Raman Spectra Analysis Research Articles

Detection of lung cancer through SERS analysis of serum

Early detection and postoperative assessment are crucial for improving overall survival among lung cancer patients. Here, we report a non-invasive technique that integrates Raman spectroscopy with machine learning for the detection of lung cancer. The study encompassed 88 postoperative lung cancer patients, 73 non-surgical lung cancer patients, and 68 healthy subjects. The primary aim was to explore variations in serum metabolism across these cohorts. Comparative analysis of average Raman spectra was conducted, while principal component analysis was employed for data visualization. Subsequently, the augmented dataset was used to train convolutional neural networks (CNN) and Resnet models, leading to the development of a diagnostic framework. The CNN model exhibited superior performance, as verified by the receiver operating characteristic curve. Notably, postoperative patients demonstrated an increased likelihood of recurrence, emphasizing the crucial need for continuous postoperative monitoring. In summary, the integration of Raman spectroscopy with CNN-based classification shows potential for early detection and postoperative assessment of lung cancer.

Fine-Tuning of the Excitonic Response in Monolayer WS2 Domes via Coupled Pressure and Strain Variation.

We present a spectroscopic investigation of the vibrational and optoelectronic properties of WS2 domes in the 0-0.65 GPa range. The pressure evolution of the system morphology, deduced by the combined analysis of Raman and photoluminescence spectra, revealed a significant variation in the dome's aspect ratio. The modification of the dome shape caused major changes in the mechanical properties of the system resulting in a sizable increase of the out-of-plane compressive strain while keeping the in-plane tensile strain unchanged. The variation of the strain gradients drives a nonlinear behavior in both the exciton energy and radiative recombination intensity, interpreted as the consequence of a hybridization mechanism between the electronic states of two distinct minima in the conduction band. Our results indicate that pressure and strain can be efficiently combined in low dimensional systems with unconventional morphology to obtain modulations of the electronic band structure not achievable in planar crystals.

Static and dynamic disorder in ion-implanted silica glass

Structural disorder in solid-state materials has a direct impact on the complex of its physicochemical properties and functional characteristics of developed devices. The purpose of this work is to establish the influence of ion irradiation of SiO2 glass on static and dynamic disorder separately. Silica glasses implanted with carbon ions were studied using optical absorption spectroscopy and Raman spectroscopy. The temperature behavior of the fundamental absorption edge was considered in terms of the Urbach rule. The dose dependences of the root-mean-square atomic displacements caused by static and dynamic disorder were obtained. Analysis of Raman spectra confirmed the optical spectroscopy data and revealed a decrease in the medium-range order size along with topological changes in the SiO2 structure after ion implantation. The described step-by-step technique for quantitatively assessing the degree of static and dynamic disorder is universal and can be used to analyze other materials.

Effects of polyoxymethylene dimethyl ethers (PODEn) on soot characteristics in isooctane inverse diffusion flames

Polyoxymethylene dimethyl ethers (PODEn, n = 1–3) such as dimethoxymethane (DMM) and PODE3 are considered highly promising alternative fuels due to their lack of C–C bonds and significant oxygen contents. Particularly, PODE3-blends with diesel have been proven to substantially reduce soot emissions and fuel consumption rates under optimized engine conditions, although the impact on soot nanostructure properties remains unclear. This study explored the effects of DMM and PODE3 on soot characteristics in isooctane (i-octane) inverse diffusion flames, focusing on soot morphology, soot nanostructure, soot nanocrystallite, and soot spectral features. To compare soot particles behavior, DMM and PODE3 blended as the isooctane substitute (by 20% and 40% volumetric fractions) were examined with various diagnostic techniques, including high-resolution transmission electron microscopy (HRTEM), X-ray diffraction (XRD), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS).The results showed that DMM and PODE3 contributed to a reduction in sooting tendency from i-octane flames, whereas the average soot mass decreased significantly as the PODE3 ratio increased, consistent with a higher oxygen concentration. Therefore, 20% PODE3/i-octane exhibited growing disorganized arrangements of soot particles with shorter fringes, smaller crystallite sizes, and a relatively lower degree of graphitization than 20% and 40% DMM additions. However, XPS analysis indicated that soot produced from PODE3/i-octane mixtures had less oxygen atoms because PODE3 has multiple –CH2O- chain groups that can convert oxygen into carbon monoxide with little soot production. Moreover, HRTEM, XRD, and Raman spectra analyses of 40% PODE3-doped flames confirmed an exceptional correlation with turbostratic soot structure, as manifested by the shortest fringe length, longest fringe tortuosity, more amorphous soot with the smallest crystallite dimensions, and least degree of graphitization.

