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 benzenedi...

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書誌詳細
出版年:Sensing and Bio-Sensing Research
主要な著者: Abhilash Krishnamurthy, Kristina Žagar Soderžnik
フォーマット: 論文
言語:英語
出版事項: Elsevier 2025-12-01
主題:
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2214180425001370
その他の書誌記述
要約: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.
ISSN:2214-1804