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Enhanced CO2 photo-reduction under visible light irradiation by rGO incorporated Cu2O nanocomposite
*Corresponding author E-mail address: marifuzzaman@kfu.edu.sa (MD Arifuzzaman)
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Received: ,
Accepted: ,
Abstract
In this study, cuprous oxide (Cu2O) was employed as a photocatalyst for reduction reactions under visible light. To enhance its photocatalytic activity, varying proportions of reduced graphene oxide (rGO) were incorporated, and the reduction performance was evaluated under different light sources to determine the yields of CH₄ and CO. X-ray diffraction (XRD) confirmed the successful synthesis of Cu₂O, while transmission electron microscopy (TEM), scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS) were used to characterize the material’s morphology, composition, and valence band position. The photocatalytic reactions were conducted using 15W green, blue, and red light-emitting diodes (LEDs) as light sources. Water vapor, generated from a water container, was introduced into the reaction chamber to interact with the photocatalyst. The resulting CH4 and CO yields were quantified using gas chromatography (GC). Under red, green, and blue light irradiation, the methane yields were 24.24 μmol g-1, 21.82 μmol g-1, and 20.59 μmol g-1, respectively, while the cumulative CO yields were 26.05 μmol g-1, 25.76 μmol g-1, and 24.65 μmol g-1, respectively. For the 2:1 Cu2O:rGO composite, the quantum yields were 0.30%, 0.22%, and 0.18% for CH4 and 0.08%, 0.06%, and 0.05% for CO under red, green, and blue light, respectively.
Keywords
Carbon Monoxide
Methane
Photocatalytic efficiency
Quantum yields
Reduced graphene oxide-cuprous oxide (rGO-Cu2O)
1. Introduction
The rapid progress in science and technology has led to a substantial increase in carbon dioxide emissions, significantly contributing to global climate change. Concurrently, the world faces growing energy shortages, driving researchers to explore sustainable and eco-friendly methods for converting CO2 into valuable products (Khan et al., 2022; Lou et al., 2022; Kuo et al.,2011). Recent industrial expansion has further intensified this challenge, causing a sharp rise in greenhouse gas emissions and exacerbating the earth’s greenhouse effect. In response, extensive research has focused on mitigating greenhouse gases and transforming them into viable energy sources. Among these approaches, the photocatalytic conversion of CO2 into methane (CH4) stands out as a particularly promising solution for future energy sustainability (Wang et al., 2020; Kumar et al., 2019; Wang et al., 2021).
Methane (CH4), a potent greenhouse gas, has seen a 9% increase in emissions over the past decade, driven by rising global demand for energy and food. Approximately 60% of these emissions are anthropogenic, with the largest contributions coming from agriculture and waste management, up to 30% of which stems from ruminant digestion in livestock such as cattle and sheep. Additionally, 20% of emissions arise from combustion during oil and gas extraction, while 11% originate from coal mine leaks (Zhang et al., 2014). Despite its role in climate change, methane offers advantages as an energy resource due to its environmental compatibility, safety, low pollution, efficient low-temperature combustion, and stable long-term combustion properties (de_Richter et al., 2011; Pastrián, et al., 2018; Zhang et al., 2021). Carbon monoxide (CO) is an odorless, colorless, and amply toxic gas that connects to hemoglobin, forming carboxyhemoglobin (HbCO). This complex disrupts oxygen transport, leading to hypoxemia (Hwang et al., 2021; Zeng et al., 2021; Wang et al., 2021). Concentrations as low as 667 ppm can convert up to 50% of hemoglobin into HbCO, posing severe poisoning risks. However, despite its toxicity, CO serves as a valuable reagent in synthesizing inorganic and organic compounds, as well as chemical intermediates, due to its ability to mix readily with other gases (Zhang et al., 2020; Liu et al., 2019). Advances in photocatalytic CO2 reduction on Cu2O