-dash]C/C–C, C–NHx, and N–C[double bond, length as m-dash]N groups, respectively.37,38 Similarly, the N 1s spectrum, as shown in Fig. 3(f), displayed three distinct peaks at 398.69 eV corresponding to the sp2-hybridized nitrogen (C[double bond, length as m-dash]N–C), 400.43 eV attributed to (N-(C)3), and 405.4 eV attributed to oxidised nitrogen species.39–41

3.3. Band structure analysis and the plausible charge transfer mechanism

Work function measurements were performed using a Scanning Kelvin Probe (SKP) system, with M- and CN-coated FTO substrates positioned at a distance of 1 mm below a vibrating gold tip that served as a reference. The work function (Φ) is defined as the numerical difference between the vacuum energy level and the Fermi energy level. The average work function (Φ) of the samples was determined from the contact potential difference (CPD) measurements using eqn (2):42
 
Φ = 5100 − CPDAu + CPDsample(2)
where 5100 is the work function of Au in meV, CPDAu is the CPD between the tip and the gold reference, and CPDsample is the CPD between the sample and the tip. As shown in Fig. 4(a), the calculated work function values of M and CN are 5.12 eV and 4.59 eV, respectively.43,44 The higher Φ value of MnO2 indicates that, upon contact, electrons spontaneously flow from CN to M until the Fermi level equilibrium is reached. These results from the work function measurements provide strong evidence for the formation of an S-scheme heterojunction between the M and CN samples.45Fig. 4(b) illustrates the band bending and charge transfer between M and CN, which are further supported by the Mott–Schottky and UV–Vis spectroscopy results.

image file: d5nr03958d-f4.tif
Fig. 4 (a) SKP 3D-raster scans of M and CN and (b) schematic illustration of a plausible charge transfer mechanism based on the SKP measurement.

Furthermore, UV-vis spectroscopy was used to investigate the optical properties of CN, M, and the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 nanocomposite. As shown in Fig. 5(a), pristine CN exhibits an absorption edge at around 450 nm, and the M sample shows a broad absorption ranging from 200 nm to 800 nm. After the formation of a heterojunction, the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite exhibits a higher absorbance intensity compared to M and CN, which indicates enhanced light absorption efficiency. To determine the band gap energies, the Tauc plot was obtained using the following relationship:46

 
A(Eg) = (αhν)1/n(3)
where α stands for the absorption coefficient, h is Planck's constant, ν denotes the frequency of light, Eg represents the band gap, and A is a constant. The parameter n takes a value of either 1/2 or 2, depending on whether the bandgap of the material is direct or indirect. As displayed in Fig. 5(b and c), the estimated band gap values are 2.85 eV for CN and 1.69 eV for M. These results are in good agreement with the literature reports.47–49


image file: d5nr03958d-f5.tif
Fig. 5 (a) UV-Vis absorption spectra of CN, M, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, (b and c) Tauc plots of CN and M, (d) PL spectra of CN, M, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, (e and f) Mott–Schottky plots of CN and M, (g) plausible energy band position and charge carrier separation under light illumination, (h) schematic representation of the photodetector, (i) IV plots of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 in the dark and under 1 sun illumination, (j) schematic representation of the photo-rechargeable supercapacitor, (k) photocurrent response of the device under light illumination and dark conditions, and (l) ESR spectrum of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 (inset: g-value).

Photoluminescence (PL) spectra highlight the recombination behaviour of the M, CN, and M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 samples. As depicted in Fig. 5(d), the PL spectrum of CN shows a broadband spectrum from 410 nm to 550 nm with two distinct peaks at 441 nm and 457 nm related to the band-to-band transition and inter-band defect states in CN.50 Notably, CN shows the highest intensity, indicating the fastest recombination of charge carriers. Conversely, the PL intensity was notably quenched by about 50% in the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite, indicating that MnO2 incorporation effectively promotes charge separation. The lower intensity of the M sample is attributed to the photo-generated charge carriers being less compared to that of CN.51

To elucidate the band structure, Mott–Schottky measurements were performed on CN and M, as illustrated in Fig. 5(e) and (f). Both plots show a positive slope for CN and M, indicating n-type behaviour. The flat band potentials of CN and M were determined to be −1.53 V and 1.05 V, respectively, relative to Ag/AgCl using Nernst eqn (4):48

 
image file: d5nr03958d-t1.tif(4)
where image file: d5nr03958d-t2.tif at 25 °C at pH = 7. The conduction band edge (ECB) was found to be −0.9 V for CN and 1.63 V for M, relative to the RHE scale. By using the band gap values of CN and M samples from the Tauc plots, the valence band edge (EVB) was calculated using eqn (5):
 
EVB = ECB + Eg(5)

The EVB value was found to be 1.95 (V vs. RHE) for CN and 3.32 (V vs. RHE) for M, respectively. Finally, the ERHE was converted into E(vacuum) using eqn (6):52

