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Electrochemical Sensors in the Food Industry: 2nd Edition
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Electrochemical Sensors in the Food Industry: 2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 2016

Special Issue Editors

Dr. Ksenia Morozova

E-Mail Website
Guest Editor
Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, 39100 Bozen-Bolzano, Italy
Interests: food antioxidants; electrochemical sensors; electronic tongues; electronic noses
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Matteo Mario Scampicchio

E-Mail Website
Guest Editor
Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, 39100 Bozen-Bolzano, Italy
Interests: food antioxidants; electrochemical sensors; electronic tongues; electronic noses
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The need to develop high-throughput systems for food analysis is driving interest in electrochemical sensors based on voltammetry, amperometry, and coulometry. Their main advantages over conventional techniques are their sensitivity, rapidity, simplicity, and capacity to directly measure the number of electrons transferred by a substance. In addition, electronic nose and electronic tongue are particularly suitable for carrying out rapid and objective sensory measurements, which are important in food production. These are common electrochemical sensor systems that respond to flavor or odor (volatiles) or taste (solubles) using an array of simple and non-specific sensors and a pattern recognition software system. Contrary to traditional analytical methods, the response of electrochemical sensors can be used as a digital fingerprint for typical food products.

This Special Issue focuses on the current advancement in electrochemical sensors for application in food quality, safety, and authenticity. We look forward to receiving your contributions.

Dr. Ksenia Morozova
Prof. Dr. Matteo Mario Scampicchio
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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
  • electronic tongue
  • electronic nose
  • food sensor
  • food analysis
  • food control
  • food safety
  • sensory analysis
  • food quality
  • food authenticity
  • flow injection analysis
  • amperometry
  • voltammetry
  • potentiometry
  • coulometry
  • biosensors

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Related Special Issue

Published Papers (2 papers)

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Research

16 pages, 2189 KB  
Article
A Molecularly Imprinted Polymer Electrochemiluminescence Sensor Based on AuNPs@Ru-ZIF-8 for the Rapid Detection of Cyhalothrin Residues in Lycium barbarum L.
by Kaili Liu, Chengqiang Li, Yuchen Cai, Jiashuai Sun, Nortoji A. Khujamshukurov, Peisen Li, Yemin Guo and Xia Sun
Sensors 2026, 26(4), 1178; https://doi.org/10.3390/s26041178 - 11 Feb 2026
Viewed by 667
Abstract
Lycium barbarum L. is a widely used medicinal and edible Chinese medicinal material. However, with consumers’ heightened concern for health and food safety, pesticide residues have become one of the major challenges affecting its quality and safety. Cyhalothrin is a pyrethroid insecticide and [...] Read more.
Lycium barbarum L. is a widely used medicinal and edible Chinese medicinal material. However, with consumers’ heightened concern for health and food safety, pesticide residues have become one of the major challenges affecting its quality and safety. Cyhalothrin is a pyrethroid insecticide and a typical type of pesticide with excessive pesticide residues in Lycium barbarum L. Rapid detection of pesticide residues is an effective way to ensure the quality and safety of traditional Chinese medicinal materials. In this work, a molecularly imprinted polymer electrochemiluminescence (ECL) sensor based on gold nanoparticles (AuNPs)@Ru-ZIF-8 was constructed for rapid detection of cyhalothrin residues. The prepared cyhalothrin molecularly imprinted polymers (MIPs) were used as a recognition element and modified on the surface of a glassy carbon electrode (GCE) by an electrochemical polymerization method. AuNPs were utilized to promote the excitation of Ru(bpy)32+ and TPrA in the ECL system, which improved the observability of the light signal. The GCE modified with the metal–organic frameworks (MOFs) ZIF-8 was employed to increase the specific surface area and enhance the electron transfer capacity on the electrode, thereby improving the sensing sensitivity of the sensor. In addition, the luminescent reagent of Ru(bpy)32+ was introduced into the synthesis process of ZIF-8, which caused Ru(bpy)32+ to be tightly bound around it and enhanced the stability of the sensor. Under optimal conditions, the linear detection range of the sensor is 1 × 10−1~1 × 104 nM, with a limit of detection (LOD) of 10 pM. The accuracy of the ECL-MIP sensor has been verified through spiked recovery experiments and actual sample detection. This study has opened up a new approach to rapid detection of pesticide residues in traditional Chinese medicinal materials used for both food and medicine. Full article
(This article belongs to the Special Issue Electrochemical Sensors in the Food Industry: 2nd Edition)
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28 pages, 4873 KB  
Article
MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO)
by Elisabetta Poeta, Estefanía Núñez-Carmona, Veronica Sberveglieri, Alejandro Bernal, Jesús Lozano and Ramiro Sánchez
Sensors 2026, 26(1), 275; https://doi.org/10.3390/s26010275 - 1 Jan 2026
Cited by 3 | Viewed by 1066
Abstract
Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict [...] Read more.
Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict quality controls, must comply with specific production regulations, and generally have a higher market price. These characteristics make them particularly vulnerable to economically motivated adulteration. In this study, the adulteration of PDO EVOO with Olive Pomace Oil (POO) and Olive Oil (OO) was investigated through a combined analytical approach. A traditional technique, gas chromatography–mass spectrometry (GC-MS) combined with solid-phase microextraction (SPME), was employed alongside an innovative method based on an electronic nose equipped with metal oxide semiconductor (MOX) sensors. GC-MS analysis enabled the identification of characteristic volatile compounds, providing a detailed chemical fingerprint of the different oil samples. Concurrently, the MOX sensor array successfully detected variations in the volatile profiles released by the adulterated oils, demonstrating its potential as a rapid and cost-effective screening tool. The complementary use of both techniques highlighted the reliability of MOX sensors in differentiating authentic PDO EVOO from adulterated samples and underscored their applicability in routine quality control and fraud prevention strategies. Full article
(This article belongs to the Special Issue Electrochemical Sensors in the Food Industry: 2nd Edition)
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