Structural and optical properties of 1T-MoS2/MoO3 thin films prepared by spray pyrolysis method

Electrical properties of the devices based on two dimensional (2D) transition metal dichalcogenids thin films, is highly depended to their producing method and preparation conditions. In the present work structural and optical properties of MoS2/MoO3 nano-heterostructure films prepared by spray pyrolysis technique were studied. X-ray diffraction analysis revealed a phase transformation from hexagonal semiconducting 2H–MoS2 to octahedral metallic 1T-MoS2 phase by decreasing the molarity of ammonium molybdate as the precursor solution. The controllable phase transition provides a degree of freedom to pave the way for more novel devices. UV–Vis absorption spectra and photoluminescence (PL) spectroscopy confirm the presence of monolayer MoS2 with a direct band gap of ∼1.84 eV, related to a peak position at 674 nm in the composite. A change in the sample's band gap by annealing treatment on the hybrid films is, here reported. We found three different band gap of 1.7, 2.1 and 2.25 eV for the three composite samples and discussed the case. The highest PL quantum yield (QY) of the 1T-MoS2 based composite make it as a better candidate for photocatalysis applications. A brief discussion of the Raman spectra analysis from a prepared MoS2/MoO3 sample is also included. The present work illustrates the potential use of composite based heterostructures in electrical devises where higher conductivity of the metallic phase of MoS2 nanostructures is needed.

A metabolic map and artificial intelligence-aided identification of nasopharyngeal carcinoma via a single-cell Raman platform.

Nasopharyngeal carcinoma (NPC) is a complex cancer influenced by various factors. This study explores the use of single-cell Raman spectroscopy as a potential diagnostic tool for investigating biomolecular changes associated with NPC carcinogenesis. Seven NPC cell lines, one immortalised nasopharyngeal epithelial cell line, six nasopharyngeal mucosa tissues and seven NPC tissue samples were analysed by performing confocal Raman spectroscopic measurements and imaging. The single-cell Raman spectral dataset was used to quantify relevant biomolecules and build machine learning classification models. Metabolomic profiles were investigated using ultra-performance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). By generating a metabolic map of seven NPC cell lines, we identified an interplay of altered metabolic processes involving nucleic acids, amino acids, lipids and sugars. The results from spatially resolved Raman maps and UPLC-MS/MS metabolomics were consistent, revealing an increase of unsaturated fatty acids in cancer cells, particularly in highly metastatic 5-8F and poorly differentiated CNE2 cells. The classification model achieved a nearly perfect classification when identifying NPC and non-NPC cells with an ROC-AUC of 0.99 and a value of 0.97 when identifying 13 tissue samples. This study unveils a complex interplay of metabolic network and highlights the potential roles of unsaturated fatty acids in NPC progression and metastasis. This renders further research to provide deeper insights into NPC pathogenesis, identify new metabolic targets and improve the efficacy of targeted therapies in NPC. Artificial intelligence-aided analysis of single-cell Raman spectra has achieved high accuracies in the classification of both cancer cells and patient tissues, paving the way for a simple, less invasive and accurate diagnostic test.

Preparation of a MoS2/carbon nanotube nanocomposite by hydrothermal method for supercapacitor

Molybdenum disulfide (MoS2) grown on carbon nanotube (CNT@MoS2) with core-shell structure were prepared via hydrothermal method for use as electrode materials in supercapacitors. In this study, we report the effects of carbon nanotube of different ratio on the electrochemical performances of MoS2/CNT nanocomposites. MoO3 prepared from ammonium molybdate tetrahydrateis mixed with CNT and L-cysteine as precursors for MoS2/CNT synthesis. The flower-like MoS2 was successfully synthesized to grow on carbon nanotubes by hydrothermal method. The results of XRD and Raman spectrum analysis show that the experimental product is hexagonal 2 H-MoS2. The synthesized MoS2 shows nanosheet structure of about 3 nm thickness and uniformly grown on the wall of carbon nanotube from SEM images. Cyclic voltammetry test on the MoS2/CNT electrode depicts purely electrostatic polarization in the voltage range of 0–0.6 V with the calculated areal specific capacitance of 87 F/g for the composite with 50 wt% of CNT at a scan rate of 10 mV/s.

