간행물

Carbon Letters KCI 등재 Carbon letters

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Vol.35 No.2 (2025년 4월) 34

21.
2025.04 구독 인증기관 무료, 개인회원 유료
Trias Prima Satya, Abdulloh Rifai, Iman Santoso, Harsojo
LiFePO4/C has been successfully synthesized using surfactant-assisted solid-state reaction method to investigate the effects of non-polar solvents on structural properties and electrochemical performance. Petroleum jelly, oleic acid, and sucrose were used as non-polar solvents, surfactants and carbon sources. The ratio of petroleum jelly and oleic acid were 0.5:1 (LFP A), 1:1 (LFP B), and 2:1 (LFP C). The XRD, FE-SEM, and HR-TEM results show that adding petroleum jelly in LFP C enhances crystallinity and improves the morphology of nanoplates in LiFePO4 material. The EDS and Raman Spectroscopy tests show that the higher addition of petroleum jelly increases carbon percentage and carbon layer defects. The highest Li-ion diffusion coefficient was calculated by LFP C of 4.21 × 10– 15 cm2. s−1. Furthermore, the highest discharge test results at 0.1 C of LFP A, LFP B, and LFP C were 125 mAh.g−1, 103 mAh.g−1, and 144 mAh.g−1, respectively. However, C-rate performance shows that the specific capacity of LFP A, LFP B, and LFP C at 5 C were 74 mAh.g−1, 35 mAh.g−1, and 59 mAh.g−1, respectively. The cyclability test results showed that LFP A capacity retention after testing for 100 cycles was better than LFP C, and the lowest stability was obtained by LFP B. The addition of petroleum jelly improved the performance of LiFePO4/ C but resulted in excess carbon in active material which decreased battery stability and specific capacity at high C-rate. Our results suggest that non-polar solvents can be added to LiFePO4/ C synthesis to improve electrochemical performance but less carbon chains must be chosen.
4,200원
22.
2025.04 구독 인증기관 무료, 개인회원 유료
Joseph Appiah, Lu Tian, Xiuli Xu, Jinxiao Dou, Jiawei Wang, Xingxing Chen, Jianglong Yu
Plastic wastes such as polyethylene terephthalate have recently been incorporated into coal as additives in coke manufacturing. Plastic waste results in the reduction of high-quality coal usage while protecting the environment. Using coal tar pitch as an additive in the coal blend causes an increase in fluidity during carbonization. The volatile matter released during carbonisation affects coal thermoplasticity, hence the carbon structural parameters. This paper investigates the role of polyethylene terephthalate and the mixture of polyethylene terephthalate and coal tar pitch on carbon structure formation during coal to coke transformation. The additives were blended with coking coal in 2, 3, 4, 5, and 10% wt. The results imply that incorporating coal tar pitch into the coal/ polyethylene terephthalate mixture improves the crystallite height of the resulting semi-coke. The addition of coal tar pitch and polyethylene teraphthalate blend to coking coal at a percentage below 5%wt. leads a positive impact on the crystallite height of the resulting coal char. The incorporation of coal tar pitch into the blend decreased the average interlayer spacing. At elevated temperatures, the polyethylene terephthalate in the blend causes an increase in the mean tortuosity. However, incorporating coal tar pitch into the blend led to about 3.3% decrease in mean tortuosity.
5,100원
23.
2025.04 구독 인증기관 무료, 개인회원 유료
Michael Filatov, Anna Pomogaeva, Seung Kyu Min
The one-electron states of (7,38) armchair graphene nanoribbon (AGNR) have been investigated in the ground and excited singlet electronic states by a multi-configuration ensemble density functional theory method. The quasiparticle energies for both electron removal and electron addition states were used to construct the electronic bands of the bulk and zigzag edge states of the ribbon. The zigzag edge states of the ribbon are dispersionless and localized at the ribbon termini. Energetically, the electron removal and electron addition edge states are separated by 2.4 eV, which is in good agreement with the experimentally measured splitting of 2.45±0.10 eV in AGNR of similar length. Excitation of the edge electrons results in a highly electrically polarized singlet excited state, where some of the delocalized bulk orbitals become confined within the structural units (anthracene), thus leading to the formation of Wannier–Stark ladder states.