were reviewed by followings. In 2020, it was reported the solvothermal synthesis of Cu2O@Cu@UiO-66-NH2, a ternary nanocomposite capable of reducing CO2 to CO and CH4 (Wang et al., 2020). The uniform dispersion of UiO-66-NH4 on Cu2O@Cu, along with well-defined nanocubes and p-n junctions acting as electron mediators, charge carrier density and enhance visible light absorption. This structure assisted the migration and separation of photogenerated electrons, significantly improving photocatalytic CO2 reduction (Wang et al., 2020). The system achieved yields of 8.3 μmol g-1 h-1 (CH4) and 20.9 μmol g-1 h-1 (CO), demonstrating a promising strategy for designing efficient CO2 photoreduction catalysts. It was developed a Z-scheme Cu₂O/Bi/BiVO4 composite, consisting of BiVO4 nanochains (monoclinic m-BiVO4 or tetragonal t-BiVO4), metallic Bi nanoparticles, and Cu2O nanosheets. By tuning reaction conditions, the team controlled the Bi and Cu2O content within the BiVO4 crystal phase. Photoreduction tests under a 300W xenon lamp revealed that both the Cu2O content and the BiVO4 crystal phase critically influenced activity. The augmented Cu2O/Bi/m-BiVO4 displayed markedly higher CH4/CO evolution rates (1.8/8.4 μmol g⁻1 h⁻1) compared to Bi/m-BiVO4 (0.32/1.9 μmol g⁻1 h⁻1) and pure Cu2O (0.12/1.0 μmol g⁻1 h⁻1). The superior performance of Cu2O/Bi/m-BiVO4 over Cu2O/Bi/t-BiVO4 was attributed to its Z-scheme heterojunction, which provided a large surface area, improved visible light absorption, efficient charge separation and abundant oxygen vacancies. The study concluded with a proposed charge transfer mechanism to explain the enhanced photocatalytic activity (Zheng et al., 2021).
Cu2O was chosen as the primary material for this study owing to its exceptional suitability for photocatalytic CO2 reduction. As a p-type semiconductor, Cu2O exhibits excellent optical properties, non-toxicity, and environmental compatibility, making it an ideal candidate for sustainable photocatalytic applications (Mohammed et al., 2021; Jiang et al., 2020; Tan et al., 2019). Graphene, a 2D monolayer of sp2-hybridized carbon atoms, is renowned for its remarkable electronic and mechanical properties (Lei et al., 2022). Graphene oxide (GO), a soluble derivative of graphene, features a hexagonal honeycomb lattice functionalized with oxygen-containing groups (e.g., carboxyl, hydroxyl, epoxy, and carbonyl). This amphiphilic structure, combining hydrophilic and lipophilic characteristics, enables GO to disperse uniformly in composite slurries, enhancing its utility in photocatalytic systems (Méndez et al., 2019). Various methods, including photocatalysis, thermocatalysis, and electrocatalysis, have been explored for CO2 reduction. Among these, photocatalysis stands out due to its ability to harness solar energy without requiring additional energy inputs. However, the widespread adoption of sunlight-driven CO2 reduction has been hindered by the limited conversion efficiency of existing photocatalysts. A critical challenge lies in designing materials that optimally utilize the solar spectrum to achieve high conversion rates (Usubharatana et al., 2019). To address this, we developed composite photocatalysts by integrating materials with wide and narrow band gaps, enabling simultaneous CO2 reduction and water oxidation. To precisely evaluate their light absorption properties, we employed wavelength-specific light emitting diode (LED) sources: Blue light (412-505 nm), Green light (427-622 nm) and Red light (640-680 nm). The enhanced yield observed under these conditions is attributed to the improved absorbance within the targeted wavelength bands, which effectively suppresses electron-hole pair recombination (Zhu et al., 2025; Tang et al., 2017). In a photocatalytic system, light irradiation generates electron-hole pairs: holes in the valence band oxidize water or oxygen. The electrons in the conduction band lower CO₂ to carbonaceous fuels (e.g., methane, carbon monoxide, methanol) (Zhu et al., 2025; Kazemi et al., 2020). This dual functionality underscores the potential of tailored photocatalysts for sustainable energy conversion.
