International Journal of Electrochemical Science最新文献

{"title":"Electrochemical fingerprint-based method for the quality assessment of American Ginseng (Panax quinquefolius)","authors":"Shasha Chai","doi":"10.1016/j.ijoes.2025.101025","DOIUrl":"10.1016/j.ijoes.2025.101025","url":null,"abstract":"<div><div>This study explores a novel application of the Belousov–Zhabotinsky (B-Z) reaction for evaluating the chemical profile of American Ginseng (Panax quinquefolius). Through optimization trials, stable and reproducible oscillations were achieved under 37°C, 400 rpm stirring, and reagent concentrations of 3.0 mol/L sulfuric acid, 0.3 mol/L potassium bromate, and 0.4 mol/L malonic acid, yielding maximum amplitudes of approximately 0.130 V. By analyzing multiple oscillation parameters across a broad sample set, Principal Component Analysis (PCA) showed that the first two components explained 64 % of the total variance, reflecting distinct chemical signatures for different ginseng batches. Moreover, Hierarchical Cluster Analysis (HCA) grouped samples into three well-defined categories consistent with varying ginsenoside content. Critically, linear regression revealed a correlation coefficient of 0.92 between maximum oscillation amplitude and total ginsenoside levels, underscoring the method’s ability to reflect potency. Compared with traditional chromatographic techniques, this electrochemical approach required fewer resources and provided a comprehensive fingerprint of major and minor redox-active compounds. The strong agreement between B-Z oscillation parameters and recognized quality markers highlights the method’s suitability as a rapid screening tool in both research and industrial settings. Additionally, reproducibility tests demonstrated relative standard deviations below 3.5 %, confirming the reliability of this platform. The study indicates that a B-Z-based electrochemical strategy, enhanced by chemometric data analysis, can effectively differentiate and classify American Ginseng samples according to their phytochemical makeup, offering a cost-efficient and robust alternative for ongoing quality assurance. Furthermore, the method facilitated the classification of samples into three distinct tiers, mirroring their measured ginsenoside ranges.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 7","pages":"Article 101025"},"PeriodicalIF":1.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MXene-enabled interfaces and architectures for high-performance zinc anodes in aqueous zinc-ion batteries","authors":"Guanwen Wang","doi":"10.1016/j.ijoes.2025.101023","DOIUrl":"10.1016/j.ijoes.2025.101023","url":null,"abstract":"<div><div>Aqueous zinc-ion batteries (AZIBs) have emerged as promising candidates for safe, low-cost energy storage, but the zinc metal anodes suffer from dendrite formation, side reactions, and limited cycling stability. MXenes – a family of two-dimensional transition metal carbides and nitrides – have attracted great interest in addressing these challenges due to their high electrical conductivity, tunable surface chemistry, and structural versatility. This review provides a comprehensive overview of recent advances in MXene-based anodes for AZIBs. This review discussed material advancements, including MXene host structures (2D films and 3D frameworks), surface functionalization and composite coatings, as well as their roles in suppressing zinc dendrites and improving battery performance. This review then examined how these MXene-integrated anodes enhance key performance metrics such as cyclic stability, rate capability, and Coulombic efficiency. Potential applications enabled by MXene anodes – from flexible and wearable AZIBs to high-capacity and zinc-free designs – are also explored. Three summary tables are included to concisely highlight the progress in materials, performance, and application demonstrations. Finally, this review outlines the remaining challenges and future opportunities, underscoring the pivotal role of MXene-based anodes in advancing next-generation AZIB technologies.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101023"},"PeriodicalIF":1.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrogen production via corrosion of aluminum alloys: Influence of alloy composition, pH, and temperature","authors":"Aisha H. Al-Moubaraki,&nbsp;Mashael L. Albeladi","doi":"10.1016/j.ijoes.2025.101022","DOIUrl":"10.1016/j.ijoes.2025.101022","url":null,"abstract":"<div><div>With growing concerns over fossil fuel depletion and environmental pollution, the need for clean, renewable energy sources has never been more critical. Among the promising alternatives, hydrogen stands out as a high-energy, sustainable, and environmentally friendly fuel. In this context, the current study investigates a laboratory-scale method for producing hydrogen gas through the corrosion of three aluminum alloys (Al 2024, Al 6061, and Al 7075) in acidic (HCl) and alkaline (NaOH) solutions at varying concentrations and temperatures. The research employs hydrogen evolution (HE), weight loss (WL), and potentiodynamic polarization (PDP) techniques, alongside optical imaging, to analyze surface changes in