Structural evolvement of 1-methyl-3,4,5-trinitropyrazole at high pressure

Explosives, a type of energetic material (EM), face a high-pressure environment in the detonation process or under shock conditions. Determining their high-pressure behavior is critical to their explosion and safety. 1-Methyl-3,4,5-trinitropyrazole (MTNP), a carrier of melt-cast explosives, exhibits the potential for replacing trinitrotoluene (TNT). However, there is limited knowledge about its structural evolvement at high pressure. Using a diamond anvil cell (DAC), this study investigated the structural variation of MTNP through in situ high-pressure synchrotron angle-dispersive X-ray diffraction (ADXRD) experiments and Raman measurements. As evidenced by the results, MTNP underwent phase transition at 8.7 GPa and amorphization at 15.3 GPa due to high pressure. Through the analysis of first-principles calculations and Raman spectra, this study proposed the mechanisms behind the changes in MTNP at high pressure. Furthermore, this study systematically explored the structural evolvement of MTNP and the evolution of its weak intermolecular interactions at high pressure, gaining further understanding of MTNP's detonation and safety.

Determination of zearalenone content in wheat by modified one-dimensional convolutional neural network-based Raman spectra

In this study, a Raman spectral model trained based on Transformer-improved one-dimensional convolutional neural network (1D-CNN) was proposed for the quantitative analysis of zearalenone in wheat. Raman spectra of wheat flour samples with varying levels of mold contamination were acquired using a portable Raman spectrometer. The 1D-CNN was introduced to extract local features of Raman spectra using three convolutional layers, and then the Transformer module was employed to encode and decode these local features for obtaining global information. This approach ensured that the network could better learn complex input spectra data, thereby improving the detection accuracy and precision of the model. The results showed that the improved 1D-CNN model had better generalization performance compared to the 1D-CNN model, with a root mean square error of prediction (RMSEP) of 2.5759 μg/kg, a coefficient of determination (RP2) of 0.9837, and a relative prediction deviation (RPD) of 7.9516. The study demonstrated that the 1D-CNN model improved by Transformer could achieve better feature self-learning and multivariate model correction of Raman spectroscopy data. This research introduces a novel reference method for chemometric analysis of Raman spectra.

Fabrication of a robust zwitterionic coating on glass with anti-fogging, anti-frosting, self-cleaning and antibacterial properties via UV-induced grafting polymerization

In this work, glass slides were separately silanized by silane coupling agents, 3-(trimethoxysilyl) propyl methacrylate (TPM) and 3-(mercaptopropyl) trimethoxysilane (MPS). Then, in presence of a photoinitiator, multifunctional hydrophilic coatings were fabricated facilely on these silanized glasses via UV-induced grafting polymerization of zwitterionic acrylic monomer methacryloxyethyl sulfobetaine (SBMA). The results showed that both TPM and MPS silanized glasses could participate in the UV-induced grafting polymerization of SBMA, while more SBMA could be grafted to the former glass to gain a little bit higher hydrophilicity. The structure, morphology and properties of the multifunctional glasses were investigated fully. As the hydrophilic polymer brushes poly(SBMA) (pSBMA) covalently attached to the glass surface, the glasses could render a series of excellent performances, including underwater superoleophobicity, anti-fogging, anti-frosting, abrasion resistance, self-cleaning and antibacterial adhesion, and especially high stability even after being immersed in water for 20 days. The strong interaction of pSBMA and water was confirmed via differential scanning calorimeter (DSC) and Raman spectrum analysis, to explicit the anti-fogging mechanism. Therefore, it is promising that the scalable multifunctional glass fabricated via UV-induced grafting polymerization could be potentially applied in the fields of automobile, bathroom, medical, etc.

Insight into the Role of the Pore Structure and Surface Functional Groups in Biochar on the Adsorption of Sulfamethoxazole from Synthetic Urine

The study assessed the influence of pyrolysis temperature on the properties of hickory sawdust and peanut shells based biochar, particularly its pore structure, surface functional groups, and adsorption capacity. Results from SEM analysis demonstrated that higher pyrolysis temperatures led to an enhanced pore structure and surface roughness in biochars, providing increased adsorption capacity. Raman spectrum analysis revealed higher levels of disorder and graphitization in biochars pyrolyzed at elevated temperatures. Quantification of surface functional groups using the Boehm method indicated a shift in the abundance of basic and acidic groups under high pyrolysis conditions. Employing the FHH model, fractal characteristics were observed in the pore structure of different biochars, with high-temperature biochars displaying increased disorder. The study also explored the mechanism of SMX adsorption onto biochars, revealing higher adsorption capacity for biochars with richer pore structures and rougher surfaces. The Elovich model proved to be the best fit for describing the chemisorption process of SMX onto the biochars. Moreover, the study demonstrated the impact of urine ions on SMX adsorption onto the biochars. These findings provide valuable insights into the properties and potential applications of biochars in environmental remediation.

