International Journal of Electrochemical Science最新文献

英文中文

Retraction notice to “Fe–Co co-doped 1D@2D carbon-based composite as an efficient catalyst for Zn-air batteries” [Int. J. Electrochem. Sci., 19 (2024) 100766]

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-12-01 DOI: 10.1016/j.ijoes.2024.100885

Qijing Zhang , Kaijie Liang , Zhengri Shao , Jinguang Liang , Baoyi Ren

引用次数: 0

Retraction notice to ‘Electrochemical behavior of salbutamol, clenbuterol, ractopamine and albuterol at CNTs/GCE’ [Int. J. Electrochem. Sci. 17/5 (2022) 220567]

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-12-01 DOI: 10.1016/j.ijoes.2024.100871

Liang Bai

引用次数: 0

Front Matter1:Full Title Page

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-12-01 DOI: 10.1016/S1452-3981(24)00442-5

引用次数: 0

Robust lithium-ion battery state of health estimation based on recursive feature elimination-deep Bidirectional long short-term memory model using partial charging data

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-28 DOI: 10.1016/j.ijoes.2024.100891

Fengxun Tian , Shuwen Chen , Xiaofan Ji , Jiongyuan Xu , Mingkun Yang , Ran Xiong

Accurate perception of the state of health (SOH) of lithium-ion batteries is crucial for their safety and reliable operation. To meet this demand, a recursive feature elimination-deep bidirectional long short-term memory (RFE-DBiLSTM) model suitable for partial charging data is proposed to effectively estimate the SOH of lithium-ion batteries. In this study, the recursive feature elimination (RFE) method is used to screen multiple charging features for obtaining the key features that best represent the SOH under two scenarios with different charging segment lengths. Due to the robust noise-filtering capability and strong ability to capture complex and multi-level temporal dependencies, the deep bidirectional long short-term memory (DBiLSTM) model is used for time series data training, verification, and testing during aging. Experimental results show that compared with benchmark time series models such as long short-term memory (LSTM) and gated recurrent unit (GRU), the proposed method significantly reduces the estimated mean absolute error (MAE) and root mean square error (RMSE) on diverse batteries in the above scenarios. In the scenario for missing partial constant current (CC) charging data, the MAE and RMSE of B0005 cell are 0.0062 and 0.0094, the MAE and RMSE of B0006 cell are 0.0294 and 0.0314, the MAE and RMSE of CS2_36 cell are 0.0510 and 0.0601, the MAE and RMSE of B0029 cell are 0.0057 and 0.0072, and the MAE and RMSE of B0030 cell are 0.0088 and 0.0102. This research innovatively combines the RFE method with the DBiLSTM model to improve the accuracy and robustness of SOH estimation.

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引用次数: 0

Advances in electrochemical methods for the determination of ephedrine: Current status and future trends

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-27 DOI: 10.1016/j.ijoes.2024.100903

Mingfan Cai , Wentao Wang

The accurate and reliable detection of ephedrine-type alkaloids has become increasingly critical due to their dual role in legitimate therapeutic applications and potential misuse in illicit drug production. The development of rapid and sensitive detection methods is particularly important for pharmaceutical quality control, anti-doping monitoring in sports, and law enforcement agencies conducting on-site screening, where traditional chromatographic techniques may be impractical due to their complexity and cost. This review examines recent developments in electrochemical methods for ephedrine detection, focusing on advances in electrode materials, surface modification strategies, and analytical methodologies. We discuss the fundamental aspects of ephedrine's electrochemical behavior, including electron transfer mechanisms, pH effects, and mass transport phenomena. Particular attention is given to innovative electrode modifications incorporating nanomaterials, conducting polymers, and molecular recognition elements that have dramatically enhanced detection capabilities. The emergence of novel composite materials, including carbon-metal oxide hybrids and molecularly imprinted polymers, has enabled unprecedented levels of sensitivity and selectivity. We evaluate various analytical approaches, from fundamental voltammetric techniques to sophisticated flow-based systems, highlighting their strengths and limitations. The integration of these methods into practical applications across pharmaceutical quality control, environmental monitoring, food safety, and clinical diagnostics is critically assessed. The review concludes with an examination of current challenges and emerging trends, including the development of portable detection systems and the integration of artificial intelligence for signal processing.