4,500원
24.
2025.04 구독 인증기관 무료, 개인회원 유료
Yuan Zhu, Khidhair Jasim Mohammed, Mohamed Gamal Elsehrawy, H. Elhosiny Ali, Hakim AL Garalleh
Carbon aerogels including graphite and graphene have unique properties such as lightweight, strong, and insulative to roofing applications. Carbon aerogels offer innovative solutions in building management by enhancing thermal and acoustic insulation while reducing structural weight, aligning with the focus on economic and business analysis driven by machine learning. Traditional building materials often fail to meet contemporary energy efficiency and sustainability demands, underscoring the necessity for more advanced solutions. This project is dedicated to integrating carbon aerogels into roofing systems and employs Deep Neural Networks (DNNs) to optimize their performance and integration. The novelty of this study lies in its application of carbon aerogel technology—a cutting-edge, lightweight, and highly insulative material—specifically within roofing to analyze the practical evaluation of carbon aerogels’ thermal properties and economic viability in the construction industry. This study aims to rigorously assess carbon aerogels’ performance and financial impact on roofing applications. By conducting the thermal guard test and economic lifecycle evaluation, the study seeks to validate carbon aerogels’ enhanced energy efficiency and cost-effectiveness compared to traditional roofing materials. The study demonstrates that carbon aerogels offer superior thermal insulation in roofing applications, with a thermal conductivity of 0.02 W/m·K, significantly outperforming traditional materials. Economically, the high initial cost of carbon aerogels is effectively offset by substantial energy savings, estimated at $300 annually per square meter, resulting in a payback period of approximately 1.05 years. These findings are supported by rigorous testing and optimization through DNN, highlighting the material’s potential to enhance energy efficiency and sustainability in building practices.
5,800원
25.
2025.04 구독 인증기관 무료, 개인회원 유료
Minwook Kim, Van Huy Nguyen, Sunil Kumar, Sohee Lee, Muhammad Suleman, Zhigang Jiang, Takashi Taniguchi, Kenji Watanabe, Yongho Seo
Mechanical exfoliation has been a preferred method for obtaining various two-dimensional (2D) materials due to its ability to produce high-quality thin flakes. However, traditional exfoliation techniques often yield flakes of limited size and low yield. Herein, we present a systematic approach to improve mechanical exfoliation by using vacuum treatment to enhance the van der Waals forces between the substrate and the 2D material. This method comprises oxygen plasma cleaning followed by vacuum treatment, effectively removing organic adsorbates from the substrate and maximizing contact between the outermost layer of 2D material and the substrate. This vacuum-assisted exfoliation approach substantially enhances both the yield and flake size of graphene, resulting in single-layer graphene (SLG) flakes approximately eighty times larger than those achieved through conventional methods. The quality of the exfoliated SLG was assessed using Raman spectroscopy and atomic force microscopy (AFM), which confirmed that it is highly similar to that obtained from conventional exfoliation. Furthermore, the exfoliated SLG flakes were encapsulated between hexagonal boron nitride (hBN) layers and fabricated into SLG field-effect transistors (FETs). These devices exhibited high-performance characteristics, yielding a field-effect mobility (μ) of approximately 110,000 cm2∕V ⋅ s at room condition, demonstrating the effectiveness of the vacuum-assisted exfoliation method in producing high-quality, large-area graphene suitable for advanced electronic applications.
4,000원
26.
