Shamsiya
Shams†
a,
B.
Bindhu
*a,
Adhigan
Murali†
b,
R.
Ramesh
*c,
Abdullah Al
Souwaileh
d and
Sung Soo
Han
*b
aDepartment of Physics, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, 629180, Tamilnadu, India. E-mail: bindhu.krishna80@gmail.com
bSchool of Chemical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, 38541, Republic of Korea. E-mail: sshan@yu.ac.kr
cDepartment of Chemical Engineering, School of Mechanical, Chemical and Material Engineering, Adama Science and Technology University, Adama, P.O. Box-1888, Adama, Ethiopia. E-mail: ramesh.redrouthu@astu.edu.et
dDepartment of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
First published on 15th January 2025
Two-dimensional (2D) hybrid materials, particularly those based on boron nitride (BN) and graphene oxide (GO), have attracted significant attention for energy applications owing to their distinct structural and electronic properties. BN/GO composites uniquely combine the mechanical strength, thermal stability and electrical insulation of BN with the high conductivity and flexibility of GO, creating advanced materials ideal for the fabrication of batteries, supercapacitors and fuel cells. These hybrids offer synergistic effects, enhanced charge transport, increased surface area, and improved chemical stability, making them promising candidates for high-performance energy systems. Despite their potential, challenges, such as achieving scalable synthesis and uniform BN–GO dispersions and poor interface compatibility, have limited the widespread adoption of BN–GO hybrids. To address these limitations, this study is focused on the scalable synthesis of BN–GO composites via a liquid-phase exfoliation method with ultrasonication, followed by preparation of sodium thiosulfate (STS)-functionalized BN–GO composites (STBG), which exhibited high electrochemical properties suitable for energy storage. The structural identification was confirmed using FT-IR, Raman, XRD, and UV-vis spectroscopy. Thermal stability of the samples was assessed by TGA, while their morphological analysis was performed using HR-TEM, TEM, and SEM. Pristine BN showed negligible efficiency, whereas STS functionalization elevated the efficiency of STBN to 81.7%, while the incorporation of GO in STBG1 and STBG2 boosted their efficiency to 89.3% and 83.3%, respectively. STBG1 exhibited a nearly rectangular, symmetrical CV curve at various scan rates, demonstrating excellent capacitive behavior. Furthermore, it achieved the highest specific capacitance of 115.82 F g−1 at a current density of 1 A g−1, together with a coulombic efficiency of 89.3%, indicating its superior charge transfer and minimal energy loss. Additionally, STBG1 retained 87.3% of its capacity, while STBG2 retained 81.7% even after 3000 charge/discharge cycles. These findings highlight that STBG1 is a promising composite with high capacitance, strong rate capability, and exceptional coulombic efficiency, making it a viable candidate for next-generation energy storage systems.
In this present work, we report the novel synthesis of functionalized boron nitride/graphene oxide composites (see Scheme 1). Their synthesis involved simple dispersion and ultrasonication methods. The ultrasonication method aided in the dispersion of BN and GO, while prolonged stirring ensured thorough mixing of the materials. Hexagonal boron nitride was subjected to an exfoliation process, and then functionalized using sodium thiosulphate to form STBN. Subsequently, GO was dispersed in STBN to form STBN/GO composites. The structural, morphological and electrochemical studies of the samples were analyzed and the results are discussed.
S. no | Ratio | GO (g) | STBN (g) | Sample code |
---|---|---|---|---|
1 | 1![]() ![]() |
0.3 | 0.6 | STBG1 |
2 | 1![]() ![]() |
0.3 | 0.9 | STBG1 |
The average crystallite size of STBN, STBG1 and STBG2 was calculated using the Scherrer equation, as follows:
D = Kλ/β![]() ![]() | (1) |
It was noted that the size of the synthesized composites is in the nanoscale range. The corresponding strain was calculated. The dislocation density is a measure of dislocation/defects present in the material, which is related to its crystallite size and lattice strain (see Table 2).
