International Journal of Electrochemical Science最新文献_第5页

Layer-by-layer assembled AuNP/γ-MnO₂–chitosan modified GCE for ultrasensitive detection of carcinoembryonic antigen 逐层组装AuNP/γ- mno2 -壳聚糖修饰的GCE用于癌胚抗原的超灵敏检测

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-09 DOI: 10.1016/j.ijoes.2025.101255

Lu Wang , Shanshan Mu , Lina Zhang, Na Wang, Lei Zhang, Yan Zhang, Xia Han

The sensitive detection of carcinoembryonic antigen (CEA), a critical tumor marker, is paramount for early-stage cancer diagnosis and management. This study reports the development of a novel, label-free electrochemical immunosensor based on a layer-by-layer (LbL) assembly of gold nanoparticles (AuNPs) and a gamma-phase manganese dioxide–chitosan (γ-MnO₂–CS) nanocomposite on a glassy carbon electrode (GCE). The engineered sensing interface leverages the synergistic properties of its constituents: the porous, high-surface-area γ-MnO₂–CS matrix provides an ideal scaffold for high-density antibody immobilization, while the integrated AuNPs create a highly conductive network that significantly amplifies the electrochemical signal. The immunosensor operates by measuring the impedance to electron transfer from a [Fe(CN)₆]³ ⁻/⁴⁻ redox probe, which is proportionally hindered by the binding of CEA to surface-immobilized antibodies. The platform demonstrated exceptional analytical performance, exhibiting an ultra-wide linear dynamic range spanning seven orders of magnitude from 10 fg mL⁻¹ to 100 ng mL⁻¹, with an extremely low limit of detection of 9.6 fg mL⁻¹. Furthermore, the sensor showed excellent precision, with inter-day CVs below 9 % for mid- and high-range concentrations, and demonstrated high selectivity against common interferents. Its practical utility was confirmed in diluted human serum, achieving spike-recovery rates between 94.1 % and 104.6 %, validating its potential as a powerful and reliable tool for clinical applications.

癌胚抗原（CEA）是一种重要的肿瘤标志物，对早期癌症的诊断和治疗至关重要。本研究报道了一种新型无标记电化学免疫传感器的开发，该传感器基于在玻碳电极（GCE）上逐层组装金纳米粒子（AuNPs）和γ相二氧化锰-壳聚糖（γ-MnO₂-CS）纳米复合材料。设计的传感界面利用其成分的协同特性：多孔，高表面积的γ- mno2 -CS矩阵为高密度抗体固定提供了理想的支架，而集成的AuNPs创建了一个高导电性网络，显着放大了电化学信号。这种免疫传感器通过测量[Fe（CN）₆]³ 的电子传递阻抗来工作，因为CEA与表面固定抗体的结合成比例地阻碍了这种传递。该平台具有优异的分析性能，具有从10 fg mL−1到100 ng mL−1的超宽线性动态范围，检测限极低，为9.6 fg mL−1。此外，该传感器具有优异的精度，在中高浓度范围内的日间CVs低于9 %，并且对常见干扰具有高选择性。在稀释的人血清中证实了其实用性，峰值回收率在94.1 %和104.6 %之间，验证了其作为临床应用的强大可靠工具的潜力。

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引用次数: 0

Ultra-facile and stable electrochemical sensor for rapid detection of arecoline in areca nut and simulated saliva samples 用于槟榔果和模拟唾液样品中槟榔碱快速检测的超简便稳定电化学传感器

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-03 DOI: 10.1016/j.ijoes.2025.101252

Shumin Ding , Yanni Huang , Qiwen Li , Huijuan Zhang , Jinping Li , Yifei Guo , Mengyue Guo , Dandan Kong , Meihua Yang , Jiaoyang Luo

Areca nut (AN) is widely popular in Asian countries due to its medicinal and edible values. Arecoline is the major toxic component in AN product and has been classified as “possibly carcinogenic to humans”. Owing to its oral carcinogenicity and addictive harm, a rapid screening method for estimating arecoline at risk levels is important for consumer and clinical research. In this study, a facile and ultra-stable chemical sensor was investigated and dedicated to monitoring arecoline in AN and saliva samples. The superiority in stability, sensitivity and selectivity was thoroughly explained through theoretical calculations, physicochemical and electrochemical properties. The sensitivity and stability were at least twice as good even after 10 uses or among different sensor batches, while its recoveries remained within 83.23 %-124.30 %. In conclusion, this work provides a new insight into the fabrication, mechanism analysis, and application of rapid analysis systems for reliable sensing toxic substances in human consumption safety.