Ca-doped birnessite for enhanced photocatalysis of water oxidation

Birnessite is an affordable and high-efficiency catalyst for water oxidation. In this study, we attempted to doping Ca into birnessite to investigate the influence on its photocatalytic oxidation activity. The study was carried out through a combination of experimental investigations and DFT calculations of the relevant crystal and electronic structures. The analysis of Raman spectra using 2T2D correlation and DFT indicates that Ca contributes more to the high frequency regions (400–600 cm−1) than K. DFT further reveals that the introduction of Ca leads to an increase in the number of localized electrons at the Fermi energy level and in the conduction band. Photo-electrochemical experiments demonstrate a significant reduction of 100 mV/dec in the Tafel slope, along with a 1.48-fold increase in photo-current density for Ca-birnessite when compared to K-birnessite. In general, the results demonstrate that Ca-birnessite can effectively heighten visible light absorption, reduce the band gap, and enhance water oxidation activity.

Carbon nanotubes grown by plasma enhanced chemical vapor deposition of acetylene in the presence of water vapor

Carbon nanotubes can be synthesized using various techniques. This work aims to study the experimental process of growing carbon nanotubes via plasma-enhanced chemical vapor deposition (PECVD). Additionally, the study aims to calibrate the reactor and develop a LabVIEW code to introduce water into the process, enabling a water-assisted PECVD procedure. The obtained samples are evaluated through the analysis of SEM images and Raman spectra.

One-step amination of MWCNTs in RF-dielectric barrier discharge Ar–N2-H2 plasmas

Plasmas technology is a simple way to functionalize the surface of multi-wall carbon nanotube MWCNT. Homogenous plasma of Ar–N2-H2 gas mixture was generated in radio frequency RF dielectric barrier Discharge DBD at discharge power of 60 W and total pressure of 500 Pa. The active plasma species was monitored by optical emission spectroscopy OES. While the untreated and treated MWCNTs were investigated with various techniques. The result from OES shows complex spectrum with spectral line/bands related various species such as OH, N2, CN, C2, Hα and Are I, confirming the rich plasma environment, as well as possible active interaction between the MWCNTs and the plasma species. The TEM images of the treated samples revealed the roughness of the CNT outer surface. The X-ray photo electron emission XPS results confirm the presence of nitrogen-based functional groups (C–NC, C–NHO and (CO)–N-(CO)) on the plasma treated MWCNTs. Raman spectrum analysis confirms the functionalization of the treated MWCNTs as the ID/IG ratio increased for the treated sample. The Ar–N2-H2 plasma treatment of MWCNTs undamaged the MWCNTs structure and preserved integrity as observed by XRD result and SEM image.

Analytical method for stable background reduction for Raman spectra of carbon‐containing meteorite and terrestrial samples suffering from intense fluorescence

AbstractChemical states of carbon in terrestrial (meta) sediments and carbonaceous chondrites gather attention as a geothermometer. As a nondestructive analytical method, Raman spectroscopy has been widely used to study their electronic properties, crystallinity, and structural defects through so‐called D and G bands. For the analysis of Raman spectra, a common problem is coexistence of a fluorescence background, which should be subtracted prior to the peak‐fitting analysis. However, we recently faced a problem that the band shape noticeably changed depending on the background function assumed although the background seemed to be well subtracted at a first glance regardless of the choice of the background function. For the application of the Raman spectroscopy as a geothermometer, a standard background subtraction method must be established to suppress the arbitrariness. In the present study, Raman spectra of seven carbon‐containing natural samples, whose background intensities were significantly different, were measured, and their background shape was evaluated by first‐, second‐, and third‐order polynomials. The results indicated that the third‐order polynomial was necessary and sufficient as a standard background function. Importantly, although lower order polynomials seem to successfully fit the background at a first glance, they falsely caused dispersion of the shoulder band shape.