 
E(vacuum) = −4.44 − ERHE(6)
  Based on the Mott–Schottky analysis and work function measurements, the energy band alignment of M and CN samples was established. As presented in Fig. 4(b), before contact, the conduction band edge of CN lies at a higher potential than that of M. Moreover, CN possesses a lower work function compared to M, which drives the electrons from CN to M upon contact. The electron transfer occurs until the Fermi levels of both the materials reach equilibrium, inducing upward band bending in the CN sample and downward band bending in the M sample. Consequently, a built-in electric field is formed in the interfacial region. Fig. 5(g) further confirms the formation of an S-scheme heterojunction between M and CN. When exposed to light, the photogenerated holes of CN undergo recombination with the conduction band electrons of MnO2. The photoexcited electrons in the ECB of CN move to the external circuit and the photogenerated holes in the EVB of MnO2 attract the Cl ions in the electrolyte.53

3.3.1. Evidence of charge separation under light conditions. Furthermore, the photoresponse and self-powered behaviour of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample were investigated using a prepared photodetector and the results are shown in Fig. 5(h). Current–voltage (IV) measurements were conducted under both dark and light conditions, as shown in Fig. 5(i). The photodetector shows a higher photocurrent compared to the dark current, explaining the photosensitivity of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 sample. Also, the IV curve doesn't intersect at 0 V, indicating the self-powered operation of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 photodetector.

To validate the charge carrier separation under zero voltage bias, chronoamperometry was performed on the prepared device without external voltage (V = 0). As shown in Fig. 5(k), the test was carried out under both dark and light conditions. Under light conditions, the photocurrent increased from 0.99 μA to 1.61 μA, demonstrating that the S-scheme heterojunction facilitates photoinduced charge carrier separation.

3.3.2. Electron paramagnetic resonance (EPR) analysis. To confirm the existence of oxygen vacancies in the as-prepared samples, electron paramagnetic resonance (EPR) spectroscopy was conducted. As shown in Fig. S5, MnO2 (M sample) exhibits a resonance absorption signal at a g-value of 2.07, which closely agrees with the free electron g value of 2.0023, indicating the presence of oxygen vacancies associated with unpaired electrons. In comparison, the ESR spectrum of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite exhibits a higher intensity than that of MnO2, as shown in Fig. 5(i). The enhanced ESR intensity indicates a higher concentration of oxygen vacancies in the composite, which facilitates photoinduced charge carrier trapping and transfer, thereby suppressing charge recombination. This contributes to improved stability and prolonged cycling durability, amplifying the overall performance of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 device.54–56

3.4. Electrochemical performance of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite

3.4.1. Three-electrode system. The electrochemical behaviour of the M, M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1, M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 electrodes was investigated in a conventional three-electrode setup. Fig. S6(a) displays the cyclic voltammetry (CV) curves recorded at 20 mV s−1. All electrodes exhibit a pair of redox pseudocapacitive behaviour primarily arising from the reversible intercalation and deintercalation of OH ions between the KOH electrolyte and the prepared electrodes during the charge–discharge process.57,58 Among all the samples, the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite had the largest CV curve area, highlighting its better electrochemical performance relative to others. The galvanostatic charge–discharge (GCD) curve at 1 A g−1, as shown in Fig. S6(b), further confirms the superior electrochemical performance of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, as evidenced by its prolonged discharging time compared to other devices. Using eqn (S1), the specific capacitance was calculated to be 397.18 F g−1 for M, 89.14 F g−1 for M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1, 555.12 F g−1 for M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, and 523.66 F g−1 for M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1, as shown in Fig. S6(c). The enhanced performance of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 is attributed to the optimized proportion between the ratio of KMnO4 and g-C3N4, facilitating effective synergistic interaction and enhanced electrochemical activity.

Fig. 6(a) displays the CV curves of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 recorded at various scan rates (5–100 mV s−1). As the scan rate increases, the integral area of the CV curve expands, while the oxidation peak shifts towards more positive potential and the reduction peak shifts towards more negative potential. This behaviour signifies an increased polarisation effect and an increase in the interfacial resistance between the electrolyte and the electrode.59 GCD curves were obtained at varying current densities ranging from 1 A g−1 to 10 A g−1, as displayed in Fig. 6(b). The specific capacitances of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 were 555.12, 509.73, 480.84, 444.2, 412.58, and 373.4 F g−1 at current densities of 1, 2, 3, 5, 7, and 10 A g−1, respectively. The electrode retained 67.23% of its capacitance, demonstrating good rate capability. Fig. 6(c) shows the Nyquist plot of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 measured over a frequency range between 100 kHz and 10 mHz, with the corresponding equivalent model circuit presented in the inset. Fig. S6(d) shows the Nyquist plots of the M, M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1, M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 samples. The fitted values obtained from the equivalent circuit model shown in Fig. S6(e) reveal the solution resistance (Rs) and charge transfer resistance (Rct) of the system. M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 shows a minimum Rs value of 1.03 Ω, indicating the minimum ohmic loss and increased rate capability compared to other electrodes.60 The Rct value of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 (6.52 Ω) is slightly higher than that of M (5.38 Ω), which can be traded off against its high specific capacitance. In contrast, M/CN-1[thin space (1/6-em)]:[thin space (1/6-em)]1 and M/CN-5[thin space (1/6-em)]:[thin space (1/6-em)]1 show higher Rct values, representing the less favourable electron transfer kinetics. The cycling stability of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 electrode was evaluated over 2000 continuous charge and discharge cycles at 7 A g−1, in which the electrode maintained a cycling retention of 91.74% with a coulombic efficiency of 99.5%, as shown in Fig. 6(d). Owing to its excellent specific capacitance, superior rate performance, and low internal resistance, the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite was further evaluated as a photocathode for the fabrication of a photo-rechargeable supercapacitor.