槟榔果（AN）因其药用和食用价值在亚洲国家广泛流行。槟榔碱是AN产品的主要有毒成分，已被列为“可能对人类致癌”。由于槟榔碱具有口服致癌性和成瘾性，一种快速评估槟榔碱风险水平的筛查方法对消费者和临床研究都具有重要意义。在本研究中，研究了一种简单且超稳定的化学传感器，用于监测AN和唾液样本中的槟榔碱。通过理论计算、理化性能和电化学性能，充分说明了其在稳定性、灵敏度和选择性方面的优越性。使用10次或不同批次的传感器，其灵敏度和稳定性至少为2倍，回收率在83.23 % ~ 124.30 %之间。总之，本研究为人类消费安全中有毒物质可靠传感快速分析系统的制造、机理分析和应用提供了新的见解。

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引用次数: 0

Influence of surface oxide layer formed during hot rolling on the atmospheric corrosion resistance of 720 weathering steel 热轧过程中表面氧化层对720耐候钢耐大气腐蚀性能的影响

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-10 DOI: 10.1016/j.ijoes.2025.101269

Huan Wei , Mingqi Xiao , Huajie Zhu , Duoyao Liang , Yue Wang , Lin Liao , Huayun Du , Yinghui Wei

Weathering steel has potential use in solar photovoltaic brackets owing to its satisfactory atmospheric corrosion resistance and good mechanical properties. In this study, an exposure experiment was conducted in an industrial atmospheric environment. The corrosion weight gain, macro-morphology, micro-morphology, X-ray diffraction (XRD), Raman, and electrochemical characteristics of a new 720 weathering steel with and without a surface oxide layer and Q235 with a surface oxide layer formed during hot rolling were compared. The corrosion characteristics were identified, and the underlying mechanism of the effect of the surface oxide layer formed during hot rolling on corrosion resistance was analyzed. The experimental and analytical results show that the rusting coat on Q235O and WS is relatively loose with cracks, and the main component is γ-FeOOH, while the rust of WSO is dense, and stable α-FeOOH formed in the inner rust layer after exposure for 8 months. The Cu element is enriched in the rust layer, which hinders the diffusion of corrosive Cl ions into the substrate. The surface oxide layer formed during hot rolling accelerates the formation of a stabilized rust layer in weathering steel and significantly reduces its corrosion rate of weathering steel in atmospheric corrosion.

耐候钢具有良好的耐大气腐蚀性能和良好的力学性能，在太阳能光伏支架中具有潜在的应用前景。本研究在工业大气环境中进行了暴露实验。比较了具有和不具有表面氧化层的新型720耐候钢和具有热轧表面氧化层的Q235耐候钢的腐蚀增重、宏观形貌、微观形貌、x射线衍射（XRD）、拉曼光谱（Raman）和电化学特性。识别了腐蚀特征，分析了热轧过程中表面氧化层对耐蚀性影响的潜在机理。实验和分析结果表明：q2350和WS的锈蚀层相对疏松，有裂纹，主要成分为γ-FeOOH，而WSO的锈蚀致密，暴露8个月后，内部锈蚀层形成稳定的α-FeOOH。铜元素在锈层中富集，阻碍了腐蚀性Cl离子向基体扩散。热轧过程中形成的表面氧化层加速了耐候钢稳定锈层的形成，显著降低了耐候钢在大气腐蚀中的腐蚀速率。

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引用次数: 0

Hybrid XGBoost–LSTM model for state-of-health prediction of lithium-ion batteries under different thermal conditions 不同热条件下锂离子电池健康状态预测的XGBoost-LSTM混合模型

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-10-30 DOI: 10.1016/j.ijoes.2025.101218

