Computer-Assisted Processing of Current Step Signals in Single Blocking Impact Electrochemistry

Current step signals related to single-entity collisions in blocking impact electrochemistry were analyzed by computer-assisted processing for estimating the size distributions of various particles. In this work, three different types of entities were studied by single blocking impact electrochemistry: polystyrene nanospheres (350 nm diameter) and microspheres (1 μm diameter), phospholipid liposomes (300 nm diameter) and two different strains of Gram-negative bacillus bacteria (<i>Escherichia coli</i> and <i>Shewanella oneidensis</i>). The size estimations of these different entities from the current step signal analysis were compared and discussed according to the shape and size of each entity. From the magnitude of the current step transient, the size distribution of each entity was calculated by a new computer program assisting in the detection and analysis of single impact events in chronoamperometry measurements. The data processing showed that the size distributions obtained from the electrochemical data agreed with the dynamic light scattering and atomic force microscopy data for nanospheres and liposomes. In contrast, the size estimation calculated from the electrochemical data was underestimated for microspheres and bacteria. We demonstrated that our computer program was efficient for detecting and analyzing the collision events in single blocking impact electrochemistry for various entities from spherical hard nanoparticles to micrometer-sized rod-shaped living bacteria.

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Publication Details

Journal
ACS Measurement Science Au
Published
2024-09-06
DOI
https://doi.org/10.1021/acsmeasuresciau.4c00046
Citations
6
Primary Topic
Electrochemical Analysis and Applications
Type
article
Field-Weighted Citation Impact
1.03

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article

Computer-Assisted Processing of Current Step Signals in Single Blocking Impact Electrochemistry

Mohammed Boujtita, Hassiba Smida, Arthur Langlard, Estelle Lebègue et al.
6 citations
ACS Measurement Science Au
Electrochemical Analysis and Applications
1.03
article

Computer-Assisted Processing of Current Step Signals in Single Blocking Impact Electrochemistry

Mohammed Boujtita, Hassiba Smida, Arthur Langlard, Estelle Lebègue, Christine Thobie‐Gautier, Romain Chevalet
article en
6 citations

Abstract

Current step signals related to single-entity collisions in blocking impact electrochemistry were analyzed by computer-assisted processing for estimating the size distributions of various particles. In this work, three different types of entities were studied by single blocking impact electrochemistry: polystyrene nanospheres (350 nm diameter) and microspheres (1 μm diameter), phospholipid liposomes (300 nm diameter) and two different strains of Gram-negative bacillus bacteria (<i>Escherichia coli</i> and <i>Shewanella oneidensis</i>). The size estimations of these different entities from the current step signal analysis were compared and discussed according to the shape and size of each entity. From the magnitude of the current step transient, the size distribution of each entity was calculated by a new computer program assisting in the detection and analysis of single impact events in chronoamperometry measurements. The data processing showed that the size distributions obtained from the electrochemical data agreed with the dynamic light scattering and atomic force microscopy data for nanospheres and liposomes. In contrast, the size estimation calculated from the electrochemical data was underestimated for microspheres and bacteria. We demonstrated that our computer program was efficient for detecting and analyzing the collision events in single blocking impact electrochemistry for various entities from spherical hard nanoparticles to micrometer-sized rod-shaped living bacteria.

ACS Measurement Science AuVol. 4(5)
Centre National de la Recherche Scientifique (FR), Chimie et Interdisciplinarité, Synthèse, Analyse, Modélisation (FR), Nantes Université (FR)
Agence Nationale de la Recherche, Conseil Régional des Pays de la Loire
Openalex Percentile: Top 28%
Electrochemical Analysis and Applications
1.03
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