image file: d5nr03958d-f6.tif
Fig. 6 (a) CV curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, (b) GCD curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1, (c) Nyquist plot of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 (inset: equivalent circuit), and (d) cycling stability of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1.
3.4.2. Photo-rechargeable M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 symmetric device. The electrochemical performance of the photocathode (M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1) was evaluated by preparing a symmetric solid-state supercapacitor under dark and light conditions (1 sun). CV measurements were conducted at scan rates ranging from 10 mV s−1 to 100 mV s−1 over a potential range spanning from 0.0 V to 0.8 V. Fig. 7(a) demonstrates that exposure to light substantially boosts the charge storage performance of the device, as the photoinduced charge carriers actively contribute to charge accumulation. Importantly, as depicted in Fig. 7(b), the CV profiles remained consistent in the presence and absence of illumination, with the primary difference being an increased current density under illumination. Fig. S7 presents the CV curve recorded in the dark. Moreover, the CV curve profiles remained stable across various scan rates, further confirming the reversibility of the photocathode during charging and discharging.61 Fig. S8(a) illustrates the capacitance enhancement in the CV curve with and without light exposure at various scan rates. The capacitance enhancement was determined using eqn (7):
 
image file: d5nr03958d-t3.tif(7)
where Clight and Cdark correspond to capacitances under light and dark conditions, respectively. Fig. S8(b) displays the highest areal capacitance of 19.8%, which was achieved at 10 mV s−1. Under increased scan rate conditions, notably 100 mV s−1, a notable enhancement to 15.9% was maintained, with only a 3.9% decrease, which surpasses the values reported in the previous literature. To further investigate the photocathode behaviour, GCD measurements were conducted at various current densities between 0.3 mA cm−2 and 0.7 mA cm−2 under both dark and illuminated conditions, as presented in Fig. 7(d) and (e). As supported by the CV results, the light illumination led to an improvement in areal capacitance.

image file: d5nr03958d-f7.tif
Fig. 7 (a) CV curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 under dark and light conditions, (b) CV curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 at different scan rates under light illumination, (c) GCD curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 under dark and light conditions, (d) GCD curve of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 at various current densities under light illumination, (e) comparison of areal capacitance under light and dark conditions, and (f) capacitance increment under light illumination at various current densities.

For instance, upon light irradiation, the areal capacitance increased from 6.75 mF cm−2 to 7.65 mF cm−2 with a capacitance enhancement of 13.3% at 0.3 mA cm−2. Moreover, as the current density increases, the enhancement in areal capacitance becomes more pronounced. At 0.7 mA cm−2, the capacitance increased from 2.71 mF cm−2 to 3.33 mF cm−2 under illumination, representing a substantial enhancement of 22.9%, as depicted in Fig. 7(f). These results demonstrate the significant contribution of photogenerated charge carriers to the enhanced charge storage behaviour under light illumination.

To investigate the electrochemical kinetics and charge storage characteristics of the photo-rechargeable supercapacitor, the correlation between the current response (i) and the scan rate (ν) was analyzed using the power-law relationship:62

 
i(ν) = b(8)
 
log(i) = b[thin space (1/6-em)]log(ν) + log(a)(9)
where a and b are the variable parameters, with i representing the current and ν indicating the scan rate, respectively. The b-value provides a perspective on the underlying charge accumulation mechanism and the value was determined by the logarithmic transformation of eqn (8). Fig. 8(a) presents the log(i) versus log(ν) plot, where the linear fitting is used to determine the b-value, ranging from 0 to 1. A b-value of ∼1 suggests that the charge storage is mainly capacitive, governed by surface reactions, whereas a b-value of ∼0.5 corresponds to a diffusive-controlled process primarily involving ion intercalation. The obtained b-value from Fig. 8(a) is 0.55 (dark) and 0.56 (under 1 Sun). These represent the contribution mainly from diffusive processes. The slight increase in the b-value under light illumination may be attributed to photogenerated charge carriers, facilitating redox reactions and enhancing capacitive behaviour.63 To further quantify the contribution process, Dunn's method was employed:62
 
