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Electro-organic hydrodehalgenation of organic waste and their mechanistic understandings 有机废物电-有机加氢脱卤及其机理研究
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-25 DOI: 10.1016/j.coelec.2025.101774
Alexander C. Reidell, Christopher T. LeBarron, Seyyedamirhossein Hosseini
Organic waste is one of the most diverse, abundant, and persistent types of pollutants, creating an urgent need for green and effective remediation strategies. Among various approaches, electrochemistry offers a unique opportunity, providing a flexible, scalable, efficient, and reagent-free method. Moreover, there is a strong correlation between the mechanistic understanding of organic waste degradation at the molecular level and the efficiency of the overall remediation process. Herein, we discuss major methods for remediating various types of halogenated organic waste and polymers, briefly explore the mechanistic insights behind each approach, and highlight key challenges and opportunities from a practical perspective.
有机废物是最多样化、最丰富、最持久的污染物类型之一,迫切需要绿色有效的修复策略。在各种方法中,电化学提供了一个独特的机会,提供了一个灵活的,可扩展的,高效的,无试剂的方法。此外,在分子水平上对有机废物降解机制的理解与整体修复过程的效率之间存在很强的相关性。在此,我们讨论了修复各种类型的卤化有机废物和聚合物的主要方法,简要探讨了每种方法背后的机制见解,并从实践的角度强调了关键的挑战和机遇。
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引用次数: 0
Harnessing the potential of artificial intelligence and 3D-printed electrochemical sensors for environmental analysis 利用人工智能和3d打印电化学传感器的潜力进行环境分析
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-25 DOI: 10.1016/j.coelec.2025.101772
Ravery Sebuyoya, Glen D. O'Neil
Integrating artificial intelligence (AI) with 3D-printed electrochemical sensors has tremendous potential to revolutionize environmental monitoring. This Opinion explores the opportunities enabled by combining AI with 3D-printed electrochemical sensors for detecting various environmental analytes. It examines recent advancements in 3D-printed sensors for environmental applications, the integration of AI into 3D printing technologies, and the opportunities and challenges associated with applying AI to electrochemical sensing, particularly in environmental analysis.
将人工智能(AI)与3d打印电化学传感器相结合,在彻底改变环境监测方面具有巨大的潜力。本意见探讨了将人工智能与3d打印电化学传感器相结合,用于检测各种环境分析物所带来的机会。它探讨了用于环境应用的3D打印传感器的最新进展,人工智能与3D打印技术的集成,以及将人工智能应用于电化学传感,特别是在环境分析方面的机遇和挑战。
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引用次数: 0
Application of four-dimensional impedance analysis to elucidating corrosion mechanisms in additively manufactured metals and alloys 应用四维阻抗分析阐明增材制造金属和合金的腐蚀机理
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-22 DOI: 10.1016/j.coelec.2025.101773
Yoshinao Hoshi , Dasom Kim , Naoki Takata
This review describes a four-dimensional (4D) impedance analysis approach for analyzing the oxide film formation process that accompanies the dissolution of metals and alloys. In this analysis, the measured impedance was plotted on a three-dimensional (3D) complex impedance plot composed of real, imaginary, and time axes. Since the impedance plots of the same frequency in each spectrum are smoothly connected using a spline under tension function, the instantaneous impedance can be determined at an arbitrary time on the 3D complex impedance plot. In this review, the application of 4D impedance analysis to an additively manufactured aluminum alloy produced by a laser powder bed fusion process is introduced as a representative additive manufacturing technology. Additionally, the corrosion resistance mechanisms are discussed based on the impedance variation, which is attributed to dissolution and oxide film formation to generate a unique alloy structure.