Impact of samarium on structural and dielectric properties of U-type hexaferrites synthesized by a sol-gel auto combustion route: Analysis of XPS, Raman and FTIR spectra

In this work, the impact of rare earth element samarium "Sm" substitution on Ba4Co2SmxFe36-xO60 U-type hexaferrites was studied in detail. Five compositions with step size x = 0.00, 0.025, 0.050, 0.075 and 0.1 were synthesized. These five series were prepared using the sol-gel auto-combustion method and the samples were sintered for 6 h at 1250 °C. The synthesized samples were characterized by XRD, FTIR, Raman Spectroscopy, X-ray photoelectron Spectroscopy and vector network analyzer (VNA). The structure crystallography of Ba4Co2SmxFe36-xO60 was examined via XRD. The impact of Sm3+ substitution was assessed across all lattice parameters. Lattice constants 'a' and 'c' were found between 5.886 and 5.881 Å and 113.179 to 113.037 Å, respectively. FTIR was used to learn more about the crystal structure and atomic vibrations between 400 and 1000 cm−1 wave number, where higher frequency bands appear at 570 cm−1 (tetrahedral site) and the lower frequency band occurred at 424 cm−1 due to the metal-oxygen stretching vibration (Fe-O) bond at the octahedral site. Each spectrum supported a U-type hexagonal structure i.e. an investigation of the chemical and intermolecular bonds via Raman spectra. XPS confirms the presence of elements in materials. Different dielectric parameters were observed in the 1 MHz to 6 GHz range of all prepared samples. Cole-Cole graphs of prepared materials highlighted the influence of grain boundaries. A solitary semicircle in the impedance of a specific section of grain boundaries was evidenced through Cole-Cole plots. Dielectric properties strongly depend on electron hopping between Fe2+ and Fe3+ ions. The optimized parameters suggest the utility of these materials in microwave devices, multilayer chip inductors and high-frequency electrical circuit applications to reduce skin effects.

Analytical Py-GC/MS study on conversion behaviors and reaction mechanism of biochar-mediated catalytic upgradation of primary pyrolytic products from lignocellulosic biomass

This study aims to demonstrate the general carbocatalytic conversion behaviors and reaction mechanisms of representative biomass-derived primary pyrolytic products towards product upgradation. Specifically, 4-Ethylguaiacol (4-EGC) and 5-hydroxymethylfurfural (5-HMF) were selected as lignin- and cellulose/hemicellulose-derived model compound, respectively, to elucidate the origin of products under different temperatures and biochar-reactant mixing ratios. Three reaction routes were distinguished, including side-chain elimination, ring opening and recombination, with each route exhibiting unique characteristics in terms of initiation temperature and selectivity. For 4-EGC, elimination of side-chains began at 500 °C, accompanied by alkyl transfer reactions to generate multi-alkyl-substituted phenols, while ring-opening started at 700 °C, and aromatics could be simultaneously produced. Biochar did not change the initiation temperature of each route but significantly influenced the product distribution. Comparing the biochar-reactant mixing ratio of 0 and 10:1, at 600 °C the selectivity towards phenols increased from 20.52 % to 54.98 %, and at 800 °C the selectivity towards aromatics increased from 14.28 % to 53.01 %. For 5-HMF, the elimination of side chains already began at 400 °C, and the ring-opening started at around 600 °C, but recombination products (phenols and aromatics) would not notably emerge until 700 °C. Biochar could both lower the initiation temperature of each reaction route and change the conversion efficiency for 5-HMF owing to the lower stability of furan ring. However, the impact of biochar on selectivity towards aromatics was less pronounced compared to 4-EGC. Even at 800 °C, the relative content of aromatics only reached 28.88 % with a biochar-reactant mixing ratio of 10:1 for 5-HMF. Comparative investigations on biochar structure before and after co-pyrolysis reactions further revealed that, at 600 °C, biochar maintained its structural integrity, but at 800 °C, it underwent significant changes, including amorphous carbon deposition covering the surface. Raman spectra analysis supported these findings, showing that biochar becomes more amorphous after reactions at 600 °C, while at 800 °C, larger aromatic ring systems form on the biochar, reducing defect sites.

Specificity of carbon nanotube accumulation and distribution in cancer cells revealed by K-means clustering and principal component analysis of Raman spectra.