i = k1ν + k2ν1/2(10)


image file: d5nr03958d-f8.tif
Fig. 8 (a) The b-value of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 under light and dark conditions, (b and c) capacitive contribution of the CV curve at 10 mV s−1 and quantitative analysis of capacitive contribution and diffusive contribution under light illumination, (d and e) capacitive contribution of the CV curve at 10 mV s−1 and quantitative analysis of capacitive contribution and diffusive contribution under dark conditions, (f) Nyquist plot of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 under dark and light conditions with fitted curves (inset: EIS equivalent circuit), (g) Zvs. ω−1/2 plots under dark and light conditions, and (h) cycling stability of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 under light and dark conditions.

At a specific potential, the total current i is the sum of the capacitive contribution (k1ν) and the diffusive contribution (k2ν1/2). By dividing eqn (10) by ν1/2,

 
i/ν1/2 = k1/ν1/2 + k2(11)

Furthermore, the charge storage behaviour of the prepared device was elucidated. From eqn (11), the capacitive contribution of the device under light illumination was calculated to be 59.5% at 10 mV s−1, as depicted in Fig. 8(b). Furthermore, this contribution increases from 59.5% to 82.3% as the scan rate increases from 10 mV s−1 to 100 mV s−1, as presented in Fig. 8(c). As illustrated in Fig. 8(d), the capacitive contribution under dark conditions reached 58.3% at a scan rate of 10 mV s−1, which increased to 81.5%, as presented in Fig. 8(e). With increasing scan rates, the capacitive contribution increases and the diffusive contribution decreases, suggesting limited ion diffusion into the photocathode at higher rates.17

Further validation of light-enhanced charge storage kinetics was performed through EIS. Fig. 8(f) presents the Nyquist plots measured in the presence and absence of light, and the equivalent circuit with fitted parameters is presented in Table S2. Notably, the Rs and Rct values measured in the dark are 54.06 Ω and 330.42 Ω, respectively, which notably exceed the values under illumination (1 Sun), where the Rs and Rct values decrease to 34.09 Ω and 195.77 Ω, respectively. Under light conditions, the Rct value decreased by 40.8% compared to the dark conditions, accompanied by a reduction in the Warburg resistance (W) as well. The constant phase element (Q) increased from 0.398 in the dark to 0.595 under light illumination, indicating the transition towards capacitive behaviour, which aligns with the findings from Dunn's method (Q ∼ 0.5 suggests diffusion-controlled and Q ∼ 1 suggests capacitive-controlled).64 The diffusion coefficient of Cl ions was calculated using the Warburg impedance derived from the plot of Z′ (ohm) versus ω−1/2, following the Warburg equation (eqn (S7)). As shown in Fig. 8(g), the Warburg coefficient (σω) decreased from 214.34 Ω s−1/2 in the dark to 200.16 Ω s−1/2 under light illumination, caused by the development of an internal electric field at the interface. Correspondingly, the Cl diffusion coefficient improved from 1.09 × 10−15 cm2 s−1 (dark) to 1.25 × 10−15 (light), confirming that the resistance decreased between the electrode and electrolyte due to the less polarization concentration.10,65

To assess the cycling performance of the fabricated symmetric device, the stability was monitored over 2600 cycles at 0.6 mA cm−2, as displayed in Fig. 8(h). During the initial 600 cycles under light illumination, the device showed a notable enhancement in capacitance, achieving a retention of 205.9%, reflecting a huge enhancement. However, upon turning off the illumination, the retention decreased to 112%, confirming that the enhancement is purely light-dependent. Furthermore, Ex situ FE-SEM and XPS analyses were performed to examine the morphological and chemical state changes of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 electrode before and after 600 cycles under illumination. As shown in Fig. S9, the overall structure of the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 electrode remains well preserved, showing CN nanosheets and MnO2 nanorods, confirming its structural stability. This indicates that the enhancement in the cycling stability is not due to morphological changes but rather to variations in the chemical state of the electrode. As depicted in Fig. S10, the high-resolution Mn 2p spectra reveal that the proportion of Mn3+ increases from 65.8% to 85.7% after 600 cycles under light illumination. This results in an enhancement in the redox activity during the cycling. A similar trend was reported by Yu et al., where an increase in the oxidation state of V5+ was observed during prolonged cycling, further supporting the chemical-state driven improvement in the charge storage behaviour.66 After 600 cycles under light illumination, the device was further cycled in the dark, showing an excellent stability of 100.4% after 2000 cycles. Fig. 9(a) illustrates the Ragone plot, comparing the energy and power densities of the device under illumination and dark conditions against those of previously reported systems. Under light illumination, an optimal energy density of 0.68 μWh cm−2 was delivered by the device at the corresponding power and current densities of 120.22 mW cm−2 and 0.3 mA cm−2 based on eqn (S4) and (S5). In contrast, under dark conditions, the corresponding energy density was 0.60 μWh cm−2 at a power density of 120.14 mW cm−2.


image file: d5nr03958d-f9.tif
Fig. 9 (a) Comparison of the energy density and power density of M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 with other devices,67–69 (b) plausible charge transfer process in the prepared device under light illumination, and (c and d) digital photos of powering the red LED under dark and light conditions with a series of 4 cells.

