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Chemosensors
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Chemosensors and Biosensors for Food Quality and Safety
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Chemosensors and Biosensors for Food Quality and Safety

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Applied Chemical Sensors".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 16357

Special Issue Editors

Prof. Dr. Dario Compagnone

E-Mail Website
Guest Editor
Faculty of Bioscience and Technology for Food, Agriculture and Environment University of Teramo, Via Renato Balzarini 1, 64100 Teramo, Italy
Interests: electrochemical sensors; enzyme sensors; affinity sensing; rapid methods in food quality and safety; sample preparation; nanomaterial-based sensing; gas sensor arrays for detection of VOCs
Dr. Flavio Della Pelle

E-Mail Website
Guest Editor
Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64023 Teramo, Italy
Interests: food sensors; optical sensors; electrochemical sensors; nanomaterials; metal nanoparticles; food analytical methods; food quality and safety assessment; nanosensors; pesticides and polyphenols rapid sensing; microfluidic devices; electrochemical nanosensors realization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Monitoring of food safety and assessment of food quality is a challenging task and a relevant issue nowadays. Globalization, world trade, dislocation of raw material production, non-harmonised food legislation, require frequent and rapid control of food safety. At the same time, the attention given to food quality has increased both for producers and for consumers, because of the improved awareness of the relations between quality and health, increasing the necessity of rapid quality control from production to market. Smart solutions for the analysis of food quality and safety are then needed. In this area chemical sensors and biosensors can play a key role to provide rapid information with advantages in terms of cost, sensitivity, analysis time, amount of sample needed, reagents required and waste produced for the analysis. This Special Issue will be devoted to new chemosensing and biosensing strategies for the detection food contaminants and quality markers. New applications of existing sensors and biosensors on marketed foods as well as sensing strategies for process control will be also taken into consideration for this Special Issue. Particular emphasis will be placed on bio-sensors and bio-sensing strategies aimed to improve sustainability and usability without losing the goal to improve/retain the analytical performances. The submission of new and alternative devices/approaches using electrochemical/optical sensing, affinity/catalytic biosensors, sensor arrays in liquid or gas phase, nanomaterial/nanocomposite sensors directed to the evaluation of food quality and safety are, then, strongly encouraged.

Prof. Dr. Dario Compagnone
Dr. Flavio Della Pelle
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 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. Chemosensors 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 2700 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

  • Chemical sensors for food 
  • Biosensors for food
  • Rapid detection of food quality and safety 
  • Sensors for process control 
  • Nanomaterial based sensors 
  • Microdevices 
  • Sensor arrays

Published Papers (5 papers)

