{"title":"电化学传感器漂移的多变量诊断通过原位阻抗光谱和伏安法:一个基于苯二醇的框架","authors":"Abhilash Krishnamurthy , Kristina Žagar Soderžnik","doi":"10.1016/j.sbsr.2025.100871","DOIUrl":null,"url":null,"abstract":"<div><div>Performance drift in electrochemical sensors remains a challenge in long-term and/or corrosive applications. We present a generalisable<em>,</em> in situ diagnostic framework based on electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV), using screen-printed electrodes (SPE) and benzenediols (catechol, resorcinol and hydroquinone) in acidic media as a model system. Two sensor types, unmodified and Pt/C-modified SPEs, were tested across repeated CV cycles, with polarisation resistance (<em>R</em><sub><em>P</em></sub>) and effective capacitance (<em>C</em><sub><em>eff</em></sub>) extracted from equivalent circuit models.</div><div>Unmodified SPEs showed progressive activation, while modified SPEs exhibited early improvement followed by degradation. To synthesise trends across <em>R</em><sub><em>P</em></sub>, <em>C</em><sub><em>eff</em></sub>, and net charge transfer (<em>Qₙ</em>) obtained from CV data, principal component analysis (PCA) was applied. PCA revealed smooth, directional evolution for unmodified SPEs and disordered, non-monotonic drift in modified SPEs, reinforcing the EIS results.</div><div>This approach enables online, non-destructive tracking of electrochemical sensor health and offers a transferable framework for performance assurance, quality control, and lifecycle monitoring. It repositions EIS from static characterisation to an embedded, multivariate diagnostic tool.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"50 ","pages":"Article 100871"},"PeriodicalIF":4.9000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multivariate diagnostics of electrochemical sensor drift by in situ impedance spectroscopy and voltammetry: A benzenediol-based framework\",\"authors\":\"Abhilash Krishnamurthy , Kristina Žagar Soderžnik\",\"doi\":\"10.1016/j.sbsr.2025.100871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Performance drift in electrochemical sensors remains a challenge in long-term and/or corrosive applications. We present a generalisable<em>,</em> in situ diagnostic framework based on electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV), using screen-printed electrodes (SPE) and benzenediols (catechol, resorcinol and hydroquinone) in acidic media as a model system. Two sensor types, unmodified and Pt/C-modified SPEs, were tested across repeated CV cycles, with polarisation resistance (<em>R</em><sub><em>P</em></sub>) and effective capacitance (<em>C</em><sub><em>eff</em></sub>) extracted from equivalent circuit models.</div><div>Unmodified SPEs showed progressive activation, while modified SPEs exhibited early improvement followed by degradation. To synthesise trends across <em>R</em><sub><em>P</em></sub>, <em>C</em><sub><em>eff</em></sub>, and net charge transfer (<em>Qₙ</em>) obtained from CV data, principal component analysis (PCA) was applied. PCA revealed smooth, directional evolution for unmodified SPEs and disordered, non-monotonic drift in modified SPEs, reinforcing the EIS results.</div><div>This approach enables online, non-destructive tracking of electrochemical sensor health and offers a transferable framework for performance assurance, quality control, and lifecycle monitoring. It repositions EIS from static characterisation to an embedded, multivariate diagnostic tool.</div></div>\",\"PeriodicalId\":424,\"journal\":{\"name\":\"Sensing and Bio-Sensing Research\",\"volume\":\"50 \",\"pages\":\"Article 100871\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensing and Bio-Sensing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214180425001370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180425001370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Multivariate diagnostics of electrochemical sensor drift by in situ impedance spectroscopy and voltammetry: A benzenediol-based framework
Performance drift in electrochemical sensors remains a challenge in long-term and/or corrosive applications. We present a generalisable, in situ diagnostic framework based on electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV), using screen-printed electrodes (SPE) and benzenediols (catechol, resorcinol and hydroquinone) in acidic media as a model system. Two sensor types, unmodified and Pt/C-modified SPEs, were tested across repeated CV cycles, with polarisation resistance (RP) and effective capacitance (Ceff) extracted from equivalent circuit models.
Unmodified SPEs showed progressive activation, while modified SPEs exhibited early improvement followed by degradation. To synthesise trends across RP, Ceff, and net charge transfer (Qₙ) obtained from CV data, principal component analysis (PCA) was applied. PCA revealed smooth, directional evolution for unmodified SPEs and disordered, non-monotonic drift in modified SPEs, reinforcing the EIS results.
This approach enables online, non-destructive tracking of electrochemical sensor health and offers a transferable framework for performance assurance, quality control, and lifecycle monitoring. It repositions EIS from static characterisation to an embedded, multivariate diagnostic tool.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.