The plausible photo-rechargeable mechanism of the fabricated device, along with the band structure, is illustrated in Fig. 9(b). Upon light illumination, both CN and MnO2 capture photon energy, resulting in the generation of electron–hole pairs. Due to the favourable alignment of their band structures, an S-scheme heterojunction is established at the g-C3N4/MnO2 interface. In this configuration, the photoinduced holes present in the valence band of g-C3N4 recombine with the photoexcited electrons of MnO2. Meanwhile, a portion of photogenerated electrons in MnO2 becomes trapped in oxygen vacancies, which inhibits the fast recombination and facilitates more efficient charge separation. The conduction band electrons of CN drift towards the FTO substrate and are transferred via the external circuit. Concurrently, the Cl ions present in the electrolyte attract the valence band holes of MnO2, resulting in the formation of an electric double layer. In the opposite electrode, electrons attract the K+ ions from the electrolyte. The synergistic formation of an S-scheme heterojunction coupled with defect-mediated traps enables improved photoexcited charge separation, resulting in enhanced electrochemical performance of the fabricated device. Fig. 9(c and d) display a series of four cells powering a red LED. Under light illumination, the intensity of the LED increases compared to the dark. Moreover, the LED remained powered for 43 seconds under light illumination, whereas it lasted only 33 seconds in the dark (SI Video). This proof-of-concept experiment verifies that the photo-generated carriers enhance the capacitance of the device. At a relatively higher current density of 0.3 mA cm−2, the M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 device achieves a superior areal capacitance of 7.65 mF, outperforming previously reported photo-rechargeable devices presented in Table 1, with excellent stability under light illumination.

Table 1 Comparison of the present work with recent advancements in photo-rechargeable supercapacitors
S. no. Electrode Light source Areal capacitance under light illumination Capacitance enhancement (%) Cycling stability Ref.
1 Co3O4/g-C3N4 Solar simulator 82.2 mF cm−2 at 10.6 mA cm−2 19.2 83.3% after 5000 cycles 10
2 NM2P1 PLS-LED100 (150 mW cm−2) 466 F cm−3 at 10 A cm−3 24.3 70
3 MXene QD/graphene LED (365, 420, and 475 nm) 10.2 μF cm−2 at 0.30 μA cm−2 70.7 105% after 5000 cycles 71
4 pC3N4/MXene LED (420 nm) 500 μF cm−2 at 10 μA cm−2 1960 67
5 rGO–g-C3N4–ZnCo2O4 (3-electrode) Solar simulator 3472 mF g−1 at 10 mA g−1 30 9
6 M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 Solar simulator 7.65 mF cm−2 at 0.3 mA cm−2 22.9 at 0.7 mA cm−2 205.9% after 600 cycles (light) This work
100.4% after 2000 cycles (dark)


4. Conclusion

In this research, a symmetric solid-state photo-rechargeable supercapacitor was successfully prepared by utilising an M/CN-3[thin space (1/6-em)]:[thin space (1/6-em)]1 composite coated on an FTO substrate. An areal capacitance of 7.65 mF cm−2 was achieved for the heterostructure at 0.3 mA cm−2 under light illumination, reflecting an enhancement compared to its performance in the dark. Furthermore, an areal energy density of 0.68 μWh cm−2 was achieved by the device under light illumination. This enhancement is ascribed to the integration of MnO2 and g-C3N4via an S-scheme heterostructure, confirmed by SKP-derived work function measurements, while PL and photocurrent studies further verify the improved photogenerated charge carrier separation. The oxygen vacancies in MnO2 boost the stability of the device by serving as charge carrier trap states, thereby effectively prolonging their lifetime. Consequently, the device showed a retention of 206% after 600 cycles under light illumination, along with excellent stability, maintaining nearly 100% retention after 2000 cycles in the dark. Overall, this work highlights the functionality of MnO2/g-C3N4 as a promising photocathode for next-generation supercapacitors.

Author contributions

P. Chinnappan Santhosh: writing – original draft, methodology, formal analysis, data curation, and investigation. Suresh Jayakumar: formal analysis and methodology. A. V. Radhamani: supervision, conceptualization, funding acquisition, and review and editing.

Conflicts of interest

The authors declare no conflict of interest.

Data availability

Data will be made available upon reasonable request.

Supplementary information (SI) is available. See DOI: https://doi.org/10.1039/d5nr03958d.