the alloys under different experimental conditions. The results clearly demonstrated that hydrogen production increased significantly with increasing concentrations of both HCl and NaOH. However, it wasn’t just the alloy’s chemical composition driving this reaction-the internal structure played a crucial role. The type, distribution, and behavior of intermetallic compounds (IMCs) within each alloy had a major impact on hydrogen production. Among the tested alloys, Al 7075 produced the most hydrogen in acidic conditions (HCl), primarily due to the selective dissolution of Zn- and Mg-rich IMCs. In contrast, Al 2024 showed the highest hydrogen output in alkaline environments (NaOH), a result attributed to the catalytic influence of its Cu-rich phases. These differences highlight the importance of alloy microstructure in optimizing hydrogen generation efficiency. The PDP measurements further confirmed that the corrosion behavior of the alloys in both HCl and NaOH environments is governed by cathodic control, with the corrosion mechanism remaining consistent despite increasing solution concentrations. Additionally, elevated temperatures significantly boosted hydrogen production rates, facilitated by the alloys' relatively low apparent activation energies, which enhanced their susceptibility to corrosion and hydrogen release. The economic aspect of aluminum alloys was considered and correlated with their hydrogen generation efficiency.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101022"},"PeriodicalIF":1.3,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and prediction of corrosion inhibition efficiency of 5-Aminotetrazole on AA6065-AZ31 alloy using electrochemical noise and artificial neural networks with different transfer functions","authors":"J.M. Angeles ,&nbsp;A. Parrales ,&nbsp;Sung-Hyuk Cha ,&nbsp;D.E. Millán-Ocampo ,&nbsp;R. López-Sesenes ,&nbsp;J.A. Hernández","doi":"10.1016/j.ijoes.2025.101021","DOIUrl":"10.1016/j.ijoes.2025.101021","url":null,"abstract":"<div><div>Different configurations of artificial neural network (ANN) models were developed and evaluated to predict the corrosion inhibition efficiency of 5-Aminotetrazole on AA6065-AZ31 alloy exposed to saline conditions (0.1 M and 0.05 M NaCl) using electrochemical noise. The training dataset consisted of 302,400 measurements from immersion tests with inhibitor concentrations of 2 mM, 4 mM, 6 mM, 8 mM, and 10 mM. The variables time, inhibitor concentration, and electrolyte concentration were used as input variables, while the output variable was electrochemical resistance. A comprehensive analysis was performed using different transfer functions in the hidden layer, including TanSig, LogSig, ElliotSig, Radbas, Softmax, dSiLU, Sqsinc, ReLU, and SoftPlus, all trained with the Levenberg-Marquardt algorithm. Among these configurations, the model employing a 9-neuron hidden layer architecture and dSiLU as transfer function achieved the best performance. The determination coefficient (R²) of 0.9983 obtained by the best model demonstrated an excellent correlation between simulated and experimental data. The corrosion inhibition efficiency predicted by the best ANN model obtained less than 4 % error, confirming the ANN's potential for accurately modeling electrochemical noise.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101021"},"PeriodicalIF":1.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical detection of antimony in bottled water using a Bi₂MoO₆/GO-modified screen-printed electrode","authors":"Prastika Krisma Jiwanti ,&nbsp;Winda Ayu Lestari ,&nbsp;Azka Muhammad Nurrahman ,&nbsp;Mai Tomisaki ,&nbsp;Siti Wafiroh","doi":"10.1016/j.ijoes.2025.101018","DOIUrl":"10.1016/j.ijoes.2025.101018","url":null,"abstract":"<div><div>Antimony (Sb) is commonly used as a catalyst in plastic production. The presence of antimony contamination in bottled drinking water caused by polyethylene terephthalate plastic bottles has raised significant concern. Analysis of Sb is still largely reliant on conventional instruments. In this study, we develop fast detection of Sb using electrochemcial method with screen printed electrode (SPE) modified with bismuth molybdate (Bi₂MoO₆) and graphene oxide (GO) composite. The Bi₂MoO₆ has been successfully synthesized and fabricated as electrode. The characterization was confirmed by various instrument namely UV-Vis spectrophotometry, scanning electrode microscope (SEM-EDX), and X – Ray Diffraction (XRD). The performance of electrochemical analysis shows the linier concentration of Sb^3 + in the range of 0.04 μM to 0.64 μM with a limit of detection (LOD) of 23 nM. Moreover, the sensitivity, selectivity, repeatability, and recovery were successfully achieved. This method was used in the real analysis using drinking water packaged in plastic bottles that has been previously heated. The result showed recovery of 99.96 %. The promising results, including high sensitivity and nearly complete recovery, highlight the potential of this approach for ensuring the safety of drinking water and addressing concerns related to antimony contamination from plastic packaging.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101018"},"PeriodicalIF":1.