Electroanalysis最新文献_第5页

Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling 人工智能和机器学习用于氧还原反应：催化剂发现和耐久性建模综述

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-11 DOI: 10.1002/elan.70204

Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen

{"title":"Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling","authors":"Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen","doi":"10.1002/elan.70204","DOIUrl":"https://doi.org/10.1002/elan.70204","url":null,"abstract":"The oxygen reduction reaction (ORR) at the cathode of proton exchange membrane fuel cells (PEMFCs) remains the principal kinetic bottleneck impeding the widespread adoption of hydrogen-based energy technologies. The inherently sluggish four-electron transfer process necessitates high platinum group metal (PGM) loadings, driving up costs and compromising durability, two factors that severely limit large-scale commercialization. Despite decades of research, the rational design of durable, high-performance ORR electrocatalysts has proven elusive, constrained by the vast compositional design space and the limitations of both trial-and-error experimentation and density functional theory (DFT) calculations. In recent years, artificial intelligence (AI) and machine learning (ML) have reshaped the landscape of catalyst discovery, enabling predictive structure–activity modeling, rapid development of surrogate models, and autonomous exploration of chemical design spaces. This review critically surveys AI and ML applications across the catalyst development pipeline, from dataset curation and supervised or deep learning models for activity prediction to ML-accelerated DFT screening and Bayesian optimization for autonomous discovery. Special attention is devoted to durability and degradation modeling, which remains underdeveloped compared to activity prediction despite its central importance for practical deployment.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/elan.70204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling 人工智能和机器学习用于氧还原反应：催化剂发现和耐久性建模综述

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-11 DOI: 10.1002/elan.70204

Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen

{"title":"Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling","authors":"Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen","doi":"10.1002/elan.70204","DOIUrl":"https://doi.org/10.1002/elan.70204","url":null,"abstract":"The oxygen reduction reaction (ORR) at the cathode of proton exchange membrane fuel cells (PEMFCs) remains the principal kinetic bottleneck impeding the widespread adoption of hydrogen-based energy technologies. The inherently sluggish four-electron transfer process necessitates high platinum group metal (PGM) loadings, driving up costs and compromising durability, two factors that severely limit large-scale commercialization. Despite decades of research, the rational design of durable, high-performance ORR electrocatalysts has proven elusive, constrained by the vast compositional design space and the limitations of both trial-and-error experimentation and density functional theory (DFT) calculations. In recent years, artificial intelligence (AI) and machine learning (ML) have reshaped the landscape of catalyst discovery, enabling predictive structure–activity modeling, rapid development of surrogate models, and autonomous exploration of chemical design spaces. This review critically surveys AI and ML applications across the catalyst development pipeline, from dataset curation and supervised or deep learning models for activity prediction to ML-accelerated DFT screening and Bayesian optimization for autonomous discovery. Special attention is devoted to durability and degradation modeling, which remains underdeveloped compared to activity prediction despite its central importance for practical deployment.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/elan.70204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Simultaneous Determination of Methyl Parathion and 4-Nitrophenol Using Reduced Graphene Oxide and Hafnium Oxide (rGO/HfO2) Nanocomposite 还原氧化石墨烯和氧化铪（rGO/HfO2）纳米复合材料同时测定甲基对硫磷和4-硝基苯酚