Wajid Khan , Abdul Aziz , Muhammad Zain Yousaf , Feng Renhai , Yunshou Mao , Muhammad Waqas Latif , Wu Tonghao , Baseem Khan , Nkateko Eshias Mabunda , Ahmed Ali

Accurate monitoring of the State of Health (SoH) of lithium-ion batteries is critical for the reliable and safe operation of energy storage systems, particularly in grid-level applications where battery performance directly impacts the stability and efficiency of the grid. Traditional SoH estimation methods face challenges due to the complex and dynamic behavior of batteries, especially under varying thermal conditions. This paper proposes a hybrid machine learning approach that combines XGBoost with Long Short-Term Memory (LSTM) networks to predict the SoH of lithium-ion batteries. The XGBoost component models the relationship between engineered features, while the LSTM network captures the temporal degradation patterns in time-series data. The model is validated across a broad temperature range of 5°C–35°C to account for thermal variability. To rigorously assess generalization, the model is evaluated using ten-fold cross-validation and leave-one-temperature-out (LOTO) analysis, ensuring robustness across unseen conditions. Experimental results demonstrate that the proposed framework outperforms traditional methods, including electrochemical models and support vector machines, in terms of accuracy and robustness, particularly in fluctuating thermal conditions. The model’s interpretability is enhanced through TreeSHAP analysis, providing actionable insights into battery degradation mechanisms. This approach offers a reliable and scalable solution for real-time SoH monitoring, predictive maintenance, and optimal management of energy storage systems.

准确监测锂离子电池的健康状态（SoH）对于储能系统的可靠和安全运行至关重要，特别是在电网级应用中，电池性能直接影响电网的稳定性和效率。由于电池的复杂和动态行为，特别是在不同的热条件下，传统的SoH估算方法面临挑战。本文提出了一种混合机器学习方法，结合XGBoost和长短期记忆（LSTM）网络来预测锂离子电池的SoH。XGBoost组件对工程特征之间的关系进行建模，而LSTM网络则捕获时间序列数据中的时间退化模式。该模型在5°C - 35°C的宽温度范围内进行了验证，以考虑热变化。为了严格评估泛化，模型使用十倍交叉验证和留一个温度（LOTO）分析进行评估，确保在未知条件下的稳健性。实验结果表明，该框架在准确性和鲁棒性方面优于传统方法，包括电化学模型和支持向量机，特别是在波动热条件下。通过TreeSHAP分析，增强了模型的可解释性，为电池退化机制提供了可操作的见解。该方法为实时SoH监测、预测性维护和储能系统的优化管理提供了可靠且可扩展的解决方案。

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引用次数: 0

M-ZIF-67 (M = Cu, Ni, Fe, Zn) derived bimetallic porous polyhedrons for non-enzymatic amperometric glucose detection M- zif -67 （M = Cu, Ni, Fe, Zn）衍生双金属多孔多面体用于非酶安培葡萄糖检测

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-07 DOI: 10.1016/j.ijoes.2025.101266

Hui Yang, Xiaopeng Wang, Kongxiang Quan, Changchang Zhang, Zhiqiang Wei

Co in the lattice of ZIF-67 can be easily replaced by non-precious metal (Cu, Ni, Fe, Zn) to prepare non-precious metal (Cu, Ni, Fe, Zn) doped ZIF-67, which can be employed as excellent precursors to prepare bimetallic porous polyhedrons. In these bimetallic porous polyhedrons, hybrids containing carbon and nitrogen (C/N hybrids) are the basic framework, and bimetallic oxides are the key catalytic active centers. C/N hybrids possess good biocompatibility, bimetallic oxides own unique bimetallic synergistic catalytic effects, which jointly achieve the non-enzymatic electrochemical sensing for glucose. These bimetallic porous polyhedrons (Cu(2 %)&Co@PCN, Ni(1 %)&Co@PCN, Fe(1 %)&Co@PCN and Zn(1 %)&Co@PCN) not only reveal excellent performance for glucose amperometric detection, but also can be employed to detect glucose in the human serum samples, indicating that they have great commercial value for developing a new generation of non-enzymatic glucose electrochemical sensors.