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Research

16 pages, 3695 KiB  
Article
Development and Optimization of Electrochemical Method for Determination of Vitamin C
by Ivana Škugor Rončević, Danijela Skroza, Ivana Vrca, Ana Marija Kondža and Nives Vladislavić
Chemosensors 2022, 10(7), 283; https://doi.org/10.3390/chemosensors10070283 - 15 Jul 2022
Cited by 13 | Viewed by 2194
Abstract
The focus of this work was to develop a simple electrochemical method for the determination of vitamin C (VitC) by using a specially constructed microelectrode made from pyrolytic graphite sheet (PGS). A procedure for quantifying VitC in a real sample was established. VitC [...] Read more.
The focus of this work was to develop a simple electrochemical method for the determination of vitamin C (VitC) by using a specially constructed microelectrode made from pyrolytic graphite sheet (PGS). A procedure for quantifying VitC in a real sample was established. VitC shows a single quasi-reversible reaction. The method was optimized, and analytical determination was performed by using cyclic voltammetry and square wave voltammetry for electroanalytical purposes. The obtained results show a linear response of the PGS electrode in a wide concentrations range. For the lower concentration range, 0.18–7.04 µg L−1, the sensitivity is 11.7 µAcm−2/mgL−1, while for the higher concentration range, 10.6–70.4 µg L−1, the sensitivity is 134 µAcm−2/mgL−1, preserving the linearity of 0.998 and 0.999. The second objective was to determine the effect of the addition of five different types of “green” biowaste on plant growth, VitC content, and antioxidant activity in arugula (Eruca sativa L.) using the developed method. After three weeks of cultivation, small differences in growth and large differences in certain nutritional characteristics were observed. The addition of black coffee makes the soil slightly alkaline and causes a significant increase in VitC content and antioxidant activity. Full article
(This article belongs to the Special Issue Chemosensors and Biosensors for Food Quality and Safety)
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16 pages, 2563 KiB  
Article
Detection of Monilia Contamination in Plum and Plum Juice with NIR Spectroscopy and Electronic Tongue
by Flora Vitalis, David Tjandra Nugraha, Balkis Aouadi, Juan Pablo Aguinaga Bósquez, Zsanett Bodor, John-Lewis Zinia Zaukuu, Tamás Kocsis, Viktória Zsom-Muha, Zoltan Gillay and Zoltan Kovacs
Chemosensors 2021, 9(12), 355; https://doi.org/10.3390/chemosensors9120355 - 11 Dec 2021
Cited by 8 | Viewed by 2941
Abstract
Plums are one of the commercially important stone fruits that are available on the market in both fresh and processed form and the most sought-after products are prunes, cans, jams, and juices. Maturity, harvest, and post-harvest technologies fundamentally determine the relatively short shelf [...] Read more.
Plums are one of the commercially important stone fruits that are available on the market in both fresh and processed form and the most sought-after products are prunes, cans, jams, and juices. Maturity, harvest, and post-harvest technologies fundamentally determine the relatively short shelf life of plums which is often threatened by Monilinia spp. Causing brown rot worldwide. The aim of the present research was to use advanced analytical techniques, such as hand-held near infrared spectroscopy (NIRS) and electronic tongue (e-tongue) to detect M. fructigena fungal infection on plums and quantify this fungal contamination in raw plum juices. For this purpose, plums were inoculated with fungal mycelia in different ways (control, intact, and through injury) and stored under different conditions (5 °C, and 24 °C) for eight days. The results obtained with the two instruments were analyzed with chemometric methods, such as linear discriminant analysis (LDA) and partial least squares regression (PLSR). The NIRS-based method proved successful when detectability before the appearance of visible signs of the infection was studied. E-tongue was able to detect and quantify the concentration of juice derived from plum developed with M. fructigena with RMSECV lower than 5% w/w. Overall, the two methods proved to be suitable for discriminating between the treatment groups, however, the classification accuracy was higher for samples stored at 24 °C. The research results show both NIRS and e-tongue are beneficial methods to reduce food waste by providing rapid determination of fruit quality. Full article
(This article belongs to the Special Issue Chemosensors and Biosensors for Food Quality and Safety)
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14 pages, 2882 KiB  
Article
Opto-Electronic Nose Coupled to a Silicon Micro Pre-Concentrator Device for Selective Sensing of Flavored Waters
by Sami Slimani, Etienne Bultel, Thomas Cubizolle, Cyril Herrier, Tristan Rousselle and Thierry Livache
Chemosensors 2020, 8(3), 60; https://doi.org/10.3390/chemosensors8030060 - 31 Jul 2020
Cited by 25 | Viewed by 3477
Abstract
Headspace analysis of highly humid samples remains a challenge for artificial olfaction. Based on surface plasmon resonance imaging and bio-based sensors, the NeOse Pro olfactive analyzer yields multivariate data and enhances the statistical discrimination capacity of odor patterns. However, the presence of a [...] Read more.