本文介绍了一种用于分析金属和合金溶解过程中氧化膜形成过程的四维阻抗分析方法。在这个分析中,测量的阻抗被绘制在三维(3D)复杂阻抗图上,该阻抗图由实轴、虚轴和时间轴组成。由于每个频谱中相同频率的阻抗图在张力函数下使用样条平滑连接,因此可以在三维复阻抗图上任意时刻确定瞬时阻抗。本文介绍了一种具有代表性的增材制造技术——激光粉末床熔融增材制造铝合金的4D阻抗分析应用。此外,还讨论了基于阻抗变化的耐腐蚀机理,这是由于溶解和氧化膜的形成而产生的独特的合金结构。
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引用次数: 0
Recent progress in low-cost methods for electrochemical sensor fabrication 低成本电化学传感器制造方法的最新进展
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-17 DOI: 10.1016/j.coelec.2025.101771
Nadia Moukri, Bernardo Patella, Rosalinda Inguanta
Electrochemical sensors have become essential tools in modern technology. They are recognized for their high sensitivity, selectivity, and real-time detection ability. As technology progresses, electrochemical sensors have evolved, providing improved performance, and opening new opportunities for on-the-spot detection and analysis. Their applications extend across various fields, such as medical diagnostics, environmental monitoring, and food safety. The largest application area of sensors is undoubtedly biomedical sciences, where their integration has significantly advanced diagnostics, monitoring, and treatment. This review summarizes recent progress in low-cost electrochemical sensor fabrication methods, including 3D printing, laser-induced graphene, CD/DVD recycling, and conductive inks. We highlight their performances, cost-effectiveness, and scalability, emphasizing biomedical diagnostics while also considering environmental, forensic, and industrial applications. The discussion outlines both achievements and remaining challenges, offering perspectives for future development.
电化学传感器已成为现代技术中必不可少的工具。它们因其高灵敏度、选择性和实时检测能力而得到认可。随着技术的进步,电化学传感器不断发展,提供了更好的性能,并为现场检测和分析开辟了新的机会。它们的应用扩展到各个领域,如医疗诊断、环境监测和食品安全。传感器最大的应用领域无疑是生物医学科学,它们的集成极大地促进了诊断、监测和治疗。本文综述了低成本电化学传感器制造方法的最新进展,包括3D打印、激光诱导石墨烯、CD/DVD回收和导电油墨。我们强调它们的性能、成本效益和可扩展性,强调生物医学诊断,同时也考虑环境、法医和工业应用。讨论概述了取得的成就和仍然存在的挑战,为未来的发展提供了前景。
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引用次数: 0
Electrochemical biosensors for smart agri-food monitoring and decision support 用于智能农业食品监测和决策支持的电化学生物传感器
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-14 DOI: 10.1016/j.coelec.2025.101770
Maryam Awan, Aqsa Khan, Jehad Abdelnabi, Silvana Andreescu
The growing demand for food quality, safety and sustainability is driving the adoption of cost-effective real-time monitoring systems across the agricultural and food chain. This review critically examines the status of electrochemical biosensors for monitoring key agri-food targets including bacteria and foodborne contaminants, nutritional components, pesticide residues, soil nutrients, fertilizers and environmental pollutants, and their potential to address global food challenges. Following an overview of sensor types, target analytes, detection mechanisms and performance metrics, we discuss key barriers to field deployment such as stability, matrix interference, calibration, standardization and user acceptance. Proposed solutions such as integration with mobile platforms, data analytics and intuitive interfaces are outlined as potential pathways to accelerate adoption. With further development, electrochemical biosensors have the potential to become powerful tools in data-driven decision support systems, enabling precision agriculture, risk assessment and improved food quality.
对食品质量、安全和可持续性的需求不断增长,推动了整个农业和食品链采用具有成本效益的实时监测系统。本文综述了电化学生物传感器用于监测关键农业食品目标的现状,包括细菌和食源性污染物、营养成分、农药残留、土壤养分、肥料和环境污染物,以及它们应对全球粮食挑战的潜力。在概述了传感器类型、目标分析物、检测机制和性能指标之后,我们讨论了现场部署的关键障碍,如稳定性、矩阵干扰、校准、标准化和用户接受度。建议的解决方案,如与移动平台的集成、数据分析和直观的界面被概述为加速采用的潜在途径。随着进一步发展,电化学生物传感器有可能成为数据驱动的决策支持系统中的强大工具,从而实现精准农业、风险评估和提高食品质量。
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引用次数: 0
From lab to industry: Challenges in scaling Cu-based electrodes for CO2 electroreduction to multi-carbon products 从实验室到工业:将铜基电极用于二氧化碳电还原到多碳产品的挑战
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-13 DOI: 10.1016/j.coelec.2025.101769
Thao-Nguyen Ho , Trong Huy Pham , Yueying Li , Hossein Esmaeili , Cao-Thang Dinh
The electrochemical reduction of carbon dioxide (CO2RR) to valuable multi-carbon (C2+) products presents a promising strategy for sustainable fuel and chemical production. Copper (Cu)-based catalysts are particularly suited for C–C bond formation thanks to their unique interaction with key CO2RR intermediates. Recent advancements in catalyst design, including surface engineering, molecular coating, doping and alloying, and tandem catalysis, have significantly improved C2+ product selectivity at the laboratory scale. However, translating these improvements to large-area electrodes remains a critical challenge due to difficulties in catalyst synthesis, structural stability, and fabrication techniques. This review explores the latest progress in Cu-based CO2RR catalysts, highlights the barriers to scaling up synthesis and electrode fabrication, and proposes potential solutions inspired by established industrial technologies. Addressing these challenges could bring CO2RR closer to commercial viability, enabling the large-scale production of sustainable carbon-based fuels and chemicals.