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-11 DOI: 10.1002/elan.70219

Heejeong Ryu, Jie He, Yangchao Luo, Yu Lei

{"title":"Simultaneous Determination of Methyl Parathion and 4-Nitrophenol Using Reduced Graphene Oxide and Hafnium Oxide (rGO/HfO2) Nanocomposite","authors":"Heejeong Ryu, Jie He, Yangchao Luo, Yu Lei","doi":"10.1002/elan.70219","DOIUrl":"https://doi.org/10.1002/elan.70219","url":null,"abstract":"Methyl parathion (MP) is a highly toxic organophosphate insecticide, while 4-nitrophenol (4-NP) is both an industrial contaminant and a methyl parathion degradation product. Because the two compounds can coexist, their simultaneous electrochemical determination is important but analytically challenging. In this study, a reduced graphene oxide/hafnium oxide (rGO/HfO2) nanocomposite-modified glassy carbon electrode was investigated for simultaneous determination of MP and 4-NP. Unlike our previously reported rGO/HfO2 method, which focused on sensitive detection of MP alone based on its strong reduction peak at a near-neutral pH, this work exploits the pH-enabled simultaneous detection of MP and its degradation product, 4-NP. Atomic force microscopy was used to compare the surface morphologies of GO, HfO2, and rGO/HfO2 nanocomposite. Cyclic voltammetry and differential pulse voltammetry were then utilized to analyze the electrochemical behavior of MP and 4-NP on the sensing composite at different pH values, identifying pH 5 as the optimal condition for resolving their respective oxidation responses. Under these conditions, a simple linear sweep voltammetry produced concentration-dependent oxidation responses from 100 to 1000 ppb, with detection limits of 34 ppb for MP and 49 ppb for 4-NP. Interference studies indicated that the selected compounds produced only limited changes in the analytical responses. Tests using filtered river water spiked with MP and 4-NP further demonstrated the feasibility of simultaneous determination in an environmental matrix. These results establish the feasibility of pH-enabled, cost-effective, sensitive, and user-friendly simultaneous detection of hazardous pesticides and their byproducts.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simultaneous Determination of Methyl Parathion and 4-Nitrophenol Using Reduced Graphene Oxide and Hafnium Oxide (rGO/HfO2) Nanocomposite 还原氧化石墨烯和氧化铪（rGO/HfO2）纳米复合材料同时测定甲基对硫磷和4-硝基苯酚

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-11 DOI: 10.1002/elan.70219

Heejeong Ryu, Jie He, Yangchao Luo, Yu Lei

{"title":"Simultaneous Determination of Methyl Parathion and 4-Nitrophenol Using Reduced Graphene Oxide and Hafnium Oxide (rGO/HfO2) Nanocomposite","authors":"Heejeong Ryu, Jie He, Yangchao Luo, Yu Lei","doi":"10.1002/elan.70219","DOIUrl":"https://doi.org/10.1002/elan.70219","url":null,"abstract":"Methyl parathion (MP) is a highly toxic organophosphate insecticide, while 4-nitrophenol (4-NP) is both an industrial contaminant and a methyl parathion degradation product. Because the two compounds can coexist, their simultaneous electrochemical determination is important but analytically challenging. In this study, a reduced graphene oxide/hafnium oxide (rGO/HfO2) nanocomposite-modified glassy carbon electrode was investigated for simultaneous determination of MP and 4-NP. Unlike our previously reported rGO/HfO2 method, which focused on sensitive detection of MP alone based on its strong reduction peak at a near-neutral pH, this work exploits the pH-enabled simultaneous detection of MP and its degradation product, 4-NP. Atomic force microscopy was used to compare the surface morphologies of GO, HfO2, and rGO/HfO2 nanocomposite. Cyclic voltammetry and differential pulse voltammetry were then utilized to analyze the electrochemical behavior of MP and 4-NP on the sensing composite at different pH values, identifying pH 5 as the optimal condition for resolving their respective oxidation responses. Under these conditions, a simple linear sweep voltammetry produced concentration-dependent oxidation responses from 100 to 1000 ppb, with detection limits of 34 ppb for MP and 49 ppb for 4-NP. Interference studies indicated that the selected compounds produced only limited changes in the analytical responses. Tests using filtered river water spiked with MP and 4-NP further demonstrated the feasibility of simultaneous determination in an environmental matrix. These results establish the feasibility of pH-enabled, cost-effective, sensitive, and user-friendly simultaneous detection of hazardous pesticides and their byproducts.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carbon-Based Electrodes in Electro-Organic Synthesis: Materials, Applications, and Perspectives 电有机合成中的碳基电极：材料、应用和前景

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-06 DOI: 10.1002/elan.70216

V. Sathya, R. Jagatheesan, D. Gopi, C. Christopher, R. Nagalakshmi

引用次数: 0

Carbon-Based Electrodes in Electro-Organic Synthesis: Materials, Applications, and Perspectives 电有机合成中的碳基电极：材料、应用和前景

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-06 DOI: 10.1002/elan.70216

V. Sathya, R. Jagatheesan, D. Gopi, C. Christopher, R. Nagalakshmi

引用次数: 0

A Non-Invasive Electrochemical Female-Hormone Monitoring Platform for Fertility and Menstrual-Cycle Management 一种用于生育和月经周期管理的无创电化学女性激素监测平台

