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Chemosensors
Special Issues
Electronic Nose and Electronic Tongue for Substance Analysis
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Electronic Nose and Electronic Tongue for Substance Analysis

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

Deadline for manuscript submissions: 15 August 2025 | Viewed by 11480

Special Issue Editor

Dr. Pengfei Jia

E-Mail Website
Guest Editor
School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: electronic nose; pattern recognition; intelligence sensor
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electronic noses and electronic tongues are intelligent analysis systems that imitate human smell and taste. In recent years, the application of these instruments has gained increasing attention as they offer significant benefits regarding the analysis of complex chemical substances with simple signal outputs. The relatively low cost and rapid operation of electronic noses and tongues have made them greatly attractive to researchers in the medical, environmental monitoring, agriculture, and food and beverages fields.

Sensor arrays for electronic noses and electronic tongues, which are capable of responding to various substances, are of great importance in these two analysis systems. This Special Issue of chemosensors concentrates on the state of the art and development trends in sensors and the application of electronic noses and electronic tongues. Our focus is on novel sensors, sensing materials, and data processing strategies able to address the hurdles that remain regarding the future application of electronic noses and tongues in a more complex environment.

Authors are invited to submit original research, technical reports, short communications, and reviews to this Special Issue.

Dr. Pengfei Jia
Guest Editor

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 2000 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

  • electronic nose
  • electronic tongue
  • chemical sensors
  • sensing materials
  • machine learning

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Published Papers (3 papers)

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Research

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16 pages, 5091 KiB  
Article
Novel Sequential Detection of NO2 and C2H5OH in SnO2 MEMS Arrays for Enhanced Selectivity in E-Nose Applications
by Mahaboobbatcha Aleem, Yilu Zhou, Swati Deswal, Bongmook Lee and Veena Misra
Chemosensors 2024, 12(12), 268; https://doi.org/10.3390/chemosensors12120268 - 19 Dec 2024
Viewed by 4678
Abstract
This study explores the surface chemistry and electrical responses of ultra-high-sensitivity SnO2 MEMS arrays to enable a novel sequential detection methodology for detecting nitrogen dioxide (NO2) and ethanol (C2H5OH) as a route to achieve selective gas [...] Read more.
This study explores the surface chemistry and electrical responses of ultra-high-sensitivity SnO2 MEMS arrays to enable a novel sequential detection methodology for detecting nitrogen dioxide (NO2) and ethanol (C2H5OH) as a route to achieve selective gas sensing in electronic nose (E-nose) applications. Utilizing tin oxide (SnO2) thin films deposited via atomic layer deposition (ALD), the array achieves the lowest reported detection limits of 8 parts per billion (ppb) for NO2. The research delves into the detection mechanisms of NO2 and C2H5OH, both individually and in subsequent exposures, assessing the sensor’s dynamic response across various operating temperatures. It demonstrates rapid response and recovery times, with averages of 48 s and 277 s for NO2 and 40 and 48 for C2H5OH. Understanding the role of individual gases on the SnO2 surface chemistry is paramount in discerning subsequent gas exposure behavior. The oxidizing behavior of C2H5OH following NO2 exposure is attributed to interactions between NO2 and oxygen vacancies on the SnO2 surface, which leads to the formation of nitrate or nitrite species. These species subsequently influence interactions with C2H5OH, inducing oxidizing properties, and need to be carefully considered. Principal component analysis (PCA) was used to further improve the sensor’s capability to precisely identify and quantify gas mixtures, improving its applicability for real-time monitoring in complex scenarios. Full article
(This article belongs to the Special Issue Electronic Nose and Electronic Tongue for Substance Analysis)
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9 pages, 2559 KiB  
Communication
Impact of Coffee Roasting and Grind Size on Acidity and Bitterness: Sensory Evaluation Using Electronic Tongue
by Masaaki Habara and Toshihide Horiguchi
Chemosensors 2024, 12(9), 196; https://doi.org/10.3390/chemosensors12090196 - 23 Sep 2024
Cited by 1 | Viewed by 2535
Abstract
Coffee flavor is profoundly influenced by numerous factors, including the origin’s terroir and variety, as well as post-harvest processing, drying, and sorting. Even specialty coffee beans, carefully selected for their high quality, can exhibit a wide range of flavor profiles depending on how [...] Read more.
Coffee flavor is profoundly influenced by numerous factors, including the origin’s terroir and variety, as well as post-harvest processing, drying, and sorting. Even specialty coffee beans, carefully selected for their high quality, can exhibit a wide range of flavor profiles depending on how they are roasted and ground. Traditionally, the coffee industry has used the Brewing Control Chart, which considers total dissolved solids (TDS) and extraction (E), to guide professionals toward achieving consistent flavors. However, this chart has limitations in representing the complex chemical composition and its influence on the sensory attributes of coffee. This study explores a more comprehensive approach to evaluating coffee quality by utilizing a taste sensing system (electronic tongue) to measure acidity and bitterness for full-immersion brewing. We investigate the impact of brew ratio and grind size on these taste attributes, while also considering the influence of roast level. Our findings demonstrate that finer grind sizes significantly affect TDS and E, while roast level and grind size significantly affect sensory attributes, as measured by the taste sensing system. This approach complements the traditional Brewing Control Chart by providing a more nuanced understanding of how roast level and grind size influence coffee flavor. Full article
(This article belongs to the Special Issue Electronic Nose and Electronic Tongue for Substance Analysis)
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Review

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23 pages, 2325 KiB  
Review
Research Progress of Electronic Nose and Near-Infrared Spectroscopy in Meat Adulteration Detection
by Xu Sun, Songlin Wang and Wenshen Jia
Chemosensors 2024, 12(3), 35; https://doi.org/10.3390/chemosensors12030035 - 27 Feb 2024
Cited by 2 | Viewed by 2663
Abstract
China is a large consumer of meat and meat products. People’s daily diets include a variety of meat, but meat food adulteration problems are common. This paper discusses the research progress of the electronic nose and near-infrared spectroscopy in the field of meat [...] Read more.
China is a large consumer of meat and meat products. People’s daily diets include a variety of meat, but meat food adulteration problems are common. This paper discusses the research progress of the electronic nose and near-infrared spectroscopy in the field of meat adulteration detection. Through the study of dozens of related papers in recent years, it has been found that the use of the electronic nose and near-infrared spectroscopy for meat detection has the advantages of speed, a nondestructive nature, high sensitivity, strong quantitative analysis, high automation, a wide applicability, an improved product quality, and cost reduction over the traditional detection, but it may be limited in detecting the adulteration of a specific meat, and there are issues with the life and stability of the sensors of the electronic nose in the process of detection, along with the problems of the high requirements for the modeling of the data of near-infrared spectroscopy. This paper takes adulterated meat as the research object and briefly summarizes the detection principles of the electronic nose and near-infrared spectroscopy, as well as the types of sensors applied in the electronic nose. The research progress of the electronic nose and near-infrared detection technology in meat adulteration assessment is reviewed, the advantages and disadvantages of the two in practical application are analyzed, the classification of pattern recognition methods and their applications in meat identification are described, and the feasibility and practical significance of the joint application of the two in meat adulteration detection are envisioned. Meanwhile, the challenges faced by the two in meat detection are pointed out. Full article
(This article belongs to the Special Issue Electronic Nose and Electronic Tongue for Substance Analysis)
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