ZIF-67晶格中的Co很容易被非贵金属（Cu、Ni、Fe、Zn）取代，制备出掺杂非贵金属（Cu、Ni、Fe、Zn）的ZIF-67，可以作为制备双金属多孔多面体的优良前驱体。在这些双金属多孔多面体中，碳氮杂化体（C/N杂化体）是基本骨架，双金属氧化物是关键的催化活性中心。C/N杂化物具有良好的生物相容性，双金属氧化物具有独特的双金属协同催化效应，共同实现了对葡萄糖的非酶电化学传感。这些双金属多孔多面体(Cu(2 %)&Co@PCN, Ni(1 %)&Co@PCN, Fe（1 %)&；Co@PCN和Zn(1 %)&Co@PCN）不仅在葡萄糖安培检测中表现出优异的性能，而且可以用于检测人血清样品中的葡萄糖，这表明它们在开发新一代非酶葡萄糖电化学传感器方面具有很大的商业价值。

引用次数: 0

Flow field analysis in electrochemical machining of non-uniform grooves on the inner surface of a tube 管内非均匀槽电解加工中的流场分析

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-22 DOI: 10.1016/j.ijoes.2025.101273

Zijin Xue , Feng Yang , Jin Jiang

In order to improve the machining quality of the inner surface of non-uniform grooves, this study used ECM to complete the processing of special-shaped grooves. And the flow field distribution during the ECM process of non-uniform grooves on the inner surface of the tube was analyzed by simulation software. The simulation results show that the electrolyte is evenly distributed in the processing gap, and there is no cavitation, and the flow rate of the electrolyte gradually increases with the decrease of the machining gap. ECM experiments were carried out under different process parameters. The experimental results show that the average surface roughness of the workpiece processed by ECM technology is about 0.7, which is 89 % lower than that of the traditional surface roughness, and the shape accuracy meets the requirements. Under the same test conditions, the average depth of the groove increased by 0.55 mm and the average width increased by 0.6 mm for every 2 V increase of voltage, and the average depth increased by 0.2 and width increased by 0.25 for every 0.2 MPa increase in pressure. This study clarifies the processing process of non-uniform grooves by ECM technology, and provides an important theoretical basis for the processing of weapon devices.

为了提高非均匀槽内表面的加工质量，本研究采用电解加工技术完成异形槽的加工。利用仿真软件分析了管内非均匀凹槽电解加工过程中的流场分布。仿真结果表明，电解液在加工间隙内分布均匀，不存在空化现象，且电解液流速随着加工间隙的减小而逐渐增大。在不同工艺参数下进行了电解加工实验。实验结果表明，采用电解加工技术加工的工件平均表面粗糙度约为0.7，比传统表面粗糙度降低了89 %，形状精度满足要求。在相同试验条件下，电压每增加2 V，槽深平均增加0.55 mm，槽宽平均增加0.6 mm；压力每增加0.2 MPa，槽深平均增加0.2，槽宽平均增加0.25。本研究阐明了利用ECM技术加工非均匀沟槽的工艺过程，为武器装置加工提供了重要的理论依据。

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引用次数: 0

Effect of deformation treatment on corrosion properties of Fe-Mn-Si shape memory alloys 变形处理对Fe-Mn-Si形状记忆合金腐蚀性能的影响

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-04 DOI: 10.1016/j.ijoes.2025.101263

Li Xinmei , Li Zhiming , Suo Shuai , Xue Tianxiang , Li Wen , Guo Fuqiang

This study examines the corrosion response and microstructural evolution of Fe-15.5Mn-5.5Si-8.2Cr-5.5Ni shape memory alloy subjected to varying pre-deformation levels. Experimental findings reveal that pre-strain promotes stress-induced transformation of austenite into ε-martensite, which nucleates preferentially at austenite grain boundaries. A significant rise in dislocation density is observed near grain boundaries and phase interfaces, contributing to localized corrosion. As a result, the alloy exhibits increased susceptibility to corrosion with greater pre-deformation, demonstrating a clear deterioration in overall corrosion resistance.

