Principles and Recent Advances in Electronic Nose and Electronic Tongue for Food Safety and Biomedical Applications
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Electrochemical Devices and Sensors".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 2267
Special Issue Editors
Interests: electronic nose; electronic tongue; biomedical applications; pattern recognition methods; machine learning; data acquisition; industrial automation
Interests: breath and urinary volatile organic compounds analysis for diseases monitoring; gas sensor arrays; development of electronic-nose and electronic-tongue technologies; food safety, environmental odour monitoring, and biomedical diagnosis
Special Issue Information
Dear Colleagues,
Food quality generally refers to the evaluation of foods through physical, chemical, or microbiological analysis. It is an aspect of food security that requires innovative methods to keep up with dynamic trends in the complex food chain matrix. On the other hand, it is necessary to explore different emerging technologies that can be used for disease detection and on-line monitoring. These technologies are based on detecting and analyzing chemical compounds in biological samples, such as breath, saliva, sweat, and urine.
The electronic tongue (e-tongue), the electronic nose (e-nose), near-infrared spectroscopy (NIRS), and gas chromatography–mass spectrometry (GC-MS) are advanced analytical approaches with high sensitivity that have been extensively applied in research and industry because of their advantages in rapid quantitative and qualitative food analysis. The e-tongue requires liquid or liquidized samples, but the e-nose, GC-MS, and NIRS offer noninvasive analytical advantages. The potential to measure more diverse food quality factors with these instruments is undoubtedly promising and continues to be unraveled by recent researchers. Keeping pace with developments in this scope is imperative for quality control of unprocessed, processed, and semi-processed foods from farm to fork.
The e-nose has recently been used in biomedical applications for diagnosing and monitoring diseases such as cancer, diabetes, kidney disease, and respiratory diseases. The e-tongue has also been used for the diagnosis and monitoring of diseases such as diabetes, kidney disease, and neurodegenerative diseases. These technologies have the potential to provide rapid, non-invasive, and accurate diagnoses, which could improve disease treatment and management.
This Special Issue invites original research papers and review articles that focus on the recent applications of the e-tongue, the e-nose, NIRS, and GC-MS, either as independent techniques or correlative methods with other analytical instruments and respective chemometrics for food quality and biomedical applications. This is an emerging frontier for increasing breakthroughs and solving challenges directly impacting the food industry and health sector.
Dr. Cristhian Duran
Prof. Dr. Benachir Bouchikhi
Prof. Dr. José A. Ramos
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.
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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
- electronic nose
- electronic tongue
- biomedical applications
- food industry
- pattern recognition methods
- artificial intelligence
- machine learning
- data acquisition
- Internet of Things
- industrial automation
- tin oxide-based nanosenors