This analysis investigates the role of reduced graphene oxide (rGO) in enhancing the photocatalytic reduction of CO2 using Cu2O-based composites. The primary objectives are to increase the material’s surface area to maximize active sites for CO2 adsorption and reaction. It is also the motivation to suppress electron-hole recombination through rGO incorporation, thereby improving charge carrier utilization and to optimize the rGO/Cu₂O ratio to achieve superior photocatalytic performance and establish a clear structure-activity relationship. By systematically varying the rGO content and characterizing the resulting composites, this work aims to develop an efficient, stable photocatalyst for selective CO2 conversion into value-added products. The findings will provide critical insights for designing high-performance photocatalytic systems for sustainable CO2 utilization.
2. Materials and Methods
2.1 Chemicals and materials
All chemicals (copper(II) acetate, sodium hydroxide, glucose, graphite oxide, and ethanol) were purchased from Sigma-Aldrich and used without further purification. Material preparation of cuprous oxide was done by the following procedure. Copper acetate (2.9946 g) was added to deionized water (20 mL) and stirred continuously in a 50 mL beaker. The sodium hydroxide post-solution (5 g NaOH, 10 mL of deionized water) was added dropwise and the solution was heated to 70°C for 5 min. When the solution temperature reached 70°C, glucose (0.58 g) was immediately added and mixed thoroughly. Upon the addition of glucose, the solution gradually changed in color from black to dark red. The reaction mixture was maintained at 70°C for 1 h. After completion, the resulting product was washed three times each with deionized water and ethanol to remove impurities, then dried under vacuum at 60°C (Fig. S1 in the supplementary file). The rGO-Cu2O preparation is as followings. At first, Cu2O was added to 60 mL of ethanol. Then, dried rGO powder was added and the solution was stirred for 2.5 h. After the completion of stirring, the obtained black-red powder composite was filtered and placed into oven at 80°C. It was then crushed into fine powder (Fig. S2 in supplementary file).
2.2 Instrumentation and methods
2.2.1 Instruments of characterization
X-ray diffraction (XRD) configurations of as-prepared samples have been documented on a Shimadzu XRD-6000X diffractometer with Cu Kα1 radiation source (λ = 1.5404 Å) and the scanning angle ranging from 10° to 80°. Scanning electron microscopy (SEM) was conducted using a HITACHI TM4000 Plus Tabletop Microscope. High-resolution transmission electron microscopy (HR-TEM) was performed using a JEOL JEM-2010 microscope. X-ray photoelectron spectroscopy (XPS) data were collected at National Chung Hsing University using a ULVAC-PHI PHI 5000 Versa probe II. The photonic controller used in the experiment is a Model Spectrometer SPM-002, owned by National Chung Hsing University. This instrument functions as a light irradiation detection kit, capable of directly analyzing the spectral data of a light source via its internal chip. Additionally, the input intensity of the light source can be adjusted by modifying the shutter size, allowing for more precise analysis of the light source.
2.2.2 Gas chromatography
Gas chromatography (GC) analysis was performed using a China Gas Chromatography Personal GC 1000 equipped with a 15-foot Carboxen 1000 column. The GC operating conditions were as follows: injection temperature, 60°C; column temperature, 100°C; and detector temperature, 100°C. GC separates compounds based on differences in their molecular size and polarity. The sample is vaporized and carried by a mobile phase (carrier gas) through a column containing a stationary phase. As the components of the mixture interact with the stationary phase, they elute from the column sequentially and are detected. In this experiment, a thermal conductivity detector (TCD) was used. The 15-foot Carboxen 1000 column was operated with the following temperatures: injection zone, 60°C; column, 100°C; and detector, 100°C. For quantitative analysis, the peak area in the chromatogram is proportional to the analyte concentration.