2025.04 구독 인증기관 무료, 개인회원 유료
Yingying Jin, Huanhuan Qiao, Yichi Zhang, Yujia He, Shuangning Xie, Yiwen Gu, Fawei Lin
This paper is devoted to synthesizing a new type of CDs (carbon dots) with excellent NIR (near-infrared) emission in a biological water environment synthesized from small molecules. Citric acid was adopted as the precursor and treated by one-pot hydrothermal process in DMF solution with the assistance of a microwave. Urea (MH) and ammonium fluoride (MF) were adopted as nitrogen sources to synthesize two types of CDs, respectively. These conditions contributed to generate nanostructured carbon with a higher content of Pyrrolic-N, enrich the functional groups, and exfoliate the ordered layerstacking structure, which finally contributed to the higher NIR absorption band at 808 nm. The physicochemical properties and photothermal conversion ability were fully evaluated by UV–Vis-NIR (ultraviolet–visible light-NIR) absorption and photothermal experiments. MF possessed stronger absorption property and temperature-rising effect in the NIR region than MH, but both exhibited desirable photothermal stability. Next, the in vitro and in vivo experiments demonstrated that both MF and MH exhibited no significant toxicity for cells. NIR irradiation on CDs solution displayed an excellent killing effect on HeLa (breast cancer) and MCF7 (cervical cancer) cells but strongly depended on the concentration of CDs. MH had a weaker killing effect on MCF7 cells compared with MF in the same concentration. But HeLa cells suffered death from lower concentration of MH under NIR irradiation. Both MH and MF exhibited excellent therapy effects and no obvious tissue damage for these major organs of nude mice and BALB/C mice. Above all, both MF and MH with excellent photothermal effect under NIR irradiation had desirable NIR-triggered therapeutic effect on MCF7 and HeLa cells, while they also exhibited good biocompatibility without NIR irradiation.
4,200원
27.
2025.04 구독 인증기관 무료, 개인회원 유료
Jueun Choi, Hyeonseok Yi, Toru Kato, Koji Saito, Hiroko Watanabe, Keiko Ideta, Takaaki Shimohara, Hyeonseok Yi, Seong‑Ho Yoon, Yoong Ahm Kim, Koji Nakabayashi
Marine biomass (MB) is gaining attention as a sustainable and eco-friendly carbon source within the carbon cycle, particularly in regions with extensive coastlines. However, the high content of alkali and alkaline earth metals (AAEMs) in MB poses challenges in producing functional carbon materials, like activated carbon (AC), with a high specific surface area (SSA). In this study, we employed a two-step CO2 activation process, coupled with acid treatment, to successfully convert MB into highly porous AC. Preheating followed by nitric acid washing reduced AAEM content from 22.4 to 2.5 wt%, and subsequent atmospheric CO2 activation produced AC with an SSA of 1700 m2/ g and mesopores of 3–5 nm. A further treatment with a mixed acid solution of nitric and acetic acids reduced impurities to below 1.0 wt%. A second pressurized CO2 activation at 1 MPa yielded AC with an SSA exceeding 2100 m2/ g, with mesopores accounting for more than 50% of the total pore volume. This method demonstrates an effective approach to producing high-performance AC from MB for advanced applications.
4,500원
28.
2025.04 구독 인증기관 무료, 개인회원 유료
Marzieh Ramezani Farani, Hanseung Kim, Munirah Alhammadi, Yun Suk Huh
Toxic gas emissions are a critical global health concern, responsible for numerous deaths each year. These hazardous gases can cause severe physiological reactions and even death upon exposure. To address this issue, we propose a graphene-Kaptonbased flexible biosensor for non-invasive toxic gas detection. The sensor is designed to accurately detect and identify several harmful gases, including carbon monoxide (CO), fluorine azide ( FN3), hydrogen iodide (HI), nitrogen ( N2), methane ( CH4), nitrous oxide ( N2O), and ozone ( O3). Utilizing the Computer Simulation Technology (CST) Studio Suite 2024, we simulate the detection process, focusing on advanced techniques and miniature flexible structures. The sensor’s active element is a graphene patch embedded within a polyimide (Kapton) film, which allows for precise determination of the RF planar resonant structure’s frequency response. The graphene–Kapton biosensor is shown to have remarkable detection performance, as demonstrated by the results of the simulation, with a diffusivity of 9.09e−08[m2∕S] , an accuracy of 6.62e−13 , and a power loss of 1.5mW . These findings highlight the sensor’s potential as an effective tool for detecting and identifying toxic gases with high precision and efficiency.