Acknowledgements

A. V. R. gratefully acknowledges the financial support from the Government of India through the start-up research grant (SRG/2021/000629), which facilitated the research presented in this paper.

References

  1. S. Jana, S. Karingula, A. Sajeevan, V. V. N. Phani Kumar and Y. G. Kotagiri, Nanoscale, 2025, 17, 13283–13297 RSC.
  2. N. Tewari, S. B. Shivarudraiah and J. E. Halpert, Nano Lett., 2021, 21, 5578–5585 CrossRef CAS PubMed.
  3. S. Ghosh, S. Bera, A. Kapuria, A. Debnath, P. Das, Y. K. Su and S. K. Saha, Nanoscale, 2025, 17, 15731–15748 RSC.
  4. B. Luo, D. Ye and L. Wang, Adv. Sci., 2017, 4, 1–15 Search PubMed.
  5. Z. Hosseini, M. M. Momeni, B. K. Lee and A. W. Maijenburg, Chem. Eng. J., 2025, 515, 163566 CrossRef CAS.
  6. P. C. Santhosh, S. Jayakumar, M. M. Mohideen and A. V. Radhamani, Mater. Res. Bull., 2024, 174, 112722 CrossRef CAS.
  7. S. Kumar, G. Saeed, L. Zhu, K. N. Hui, N. H. Kim and J. H. Lee, Chem. Eng. J., 2021, 403, 126352 CrossRef CAS.
  8. Y. Li, Z. Xia, Q. Yang, L. Wang and Y. Xing, J. Mater. Sci. Technol., 2022, 125, 128–144 CrossRef CAS.
  9. G. Gupta, S. Hossain, N. Khatun, K. Gaurav, S. Alwarappan and S. C. Roy, ACS Omega, 2025, 10(4), 3729–3739 CrossRef CAS.
  10. L. Bai, H. Huang, S. Zhang, L. Hao, Z. Zhang, H. Li, L. Sun, L. Guo, H. Huang and Y. Zhang, Adv. Sci., 2020, 7, 1–9 Search PubMed.
  11. A. Das Mahapatra, S. Kumar, P. S. Chauhan, A. Mondal, A. Sutradhar and A. Misra, ACS Appl. Energy Mater., 2024, 7, 5801–5810 CrossRef CAS.
  12. X. Liu, Y. Zhu, F. Alam, T. Wang, I. P. Parkin, M. Wang and B. Deka Boruah, J. Mater. Chem. A, 2024, 25801–25811 RSC.
  13. T. Yue, B. Shen and P. Gao, Renewable Sustainable Energy Rev., 2022, 158, 112131 CrossRef CAS.
  14. T. Xiong, W. S. V. Lee and J. Xue, ACS Appl. Energy Mater., 2018, 1, 5619–5626 CAS.
  15. S. Jayakumar, P. C. Santhosh, M. M. Mohideen and A. V. Radhamani, J. Alloys Compd., 2024, 976, 173170 CrossRef CAS.
  16. C. Poochai, C. Sriprachuabwong, J. Sodtipinta, J. Lohitkarn, P. Pasakon, V. Primpray, N. Maeboonruan, T. Lomas, A. Wisitsoraat and A. Tuantranont, J. Colloid Interface Sci., 2021, 583, 734–745 CrossRef CAS.
  17. Y. Li, W. Sun, B. Gao, Y. Meng, X. Wang, X. Z. Song and Z. Tan, ACS Appl. Energy Mater., 2024, 7(23), 11126–11134 CrossRef CAS.
  18. S. Vinoth, K. Subramani, W. J. Ong, M. Sathish and A. Pandikumar, J. Colloid Interface Sci., 2021, 584, 204–215 CrossRef CAS.
  19. J. Wang, X. Guo, R. Cui, H. Huang, B. Liu, Y. Li, D. Wang, D. Zhao, J. Dong, S. Li and B. Sun, ACS Appl. Nano Mater., 2020, 3, 11152–11159 CrossRef CAS.
  20. N. C. Maile, S. B. Mahadik, M. V. Takale and V. J. Fulari, Mater. Res. Express, 2019, 6, 045204 CrossRef.
  21. M. Waqas, A. Shahzadi, A. Haider, A. U. Hamid, M. M. Algaradah, H. S. M. Abd-Rabboh and M. Ikram, Int. J. Biol. Macromol., 2023, 251, 126343 CrossRef CAS.
  22. M. Subbiah, A. Radhakrishnan, M. Tharmaraj, A. Lakshmanan, S. Venkatachalam and N. Srinivasan, J. Alloys Compd., 2024, 1008, 176689 CrossRef CAS.
  23. L. G. Ghanem, M. A. Hamza, M. M. Taha and N. K. Allam, J. Energy Storage, 2022, 52, 104850 CrossRef.