S. no | Sample | Crystallite size, D (Å) | Strain, ε (%) | Dislocation density (ρ) |
---|---|---|---|---|
1 | STBN | 309.4 | 0.370 | 1.04 |
2 | STBG1 | 517.2 | 0.223 | 0.374 |
3 | STBG2 | 487.6 | 0.317 | 0.421 |
The dislocation density (ρ) was calculated as follows:
ρ = 1/D2 | (2) |
STBG1 with the largest crystalline size [517.2 Å] showed the lowest dislocation density. STBG2 also exhibited good crystallinity but it was slightly inferior to that of STBG1. Functionalization and introduction of GO into BN lattice induced strain, which created microstructural distortion. In the case of STBG1 and STBG2, the strain decreased compared to that of STBN, indicating their enhanced structural stability due to the incorporation of GO.
The FTIR analysis of STBG1 and STBG2 within the spectral range of 500 to 4000 cm−1 is shown in Fig. 2. The STBN/GO composites reveal distinct peaks indicating the presence of various functional groups and bonding interactions. The peaks in the spectrum of exfoliated BN are located at 813.15 cm−1 and 1384.70 cm−1 (see Fig. 2(a)). STBG1 revealed FTIR peaks at 607 cm−1, 1015 cm−1, 1243 cm−1, 1252 cm−1, 1393 cm−1, 1606 cm−1, and 2368 cm−1 (see Fig. 2(b)). The peak at 607 cm−1 is due to the bending vibrations induced in BN in STBG1 upon its functionalization using sodium thiosulphate. The peak at 1393 cm−1 also confirms the presence of BN. The FTIR spectrum of STBG2 exhibits characteristic peaks at 599 cm−1, 1007 cm−1, 1109 cm−1, 1235 cm−1, 1385 cm−1, 2352 cm−1, and 3477 cm−1 (Fig. 2(c)). The presence of oxygenated functional groups from GO is indicated by the peaks at 1015 cm−1 and 1007 cm−1 in both STBG1 and STBG2. An intense V-shaped peak is obtained in the spectrum of STBG2 compared to that of STBG1, which exhibits the B–O stretching vibrations in the composite. The broad U-shaped peak at 3500 cm−1 and 3477 cm−1 represents the presence of O–H vibrations in STBG1 and STBG2, respectively. The variations in the peak positions in the composite materials are because of the difference in their degree of functionalization, ratio of samples mixed, and interaction between the individual components, STBN and GO.
The UV-visible analysis provides the adsorption peaks exhibited by the synthesized composites, thus delivering insights into their electronic transitions, as depicted in Fig. 3. The UV-visible spectra of exfoliated BN and graphene oxide show distinctive peaks at 215 nm and 226 nm, respectively.23,24 The positioning of the peak as well as its intensity ensures the electronic structure of a material. The energy–wavelength equation is identified as Energy (eV) = 1240/λonset (nm), where λonset is the wavelength. Table 3 presents the calculated energy (eV) of the composite materials.
S. no | Sample code | λ onset (nm) | Energy (eV) |
---|---|---|---|
1 | Exfoliated BN | 204 | 6.07 (ref. 25) |
2 | STBG1 | 276 | 4.49 |
3 | STBG2 | 309 | 4.01 |
In Fig. 3(a), STBG1 exhibits a peak at 276 nm, indicating that the electronic structure of the STBN/GO composite differs from that of the exfoliated BNNS. The coupling between STBN and GO resulted in the formation of a hybrid electronic structure with extended π-conjugation across the interface. The greater incorporation of STBN enhanced the overall conjugation within the composite material, further decreasing the energy bandgap. The interaction between STBN and GO modified the density of states near the valence band and conduction band of the composite, resulting a shift in their UV visible spectral analysis. The formation of a new bond between STBN and GO resulted in the hybridization of the orbitals, thus tuning the energy levels and band gaps. The physical mechanism involves a reduction in the energy gap due to the hybridization of the electronic state between GO and STBN, with an enhancement in the delocalization of π-electrons. The interactions between STBN and GO induced changes in the energy levels of the composite material, thus initiating a shift in the adsorption peak. The peak at 309 nm corresponds to the STBG2 composite (Fig. 3(b)). The increase in STBN content in the STBG2 composite resulted in an increase in the overall conjugation in the composite. Greater conjugation resulted in a decrease in the energy gap value.