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引用次数: 0

Synthesis and cyclic voltammetric studies of azo dye compounds derived from 1,5-dihydroxynaphthalene and their application as corrosion inhibitors for carbon steel in hydrochloric acid solution

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-26 DOI: 10.1016/j.ijoes.2024.100892

Majda Alfakeer , Rasha N. Felaly , Salih S. Al-Juaid , D.F. Seyam , E.M. Mabrouk , Metwally Abdallah

New bis-azo dyes derived from 1,5-dihydroxynaphthalene were synthesized and characterized by elemental analysis, Fourier-transform infrared (FTIR) and proton nuclear magnetic resonance spectroscopy (¹H NMR). These compounds were examined using differential pulse polarography (DPP) and cyclic voltammetry (CV) in Britton-Robinson buffer solutions with pH values ranging from 2 to 12. When the two NN centers of the examined azo compounds were cleaved to form the amine group, the bis-azo group was reduced with the loss of eight electrons, resulting in an irreversible diffusion-controlled cathodic peak. The reduction mechanism was postulated in view of the data obtained was found to be H⁺, e, e, H⁺. The application of these azo compounds as corrosion inhibitors for carbon steel in hydrochloric acid solution was investigated and the inhibition efficiency was found to be increasing with both time and concentration, reaching 97 % after 24 hours in the presence of 10⁻³ M for the three azo compounds. The Langmuir adsorption isotherm indicates that the suppression of corrosion is caused by the inhibitor molecules donating electrons to the empty d-orbitals of the surface of the carbon steel (chemical adsorption), as the calculated Gibbs free energy (∆G_ads) is found to be around −40 kJ/mol. The influence of temperature on the parameters of corrosion was examined, and the thermodynamic parameters of corrosion were computed and examined. The results showed that increasing temperature causes increasing of the inhibition efficiency of the tested bis-azo dyes. The order of inhibition efficiency followed their donating affinity which increases in the order p-OCH₃ > p-CH₃ > m-CH₃. Also, the results showed that these compounds causes decrease in entropy, enthalpy and activation energy due to their chemical interaction with the metal surface.

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引用次数: 0

Numerical simulation and experimental study on electrochemical recovery of copper using cylindrical and conical flow reactors

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-26 DOI: 10.1016/j.ijoes.2024.100894

Tzu-Hsuan Tsai , Sivakumar Musuvadhi Babulal , Yung-Fu Wu

This study investigates the electrochemical recovery of copper from wastewater using cylindrical and conical flow reactors. Electrochemical approaches offer advantages such as environmental compatibility, operational versatility, and energy efficiency for heavy metal remediation. However, effective recovery from dilute effluents remains challenging due to mass transfer limitations. In this work, numerical simulations were conducted to analyze the flow field and current distribution in the reactors, with a focus on the copper reduction process. Experimental results were compared with transient simulations to assess the influence of geometry and operating parameters on the performance of the reactors. The study identified that conical reactors, particularly those with a narrowing electrode gap, enhanced mass transfer rates, leading to improved copper removal efficiency. Key findings include the relationship between electrolyte flow rates, Coulombic efficiency, and copper recovery efficiency. This work contributes to the investigation of electrochemical processes for sustainable heavy metal remediation.