  24. J. Jing, J. Yang, Z. Zhang and Y. Zhu, Adv. Energy Mater, 2021, 2101392, 1–7 Search PubMed.
  25. M. Tayyab, Y. Liu, S. Min, R. Muhammad and Q. Zhu, Chin. J. Catal., 2022, 43, 1165–1175 CrossRef CAS.
  26. N. Zhang, W. He, Z. Cheng, J. Lu, Y. Zhou, D. Ding and S. Rong, Chem. Eng. J., 2023, 466, 143160 CrossRef CAS.
  27. R. Kumar and R. Thangappan, J. Energy Storage, 2023, 70, 108149 CrossRef.
  28. Z. X. Huang, X. L. Zhang, X. X. Zhao, H. Y. Lü, X. Y. Zhang, Y. L. Heng, H. Geng and X. L. Wu, J. Mater. Sci. Technol., 2023, 160, 9–17 CrossRef CAS.
  29. M. Liu, M. Lin, P. Wu, G. Owens and Z. Chen, Sep. Purif. Technol., 2023, 310, 123052 CrossRef CAS.
  30. B. Feng, C. Qin, Y. Shi and L. Zhang, Energy Fuels, 2022, 36, 9221–9229 CrossRef CAS.
  31. X. Han, W. Zhang, S. Li, C. Cheng, Q. Yu, Q. Jia, L. Zhou and G. Xiu, J. Environ. Sci., 2023, 130, 197–211 CrossRef CAS.
  32. A. Zhang, R. Zhao, L. Hu, R. Yang, S. Yao, S. Wang, Z. Yang and Y. M. Yan, Adv. Energy Mater., 2021, 11, 1–11 Search PubMed.
  33. H. Ma, X. Li, M. Tian, L. Li, X. Yu, X. Zhang, Z. Lu and X. Yang, J. Mater. Sci. Technol., 2024, 201, 139–148 CrossRef CAS.
  34. R. Dawar, S. Narang, K. Bhattacharyya, P. M. Aiswarya, D. P. Dutta and R. Mishra, Inorg. Chem., 2024, 63, 14438–14448 CrossRef CAS PubMed.
  35. J. Lu, H. Wang, Y. Sun, X. Wang, X. Song and R. Wang, Chem. Eng. J., 2021, 417, 127894 CrossRef CAS.
  36. T. Wen, J. Wang, J. Zhang and C. Long, Environ. Res., 2023, 238, 117176 CrossRef CAS PubMed.
  37. S. Gao, X. Wang, C. Song, S. Zhou, F. Yang and Y. Kong, Appl. Catal., B, 2021, 295, 120272 CrossRef CAS.
  38. T. Shan, Y. Wang, D. Luo, Z. Huang, F. Zhang, H. Wu, L. Huang, J. Li, L. Chen and H. Xiao, Appl. Catal., B, 2024, 349, 123872 CrossRef CAS.
  39. S. Juntrapirom, S. Anuchai, O. Thongsook, S. Pornsuwan, P. Meepowpan, P. Thavornyutikarn, S. Phanichphant, D. Tantraviwat and B. Inceesungvorn, Chem. Eng. J., 2020, 394, 124934 CrossRef CAS.
  40. M. Majdoub, Z. Anfar and A. Amedlous, ACS Nano, 2020, 14, 12390–12469 CrossRef CAS PubMed.
  41. F. Li, B. Xu, X. You, G. Gao, R. Xu, X.-L. Wang and Y.-F. Yao, Int. J. Hydrogen Energy, 2023, 48, 12299–12308 CrossRef CAS.
  42. M. S. Shabanur Matada, G. P. Kuppuswamy, S. Sasi, S. Velappa Jayaraman, V. Nutalapati, S. Senthil Kumar and Y. Sivalingam, ACS Appl. Mater. Interfaces, 2024, 16, 17219–17231 CrossRef CAS.
  43. C. Shuai, S. Zhong, Y. Shuai, W. Yang, S. Peng and C. He, J. Colloid Interface Sci., 2023, 632, 95–107 CrossRef CAS.
  44. Y. Che, B. Weng, K. Li, Z. He, S. Chen and S. Meng, Appl. Catal., B, 2025, 361, 124656 CrossRef CAS.
  45. H. Zhang, Y. Gao, S. Meng, Z. Wang, P. Wang, Z. Wang, C. Qiu, S. Chen, B. Weng and Y. Zheng, Adv. Sci, 2024, 2400099, 1–13 Search PubMed.
  46. P. Makuła, M. Pacia and W. Macyk, J. Phys. Chem. Lett., 2018, 9, 6814–6817 CrossRef.
  47. M. Wilhelm, R. Adam, A. Bhardwaj, I. Neumann, S. H. Cho, Y. Yamada, T. Sekino, J. Tao, Z. Hong, T. Fischer and S. Mathur, Adv. Eng. Mater., 2023, 25, 1–9 CrossRef.
