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Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers

Maxime Van Haeverbeke (UGent) , Charlotte Cums, Thijs Vackier, Dries Braeken, Michiel Stock (UGent) , Hans Steenackers and Bernard De Baets (UGent)
(2024) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 244.
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Abstract
Electrochemical impedance spectroscopy has proven to be a promising technique for detecting bacterial biofilms. However, its potential for microbial identification has yet to be thoroughly investigated. In this work, we explore the classification of bacterial biofilms at both the strain and species level using commercial microelectrode arrays. Here, we built predictive decision tree ensemble classifiers based on impedance spectroscopy measurements and the extracted equivalent electrical circuit model features. We evaluated this experimental and modelling strategy for classifying a selection of bacterial (sub)species’ biofilms relevant to food processing and healthcare. The inclusion of equivalent electrical circuit features in the models consistently improves the classification performance by 2% to 11%. At the same time, a further robust improvement of 3% to 9% is achieved through the use of microelectrode arrays as opposed to single electrodes.
Keywords
Electrochemical impedance spectroscopy, Microelectrode arrays, Bacterial biofilms, Feature engineering, Random forests, IMPEDANCE SPECTROSCOPY, ESCHERICHIA-COLI, BACTERIAL BIOFILMS, INFECTIONS, ELECTRODE, CAPACITANCE, IDENTIFICATION, RESISTANCE

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MLA
Van Haeverbeke, Maxime, et al. “Impedimetric Biofilm Characterization with Microelectrode Arrays Using Equivalent Electrical Circuit Features and Ensemble Classifiers.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 244, 2024, doi:10.1016/j.chemolab.2023.105048.
APA
Van Haeverbeke, M., Cums, C., Vackier, T., Braeken, D., Stock, M., Steenackers, H., & De Baets, B. (2024). Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 244. https://doi.org/10.1016/j.chemolab.2023.105048
Chicago author-date
Van Haeverbeke, Maxime, Charlotte Cums, Thijs Vackier, Dries Braeken, Michiel Stock, Hans Steenackers, and Bernard De Baets. 2024. “Impedimetric Biofilm Characterization with Microelectrode Arrays Using Equivalent Electrical Circuit Features and Ensemble Classifiers.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 244. https://doi.org/10.1016/j.chemolab.2023.105048.
Chicago author-date (all authors)
Van Haeverbeke, Maxime, Charlotte Cums, Thijs Vackier, Dries Braeken, Michiel Stock, Hans Steenackers, and Bernard De Baets. 2024. “Impedimetric Biofilm Characterization with Microelectrode Arrays Using Equivalent Electrical Circuit Features and Ensemble Classifiers.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 244. doi:10.1016/j.chemolab.2023.105048.
Vancouver
1.
Van Haeverbeke M, Cums C, Vackier T, Braeken D, Stock M, Steenackers H, et al. Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2024;244.
IEEE
[1]
M. Van Haeverbeke et al., “Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers,” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 244, 2024.
@article{01HK9SQ2NXJGQPPDT04HMA7JMB,
  abstract     = {{Electrochemical impedance spectroscopy has proven to be a promising technique for detecting bacterial biofilms. However, its potential for microbial identification has yet to be thoroughly investigated. In this work, we explore the classification of bacterial biofilms at both the strain and species level using commercial microelectrode arrays. Here, we built predictive decision tree ensemble classifiers based on impedance spectroscopy measurements and the extracted equivalent electrical circuit model features. We evaluated this experimental and modelling strategy for classifying a selection of bacterial (sub)species’ biofilms relevant to food processing and healthcare. The inclusion of equivalent electrical circuit features in the models consistently improves the classification performance by 2% to 11%. At the same time, a further robust improvement of 3% to 9% is achieved through the use of microelectrode arrays as opposed to single electrodes.}},
  articleno    = {{105048}},
  author       = {{Van Haeverbeke, Maxime and Cums, Charlotte and Vackier, Thijs and Braeken, Dries and Stock, Michiel and Steenackers, Hans and De Baets, Bernard}},
  issn         = {{0169-7439}},
  journal      = {{CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS}},
  keywords     = {{Electrochemical impedance spectroscopy,Microelectrode arrays,Bacterial biofilms,Feature engineering,Random forests,IMPEDANCE SPECTROSCOPY,ESCHERICHIA-COLI,BACTERIAL BIOFILMS,INFECTIONS,ELECTRODE,CAPACITANCE,IDENTIFICATION,RESISTANCE}},
  language     = {{eng}},
  pages        = {{12}},
  title        = {{Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers}},
  url          = {{http://doi.org/10.1016/j.chemolab.2023.105048}},
  volume       = {{244}},
  year         = {{2024}},
}
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