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引用次数: 0

Surface characterization of bis-amide calix[4]arene doped SWCNT nanocomposite and its application as an electrochemical sensor for the determination of Al3+ ion

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-23 DOI: 10.1016/j.ijoes.2024.100890

A. Rouis , M. Echabaane , S. Khlifi , I. Bonnamour

This study focuses on the optical, wettability, morphological and sensing properties of the chromogenic bis-amide calix[4]arene-SWCNT nanocomposite thin film. Nanocomposite solution was done by mixing single-walled carbon nanotubes with 5,17-bis(phenylazo)-26,28 bis{[(ethoxycarbonyl)methylcarbamoyl] methoxy}-25,27-di(ethoxycarbonylmethoxy)-calix[4]arene in chlorobenzene. The possible interactions between bis-amide calixarene and SWCNT that may be responsible for enhancement in certain properties of the nanocomposite were highlighted. Firstly, the surface of the modified electrode was characterized by using UV–visible spectrophotometer and contact angle measurement (CAM). The effect of the SWCNT loading in the solution and the heating process on the film properties plays a crucial role in the optical and wettability properties of the CNTs based films. Then, morphological study was examined before and after CNT incorporation by using scanning electron microscopy. Finally, the sensing properties of bis-amide calix[4]arene-SWCNT thin film coated gold electrode were investigated using electrochemical impedance spectroscopy (EIS) toward the detection of Al³⁺ ion.

{"title":"Surface characterization of bis-amide calix[4]arene doped SWCNT nanocomposite and its application as an electrochemical sensor for the determination of Al3+ ion","authors":"A. Rouis , M. Echabaane , S. Khlifi , I. Bonnamour","doi":"10.1016/j.ijoes.2024.100890","DOIUrl":"10.1016/j.ijoes.2024.100890","url":null,"abstract":"<div><div>This study focuses on the optical, wettability, morphological and sensing properties of the chromogenic bis-amide calix[4]arene-SWCNT nanocomposite thin film. Nanocomposite solution was done by mixing single-walled carbon nanotubes with 5,17-bis(phenylazo)-26,28 bis{[(ethoxycarbonyl)methylcarbamoyl] methoxy}-25,27-di(ethoxycarbonylmethoxy)-calix[4]arene in chlorobenzene. The possible interactions between bis-amide calixarene and SWCNT that may be responsible for enhancement in certain properties of the nanocomposite were highlighted. Firstly, the surface of the modified electrode was characterized by using UV–visible spectrophotometer and contact angle measurement (CAM). The effect of the SWCNT loading in the solution and the heating process on the film properties plays a crucial role in the optical and wettability properties of the CNTs based films. Then, morphological study was examined before and after CNT incorporation by using scanning electron microscopy. Finally, the sensing properties of bis-amide calix[4]arene-SWCNT thin film coated gold electrode were investigated using electrochemical impedance spectroscopy (EIS) toward the detection of Al<sup>3+</sup> ion.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100890"},"PeriodicalIF":1.3,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747260","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}

引用次数: 0

Influence of soil variability on the corrosion of buried hot-dip galvanized steel 土壤变化对埋地热浸镀锌钢腐蚀的影响

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-22 DOI: 10.1016/j.ijoes.2024.100889

Cheng He , Zongjiang Wang , Yi You , Xinxin Wang , Puzhi Zhao , Zhushi Yang , Lifeng Zhou

A reliable electricity supply is vital to national economies and human livelihoods, making the protection of grid infrastructure essential. The metallic grounding network of power grids buried underground is exposed to complex soil conditions, including varying moisture, resistivity, and pH levels. Nine soil sites in northern China were selected for the analysis of physicochemical properties. The corrosion behavior of hot-dip galvanized Q235 steel was examined through corrosion morphology and product analysis. And the corrosion products at different stages were analyzed and mainly included oxides or hydroxides of both Zn and Fe with different contents. As the soil corrosiveness and exposure time increased, the corrosion severity intensified. The galvanized coating initially protected the steel matrix, but its effectiveness diminished over time. Monitoring corrosion and implementing targeted anti-corrosion measures are crucial for ensuring the safe and stable operation of power grid equipment.

