Electronic Tongues

A special issue of Micromachines (ISSN 2072-666X).

Deadline for manuscript submissions: closed (31 October 2018)

Special Issue Editor


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Guest Editor
Sensors & Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, Campus de Bellaterra (Cerdanyola del Vallés), 08193 Barcelona, Spain
Interests: automation in analytical chemistry; bioinspired analytical systems; FIA systems; SIA systems; chemical sensors; biosensors; genosensors; aptamer sensors; Electrochemical Impedance Spectroscopy; multisensor systems; electronic tongues
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Special Issue Information

Dear Colleagues,

Electronic tongues represent a new operational procedure in the sensor field that entails the use of chemical sensor arrays coupled with chemometric processing tools, as a mean to improve sensors performance. This approach is in tune with modern use of intelligent data processing as the way to improve automatic and or robotic operation. The coupling of information provided by different potentiometric, voltammetric, colorimetric or fluorescence sensors, and even biosensors, is an opportunity to develop sensing systems providing means for identification and/or classification of samples or situations; alternatively, when considering concentration values, the multidimensional information can be exploited to determine sought analytes in presence of interferences, or to resolve mixtures of related substances, with accomplishment equivalent to the use of chromatographic systems. Hybrid systems can also be devised, probably needing considerations on data fusion if very different types of sensors are used. The most singular applications being developed pertain to the food and beverage field, the environmental or agricultural field and the pharmaceutical field; it is also worth mentioning the attempts to mimic the animal or human taste perceptions, with systems known as artificial taste systems.

Dr. Manel Del Valle
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. Micromachines 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 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

  • chemical sensors
  • potentiometry
  • voltammetry
  • biosensors
  • electronic tongues
  • artificial taste
  • artificial sensory panel
  • multivariate statistics
  • neural networks
  • pattern recognition
  • data fusion
  • bioinspired data processing

Published Papers (1 paper)

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33 pages, 11253 KiB  
Review
Sensors that Learn: The Evolution from Taste Fingerprints to Patterns of Early Disease Detection
by Nicolaos Christodoulides, Michael P. McRae, Glennon W. Simmons, Sayli S. Modak and John T. McDevitt
Micromachines 2019, 10(4), 251; https://doi.org/10.3390/mi10040251 - 16 Apr 2019
Cited by 11 | Viewed by 4486
Abstract
The McDevitt group has sustained efforts to develop a programmable sensing platform that offers advanced, multiplexed/multiclass chem-/bio-detection capabilities. This scalable chip-based platform has been optimized to service real-world biological specimens and validated for analytical performance. Fashioned as a sensor that learns, the platform [...] Read more.
The McDevitt group has sustained efforts to develop a programmable sensing platform that offers advanced, multiplexed/multiclass chem-/bio-detection capabilities. This scalable chip-based platform has been optimized to service real-world biological specimens and validated for analytical performance. Fashioned as a sensor that learns, the platform can host new content for the application at hand. Identification of biomarker-based fingerprints from complex mixtures has a direct linkage to e-nose and e-tongue research. Recently, we have moved to the point of big data acquisition alongside the linkage to machine learning and artificial intelligence. Here, exciting opportunities are afforded by multiparameter sensing that mimics the sense of taste, overcoming the limitations of salty, sweet, sour, bitter, and glutamate sensing and moving into fingerprints of health and wellness. This article summarizes developments related to the electronic taste chip system evolving into a platform that digitizes biology and affords clinical decision support tools. A dynamic body of literature and key review articles that have contributed to the shaping of these activities are also highlighted. This fully integrated sensor promises more rapid transition of biomarker panels into wide-spread clinical practice yielding valuable new insights into health diagnostics, benefiting early disease detection. Full article
(This article belongs to the Special Issue Electronic Tongues)
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