Electrochemical impedance spectroscopy of PEM fuel cells at low hydrogen partial pressures: efficient cell tests for mass production

Haimerl, Felix; Kumar, Sunil; Heere, Michael; Bandarenka, Aliaksandr S.

doi:10.1039/d3im00075c

Cited by 4 publications

(1 citation statement)

References 50 publications

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“…Electrochemical Impedance Spectroscopy (EIS) stands as a cornerstone technique in the contemporary electrochemist's arsenal, [1] finding its applicability across diverse domains such as batteries, [2] corrosion, [3][4][5] fuel cells, [6,7] supercapacitors, [8] and sensors, [9] to name a few. The rapid advancements in electrochemistry over the past decades, combined with the ease of EIS operation, have now made it feasible to routinely collect upwards of 20,000 spectra [10,11] -a feat once thought inconceivable.…”

Section: Introductionmentioning

confidence: 99%

Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Makogon,

Kanoufi,

Shkirskiy

2024

ChemElectroChem

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As electrochemical research undergoes rapid technological progression, the acquisition of substantial amounts of electrochemical impedance spectra (EIS) becomes increasingly feasible. Yet, this advancement introduces intricate challenges in data processing, automation, and interpretation. This paper delves into the sufficiency of unsupervised machine learning (ML) and in particular dimensionality reduction methods in decoding EIS complexities, examining its strengths, limitations, and potential pathways for optimization. As we navigated the intricacies of non‐linear dimensionality reduction, spotlighting t‐distributed stochastic neighbor embedding (t‐SNE) and uniform manifold approximation and projection (UMAP) algorithms, a pattern emerged: these techniques excel at categorizing divergent impedance spectra but show limitations when faced with analogous circuit configurations, especially those substituting a capacitor with a constant phase element. This observation not only underscores a limitation but also accentuates that unsupervised ML approaches, alone, may not fully unravel the nuances of EIS spectra. In the concluding section of our manuscript, we discuss the implications of this finding from a practical standpoint, particularly for electrochemists seeking to apply these methods in their work.

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Section: Introductionmentioning

confidence: 99%

Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Makogon,

Kanoufi,

Shkirskiy

2024

ChemElectroChem

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Scanning impedance microscopy under oxygen reduction reaction conditions. Proof of the concept

Schott,

Hofbauer,

Gubanova

et al. 2025

Electrochimica Acta

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Roles of Interdigitated Electrode Geometry in Non-Faradaic Impedimetric Biosensors

Assaifan,

Almansour,

Alessa

et al. 2024

J. Electrochem. Soc.

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In this work, we investigate the effect of interdigitated electrode fingers width and gap on the performance of biosensors. Two different configurations of interdigitated electrodes were utilized; one consists of 50 µm wide fingers with a gap of 50 µm, and the other consists of 100 µm wide fingers with a 100 µm gap. First, the active surface area of both interdigitated electrodes was investigated. Then, the surface electronic parameters were investigated using faradaic and non-faradaic electrochemical impedance spectroscopy modes. Both interdigitated electrodes were then functionalized with LDL-antibodies through a standard chemical functionalization route and were utilized for the detection of LDL-antigen of cholesterol. The biosensor with 50 µm width and gap demonstrated better sensitivity and limit of detection of 6.08 nF/log(ng/mL) and 40 pg/mL, respectively. Biosensors with 100 µm finger width and gap sensitivity and detection limit are 5.16 nF/log(ng/mL) and 300 pg/mL, respectively. The enhanced sensitivity and limit of detection for the first biosensor is due to the increased surface area, enhanced electric field, and less diffusion of ions onto the biosensor surface. The study reported here suggests room for improving the geometry of many interdigitated electrodes for enhanced non-faradaic biosensing performances.

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Electrochemical impedance spectroscopy of PEM fuel cells at low hydrogen partial pressures: efficient cell tests for mass production

Abstract: Electrochemical impedance spectroscopy of PEM fuel cells under varying hydrogen concentrations reveals the origins of the correlation between hydrogen partial pressure and fuel cell performance.

Cited by 4 publications

References 50 publications

Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Scanning impedance microscopy under oxygen reduction reaction conditions. Proof of the concept

Roles of Interdigitated Electrode Geometry in Non-Faradaic Impedimetric Biosensors

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