Special Issue "Electrochemical Sensors for Biometrics"

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: 31 March 2022.

Special Issue Editors

Dr. Li Fu
E-Mail Website
Guest Editor
School of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
Interests: electrochemical sensors; plant analysis; pharmaceutic analysis; chemical fingerprinting; pattern recognition
Prof. Dr. Hassan Karimi-Maleh
E-Mail Website
Guest Editor
School of Resources and Environment, University of Electronic Science & Technology, Chengdu 611731, China
Interests: electrochemical sensor; electrocatalytic systems; DNA biosensors; enzymatic biosensor; fuel cell and supercapacitors
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Electrochemical sensors have important applications in the field of electrochemistry. Electrochemical sensors can detect substances starting from ions up to large molecules. Some of these electrochemical sensors have successfully entered the market, such as blood glucose meters and uric acid meters. In recent years, electrochemical sensors have become more important in the field of detection, rather than just in targeting those specific substances, and they have also played an important role in complex biometrics.

This Special Issue invites original research papers and review articles proposing developments in electrochemical sensors for biometrics from different basic and applied research topics, including identification of biological units, plant identification, and food identification. We also welcome the novel electrochemical sensor preparation for new important targets in biological, environmental, food, and forensic samples (liquid, solid, semi-solid, or gas samples).

Dr. Li Fu
Dr. Hassan Karimi-Maleh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electrochemistry
  • biometrics
  • novel materials
  • sensor fabrication
  • nanocomposite

Published Papers (3 papers)

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Research

Communication
Biometric Identification of Taxodium spp. and Their Hybrid Progenies by Electrochemical Fingerprints
Biosensors 2021, 11(10), 403; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11100403 (registering DOI) - 18 Oct 2021
Abstract
The use of electrochemical fingerprints for plant identification is an emerging application in biosensors. In this work, Taxodium ascendens, T. distichum, T. mucronatum, and 18 of their hybrid progenies were collected for this purpose. This is the first attempt to [...] Read more.
The use of electrochemical fingerprints for plant identification is an emerging application in biosensors. In this work, Taxodium ascendens, T. distichum, T. mucronatum, and 18 of their hybrid progenies were collected for this purpose. This is the first attempt to use electrochemical fingerprinting for the identification of plant hybrid progeny. Electrochemical fingerprinting in the leaves of Taxodium spp. was recorded under two conditions. The results showed that the electrochemical fingerprints of each species and progeny possessed very suitable reproducibility. These electrochemical fingerprints represent the electrochemical behavior of electrochemically active substances in leaf tissues under specific conditions. Since these species and progenies are very closely related to each other, it is challenging to identify them directly using a particular electrochemical fingerprinting. Therefore, electrochemical fingerprints measured under different conditions were used to perform pattern recognition. We can identify different species and progenies by locating the features in different pattern maps. We also performed a phylogenetic study with data from electrochemical fingerprinting. The results proved that the electrochemical classification results and the relationship between them are closely related. Full article
(This article belongs to the Special Issue Electrochemical Sensors for Biometrics)
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Article
An Analytical Method Based on Electrochemical Sensor for the Assessment of Insect Infestation in Flour
Biosensors 2021, 11(9), 325; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090325 - 09 Sep 2021
Viewed by 424
Abstract
Uric acid is an important indicator of the insect infestation assessment in flour. In this work, we propose a method for uric acid detection based on voltammetry. This technique is particularly considered for the physicochemical properties of flour and contains a simple pretreatment [...] Read more.
Uric acid is an important indicator of the insect infestation assessment in flour. In this work, we propose a method for uric acid detection based on voltammetry. This technique is particularly considered for the physicochemical properties of flour and contains a simple pretreatment process to rapidly achieve extraction and adsorption of uric acid in flour. To achieve specific recognition of uric acid, graphene and poly(3,4-ethylenedioxythiophene) (PEDOT) were used for the adsorption and concentration of uric acid in flour. The adsorbed mixture was immobilized on the surface of a screen-printed electrode for highly sensitive detection of the uric acid. The results showed that electrocatalytic oxidation of uric acid could be achieved after adsorption by graphene and PEDOT. This electrocatalytic reaction allows its oxidation peak to be distinguished from those of other substances that commonly possess electrochemical activity. This voltammetry-based detection method is a portable and disposable analytical method. Because it is simple to operate, requires no professional training, and is inexpensive, it is a field analysis method that can be promoted. Full article
(This article belongs to the Special Issue Electrochemical Sensors for Biometrics)
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Communication
Voltammetric Electrochemical Sensor for Phylogenetic Study in Acer Linn.
Biosensors 2021, 11(9), 323; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090323 - 08 Sep 2021
Viewed by 325
Abstract
Acer Linn. is a highly divergent species morphology in the maple family (Aceraceae). It is one of the genera facing a very difficult taxonomic situation. The phylogeny of the genus and the taxonomic system under the genus remain unclear. The use of electrochemical [...] Read more.
Acer Linn. is a highly divergent species morphology in the maple family (Aceraceae). It is one of the genera facing a very difficult taxonomic situation. The phylogeny of the genus and the taxonomic system under the genus remain unclear. The use of electrochemical fingerprints for plant phylogenetic study is an emerging application in biosensors. In this work, leaves of 18 species of Acer Linn. with an exo-taxa were selected for electrochemical fingerprint recording. Two different conditions were used for improving the data abundance. The fingerprint of all species showed a series of oxidation peaks. These peaks can be ascribed to the oxidation of flavonols, phenolic acids, procyanidins, alkaloids, and pigments in plant tissue. These electrochemical fingerprints can be used for the identification of plant species. We also performed a phylogenetic study with data from electrochemical fingerprinting. The phylogenetic tree of Acer is divided into three main clades. The result is in full agreement with A. shangszeense var. anfuense, A. pictum subsp. mono, A. amplum, A. truncatum, and A. miaotaiense, belonging to the subsection Platanoidea. A. nikoense and A. griseum were clustered together in the dendrogram. Another group that fits the traditional classification results is in the subsection Integrifolia. Full article
(This article belongs to the Special Issue Electrochemical Sensors for Biometrics)
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