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated electrochemical milling of complex surfaces with integrated path planning and gap control strategy","authors":"Ming Fang ,&nbsp;Liangliang Hou ,&nbsp;Xu Cheng ,&nbsp;Junlong Wang ,&nbsp;Shenao Ma ,&nbsp;Pujie Zhang","doi":"10.1016/j.ijoes.2025.101011","DOIUrl":"10.1016/j.ijoes.2025.101011","url":null,"abstract":"<div><div>Leveraging their multi-degree-of-freedom motion capabilities and adaptive machining advantages, industrial robots present an innovative approach to the efficient manufacturing of complex curved components. Because electrochemical milling is so good at precisely shaping materials that are hard to work with, robotic electrochemical milling technology has become a research hub in the field of advanced manufacturing. However, the structural flexibility and dynamic errors of industrial robots can cause the inter-electrode gap (ieg) to change in a way that isn't linear during electrochemical milling. This has a big impact on the accuracy of the machining and the quality of the surface. In this paper, we first propose a complex trajectory planning method with variable posture for tool-electrodes, and then simultaneously integrate the inter-electrode gap (ieg) servo control method with dynamic compensation in the seventh axis. By constructing a current signal-gap error mapping model, we analyze the characteristics of processing current fluctuation in real time and generate axial compensation commands and drive the end effector to realize the dynamic correction of the gap error. Finally, the electrochemical milling of the surface was verified by a self-built experimental platform. The experimental outcomes indicate that the milling method with variable posture can significantly improve the matching degree between the milling slot width and the inner diameter of the tool-electrode, and at the same time, the closed-loop feedback control of the machining gap is realized through the machining gap adaptive adjustment strategy, which maintains the machining gap in a stable range, and at the same time, reduces the surface roughness of the workpiece to 0.28 μm, which significantly improves the consistency of the forming of the complex curved surface and the surface integrity of the complex curved surface structure.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101011"},"PeriodicalIF":1.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal treatment of TiO₂-CuI mixtures to improve the electrochemical properties of TiO₂ anodes for lithium-ion batteries","authors":"Mian Zhao ,&nbsp;Mengjiao Li ,&nbsp;Keqiang Ding ,&nbsp;Ying Bai ,&nbsp;Xiaoxuan Liang ,&nbsp;Yiqing Chen ,&nbsp;Jiawen Bao ,&nbsp;Hui Wang","doi":"10.1016/j.ijoes.2025.101016","DOIUrl":"10.1016/j.ijoes.2025.101016","url":null,"abstract":"<div><div>A novel finding, that the electrochemical performance of titanium dioxide (TiO₂) can be significantly promoted through treating the mixture containing TiO₂ and cuprous iodide (CuI) thermally, is presented for the first time in this work. Firstly, a mixture containing TiO₂ and CuI is prepared carefully, in which the molar ratio of Ti and Cu is 3:1. Secondly, the obtained mixtures are thermally treated at 360 °C, 420 °C and 480 °C in air for 2 h, respectively, producing sample a, b and c. As revealed by the XRD and XPS results, TiO₂ and CuO are the principal components of all the thermal treatment products. Above all things, when being utilized as anode materials of lithium ion batteries (LIBs), all the thermal treatment products exhibit superior battery performances relative to that of the pure TiO₂, for instance, the initial discharge capacities of sample a, b and c at 0.1 A g⁻¹ are about 276.1, 422.7 and 294.9 mAh g⁻¹, respectively, being about 1.25, 1.91 and 1.33 times higher than that of pure TiO₂ (221.0 mAh g⁻¹). Particularly, the high rate performances of all the thermal treatment products, especially sample b, are still better than the pure TiO₂. For example, the discharge capacity of sample b at 1.0 A g⁻¹ after 100 cycles is tested to be 84 mAh g⁻¹, being about 1.5 times higher than that of pure TiO₂ (56 mAh g⁻¹). The reduction in the charge transfer resistance and the increase in the cyclic voltammetry peak area are analyzed to be the major reasons endowing all the thermal treatment products especially sample b a greatly promoted battery performance. Showing the fact, that thermally treating the mixture having TiO₂ and CuI is a practical technique to significantly promote the battery performance of TiO₂, is the principal dedication of this preliminary work.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101016"},"PeriodicalIF":1.