4,000원
29.
2025.04 구독 인증기관 무료, 개인회원 유료
Xiangyu Kong, Xinyang Zhang, Jie Zhang, Dewei Wang
Aqueous zinc–iodine batteries (AZIBs) are gaining attention for their ability to store and convert electrical energy. Nevertheless, their performance is hindered by the continual migration of polyiodides towards the zinc anodes, leading to undesirable side reactions, diminished coulombic efficiency, and compromised cycling stability. Traditional carbon materials have proven inadequate in resolving these challenges, mainly due to their limited iodine capacity and weak binding forces. Herein, we explore the use of porous carbon nanosheets (PCNSs) synthesized via the “Pharaoh’s Serpent” reaction as cathode electrodes in AZIBs without pre-load iodine. The PCNSs, characterized by their nanosheet structure and expansive specific surface area, not only facilitate a shorter diffusion path for rapid electrolyte infiltration but also provide numerous sites for ion adsorption and capacitive storage, markedly improving the efficacy of electrochemical reactions and ion migration rates. Utilizing the synthesized PCNSs as the cathode electrode in AZIBs, a specific capacity of 296 mAh g− 1 was achieved at 0.3 A g− 1. Even when the current density increased to 30 A g− 1, a specific capacity of 144 mAh g− 1 was still attained, with a capacity retention ratio of up to 48.6%, which is competitive with that of supercapacitors. In addition, the AZIBs demonstrated impressive cycling stability, retaining 103% of their capacity after 10,000 cycles, and a notable energy density of 266.4 Wh kg− 1 based on the cathode material. These findings significantly broaden the application of carbon materials in AZIBs research, emphasizing their potential in advancing AZIB technology.
4,300원
30.
2025.04 구독 인증기관 무료, 개인회원 유료
Arwa Al‑Huqail, Khidhair Jasim Mohammed, Meldi Suhatril, Hamad Almujibah, Sana Toghroli, Sultan Saleh Alnahdi, Joffin Jose Ponnore
Microalgae, such as Chlorella vulgaris and Scenedesmus obliquus, are highly efficient at capturing carbon dioxide through photosynthesis, converting it into valuable biomass. This biomass can be further processed into carbon materials with applications in various fields, including water treatment. The reinforcement learning (RL) method was used to dynamically optimize environmental conditions for microalgae growth, improving the efficiency of biodiesel production. The contributions of this study include demonstrating the effectiveness of RL in optimizing biological systems, highlighting the potential of microalgae-derived materials in various industrial applications, and showcasing the integration of renewable energy technologies to enhance sustainability. The study demonstrated that Chlorella vulgaris and Scenedesmus obliquus, cultivated under controlled conditions, significantly improved absorption rates by 50% and 80%, respectively, showcasing their potential in residential heating systems. Post-cultivation, the extracted lipids were effectively utilized for biodiesel production. The RL models achieved high predictive accuracy, with R2 values of 0.98 for temperature and 0.95 for oxygen levels, confirming their effectiveness in system regulation. The development of activated carbon from microalgae biomass also highlighted its utility in removing heavy metals and dyes from water, proving its efficacy and stability, thus enhancing the sustainability of environmental management. This study underscores the successful integration of advanced machine learning with biological processes to optimize microalgae cultivation and develop practical byproducts for ecological applications.
5,500원
31.