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-06 DOI: 10.1002/elan.70217

Qiong Wu, Shuai Liu, Kun Wang

{"title":"A Non-Invasive Electrochemical Female-Hormone Monitoring Platform for Fertility and Menstrual-Cycle Management","authors":"Qiong Wu, Shuai Liu, Kun Wang","doi":"10.1002/elan.70217","DOIUrl":"https://doi.org/10.1002/elan.70217","url":null,"abstract":"A modular electrochemical platform was evaluated for monitoring estradiol (E2), progesterone (P4), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) in artificial sweat, artificial saliva, phosphate-buffered saline, and a spiked commercial matrix. Disposable screen-printed carbon electrodes (SPCEs) carried target-specific interfaces: a gold nanoparticle (AuNP)-MXene aptamer interface, a tin oxide-graphene/AuNP molecularly imprinted polymer (MIP)-aptamer interface, a closed bipolar electrode electrochemiluminescence immunosensor, and a reduced graphene oxide/multiwalled carbon nanotube/thionine/AuNP immunosensor. Cyclic voltammetry, square-wave voltammetry, differential pulse voltammetry, electrochemical impedance spectroscopy, electrochemiluminescence, and chronoamperometry were used for interface characterization and analyte measurement. The limits of detection were 0.21 pM for E2, 1.82 pM for P4, 8.9 µIU mL−1 for LH, and 0.063 mIU mL−1 for FSH. Recoveries were within 90%–110%, and signal retention exceeded 86% after 28 days. Mixed-effects analysis separated architecture effects from batch variance, whereas Bland–Altman and Passing–Bablok analyses supported agreement with a reference series. A 28-day cycle model classified the fertile window with a receiver operating characteristic area under the curve above 0.95. The results support a modular analytical strategy but identify integration, cost, and single-readout validation as priorities for translation.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Non-Invasive Electrochemical Female-Hormone Monitoring Platform for Fertility and Menstrual-Cycle Management 一种用于生育和月经周期管理的无创电化学女性激素监测平台

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-06 DOI: 10.1002/elan.70217

Qiong Wu, Shuai Liu, Kun Wang

{"title":"A Non-Invasive Electrochemical Female-Hormone Monitoring Platform for Fertility and Menstrual-Cycle Management","authors":"Qiong Wu, Shuai Liu, Kun Wang","doi":"10.1002/elan.70217","DOIUrl":"https://doi.org/10.1002/elan.70217","url":null,"abstract":"A modular electrochemical platform was evaluated for monitoring estradiol (E2), progesterone (P4), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) in artificial sweat, artificial saliva, phosphate-buffered saline, and a spiked commercial matrix. Disposable screen-printed carbon electrodes (SPCEs) carried target-specific interfaces: a gold nanoparticle (AuNP)-MXene aptamer interface, a tin oxide-graphene/AuNP molecularly imprinted polymer (MIP)-aptamer interface, a closed bipolar electrode electrochemiluminescence immunosensor, and a reduced graphene oxide/multiwalled carbon nanotube/thionine/AuNP immunosensor. Cyclic voltammetry, square-wave voltammetry, differential pulse voltammetry, electrochemical impedance spectroscopy, electrochemiluminescence, and chronoamperometry were used for interface characterization and analyte measurement. The limits of detection were 0.21 pM for E2, 1.82 pM for P4, 8.9 µIU mL−1 for LH, and 0.063 mIU mL−1 for FSH. Recoveries were within 90%–110%, and signal retention exceeded 86% after 28 days. Mixed-effects analysis separated architecture effects from batch variance, whereas Bland–Altman and Passing–Bablok analyses supported agreement with a reference series. A 28-day cycle model classified the fertile window with a receiver operating characteristic area under the curve above 0.95. The results support a modular analytical strategy but identify integration, cost, and single-readout validation as priorities for translation.","PeriodicalId":162,"journal":{"name":"Electroanalysis","volume":"38 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facilitation of Ion Transport Across a Bilayer Lipid Membrane Induced by the Inhalation Anesthetic Sevoflurane 吸入麻醉剂七氟醚诱导离子跨双分子层脂膜转运的促进作用

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-01 DOI: 10.1002/elan.70218

Hirotaka Matsumoto, Keisei Sowa, Yuki Kitazumi, Osamu Shirai

引用次数: 0

Facilitation of Ion Transport Across a Bilayer Lipid Membrane Induced by the Inhalation Anesthetic Sevoflurane 吸入麻醉剂七氟醚诱导离子跨双分子层脂膜转运的促进作用

IF 2.6 3区化学

Electroanalysis Pub Date : 2026-09-01 DOI: 10.1002/elan.70218

Hirotaka Matsumoto, Keisei Sowa, Yuki Kitazumi, Osamu Shirai

引用次数: 0