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrosion inhibition performance of imidazole derivative for protection of carbon steel in hydrochloric acid solution: Experimental and theoretical analysis","authors":"D. Karra ,&nbsp;N. Timoudan ,&nbsp;Daniil R. Bazanov ,&nbsp;Natalia A. Lozinskaya ,&nbsp;H. Zarrok ,&nbsp;H. Oudda ,&nbsp;D. Benmessaoud Left ,&nbsp;M. Zertoubi ,&nbsp;M. Assouag ,&nbsp;F. Benhiba ,&nbsp;M. El Faydy ,&nbsp;J. Saranya ,&nbsp;Hatem A. Abuelizz ,&nbsp;A. Zarrouk","doi":"10.1016/j.ijoes.2025.101015","DOIUrl":"10.1016/j.ijoes.2025.101015","url":null,"abstract":"<div><div>Examining 1-((4S,5R)-2,4,5-tris(2,5-dimethoxyphenyl)-4,5-dihydro-1H-imidazol-1-yl)ethan-1-one (25MAC-C) as a corrosion/inhibitor of carbon steel (C.steel) in a 1 M HCl environment for the first time is what makes this work novel. Weight loss (WL) and electrochemical methods, including electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization curves (PDP), were used to assess their inhibitory qualities. Energy dispersive X-ray spectroscopy (EDS), scanning electron microscopy (SEM), &amp; UV–visible were utilized to analyze the surface/morphology and characterize the metal surface. As concentration rose, 25MAC-C's inhibitory efficacy increased, peaking at 10⁻³ M at 98.5 %. In the [303–333 K] range, the effects of temperature on inhibitory efficiency were investigated. Following the Langmuir isotherm, 25MAC-C was adsorbed onto the C.steel surface in a corrosive solution. SEM/morphological illustrations were used to validate the WL and electrochemical findings. The experimental findings were corroborated through quantum-theoretical studies employing density functional theory (DFT) and molecular dynamics (MD)/simulations.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101015"},"PeriodicalIF":1.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced state of health estimation for lithium-ion batteries using statistical feature extraction and feature selection","authors":"Shao-Ying Li ,&nbsp;Yi-Hua Liu ,&nbsp;Chun-Liang Liu ,&nbsp;Guan-Jhu Chen ,&nbsp;Shun-Chung Wang","doi":"10.1016/j.ijoes.2025.101012","DOIUrl":"10.1016/j.ijoes.2025.101012","url":null,"abstract":"<div><div>State of health (SOH) estimation remains a critical research focus in battery management systems, where feature extraction and selection play crucial roles in improving estimation accuracy. This study examines the effectiveness of statistical feature extraction from constant current-constant voltage (CC-CV) charging curves, focusing on voltage and current characteristics. A total of 50 health indicators (HIs) are derived, including several novel features introduced for the first time. Five fundamental machine learning models—including backpropagation neural networks (BPNN), regression trees (RT), and three types of linear regression (Ridge, Lasso, and Elastic Net)—are trained on these features, with hyperparameter optimization conducted via random search. The best-performing model, RT, is further refined through seven feature selection techniques. Experimental results demonstrate that selecting only the top five features using sequential feature selection (backward) (SFS_backward) and recursive feature elimination (RFE) significantly enhances performance. Compared to using all features, SFS_backward and RFE reduce root mean square error (RMSE) by 12.8 % and 12.5 %, respectively, while mean absolute error (MAE) decreases by 13.1 % and 15.2 %. The proposed methodology also outperforms conventional and deep learning approaches, achieving up to a 127.0 % reduction in RMSE and 113.3 % in MAE. These findings underscore the potential of statistical feature engineering and selection to enhance SOH estimation accuracy while reducing model complexity.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101012"},"PeriodicalIF":1.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Graphene-gold nanoparticle composite-based electrochemical biosensor for human papilomavirus detection","authors":"Lixia Wang ,&nbsp;Nana Song ,&nbsp;Mingwang Zhong ,&nbsp;Zhijie Liu","doi":"10.1016/j.ijoes.2025.101014","DOIUrl":"10.1016/j.ijoes.2025.101014","url":null,"abstract":"<div><div>A novel electrochemical biosensor was developed for ultrasensitive detection of DNA HPV using graphene-gold nanoparticle composites combined with a self-assembled DNA nanostructure amplification strategy. The biosensor construction involved a two-step synthesis of G-AuNP composites, characterized by UV–visible spectroscopy showing characteristic absorption peaks at 230 nm and 525 nm. The biosensor employed strategically designed auxiliary probes (AP1 and AP2) that enabled extended DNA nanostructure formation through programmed self-assembly, significantly enhancing detection sensitivity. Under optimized conditions, including 0.5 μM auxiliary probe concentration and 37°C hybridization temperature, the biosensor showed exceptional performance with a detection limit of 0.31 fM and reproducibility of 3.8 % RSD. The system demonstrated robust stability, maintaining 95.2 % of initial response after 14 days at 4°C. Clinical validation using cervical specimens showed excellent correlation with qPCR (R² = 0.997) and recovery rates between 95.8 % and 103.2 %. The biosensor's total analysis time of 65 minutes represented a significant improvement over conventional methods, while maintaining high selectivity against base mismatches and common interferents, making it suitable for rapid point-of-care diagnostics.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 6","pages":"Article 101014"},"PeriodicalIF":1.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}