可靠的电力供应对国民经济和人类生活至关重要，因此保护电网基础设施至关重要。埋在地下的电网金属接地网暴露在复杂的土壤条件下，包括不同的湿度、电阻率和 pH 值。研究人员选取了中国北方的 9 个土壤地点进行理化性质分析。通过腐蚀形态和产物分析，研究了热镀锌 Q235 钢的腐蚀行为。分析了不同阶段的腐蚀产物，主要包括不同含量的锌和铁的氧化物或氢氧化物。随着土壤腐蚀性和暴露时间的增加，腐蚀的严重程度也在加剧。镀锌层最初能保护钢基体，但随着时间的推移，其效果逐渐减弱。监测腐蚀情况并采取有针对性的防腐蚀措施对于确保电网设备的安全稳定运行至关重要。

引用次数: 0

Artificial intelligence-aided electrochemical sensors for capturing and analyzing fingerprint profiles of medicinal materials 用于捕捉和分析药用材料指纹图谱的人工智能辅助电化学传感器

IF 1.3 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2024-11-22 DOI: 10.1016/j.ijoes.2024.100887

Zuzheng Chang , Hongwei Sun

This study explores the application of artificial intelligence-aided electrochemical sensors for authenticating medicinal materials, focusing on sika deer antler cap powder. Utilizing differential pulse voltammetry and graphene-modified screen-printed electrodes, we developed a novel method to capture unique electrochemical fingerprints of authentic, counterfeit, and adulterated samples. Three machine learning models—Support Vector Machine (SVM), Random Forest (RF), and Extreme Learning Machine (ELM)—were evaluated using both full voltammogram and principal component analysis (PCA) reduced features. The SVM model with PCA-reduced features emerged as the optimal approach, achieving a classification accuracy of 97.9 % while reducing training time by 65.6 % (from 3.2 s to 1.1 s) and prediction time by 71.4 % (from 0.07 s to 0.02 s per sample) compared to using full voltammogram features. This reduction in computational complexity was achieved by decreasing the input dimensionality from 601 to 5 features through PCA, while maintaining high classification performance across all sample categories. This model demonstrated high sensitivity (>97 %) and specificity (>98 %) across all sample categories, with a notably low limit of detection for adulteration at 2.8 %. Characteristic peaks, such as the pantocrin peak at 0.25 V for authentic samples, provided a robust basis for differentiation. The method's effectiveness in detecting subtle adulterations was evidenced by its ability to identify samples with as low as 5 % adulteration. Furthermore, the approach showed excellent generalization, maintaining 97.0 % accuracy on an independent validation set. These findings highlight the potential of this technique for rapid, accurate, and cost-effective authentication of medicinal materials, addressing the growing challenge of counterfeit products in the pharmaceutical industry.

本研究探讨了人工智能辅助电化学传感器在鉴定药用材料方面的应用，重点是梅花鹿鹿茸盖粉。利用差分脉冲伏安法和石墨烯修饰的丝网印刷电极，我们开发了一种新方法来捕捉真品、假货和掺假样品的独特电化学指纹。我们使用全伏安图和主成分分析（PCA）缩减特征对支持向量机（SVM）、随机森林（RF）和极限学习机（ELM）这三种机器学习模型进行了评估。使用 PCA 缩减特征的 SVM 模型成为最佳方法，分类准确率达到 97.9%，与使用完整伏安图特征相比，训练时间减少了 65.6%（从 3.2 秒减少到 1.1 秒），预测时间减少了 71.4%（每个样本从 0.07 秒减少到 0.02 秒）。计算复杂度的降低是通过 PCA 将输入维度从 601 个特征减少到 5 个特征实现的，同时在所有样本类别中保持了较高的分类性能。该模型在所有样品类别中均表现出较高的灵敏度（97%）和特异度（98%），掺假检测限明显较低，仅为 2.8%。特征峰，如真品样品中 0.25 V 的泛素峰，为鉴别提供了可靠的依据。该方法能够识别掺假率低至 5% 的样品，这证明了它在检测细微掺假方面的有效性。此外，该方法还显示出卓越的通用性，在独立验证集上保持了 97.0% 的准确率。这些研究结果凸显了该技术在快速、准确和经济高效地鉴定药用材料方面的潜力，从而应对制药行业日益严峻的假冒产品挑战。

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全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

International Journal of Electrochemical Science

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