电化学还原二氧化碳(CO2RR)为有价值的多碳(C2+)产品提供了一种有前途的可持续燃料和化工生产策略。由于铜基催化剂与关键的CO2RR中间体具有独特的相互作用,因此特别适合于C-C键的形成。催化剂设计的最新进展,包括表面工程、分子涂层、掺杂和合金化以及串联催化,在实验室规模上显著提高了C2+产物的选择性。然而,由于催化剂合成、结构稳定性和制造技术的困难,将这些改进转化为大面积电极仍然是一个关键的挑战。本文综述了cu基CO2RR催化剂的最新进展,强调了扩大合成和电极制造的障碍,并提出了受现有工业技术启发的潜在解决方案。解决这些挑战可以使CO2RR更接近商业可行性,从而实现可持续碳基燃料和化学品的大规模生产。
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引用次数: 0
Impedance spectroscopy of neurons, inductors and synapses: A path to understanding brain-like computation 神经元、感应器和突触的阻抗谱:理解类脑计算的途径
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-10 DOI: 10.1016/j.coelec.2025.101767
Jenifer Rubio-Magnieto, Juan Bisquert
This review underscores the growing relevance of impedance spectroscopy (IS) in neuromorphic research and its capacity to advance brain-inspired computation. Neuromorphic systems, which emulate biological neural networks, provide compact, adaptive, and energy-efficient solutions for edge applications such as robotics, wearable health monitoring, and environmental sensing. Since early studies on electrochemical oscillators, IS has been pivotal in probing neuron-like dynamics. Frequency-domain analysis of artificial synapses yields essential insights into synaptic plasticity—the core mechanism of learning and memory—shaped by functions like retention and filtering. Memristor-based synapses display chemical inductor behavior, evident as a negative arc in impedance spectra, highlighting their complex dynamics. More broadly, IS is increasingly positioned not only as a diagnostic tool for material performance but also as a framework for designing systems governed by ion migration, accumulation, and relaxation. By capturing these processes, IS provides a powerful perspective for analyzing and engineering physical computation components.
这篇综述强调了阻抗谱(IS)在神经形态研究中的日益重要的意义,以及它在促进大脑启发计算方面的能力。神经形态系统模拟生物神经网络,为机器人、可穿戴健康监测和环境传感等边缘应用提供紧凑、自适应和节能的解决方案。自从电化学振荡器的早期研究以来,IS一直是探测神经元样动力学的关键。对人工突触的频域分析可以让我们深入了解突触的可塑性——学习和记忆的核心机制——由保留和过滤等功能形成。基于忆阻器的突触表现出化学电感的行为,在阻抗谱中表现为负弧,突出了它们复杂的动力学特性。更广泛地说,IS不仅被定位为材料性能的诊断工具,而且还被定位为设计由离子迁移、积累和松弛控制的系统的框架。通过捕获这些过程,IS为分析和设计物理计算组件提供了一个强大的视角。
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引用次数: 0
Impedance of porous electrodes 多孔电极阻抗
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-10 DOI: 10.1016/j.coelec.2025.101764
Andrzej Lasia
Porous electrodes are important in practical applications of electrochemistry. Single cylindrical pore models are first presented. In the presence of direct current (DC) DC potential and DC concentration gradients appear. These gradients are related to each other. Analytical solutions exist only in the absence of the DC potential gradient. When a concentration gradient is present, two semicircles appear on the complex plane plots. Solution resistivity in pores causes formation of the high frequency line at 45° on the complex plane plots.
However, the real pores are multidimensional containing macro, meso, and micro pores. Many models of inhomogeneous porosity were developed. Further models used Poisson–Nernst–Planck theory to include charge interactions. In very narrow pores, double layers of the pore walls overlap. Future challenge is to obtain pore parameters from the impedance measurements of complex systems.