The theoretical analysis of the modification mechanism of sodium thiosulphate-functionalized boron nitride (STBN) and GO composites is pivotal to support the experimental findings, particularly regarding their electronic properties such as bandgap reduction. Density functional theory (DFT) and quantum mechanical calculations involve computational calculations to identify the electronic interactions as well as densities in predicting the properties of a material. The mechanical properties of the sodium thiosulphate-functionalized boron nitride-based graphene oxide composites (STBG1 and STBG2) were significantly improved by their structural interactions. The DFT calculations revealed the integration of these two materials, leading to improved hardness and tensile strength, which are crucial in developing robust materials for engineering applications.26 Adjusting the composition ratios of BN and GO also tunes their electronic properties, including bandgap.27 It is also evident from the DFT calculations that the electronic bandgap of BN was reduced from 5.94 eV to 11.61 eV with the incorporation of dopants and graphene monolayers.28 The bandgap reduction in STBG1 and STBG2 is correlated with the theoretical findings. The UV-visible analysis showed a narrowing in their bandgap. The theoretical models also predicted this behavior by simulating the interface states and hybridized electronic structures. Therefore, the theoretical analysis initiates a framework for explaining the experimental results of bandgap reduction in the BN–GO composites, supporting our experimental work.
TGA analysis was employed to investigate the change in the mass of the samples with temperature. Fig. 4 indicates the occurrence of phase transitions within the samples with a change in temperature in a controlled nitrogen atmosphere. Fig. 4(a–c) present the TGA curves for BNNS, STBG1, and STBG2, respectively. The temperature at which exfoliated BN begins to degrade was estimated to be at 203.5 °C, with a total weight loss of 0.5% recorded. The onset degradation temperature of STBG1 is located at 165.3 °C in Fig. 4(b). In addition, there is an immediate mass loss of about 2.35%. The elimination of volatile components or surface species from the boron nitride-graphene oxide composite as the temperature increased is reflected in the initial mass loss measured during the TGA analysis. The reduction in mass was determined to be 18.88% and 8.56% before the stable plateau area. The thermal breakdown patterns of graphene oxide and boron nitride differ. Thus, the combined breakdown of the two components is responsible for the mass loss evident in the composite. Functional groups containing oxygen, such as epoxides and carbonyls, are bound to the carbon structure of graphene oxide. These functional groups are prone to breaking down at high temperatures during the TGA analysis. There is a significant mass loss in STBG1 when these components split apart and are desorbed as gases. According to Fig. 4(c), STBG2 displays the onset degradation temperature at 150.8 °C with mass losses of 3.35%, 20.21%, and 7.35%, respectively. The initial weight loss is explained by the high-temperature vaporization of the adsorbed water molecules on the STBG2 surface. In addition, the TGA investigation implies that in comparison to boron nitride and graphene oxide, this composite material is more susceptible to thermal degradation at lower temperatures.
The cyclic voltammetry (CV) analysis of STBN, STBG1, and STBG2 was tested in a 3-electrode configuration at different scan rates (5 mV s−1, 25 mV s−1, 50 mV s−1, 75 mV s−1, and 100 mV s−1) in the potential window of 0 to 0.45 V, as presented in Fig. 5. Fig. 5(a) illustrates the CV curve of STBN at different scan rates. The CV curve of STBN at lower scan rates indicates capacitive behavior similar to the electric double-layer capacitance (EDLC) nature. At higher scan rates, the CV curves became more distorted, resulting in large current responses, which increased the peak current density, introducing resistive losses and reduced capacitance.
![]() | ||
Fig. 5 Electrochemical analysis of the electrode materials in 6 M aq. KOH in a 3-electrode system. Voltammograms of (a) STBN, (b) STBG1, and (c) STBG2 at varying scanning rates. |
The mechanism explaining the redox process at STBN is as follows:
• Boron nitride is exfoliated (e-BN) and functionalized using sodium thiosulphate. The thiosulphate ions from the solution adsorb on the surface of e-BN. The thiosulphate peaks undergo oxidation at the anodic peaks to form sulfate ions, releasing water and electrons.