2.2.3 Photocatalyst reactor
Approximately 0.05 g of the sample was weighed and placed in a weighing bottle, which was then transferred to the reaction tank. The tank was sealed and evacuated. Using a mass flow controller, CO2 was passed through an Erlenmeyer flask containing 15 mL of water at a flow rate of 15 mL/min, introducing both CO₂ and water vapor into the reaction tank for 30 min before illumination (Fig. 1a). This process was repeated every hour for a total of six injections. After each injection, a 1 mL gas sample was extracted using a sealed syringe and analyzed by GC. A 15W green LED (wavelength = 427∼622 nm), 15W blue LED (wavelength = 412∼505 nm), and 15W red LED (wavelength = 640∼680 nm) were used as the visible light irradiation sources, which were set above the glass container. The spectra of green, blue, and red LED lights have been presented in Fig. 1(b).

- (a) CO2 photocatalytic reaction system diagram (b) spectra of 15 W green LED, 15 W blue LED, and 15 W red LED.
3. Results and Discussions
3.1 Characterization of photocatalysts
3.1.1. XRD and structural analysis
The elemental composition and crystal structure of the materials were investigated using XRD. The XRD pattern of the rGO-Cu₂O composite (Fig. 2) exhibited characteristic peaks for Cu₂O at 29.3°, 36.3°, 42.0°, 61.0°, 73.3°, and 77.2°, corresponding to the (110), (111), (200), (220), (311), and (222) crystal planes, respectively (Mohammed et al., 2021; Jiang et al., 2020). Additional peaks at 38.0° and 44.1° confirmed the successful formation of the composite (Méndez et al., 2019). Due to the non-uniform distribution of rGO on Cu2O, some XRD peaks appeared less pronounced. The crystallite size of Cu2O was assessed using Scherrer’s equation, revealing minimal variation in particle size.

- XRD patterns of single material, composite material, and optimal ratio.
3.1.2. Morphological and elemental analysis
SEM revealed that the synthesized Cu2O particles exhibited an octahedral morphology, with smaller particles adhering to their surfaces (Figs. 3a-d). While initial observations suggested the presence of rGO, further verification was conducted. Energy-dispersive spectroscopy (EDS) mapping (Fig. 4a-d) confirmed the presence of Cu and O, supporting the incorporation of rGO in the composite. This was further corroborated by the atomic number contrast principle, where elements with higher atomic numbers (e.g., Cu) appeared brighter in the micrographs.

- (a) SEM image of Cu2O (octahedron), (b) SEM image of Cu2O (tetrahedron), (c) Cu2O EDX diagram, (d) Cu2O mapping diagram.

- (a) SEM image of (octahedral) cuprous oxide/rGO in a ratio of 2:1 low magnification, (b) SEM image of (octahedral) cuprous oxide/rGO in a ratio of 2:1, (c) 2:1 ratio (octahedral) cuprous oxide/rGO EDS diagram, (d) 2:1 ratio cuprous oxide/rGO mapping diagram.
3.2 Experimental results of photoreduction reaction
Once a sample component has completely eluted through the detector, the signal returns to the baseline. The time elapsed between sample injection and the appearance of a peak is termed the retention time (tR). Peak areas were determined by integration software. These peak areas, representing the retention volume, were then compared to the peak areas obtained from 100 ppm methane and carbon monoxide standards. The cumulative production of each gas was calculated by integrating the peak areas from multiple injections.
In this study, different light sources were used to irradiate the photocatalytic materials to diminish carbon dioxide to carbon monoxide and methane. The cumulative methane production was 24.24 μmol g⁻1 under red light, 21.82 μmol g⁻1 under green light, and 20.59 μmol g⁻1 under blue light. The corresponding cumulative carbon monoxide yields were 26.05 μmol g⁻1, 25.76 μmol g⁻1, and 24.65 μmol g⁻1, respectively (Figs. 5a-d). These results suggest that the optimal performance of Cu2O occurs under red light irradiation. Additional experiments were conducted using tetrahedral cuprous oxide. The octahedral Cu2O structure demonstrated improved CO and CH4 production compared to the tetrahedral structure, likely due to differences in the reduction potential of the different crystal planes.

- (a) Cu2O (octahedron) cumulative CH4 production under different light sources, (b) Cu2O (octahedron) cumulative CO production under irradiation with different light sources, (c) Cu2O (tetrahedral) CH4 cumulative production chart under different light sources, (d) Cu2O (tetrahedral) CO cumulative production chart under different light sources.