2025.04 구독 인증기관 무료, 개인회원 유료
A. Dhamodharan, E. Murugan, Huan Pang, K. Perumal, K. Jhansirani, Yajun Gao
The accurate detection of vital biomarkers such as Ascorbic Acid (AA), Uric Acid (UA) and Nitrite ( NO2 −) is crucial for human health surveillance. However, existing methods often struggle with concurrent detection and quantification of multiple species, highlighting the need for a more effective solution. To address this challenge, this study aimed to develop a multifunctional electrochemical sensor capable of parallel detection of AA, UA and NO2 − using a synergistic combination of Graphene Oxide (GO) and Cadmium Sulfide (CdS) materials. Notably, the fabricated CdS@GO/Glassy Carbon Electrode (GCE) exhibited exceptional electrochemical activity, as evidenced by Differential Pulse Voltammetry (DPV) analysis. The sensor demonstrated remarkable sensitivity (8.13, 10.12, and 9.05 μA·μM−1·cm−2) and ultra-low detection limits (0.034, 0.062, and 0.084 μM) for AA, UA and NO2 −, respectively. Furthermore, it successfully identified single molecules of each analyte in aqueous and biologic fluid samples, with recovery values comparable to those obtained using High-Performance Liquid Chromatography (HPLC) standard addition methods. The significance of this study lies in developing a novel CdS@ GO/GCE sensor that enables concurrent detection and quantification of multiple vital biomarkers, offering a promising tool for human health monitoring and diagnosis.
4,500원
32.
2025.04 구독 인증기관 무료, 개인회원 유료
Deepak Kumar, Subhash Chandra, Vivek Kumar, Pradeep Kumar Yadav, Syed Hadi Hasan
Due to the sturdy photoluminescence and absorption, CQDs emerged as a suitable candidate for optical sensing probe. The present study deals with the synthesis of blue-fluorescent Carbon Quantum Dot (TAA-CQD) using tannic acid and glycine as novel precursors. The TAA-CQD were synthesised hydrothermally with the high production yield and QY to be 86.12 and 21%, respectively, and an average particle size of 1.9 nm. The TAA-CQD aqueous solution displays excitation-dependent fluorescence emission in the excited range from 420 to 650 nm. The CIE co-ordinates in a highly blue region at (0.14, 0.19) confirmed the synthesised TAA-CQD were blue in fluorescent. Fluorescence of TAA-CQD was stable under all pH range, resisted the high ionic strengths condition and stable over 8 months. Furthermore, the fluorescent TAA-CQD was capable in detecting a tetracycline-classed antibiotic Doxycycline (DXY) along with remarkable selectivity and sensitivity. The measures limit of detection (LOD) was very low 2.42 mM in comparison to other methods. Moreover, the applicability of the proposed work has been fruitfully employed on the pharmaceutical waste. Thus, our designed TAA-CQD based fluorescence sensing system hold great promise for the advanced sensing materials in the detection of DXY and we believe that our approach will be promising and viable in a clinical applications.
4,200원
33.
2025.04 구독 인증기관 무료, 개인회원 유료
Shuang Li, Di Cui, Yu Wang, Aijun Gao, Yuanjian Tong
To further increase the mechanical properties of polyacrylonitrile-based carbon fibers, a multiple stretching technique was applied. Carbon fibers were multiple stretched at 2200 °C and characterizations such as SEM, Raman, XRD, and TEM were used to investigate the evolution of microstructure of carbon fibers. It was found that the grooves on the surface of carbon fibers along the fiber axis direction became more obvious and the cross-section of fibers were twisted from nearly circular to elliptical after multiple stretching. Growth and slippage of graphite microcrystals along the fiber axis direction resulted decrease in disordered structure and defects in the carbon fibers and increase in the degree of graphitization. The multiple stretching effectively enhanced the length-to-width ratio of microcrystals. An increase of 75 GPa in tensile modulus and a retention rate of 0.95 in tensile strength were realized for carbon fibers multiple stretched at 2200 °C.
4,000원
34.
2025.04 구독 인증기관·개인회원 무료
Walid Kamal Abdelbasset, Saade Abdalkareem Jasim, Dmitry Olegovich Bokov, Maria Sergeevna Oleneva, Anvar Islamov, Ali Thaeer Hammid, Yasser Fakri Mustafa, Ghulam Yasin, Arnold C. Alguno, Ehsan Kianfar
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