研究了Fe-15.5Mn-5.5Si-8.2Cr-5.5Ni形状记忆合金在不同预变形水平下的腐蚀响应和显微组织演变。实验结果表明，预应变促进应力诱导的奥氏体向ε-马氏体转变，ε-马氏体优先在奥氏体晶界处成核。在晶界和相界面附近观察到位错密度的显著增加，导致局部腐蚀。结果，合金表现出更大的预变形对腐蚀的敏感性，表明整体耐腐蚀性明显下降。

引用次数: 0

Reduced graphene oxide-supported bipyridyl iron(II) complex as an efficient electrocatalyst for hydrogen evolution 还原氧化石墨烯负载的联吡啶铁（II）配合物作为析氢的高效电催化剂

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1016/j.ijoes.2025.101251

Amal BaQais , Mohamed M. Ibrahim , Salih S. Al-Juaid , Mohammed A. Amin

A bipyridyl-containing iron(II) complex, [Fe(BPy)₂Cl₂]•BPy (Fe-BPy), was synthesized and immobilized on reduced graphene oxide (rGO) to construct a hybrid electrocatalyst (Fe-BPy/rGO) for the hydrogen evolution reaction (HER) in alkaline media. Comprehensive characterization, including single-crystal XRD, spectroscopic, and electrochemical analyses, confirmed the octahedral geometry of Fe(II) and its stable non-covalent integration with rGO. Glassy carbon electrodes modified with Fe-BPy/rGO at different loading densities (0.1–0.5 mg cm⁻²) were evaluated in 0.1 M KOH. The optimized catalyst (0.5 mg cm⁻²) demonstrated outstanding HER activity, achieving an onset potential of −21 mV vs. RHE, an exchange current density of 0.7 mA cm⁻², and a Tafel slope of −114 mV dec⁻¹ , delivering 10 mA cm⁻² at an overpotential of 119 mV. These performances rival those of commercial Pt/C under identical conditions and surpass most reported molecular electrocatalysts in alkaline electrolytes. The hybrid also exhibited excellent durability, retaining activity after 5000 CV cycles and 48 h chronoamperometry. This study underscores the critical role of rGO in enhancing charge transfer, catalytic site accessibility, and long-term stability. The findings provide design guidelines for future molecular HER electrocatalysts, emphasizing the benefits of integrating earth-abundant transition-metal complexes with conductive carbon supports. Such hybrid systems represent a viable pathway toward cost-effective, scalable, and sustainable hydrogen production technologies.

合成了一种含联吡啶的铁（II）配合物[Fe（BPy）₂Cl₂]•BPy (Fe-BPy)，并将其固定在还原氧化石墨烯（rGO）上，构建了用于碱性介质中析氢反应（HER）的混合电催化剂（Fe-BPy/rGO）。综合表征，包括单晶XRD，光谱和电化学分析，证实了Fe（II）的八面体几何结构及其与还原氧化石墨烯的稳定非共价整合。在0.1 M KOH中对不同负载密度（0.1 - 0.5 mg cm⁻²）的Fe-BPy/rGO修饰的玻碳电极进行了评价。优化催化剂(0.5 mg  厘米⁻²)显示了卓越的活动,达到一个爆发的潜力−21 mV和流值的交换电流密度0.7马  厘米⁻²,和塔菲尔坡114− mV 12月⁻¹ ,交付10马  厘米⁻²的过电压119 mV。这些性能可与相同条件下的商用Pt/C相媲美，并且超过了大多数报道的碱性电解质中的分子电催化剂。该杂交品种还表现出优异的耐久性，在5000 CV循环和48 h时温后仍保持活性。这项研究强调了氧化石墨烯在增强电荷转移、催化位点可及性和长期稳定性方面的关键作用。这些发现为未来分子HER电催化剂的设计提供了指导，强调了将地球上丰富的过渡金属配合物与导电碳载体结合的好处。这种混合系统代表了一条可行的途径，可以实现成本效益高、可扩展和可持续的氢气生产技术。

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引用次数: 0

Preparation and electrochemical performance of Nb-doped LiFePO₄/C regenerated from spent Li-ion battery cathodes 废锂离子电池负极再生nb掺杂lifepo4 /C的制备及其电化学性能