S2O32− + 5OH− → 2SO42− + 3H2O + 4e− | (3) |
• The cathodic reactions involve the reduction of hydroxide ions to water, producing electrons. The water molecules are reduced to form hydrogen gas and hydroxide ions.
2H2O + 2e− → 2OH− + H2(g) | (4) |
These reactions indicate that the redox process is reversible with thiosulphate and sulfate ions interconverting in the potential range of 0 to 0.45 V. The CV curves of STBG1 depict a quasi-rectangular-shaped curve at lower scan rates, depicting capacitive behavior, which is characteristic of materials utilized in supercapacitors (see Fig. 5(b)). The STBG1 composite exhibits EDLC behavior as its primary charge storage mechanism.29–35 The symmetry of the curves for STBG1 between the positive and negative sweeps specifies its good reversibility in the charging–discharging process. At a scan rate of 5 mV s−1, the CV curves of STBG1 are more rectangular, as the ions form a stable double layer at the electrode–electrolyte interface, suggesting efficient charge storage with minimal resistive losses. STBG1 exhibited excellent capacitive behavior even at a high scan rate. The current density increased with the scan rate, and thus STBG1 can handle higher currents. The presence of GO in STBG1 enhanced its electrical conductivity and overall capacitance, facilitating further electron transfer. Fig. 5(c) illustrates the CV curves of the STBG2 composite. At a lower scan rate, the 5 mV s−1, STBG2 composite exhibited good capacitive behavior. At a higher scan rate of 75 mV s−1, the CV curves became more distorted with a substantial increase in the current density and more prominent skewness. The increase in STBN content in STBG2 compared to that of STBG1 introduced more resistive elements, increased number of active sites, and potential aggregation, particularly at higher scan rates. The CV curves of STBG1 cover the largest area among the samples, indicating high capacitive behavior.
The GCD test of STBN, STBG1, and STBG2 was performed at current densities of 1 A g−1, 2 A g−1, 3 A g−1, and 5 A g−1 in the potential window of 0 to 0.45 V. in an aq. KOH electrolyte in a 3-electrode system, as illustrated in Fig. 6. The symmetrical shape of the charge–discharge curves and the triangular features indicate strong electrochemical capacity, sufficient reversibility, and a significant contribution to EDLC nature. The main metric used to evaluate the performance of an electrode is specific capacitance (CSC), which quantifies the ability of an electrode to store and deliver electric charges and is proportional to the discharge time obtained from the GCD curves. The specific capacitance is mathematically expressed using the following equation:
![]() | (5) |
The CSC of STBN, STBG1, and STBG2 at a current density of 1 A g−1 was calculated to be 10.62 F g−1, 115.82 F g−1, and 99.15 F g−1, respectively. Compared to STBN, the CSC value of STBG1 and STBG2 increased due to the presence of graphene oxide (GO) in them. GO provides numerous active sites in the STBG1 and STBG2 composites for electrochemical reactions due to its large surface area. STBG1 exhibited a greater specific capacitance given that it is comprised of a lower STBN ratio compared with STBG2. The improved conductivity in STBG1 and STBG2 reduced the internal resistance in these composites, allowing faster charging–discharging rates and higher CSC values than STBN. The GCD analysis of the samples matches well with the CV analysis. The CSC of STBN at a current density of 2 A g−1 is 8.93 F g−1 (see Fig. 6(a)). The CSC value decreased with an increase in current density. The limited surface area in STBN for ion adsorption and charge storage restricted its overall capacitance.
The CSC of STBG1 at current densities of 3 A g−1 and 5 A g−1 was 109.06 F g−1 and 57 F g−1, respectively (Fig. 6(b)). Fig. 6(c) indicates that the specific capacitance of STBG2 at the above-mentioned current densities is 31.46 F g−1 and 28.44 F g−1, respectively. The electrochemical performance of the samples was evaluated using coulombic efficiency (CE), which represents the ratio of discharge time to charging time in a charge–discharge cycle. The efficiency of pristine boron nitride is negligibly small. Upon functionalizing BN using sodium thiosulphate, STBN exhibited an efficiency of 81.7%, given that thiosulphate groups introduce conductive groups on the surface of BN, thus improving its conductivity. Accordingly, STBG1 and STBG2 samples also exhibited a high efficiency of about 89.3% and 83.3% due to the addition of GO. The rate capability of 0.492 for STBG1 revealed that it retained a significant portion of its specific capacitance at high current densities. STBG2 showed a lower rate capability of 0.28, which ensures that its performance is more sensitive to high current densities.
