{"title":"Harnessing instrumentation and artificial intelligence for new insights and applications in single-entity electrochemistry","authors":"Gabriel Gemadzie , Peter McPike , Aliaksei Boika","doi":"10.1016/j.coelec.2025.101724","DOIUrl":null,"url":null,"abstract":"<div><div>The field of single-entity electrochemistry (SEE) has rapidly evolved, driven by innovative advancements in instrumentation, sophisticated data analysis powered by artificial intelligence (AI) and machine learning (ML), and an expanding range of applications across multiple disciplines. This review highlights significant recent progress in instrument developments that enhance the spatial and temporal resolution of SEE measurements, as well as data analysis employing AI methodologies to improve the processing, interpretation, and accuracy of complex electrochemical datasets. Additionally, we provide an overview of impactful recent applications of SEE in energy storage, catalysis, environmental monitoring, and biosensing, demonstrating the critical importance and transformative potential of single-entity measurements. By integrating advanced instrumentation with powerful data analytical frameworks, SEE continues to reveal unique insights at the nanoscale, bridging fundamental electrochemical research and practical applications.</div></div>","PeriodicalId":11028,"journal":{"name":"Current Opinion in Electrochemistry","volume":"52 ","pages":"Article 101724"},"PeriodicalIF":7.9000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Electrochemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451910325000833","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The field of single-entity electrochemistry (SEE) has rapidly evolved, driven by innovative advancements in instrumentation, sophisticated data analysis powered by artificial intelligence (AI) and machine learning (ML), and an expanding range of applications across multiple disciplines. This review highlights significant recent progress in instrument developments that enhance the spatial and temporal resolution of SEE measurements, as well as data analysis employing AI methodologies to improve the processing, interpretation, and accuracy of complex electrochemical datasets. Additionally, we provide an overview of impactful recent applications of SEE in energy storage, catalysis, environmental monitoring, and biosensing, demonstrating the critical importance and transformative potential of single-entity measurements. By integrating advanced instrumentation with powerful data analytical frameworks, SEE continues to reveal unique insights at the nanoscale, bridging fundamental electrochemical research and practical applications.
期刊介绍:
The development of the Current Opinion journals stemmed from the acknowledgment of the growing challenge for specialists to stay abreast of the expanding volume of information within their field. In Current Opinion in Electrochemistry, they help the reader by providing in a systematic manner:
1.The views of experts on current advances in electrochemistry in a clear and readable form.
2.Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications.
In the realm of electrochemistry, the subject is divided into 12 themed sections, with each section undergoing an annual review cycle:
• Bioelectrochemistry • Electrocatalysis • Electrochemical Materials and Engineering • Energy Storage: Batteries and Supercapacitors • Energy Transformation • Environmental Electrochemistry • Fundamental & Theoretical Electrochemistry • Innovative Methods in Electrochemistry • Organic & Molecular Electrochemistry • Physical & Nano-Electrochemistry • Sensors & Bio-sensors •