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-12-11 DOI: 10.1016/j.ijoes.2025.101261

Yuan Tang, Yanshuai Zhao, Kaixiong Xiang

This study explores a method for the large-scale recycling and reuse of spent LiFePO₄ from industry by synthesizing regenerated LiFePO₄/C materials via a carbothermal reduction method using Nb-doped spent LiFePO₄ as precursors. Among these regenerated materials, the 3 wt% Nb-doped sample exhibits a first discharge capacity of 140.2 mA h/g at 1 C. At 0.1 C, 2 C, and 5 C, the first discharge capacities are 162.6, 125.4, and 75.3 mA h/g, respectively. These experimental results demonstrate the excellent electrochemical performance of the 3 wt% Nb-doped sample. The regeneration method employed in this study, which offers convenient operation, easy preparation, and low cost, proves to be a viable approach for recycling spent cathodes and reusing them.

本研究以掺杂铌的废LiFePO4为前驱体，通过碳热还原法制备再生LiFePO4/C材料，探索工业废LiFePO4大规模回收再利用的方法。在这些再生材料中，3 wt% nb掺杂样品在1 ℃下的首次放电容量为140.2 mA h/g。在0.1 C、2 C和5 C条件下，第一次放电容量分别为162.6、125.4和75.3 mA h/g。这些实验结果证明了3 wt% nb掺杂样品具有优异的电化学性能。本研究采用的再生方法具有操作方便、制备简单、成本低等优点，是一种可行的废阴极回收再利用方法。

引用次数: 0

Influence of chloride ion concentration on the corrosion behavior of 304 austenitic stainless steel in sulfuric acid 氯离子浓度对304奥氏体不锈钢在硫酸中腐蚀行为的影响

IF 2.4 4区化学 Q4 ELECTROCHEMISTRY

International Journal of Electrochemical Science

Pub Date : 2026-01-01 Epub Date: 2025-11-27 DOI: 10.1016/j.ijoes.2025.101257

Ahmed.S. Alshamsi, Asma.Y. Alkaabi, Afra.G. AlBlooshi

The corrosion behavior of 304 austenitic stainless steel in sulfuric acid (H₂SO₄) solutions was investigated as a function of chloride ion (Cl^-) concentration. The steel exhibited distinctive electrochemical behaviors governed by both acid and chloride concentrations. In H₂SO₄ solutions (≤ 1 M), the corrosion current density (i_corr) increased, while the polarization resistance (Rₚ) decreased with increasing Cl^- concentration, indicating accelerated corrosion rate. In contrast, in ≥ 2 M H₂SO₄ solutions, i_corr decreased and Rₚ increased with increasing Cl^- concentration up to approximately 0.5–1.0 M, followed by a reversal in trend at higher chloride levels (≥ 1 M NaCl). The pitting susceptibility of the steel was strongly influenced by both parameters, increasing with Cl^- concentration but diminishing with higher H₂SO₄ concentrations. These results demonstrate a competitive interaction between Cl^- and SO₄²⁻ ions, where sulfate ions inhibit pitting, thereby improving the corrosion resistance of 304 stainless steel in relatively high acidic concentration media.

研究了304奥氏体不锈钢在硫酸（H2SO4）溶液中的腐蚀行为与氯离子（Cl-）浓度的关系。在酸和氯化物浓度的共同作用下，钢表现出独特的电化学行为。在H2SO4溶液（≤1 M）中，随着Cl-浓度的增加，腐蚀电流密度（icorr）增大，极化电阻（Rₚ）减小，表明腐蚀速率加快。相反，在≥ 2 M的H2SO4溶液中，随着Cl-浓度的增加，icorr降低，Rₚ升高，达到约0.5-1.0 M，然后在更高的氯浓度（≥1 M NaCl）下趋势逆转。这两个参数对钢的点蚀敏感性都有强烈的影响，随着Cl-浓度的增加而增加，但随着H2SO4浓度的增加而降低。这些结果证明了Cl-和SO4²-之间的竞争性相互作用，其中硫酸盐离子抑制了点蚀，从而提高了304不锈钢在较高酸性浓度介质中的耐腐蚀性。

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引用次数: 0