Chemometrics in Electroanalysis and Electrochemical Sensing

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".

Deadline for manuscript submissions: 10 January 2026 | Viewed by 1562

Special Issue Editors


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Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil
Interests: chemometrics; electrochemistry; analytical chemistry

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Guest Editor
School of Chemistry, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK
Interests: molecular imprinted polymers; sensors; defense; forensic science; environmental chemistry; explosives; drug analysis
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Special Issue Information

Dear Colleagues,

Chemometrics is a multidisciplinary field that combines principles from chemistry, mathematics, statistics, and computer science to extract meaningful information from complex chemical datasets and enhance the utilization of chemical measurements. Chemometrics is a powerful tool in the field of electroanalysis, significantly contributing to expanding the role of electrochemical sensors in modern analytical demands. It allows for more robust and accurate electrochemical methods through efficient experimental design and enhanced data interpretation, leading to better utilization of electroanalytical techniques in various fields such as environmental analysis, pharmaceutical analysis, food analysis, bioanalysis, and many others. Chemosensors presents this Special Issue with the intention to bring together applications and innovations at the frontier of the association between chemometrics and electroanalysis or in the multivariate treatment of data generated by electrochemical sensors. The topics covered in this Special Issue encompass from multivariate design and optimization of sensors and electroanalytical methods, to the use of electrochemical sensor arrays (such as electronic tongues and noses), to the development of electroanalytical methods based on first-order or higher-order multivariate calibration, as well as innovative applications of machine learning techniques in the context of electroanalysis. Both review and original research articles are welcomed to highlight the latest developments and future challenges in this thrilling interface.

Prof. Dr. Sherlan Guimarães Lemos
Dr. Jose Gonzalez-Rodriguez
Guest Editors

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Keywords

  • multivariate optimization of electrochemical sensors
  • electronic tongues and noses
  • linear and nonlinear first-order calibration
  • second and higher-order calibration
  • machine learning-based electrochemical methods

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Published Papers (1 paper)

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Research

18 pages, 4654 KB  
Article
Principal Component Analysis of Transient Potential Signals from Ion-Selective Electrodes for the Identification and Quantification of Different Ions
by José Antonio González-Franco, José Manuel Olmos, Alberto Ruiz and Joaquín Ángel Ortuño
Chemosensors 2025, 13(8), 305; https://doi.org/10.3390/chemosensors13080305 - 13 Aug 2025
Viewed by 884
Abstract
This study investigates the potential of transient potentiometric signals generated by an array of ion-selective electrodes (ISEs) as the basis for a potentiometric electronic tongue capable of identifying and quantifying a range of inorganic and organic cations. Six distinct polymeric membrane ISEs were [...] Read more.
This study investigates the potential of transient potentiometric signals generated by an array of ion-selective electrodes (ISEs) as the basis for a potentiometric electronic tongue capable of identifying and quantifying a range of inorganic and organic cations. Six distinct polymeric membrane ISEs were fabricated, differing in plasticizer type (either NPOE or DEHS), and in the presence or absence of a lipophilic ion exchanger (KTClPB) and/or an ionophore (DB18C6). Transient potential responses were recorded following the exposure of the electrode array to various cations at different concentrations. A total of 810 transient signals were analyzed through visual inspection and principal component analysis (PCA), revealing characteristic dynamic patterns influenced by membrane composition, ion type, and ion concentration. PCA was conducted both on the transient signals from each individual electrode and on the aggregated dataset comprising signals from the full six-electrode array (electronic tongue). The electronic tongue exhibited a markedly enhanced capacity for discriminating and quantifying ion concentrations in comparison to any single electrode. Full article
(This article belongs to the Special Issue Chemometrics in Electroanalysis and Electrochemical Sensing)
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