Special Issue "Recent Advancements in Olfaction and Electronic Nose"
Deadline for manuscript submissions: 25 November 2023 | Viewed by 8516
Interests: colorimetric sensor; fluorometric sensor; electrochemical sensor; electronic nose
Special Issues, Collections and Topics in MDPI journals
Interests: artificial gustatory and olfactory system in the food quality detection and smart agriculture
Special Issues, Collections and Topics in MDPI journals
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The electronic nose (e-nose), which was proposed by Dodd and Persaud at Warwick University in 1982, is an array of gas sensors associated with a pattern-recognition framework that identifies and classifies odorant and non-odorant chemicals. The sensor array is the most important part of the e-nose, and the types of sensors include oxide semiconductors (MOSs), electrochemical (EC) sensors, field-effect transistors (FETs), conducting polymers (CPs), quartz crystal microbalances (QCMs), solid-state electrochemical sensors (SSESs), surface acoustic wave (SAW) sensors, optical sensors, biosensors, etc. In the past several decades, e-nose systems based on those sensors were proven to be promising tools in many fields, such as the standardization and visualization of smell, the diagnosis of diseases, the quality assessment of foods and beverages, the monitoring of environmental pollutants, process monitoring, the detection of explosives/toxicants/drugs, and scent-related industries including perfume/cosmetics/wine/coffee. However, there are still many challenges in various essential aspects, such as environmental influence, sensor sensitivity, feature extraction, drift noise, reliability and repeatability, time consumption, identification models, in-site detection, etc.
The aim of the present Special Issue is to report recent advances in electronic nose for addressing these challenges, including progress in sensor materials development, achievements in intelligent signal processing algorithms and methods, novel measurement techniques, practical applications, etc.
This Special Issue on “Recent Advancements in Olfaction and Electronic Nose” will include but is not limited to the following topics:
- Fabrication of new-style gas sensors;
- Development of new-style electronic nose systems;
- Signal normalization, standardization, optimization, and baseline correction;
- Chemometric approaches in feature extraction and data fusion;
- Pattern recognition methods for classification and prediction.
Prof. Dr. Jun Wang
Dr. Zhenbo Wei
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. 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.
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: A pattern recognition method on PC for rotten detection of lemon fruits
Authors: Ruiz-Canales, A; Martínez Muñoz, G.; Conesa Celdrán, A.; Cánovas Flores, I.; Martín, D.; Oates, M.
Affiliation: 1Engineering Department, Miguel Hernández University of Elche, 03312 Orihuela, Spain 2Technological Institute of Food and Agriculture CICYTEX-INTAEX. Junta of Extremadura, Badajoz, Spain.
Abstract: The electronic nose is a device that allows identifying compounds and classifying samples by their smell. This device has a fundamental role, since it is an improvement to other sensory methods or to gas chromatography. This study was carried out with a low-cost electronic nose prototype based on in eight MQ metal oxide sensors in order to characterize samples of lemons treated with sodium benzoate at different concentrations (0.5% and 0.1% sodium benzoate concentration). The MQ sensors are designed so that each of the sensors is sensitive to one or more chemicals, such as alcohol which is the MQ3 sensor, and to detect the presence of a variety of chemicals in the air. In turn, there are more MQ, but for the experiment carried out with lemons, the parameter that we have taken into account the most is MQ135, which is the one that detects the following gases: ammonia, hydrogen sulphide and benzene. Signal data were studied to obtain a pattern recognition of rotten in lemon fruits. Network analysis were used obtain a calibration of measures among the stage of lemons. A PC application running on an Android was developed to calibrate the pattern recognition.
Title: Environmental applications of electronic nose systems based on MOX gas sensors
Authors: Ali khorramifar 1; Hamed Karami 2*; Larisa Lvova 3*; Alireza Kolouri 1; Ewa Łazuka 4; Grzegorz Łagód 5; Jesús Lozano 6; Mohammad Kaveh 2; Yousef Darvishi 7
Affiliation: 1 Department of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil 56199, Iran; email@example.com (A.Kh), Alirezakolouri@uma.ac.ir (A.K) 2 Department of Petroleum Engineering, Knowledge University, Erbil 44001, Iraq, firstname.lastname@example.org (H.K.); email@example.com (M.K). 3 Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; firstname.lastname@example.org (L.L). 4 Faculty of Technology Fundamentals, Lublin University of Technology, Lublin, Poland; email@example.com (E. Ł). 5 Faculty of Environmental Engineering, Lublin University of Technology, Lublin, Poland firstname.lastname@example.org (G.Ł). 6 Department of Electric Technology, Electronics and Automation, University of Extremadura, Avda. de Elvas S/n, 06006 Badajoz, Spain, email@example.com (J.L). 7 Department of Biosystems Engineering, University of Tehran, Tehran P.O. Box 113654117, Iran; firstname.lastname@example.org (Y.D).
Abstract: Nowadays, the electronic nose (e-nose) has gained a huge attention due to its ability to detect and differentiate mixtures of various gases and odors using a limited number of sensors. Its applications in the environmental fields include analysis of the parameters for environmental control, process control, and confirming the efficiency of the odor-control systems. E-nose has been developed by mimicking the olfactory system of mammals. This paper investigates e-noses and their sensors for the detection of environmental contaminants. Among different types of gas chemical sensors, metal oxide semiconductor sensors, (MOXs), can be used for the detection of volatile compounds in air at ppm and sub-ppm levels. In this regard, the advantages and disadvantages of MOX sensors and the solutions to solve the problems arising upon these sensors applications are addressed, and the research works in the field of environmental contamination monitoring are overviewed. These studies have revealed the suitability of e-noses for most of the reported applications, especially when the tools were specifically developed for that application e.g. in facility of water and wastewater management systems. As a general rule, the literature review discusses the aspects related to various applications as well as the development of effective solutions. However, the main limitation in the expansion of the use of e-noses as an environmental monitoring tool is their complexity and lack of specific standards, which can, anyway be corrected through appropriate data processing methods applications.
Title: Adaptive peptide molecule as the promising highly-efficient gas-sensor material: in silico study
Authors: Alexander A. Petrunin; Maxim K. Rabchinskii; Victor V. Sysoev; Olga E. Glukhova
Affiliation: Institute of Physics, Saratov State University, Astrakhanskaya Street 83, 410012 Saratov, Russia; Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., 410054 Saratov, Russia
Abstract: Gas sensors are currently employed in various applications, as medicine, ecology, food industry, and serve as monitoring tools to care about safety, healthy and life quality of humans. Herein, we discuss a promising direction in the R&D of gas sensors based on peptides - biomolecules with high selectivity and sensitivity to various gases. Thanks to the technique developed in this work in framework of tight-binding density functional theory (DFTB), the most probable adsorption centers were identified to describe the interaction of some analyte molecules with peptides. The DFTB method revealed that the binding energy characterizing the physical adsorption of acetone, ammonium, benzene, ethanol, hexane, methanol, toluene, and trinitrotoluene is in the range from –0.28 eV to –1.46 eV. It has been found that peptides may adapt to the analyte approaching via changing their volume, by a maximum value of approx. 13 %, in order to confine electron clouds around the adsorbed molecule. Based on the results obtained, the prospects for using the proposed peptide configurations in gas sensor devices are predicted.