Single-walled carbon nanotubes (SWCNTs) show great potential for their application as cancer therapeutic nanodrugs, but the efficiency and mechanism of their accumulation in the cell, the modulation of cell activity, and the strong dependence of the results on the type of capping molecule still hinder the transfer of SWCNTs to the clinic. In the present study, we determined the mechanism and sequence of accumulation, distribution and type discrimination of SWCNTs in glioma cells by applying K-means clustering and principal component analysis (PCA) of Raman spectra of cells exposed to SWCNTs capped with either DNA or oligonucleotides (ON). Based on the specific biochemical information uncovered by PCA and further applied to K-means, we show that the accumulation of SWCNT-DNA occurs in two phases. The first phase involves the transport of SWCNT-DNA through vesicles and its redistribution in the cytoplasm, which is reflected in two SWCNT-related clusters. The second phase begins after 18 hours of interaction between cells and SWCNT-DNA. PCA shows the appearance of two SWCNT-associated PC loadings, reflected by the addition of a new cluster of SWCNTs with a narrowed and shifted G-peak in the spectra. It is caused by the loss of DNA capping and clumping of SWCNTs and triggered by the acidic conditions in autolysosomes resulting from the fusion of transport vesicles with lysosomes. SWCNTs penetrate all cellular compartments after 42-66 hours and lead to cell death. The clumped SWCNTs are released to the outside. In contrast, SWCNT-ON is hardly accumulated in glioma cells and after 72 hours of exposure to SWCNT-ON, the accumulation of SWCNTs corresponds to the first stage without reaching the second. PCA made it possible to separate the characteristics of cellular components against the high-intensity Raman signal from nanotubes and, thus, to propose the mechanism of accumulation and metabolism of nanomaterials in living cells without the use of additional research approaches. Our results elucidate the time dependence of the accumulation of SWCNTs on the capping molecule. We expect that our results can make an important contribution to the use of these nanomaterials in the clinic.

Two-dimensional layered MOF nanosheets with multiple binding sites for selective detection and removal of Fe(III) ions

Heavy metal contamination has become an urgent global concern, posing a significant threat to our environment and health. Hence, it is critical to exploit functional materials for heavy metal ions sensing and elimination. However, the development of multifunctional materials that can simultaneously accomplish the selective detection and removal of the metal ions remains a significant challenge. In this work, a two-dimensional (2D) layered metal–organic framework (LMOF) functionalized with diverse binding sites has been utilized to concurrently detect and remove Fe3+ ions. The LMOF [Zn(hsb-2) (5-aipa)](HSB-W15) was rationally designed and constructed from the mixed ligands of hsb-2 (1,2-bis(4′-pyridylmethylamino)-ethane) and 5-aipa (5-aminoisophthate) under mild condition. In addition, the corresponding ultrathin nanosheets HSB-W15-NS were also obtained by adapting the instant in situ exfoliation (IISEM) method. Owing to the ultrathin nanosheet morphology and an abundance of active sites on the surface, HSB-W15-NS nanosheets can function as an effective fluorescent sensor to detect Fe3+ and Cr3+ ions. Exceptionally, HSB-W15-NS can also be used to selectively capture Fe3+ ions from water, with up to 93 % removal efficiency, and the adsorption equilibrium attained in 5 min. The sensing and adsorption processes were investigated based on kinetic model analysis, Fourier transform infrared spectroscopy, Raman spectrum analysis, density functional theory calculations, and control experiments. This work inspired the development of ultrathin 2D MOF nanosheets for applications in environmental protection.

ELECTROCATALYSIS OF COBALT DOPED CeO2/rGO NANOCOMPOSITE FOR OXIDATION OF METHANOL AND FORMIC ACID

In this study,a novel cobalt-doped cerium oxide (CeO2)on reduced graphene oxide (rGO) substrate was successfully prepared through a hydrothermal method.The comprehensive characterization of the synthesized nanocomposite involved X-ray diffraction studies (XRD),Raman spectrum analysis,High Resolution Transmission Electron microscopy (HRTEM), and Field Emission Electron Microscopy (FE-SEM).The effective surface area of CeO2/rGO and Co-CeO2/rGO was determined using the Randles-Sevecik equation,revealing values of 4.02X10-5 cm2 and 6.35X10-5 cm 2 ,respectively.Cyclic Voltammetry (CV) was employed to investigate the electrochemical reversibility behavior, demonstrating promising results for Co-CeO2/rGO nanocomposite.Electrochemical impedance spectroscopy(EIS) further highlighted low charge transfer resistance (Rct) and enhanced double-layer capacitance (Cdl).Notably, the synthesized nanocomposite exhibited excellent electrocatalytic activity for methanol and formic acid oxidation in an acidic medium. Overall, this work provides valuable insights into the synthesis characterization, and electrochemical performance of Co-CeO2/rGO nanocomposite, showcasing their potential applications in energy- related processes.