Electronic Nose and Its Applications

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A:Physics".

Deadline for manuscript submissions: closed (5 December 2022) | Viewed by 3416

Special Issue Editor


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Guest Editor
Food Engineering Department, Universidade Regional Integrada do Alto Uruguai e das Missões (URI Erechim), Erechim RS 99709-910, Brazil
Interests: polymers material characterization; nanomaterials materials; thin films and nanotechnology; nanomaterials synthesis; thin film deposition; nanostructured materials; nanoparticle synthesis; SEM analysis
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Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Electronic Nose and Its Applications”, presents state-of-the-art updates in gas nanosensor and nanobiosensor technology and provides a critical evaluation of recent advances and applications in water, food, and other beverages. The use of nanomaterial-based nanosensors, nanomaterial-based bioassay approaches, and nanomaterials to develop gas sensor arrays is also discussed. Authors should emphasize issues related to the methodologies that incorporate nanomaterials as well as challenges and opportunities and should also demonstrate applications in different matrices in both real conditions and in the field. Accordingly, this Special Issue seeks to showcase research papers, short communications, and review articles that focus on novel methodological developments in gas nanosensor and nanobiosensor arrays for electronic nose for the comprehensive evaluation of foods and beverages.

Prof. Dr. Clarice Steffens
Guest Editor

Manuscript Submission Information

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Keywords

  • design
  • fabrication
  • application
  • nanomaterials
  • sensor array

Published Papers (1 paper)

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Research

25 pages, 7884 KiB  
Article
An AI-powered Electronic Nose System with Fingerprint Extraction for Aroma Recognition of Coffee Beans
by Chung-Hong Lee, I-Te Chen, Hsin-Chang Yang and Yenming J. Chen
Micromachines 2022, 13(8), 1313; https://doi.org/10.3390/mi13081313 - 13 Aug 2022
Cited by 6 | Viewed by 3049
Abstract
Aroma and taste have long been considered important indicators of quality coffee. Specialty coffee, that is, coffee from a single estate, farm, or village in a coffee-growing region, in particular, has a unique aroma that reflects the coffee-producing region. In order to enable [...] Read more.
Aroma and taste have long been considered important indicators of quality coffee. Specialty coffee, that is, coffee from a single estate, farm, or village in a coffee-growing region, in particular, has a unique aroma that reflects the coffee-producing region. In order to enable the traceability of coffee origin, in this study we have developed an e-nose system to discriminate the aroma of freshly roasted coffee in different production regions. In the case study, we employed the e-nose system to experiment with various machine learning models for recognizing several collected coffee beans such as coffees from Yirgacheffe and Kona. Additionally, our contribution also includes the development of a method to create an aromatic digital fingerprint of a specific coffee bean to identify its origin. The experimental results show that the developed e-nose system achieves good recognition performance for coffee aroma recognition. The extracted digital fingerprints have great potential to be stored in an extensible coffee aroma database similar to a comprehensive library of specific coffee bean aroma characteristics, for traceability and reconfirmation of their origin. Full article
(This article belongs to the Special Issue Electronic Nose and Its Applications)
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