多孔电极在电化学的实际应用中具有重要意义。首次提出了单圆柱孔隙模型。在直流(DC)存在的情况下,会出现直流电位和直流浓度梯度。这些梯度是相互关联的。解析解只存在于没有直流电位梯度的情况下。当存在浓度梯度时,在复平面图上出现两个半圆。孔隙中的溶蚀电阻率导致复平面图上45°处形成高频线。而真实孔隙是多维的,包含宏观、中观和微观孔隙。建立了许多非均匀孔隙度模型。进一步的模型使用泊松-能-普朗克理论来包括电荷相互作用。在非常窄的孔隙中,两层孔壁重叠。未来的挑战是如何从复杂系统的阻抗测量中获得孔隙参数。
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引用次数: 0
Continuous monitoring of biomolecular targets in vivo using DNA-based electrochemical sensors 利用基于dna的电化学传感器对体内生物分子靶标进行连续监测
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-10 DOI: 10.1016/j.coelec.2025.101765
Alejandro Chamorro-Garcia , Myriam Alfonsini , Daniele Caprioli , Claudio Parolo , Andrea Idili
Real-time, continuous in vivo molecular monitoring is crucial for advancing biomedical research and clinical healthcare, yet traditional methods face significant limitations. Electrochemical DNA-based (eDNA) biosensors are emerging as a powerful and highly versatile platform to address these needs. This review highlights key advancements within the last three years in eDNA biosensors tailored for in vivo continuous monitoring, emphasizing strategies to overcome challenges in stability, selectivity, and reversibility. Specifically, we delve into core eDNA biosensor designs and their in vivo applications, such as therapeutic drug monitoring, pharmacokinetic studies, real-time tracking of disease and neurochemical biomarkers, and feedback-controlled drug delivery. Furthermore, we critically examine significant progress in developing calibration-free operational strategies and ongoing efforts to tackle challenges related to long-term stability, receptor responsiveness, and target selectivity. The continued evolution of these platforms and their integration with artificial intelligence, positions eDNA biosensors as transformative tools for future biomedical breakthroughs and precision healthcare.
实时、连续的体内分子监测对于推进生物医学研究和临床医疗保健至关重要,但传统方法面临着显著的局限性。基于电化学dna (eDNA)的生物传感器正在成为解决这些需求的强大且高度通用的平台。这篇综述强调了过去三年来eDNA生物传感器在体内连续监测方面的关键进展,强调了克服稳定性、选择性和可逆性挑战的策略。具体而言,我们深入研究核心eDNA生物传感器设计及其在体内的应用,如治疗药物监测,药代动力学研究,疾病和神经化学生物标志物的实时跟踪,以及反馈控制的药物递送。此外,我们严格审查了在开发无校准操作策略和持续努力方面取得的重大进展,以解决与长期稳定性、受体反应性和目标选择性相关的挑战。这些平台的不断发展及其与人工智能的集成,使eDNA生物传感器成为未来生物医学突破和精准医疗的变革性工具。
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引用次数: 0
Review—Electrochemical impedance spectroscopy for lithium-ion batteries: Measurement and analysis (for automotive applications) 锂离子电池的电化学阻抗谱:测量和分析(汽车应用)
IF 6.9 2区 化学 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-10-10 DOI: 10.1016/j.coelec.2025.101768
Rico Klink , René H.E. van Doorn , André Weber
Electrochemical impedance spectroscopy is a reliable tool for the electrochemical analysis of various types of electrochemical cells. It is commonly applied in research and development to deconvolute and quantify different electrochemical processes limiting the cell performance and to understand ageing phenomena in the cell. Due to its performance, electrochemical impedance spectroscopy is increasingly considered to be used on the system level in commercial applications of electrochemical cells.
In this contribution, recent approaches to apply electrochemical impedance spectroscopy in automotive lithium-ion battery systems are reviewed. We will discuss advanced measurement, data analysis and modelling approaches that provide access to essential information of the battery’s state and show a potential to meet the requirements of automotive battery systems.
电化学阻抗谱是分析各类电化学电池的可靠工具。它通常应用于研究和开发中,以反卷积和量化限制电池性能的不同电化学过程,并了解电池中的老化现象。由于其优异的性能,电化学阻抗谱在电化学电池的商业应用中越来越被认为是在系统层面上的应用。本文综述了电化学阻抗谱在汽车锂离子电池系统中的应用。我们将讨论先进的测量、数据分析和建模方法,这些方法提供了获取电池状态基本信息的途径,并展示了满足汽车电池系统要求的潜力。
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引用次数: 0
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Current Opinion in Electrochemistry
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