Headspace analysis of highly humid samples remains a challenge for artificial olfaction. Based on surface plasmon resonance imaging and bio-based sensors, the NeOse Pro olfactive analyzer yields multivariate data and enhances the statistical discrimination capacity of odor patterns. However, the presence of a high background signal, such as water vapor from aqueous samples, may deteriorate its discriminant ability. Recently, miniaturized pre-concentrators packed with hydrophobic adsorbent have been developed to improve the detection limit of gas analysis methods and to enhance their selectivity by reducing the water’s background signal. This work presents, for the first time, the coupling of a miniaturized silicon micro pre-concentration unit (µPC) to a bio-based opto-electronic nose (NeOse Pro). The results showed that the coupling of a silicon µPC with the NeOse Pro led to an improvement in the detection limit of n-nonane by at least a factor of 125. Additionally, principal component analysis (PCA) of eight different flavored waters showed an enhanced discrimination ability of the coupled set-up in highly humid conditions. Full article
(This article belongs to the Special Issue Chemosensors and Biosensors for Food Quality and Safety)
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10 pages, 1429 KiB  
Article
An Electronic Nose Technology to Quantify Pyrethroid Pesticide Contamination in Tea
by Xiaoyan Tang, Wenmin Xiao, Tao Shang, Shanyan Zhang, Xiaoyang Han, Yuliang Wang and Haiwei Sun
Chemosensors 2020, 8(2), 30; https://doi.org/10.3390/chemosensors8020030 - 23 Apr 2020
Cited by 23 | Viewed by 3110
Abstract
The contamination of tea with toxic pesticides is a major concern. Additionally, because of improved detection methods, importers are increasingly rejecting contaminated teas. Here, we describe an electronic nose technique for the rapid detection of pyrethroid pesticides (cyhalothrin, bifenthrin, and fenpropathrin) in tea. [...] Read more.
The contamination of tea with toxic pesticides is a major concern. Additionally, because of improved detection methods, importers are increasingly rejecting contaminated teas. Here, we describe an electronic nose technique for the rapid detection of pyrethroid pesticides (cyhalothrin, bifenthrin, and fenpropathrin) in tea. Using a PEN 3 electronic nose, the text screened a group of metal oxide sensors and determined that four of them (W5S, W1S, W1W, and W2W) are suitable for the detection of the same pyrethroid pesticide in different concentrations and five of them (W5S, W1S, W1W, W2W, and W2S) are suitable for the detection of pyrethroid pesticide. The models for the determination of cyhalothrin, bifenthrin, and fenpropathrin are established by PLS method. Next, using back propagation (BP) neural network technology, we developed a three-hidden-layer model and a two-hidden-layer model to differentiate among the three pesticides. The accuracy of the three models is 96%, 92%, and 88%, respectively. The recognition accuracies of the three-hidden-layer BP neural network pattern and two-hidden-layer BP neural network pattern are 98.75% and 97.08%, respectively. Our electronic nose system accurately detected and quantified pyrethroid pesticides in tea leaves. We propose that this tool is now ready for practical application in the tea industry. Full article
(This article belongs to the Special Issue Chemosensors and Biosensors for Food Quality and Safety)
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13 pages, 3435 KiB  
Article
Electrochemical Glucose Quantification as a Strategy for Ethanolic Fermentation Monitoring
by Isabel Acevedo-Restrepo, Lucas Blandón-Naranjo, Jorge Hoyos-Arbeláez, Flavio Della Pelle and Mario V. Vázquez
Chemosensors 2019, 7(1), 14; https://doi.org/10.3390/chemosensors7010014 - 15 Mar 2019
Cited by 10 | Viewed by 3592
Abstract
The possibility of using an electrochemical biosensor, using screen-printed electrodes modified with a carbonaceous material and a commercial kit for the determination of glucose, to monitor an ethanolic fermentation was analyzed. The determination is based on the electrochemical oxidation reaction of NADH that [...] Read more.
The possibility of using an electrochemical biosensor, using screen-printed electrodes modified with a carbonaceous material and a commercial kit for the determination of glucose, to monitor an ethanolic fermentation was analyzed. The determination is based on the electrochemical oxidation reaction of NADH that occurs at a potential where the components of the kit do not generate a current signal, even in the presence of the fermentation medium. The electrochemical system was used to analyze the variation of glucose concentration during a laboratory-scale fermentation. The results were contrasted with the variation of standard characterization parameters such as pH, total soluble solids (TSS), the viability of the yeast, and concentration of ethanol produced. Of these values, the total soluble solids should be related to the concentration of glucose obtained by the electrochemical sensor, however, this last measure is more specific for sugar since the TSS refers to all soluble solids. The obtained results allow us to verify the usefulness of the electrochemical method for real-time monitoring of a fermentation. Full article
(This article belongs to the Special Issue Chemosensors and Biosensors for Food Quality and Safety)
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