The yield graphs from different experiments have been listed above. We can find that in the different ratios of cuprous oxide and graphene composites, the best ratio is 2:1 (octahedral) cuprous oxide/graphene and the best light source red light, so that the accumulative yield of methane and carbon monoxide is 25.36 μmol g-1 and 43.32 μmol g-1, respectively, which are the best yields (Figs. 6a-c).

- (a) Cu2O (octahedral) blue light hourly cumulative methane production chart, (b) Cu2O (octahedral) green light cumulative methane production per hour chart, (c) Cu2O (octahedron) red light hourly cumulative methane production chart.
Using red, green, and blue light sources, we conducted long-term illumination experiments with varying proportions of the composite material. Methane and carbon monoxide production was monitored. The 15W red LED proved to be the most effective of the three light sources, yielding the highest production of both methane and carbon monoxide. Furthermore, the 2:1 Cu₂O:rGO ratio demonstrated optimal performance under red light irradiation (Figs. 7a-c).

- (a) Cu2O (octahedral) blue light cumulative carbon monoxide production per hour chart, (b) Cu2O (octahedral) green light cumulative carbon monoxide production per hour chart, (c) Cu2O (octahedron) red light cumulative carbon monoxide production per hour chart.
3.2.1 Quantum yields
Quantum yield quantifies the efficiency of photon utilization in photochemical reactions. It represents the number of product molecules formed per photon absorbed. This metric is commonly used in studies investigating the interaction of light sources of varying wavelengths with photocatalytic materials (Zhu et al., 2025). The calculated quantum yields for the photocatalysts studied, compared against the selected light sources, are presented below:
ϕ: quantum yield
n: Number of molecules generated
NA: Avogadro constant
c: speed of light
ℎ: Planck constant
l: wavelength of light excitation
P: Light power density
r: Light receiving radius (m)
Δt: unit reaction time
The following is a single material (ortho octahedron) oxide copper oxide with different light sources to test the quantum production rate
Methane green LED: CO2 + 8e- + 8 H+ → CH4 + 2H2O
Carbon monoxide green LED: CO2 + 2e- + 2H+ → CO + H2O
Methane blue light LED: CO2 + 8 e- + 8 H+ → CH4 + 2H2O
Carbon monoxide blue light LED: CO2 + 2e- + 2H+ → CO + H2O
Methane red light LED: CO2 + 8 e- + 8 H+ → CH4 + 2H2O
Carbon monoxide red light LED: CO2 + 2e- + 2H+ → CO + H2O
The quantum yield calculations suggest that red light provides optimal performance. Key factors influencing quantum yield include light intensity and photon scattering. Calculations reveal that the full width at half maximum (FWHM) of the red light is significantly greater than that of the green and blue light sources, indicating a broader spectral range. The enhanced illumination intensity of the red light also contributes to better photon quantum efficiency. Furthermore, the UV-Vis absorption range of Cu₂O aligns closely with red light. Consequently, blue light generates fewer effective electrons. It was also observed that other wavelength bands experienced significant light interference, negatively impacting their effectiveness. In conclusion, red LED light was identified as the optimal light source. Calculations further revealed that the 2:1 Cu₂O:rGO material under the 15W red LED yielded a CH₄ quantum efficiency 1.125 times greater than that under the 15W green LED, and 1.134 times greater than that under the 15W blue LED. Similarly, the CO quantum efficiency under the 15W red LED was 0.930 times that under the 15W green LED, and 0.938 times that under the 15W blue LED.
The photocatalytic reduction of CO₂ using rGO-Cu₂O nanocomposites presents a promising strategy to combat rising atmospheric CO₂ levels while simultaneously producing valuable fuels such as methane (CH₄), methanol (CH₃OH), or carbon monoxide (CO). The synergistic effects between Cu₂O (a p-type semiconductor with visible-light absorption) and rGO (a conductive support with high electron mobility) enhance charge separation and suppress electron-hole recombination, leading to superior photocatalytic activity. This research not only contributes to sustainable energy solutions but also aligns with the UN’s Sustainable Development Goals (SDGs) by addressing clean energy (SDG 7) and climate action (SDG 13).”