  48. A. S. Golda, A. P. Varghese, N. Rabiee, B. Neppolian and S. K. Lakhera, Carbon, 2023, 215, 118441 CrossRef.
  49. S. Lu and H. Liu, Langmuir, 2024, 40(26), 13331–13338 CrossRef CAS PubMed.
  50. A. S. Golda, A. P. Varghese, N. Rabiee, B. Neppolian and S. K. Lakhera, Carbon, 2023, 215, 118441 CrossRef.
  51. M. Wang, M. Shen, L. Zhang, J. Tian, X. Jin, Y. Zhou and J. Shi, Carbon, 2017, 120, 23–31 CrossRef CAS.
  52. W. Guo, W. Shi, J. Cai, F. Wei, X. Lin, X. Lu, Z. Ding, Y. Hou, G. Zhang and S. Wang, Catal. Sci. Technol., 2024, 14, 2921–2928 RSC.
  53. B. D. Boruah and A. Misra, ACS Appl. Energy Mater., 2019, 2, 278–286 CrossRef CAS.
  54. I. Chihi, M. Baazaoui, N. Hamdaoui, J. M. Greneche, M. Oumezzine and K. Farah, J. Mater. Sci.: Mater. Electron., 2021, 32, 16634–16647 CrossRef CAS.
  55. W. Liu, Y. Pang, Z. Shi, H. Yue, H. Dong, Z. Cao, Z. Yang, S. Yang and Y. Yin, ACS Appl. Mater. Interfaces, 2022, 14, 11575–11586 CrossRef CAS.
  56. B. Kanrar, N. Pathak, C. Nayak, C. L. Prajapat, R. M. Kadam, S. N. Jha, D. Bhattacharyya, G. Ravikumar and N. L. Misra, J. Mater. Chem. C, 2017, 5, 8836–8846 RSC.
  57. M. Pourshahmir, S. Ghasemi and S. R. Hosseini, Int. J. Hydrogen Energy, 2023, 48, 8127–8143 CrossRef CAS.
  58. G. V. Dilwale, A. C. Pawar, G. Piao, Q. Wang, Z. Said, R. K. Nimat, J. Bin In, J. M. Kim and R. N. Bulakhe, Energy Fuels, 2024, 38, 13355–13364 CrossRef CAS.
  59. Z. Zhang, X. Ren, Y. Wang, C. Luo, G. Wang, C. Xu and H. Chen, J. Energy Storage, 2025, 116, 116091 CrossRef.
  60. M. M. Mujawar, V. V. Patil, V. S. Kumbhar, U. M. Patil, N. R. Chodankar, A. Al Ghaferi, M. Nakayama and J.-J. Shim, J. Power Sources, 2025, 642, 236980 CrossRef CAS.
  61. M. Benali, J. Azadmanjiri, M. Loula, Z. Liao, R. Gusmão, A. Subramani, K. J. Sarkar, R. Boukherroub and Z. Sofer, ACS Appl. Nano Mater., 2024, 7, 14102–14114 CrossRef CAS.
  62. M. Najafi, M. Mohsen Momeni and B. K. Lee, Chem. Eng. J., 2024, 493, 152423 CrossRef.
  63. D. Zheng, X. Sun, C. An, F. Pan, C. Qin, Z. Wang, Q. Deng, Y. Song and Y. Li, Chem. Eng. J., 2023, 473, 145289 CrossRef CAS.
  64. G. P. Scisco, M. E. Orazem, K. J. Ziegler and K. S. Jones, J. Power Sources, 2021, 516, 230700 CrossRef CAS.
  65. X. Gao, D. Tian, Z. Shi, N. Zhang, R. Sun, J. Liu, H. S. Tsai, X. Xiang and W. Feng, Small, 2024, 2405627, 1–8 Search PubMed.
  66. M. Yu, Y. Zeng, Y. Han, X. Cheng, W. Zhao, C. Liang, Y. Tong, H. Tang and X. Lu, Adv. Funct. Mater., 2015, 25, 3534–3540 CrossRef CAS.
  67. S. Kumar, A. Mondal, V. Panwar, R. Shekhawat and A. Misra, Batteries Supercaps, 2024, 7, 1–11 Search PubMed.
  68. A. Das Mahapatra, S. Kumar, A. Sutradhar, S. Sahoo and A. Misra, Electrochim. Acta, 2023, 474, 143507 CrossRef.
  69. R. Sinha, N. Roy and T. K. Mandal, Chem. Eng. J., 2022, 431, 133915 CrossRef CAS.
  70. H. Wang, J. Cao, Y. Zhou, X. Wang, H. Huang, Y. Liu, M. Shao and Z. Kang, Nano Res., 2021, 1–7 Search PubMed.
  71. A. Das Mahapatra, S. Kumar, P. S. Chauhan, A. Mondal, A. Sutradhar and A. Misra, ACS Appl. Energy Mater., 2024, 7, 5801–5810 CrossRef CAS.

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