Cyclic stability is a crucial parameter to investigate the long-term performance of battery/supercapacitor applications.36 A higher capacitance retention value denotes the better stability of the material, and therefore it can withstand multiple charge–discharge cycles with a minimum loss in its capacity. The electrochemical performance was determined for the STBG1 and STBG2 composites galvanostatically charged and discharged for about 3000 cycles. Fig. 6(d) indicates the cyclic performance and stability of the STBG1 and STBG2 composites, which exhibited a gradual decrease in capacitance retention with an increase in the number of cycles. STBG1 consistently indicated a higher capacitance retention of about 87.3%. The capacitance retention of 81.7% was observed for the STBG2 composite in the tested cycle range. The superior performance of STBG1 is due to its structural stability, electrolyte compatibility and enhanced charge transfer kinetics. The incorporation of GO in STBN improved its surface area and introduces more active sites. This ensured faster charge transfer and lowered the resistance during cycling, contributing high coulombic efficiency, as observed in STBG1. The strong interfacial bonding in STBG1 minimized the material degradation during repeated cycling, enhancing its capacity retention value compared to that of STBG2.
Scanning electron microscopy (SEM) is an indispensable tool in materials science, offering insights into the surface morphology and microstructural characteristics of materials. The SEM image of sodium thiosulphate-functionalized BN (STBN) is presented in Fig. 7(a). The SEM images revealed a heterogeneous distribution of STBN with varying sizes and shapes. The SEM images of the exfoliated BN indicate the presence of characteristic sheet-like structures. STBN depicted oval-shaped flakes that are crumbled and folded, indicating layered structures. Some regions display multiple flakes clustered together and are the key evidence for agglomeration. Agglomeration is visible at distinct places due to the van der Waals forces between the BN layers. The scale bar (200 nm) portrays that the lateral dimensions of the individual nanosheets in the range of approximately 100 nm to 300 nm. The SEM images of the composite materials comprised of STBN/graphene oxide (GO), STBG1 and STBG2, are depicted in Fig. 7(b and c), respectively. The sheet-like wrinkled structures with a relatively smooth surface in STBG1 represent the presence of GO in the composite. A uniform distribution of STBG1 regions with higher concentrations of each component (STBN and GO) overlaps and intersects with each other. Noticeable aggregates are seen in certain domains, where STBN flakes and GO clustered together, where the presence of GO provides an additional surface area to the composites and facilitates better interfacial bonding. STBN flakes are discernible and uniformly dispersed in the STBG2 composite. The larger continuous region reveals the presence of GO sheets, which support and blend with the STBN structure for the successful incorporation and formation of the STBG2 composites. Functionalizing BN improved the interaction between BN and GO. Closely packed aggregates were obvious in the SEM analysis. It is also noticeable that the higher concentration of STBN in GO induced particle agglomeration given that sodium thiosulfate (STS) is hydrophilic, which is visible in the STBG2 composite when compared to STBG1.
A novel approach to improve the electrochemical properties of STBN/GO composites is using STS as a functionalizing agent. The ultrasonication process disrupts the van der Waals forces between the boron nitride layers, further resulting in the exfoliation of BN sheets. The ultrasonication step also increased the surface area of BN and generated active sites on the surface of the nanosheets. It is also noted that sodium thiosulphate is a strong nucleophile, and thus it reacted with the surface defects/active sites as well the functional groups on BN nanosheets. The thiosulphate in STS formed covalent bonds with the metal ions present in the structure of BN. STS also improved the dispersibility of BN in aqueous media and facilitated the formation of strong interfacial bonds with GO. The introduction of STS resulted in a change in the conductivity of the composite by providing additional charge carriers. Thus, the functionalized BN nanosheets facilitated efficient charge transfer, thus improving the electrochemical performances. The combination of conductive graphene oxide and STS-functionalized BN also created a highly conductive network, further improving the overall electrochemical performance of the composite.