3.3 Photoreduction reaction mechanism
The photocatalytic reaction of pure cuprous oxide (Cu₂O) under visible light (570–670 nm) was analyzed. The incorporation of graphene extended the absorption range, enhancing visible light utilization. When irradiated, valence band electrons in Cu₂O are excited to the conduction band, generating electron-hole pairs. The holes oxidize water, while the electrons reduce CO₂. However, Cu₂O suffers from rapid electron-hole recombination, lowering efficiency. Under high-energy blue light, electrons are excited to higher energy levels but are often lost as heat or through relaxation, reducing yield. In contrast, red and green light—with intensities exceeding the reduction potentials of CO and CH₄—exhibit higher quantum yields (Fig. 8). Graphene modification also alters product selectivity. In pure Cu₂O, the energy band favors CO production over CH₄. However, the Cu₂O/rGO heterojunction shifts the reduction potential, suppressing CO formation while promoting CH₄, a more economically valuable product.

- Photoreduction reaction mechanism of rGo-Cu2O composite material.
The photoreduction reaction mechanism proceeds via the following Eqs. (1–5) (Zhu et al., 2025; Wang et al., 2021; Kumar et al., 2019). Under visible light irradiation, valence electrons are excited and transferred to the conduction band of the as-prepared Cu₂O/rGO heterojunction, leading to the separation of photogenerated electron-hole pairs (Eq. 1). Water (H₂O) molecules then react with photoinduced holes (h⁺) to produce oxygen (O₂) and protons (H⁺) (Eq. 2). Subsequently, carbon dioxide (CO₂) reacts with these protons and electrons to form carbon monoxide (CO) and water (Eq. 3). The generated CO can further react with additional electrons and protons to yield methane (CH₄) and water (Eq. 4). Alternatively, CO₂ may directly undergo reduction with electrons and protons to produce CH₄ and H₂O (Eq. 5).
4. Conclusions
The synthesis of octahedral Cu₂O nanoparticles via a coprecipitation method, followed by their integration with tuned proportions of rGO, has led to a highly efficient photocatalytic system for CO₂ reduction. The 2:1 rGO-Cu₂O composite demonstrated optimal performance, benefiting from: Enhanced Visible-Light Absorption. The octahedral morphology of Cu₂O improves light harvesting, while rGO extends the absorption range. In suppressed Electron-Hole Recombination, rGO acts as an electron sink, facilitating charge separation and prolonging carrier lifetimes. Lowered Activation Energy for Methane Production involves electron transfer from Cu₂O to rGO; this not only drives CO₂ reduction but also dissipates excess energy as heat, reducing the energy barrier for CH₄ formation. Specifically, the CH₄ quantum efficiency under the 15W red LED was 1.125 times higher than that under the 15W green LED, and 1.134 times higher than that under the 15W blue LED. The CO quantum efficiency under the 15W red LED was 0.930 times that under the 15W green LED, and 0.938 times that under the 15W blue LED.
Acknowledgement
This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (Grant No. KFU250151).
CRediT authorship contribution statement
Wei Yi Lin: Design, literature search, experimental studies, data acquisition, data analysis, manuscript preparation; Ren-Jang Wu: Concepts, experimental studies, manuscript editing, manuscript review; Ammar Fayez Al-Shayeb: Literature search, data analysis, manuscript preparation, funding acquisition; MD Arifuzzaman: Design, data analysis, manuscript preparation, funding acquisition.
Declaration of competing interest
The authors declare that they have no competing financial interests or personal relationships that could have influenced the work presented in this paper.
Data availability
Data is available to the corresponding author based on reasonable request.
Declaration of Generative AI and AI-assisted technologies in the writing process
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Supplementary data
Supplementary material to this article can be found online at https://dx.doi.org/10.25259/JKSUS_720_2025.
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