Raman analysis provides valuable insights into the structural and compositional characteristics of materials. The Raman spectra of STBN, STBG1 and STBG2 are presented in Fig. 8(a–c), respectively. The STBN sample exhibited Raman peaks at 274 cm−1, 656 cm−1, 829 cm−1 and 1012 cm−1. The Raman spectrum of STBN showed the characteristics peaks of BN, confirming its presence in the sample. The peak at 274 cm−1 corresponds to the symmetric stretching of the BN bonds, while the sharp and intense peak at 829 cm−1 represents the S–S stretching mode of the STS, which introduced new functional groups, altering the vibrational modes of the existing groups and leading to shifts in its Raman peaks.
STBG1 displays the Raman peaks at 434 cm−1, 669 cm−1, 832 cm−1 and 1016 cm−1, while STBG2 exhibits peaks at 662 cm−1, 836 cm−1, and 1003 cm−1. Additionally, both STBG1 and STBG2 show a D band at 1355 cm−1 and G band at 1612 cm−1, confirming the presence of graphene in the composites. The appearance of new peaks in STBG1 and STBG2 indicates bending vibrational modes, resulting from the interaction between GO and STBN. The shifts in Raman peaks for STBG1 and STBG2 compared to STBN suggest changes in bonding and strain caused by STS functionalization and the incorporation of GO. The addition of GO induced significant structural modifications in STBG1 and STBG2, as evidenced by the new peaks and noticeable shifts in its Raman spectrum. These shifts indicate strong interactions between STBN and GO, leading to charge transfer and vibrational and electronics properties of STBG1 and STBG2, demonstrating the synergy between STBN and GO in the composites.
The high-resolution transmission electron microscopy (HR-TEM) images of STBN, STBG1 and STBG2 are denoted in Fig. 9(a–c), respectively. The HR-TEM image of STBN reveals a predominant structure with regions of poorly defined lattice fringes. In contrast to STBN, the HR-TEM images of STBG1 and STBG2 reveal a distinct flower-like structures dispersed across the GO matrix, formed by the aggregation of STBN and GO, resulting in a greater surface area and increased active sites for potential reactions and catalytic activities. Clear lattice fringes are visible particularly in regions adjacent to the STBN/GO interfaces. The wrinkled structure of GO is visible and helps to accommodate STBN. The STBG1 and STBG2 composites display well defined lattice fringes, initiating the preservation of the crystallinity of BN with good bonding in the GO matrix (see Fig. 9(b and c)). The interplanar spacing of STBN, STBG1 and STBG2 was determined to be 3.46 Å, 3.28 Å and 3.43 Å, respectively. The relatively lower amount of STBN in STBG1 compared to STBG2 resulted in superior characteristics in terms of functionality. The transmission electron microscopy (TEM) images of STBN, STBG1 and STBG2 highlight the structural and morphological variations between STBN and its composites with graphene oxide (STBG1 and STBG2), respectively. The images were captured at a uniform scale of 20 nm, allowing a comparative evaluation. Fig. 9(d) exhibits the TEM image of STBN, revealing a distinctly layered dense morphology and a uniform distribution of layers. The successful functionalization with sodium thiosulphate enhanced the dispersibility of BN. In STBG1, the STBN particles appears to be relatively small and uniformly distributed with GO, indicating good interfacial interaction between STBN and GO (see Fig. 9(e)). Fig. 9(f) illustrates the TEM image of STBG2, possessing a higher density of STBN particles than STBG1. The increase in STBN content in STBG2 led to aggregation with visible clusters. These agglomerates indicate the reduced dispersion of STBN at a higher loading, hindering the overall integration of the composite.
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Fig. 9 HR-TEM images of (a) STBN, (b) STBG1 and (c) STBG2. TEM images of (d) STBN, (e) STBG1, and (f) STBG2. |
Footnote |
† Equally contributed. |
This journal is © The Royal Society of Chemistry 2025 |