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Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection

Over the last twenty years, newly developed chemical sensor systems (so-called “electronic noses”) have odour analyses made possible. This paper describes the applications of these systems for microbial detection in different fields such as medicine and the food industry, where fast detection method...

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Detalles Bibliográficos
Autores principales: Casalinuovo, Ida A., Di Pierro, Donato, Coletta, Massimiliano, Di Francesco, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909407/
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author Casalinuovo, Ida A.
Di Pierro, Donato
Coletta, Massimiliano
Di Francesco, Paolo
author_facet Casalinuovo, Ida A.
Di Pierro, Donato
Coletta, Massimiliano
Di Francesco, Paolo
author_sort Casalinuovo, Ida A.
collection PubMed
description Over the last twenty years, newly developed chemical sensor systems (so-called “electronic noses”) have odour analyses made possible. This paper describes the applications of these systems for microbial detection in different fields such as medicine and the food industry, where fast detection methods are essential for appropriate management of health care. Several groups have employed different electronic noses for classification and quantification of bacteria and fungi to obtain accurate medical diagnosis and food quality control. So far, detection and identification of bacterial and fungal volatiles have been achieved by use of e-noses offering different correct classification percentages. The present review includes examples of bacterial and fungal species producing volatile compounds and correlated to infectious diseases or food deterioration. The results suggest the possibility of using this new technology both in medical diagnostics and in food control management.
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spelling pubmed-39094072014-02-03 Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection Casalinuovo, Ida A. Di Pierro, Donato Coletta, Massimiliano Di Francesco, Paolo Sensors (Basel) Review Over the last twenty years, newly developed chemical sensor systems (so-called “electronic noses”) have odour analyses made possible. This paper describes the applications of these systems for microbial detection in different fields such as medicine and the food industry, where fast detection methods are essential for appropriate management of health care. Several groups have employed different electronic noses for classification and quantification of bacteria and fungi to obtain accurate medical diagnosis and food quality control. So far, detection and identification of bacterial and fungal volatiles have been achieved by use of e-noses offering different correct classification percentages. The present review includes examples of bacterial and fungal species producing volatile compounds and correlated to infectious diseases or food deterioration. The results suggest the possibility of using this new technology both in medical diagnostics and in food control management. Molecular Diversity Preservation International (MDPI) 2006-11-01 /pmc/articles/PMC3909407/ Text en © 2006 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
spellingShingle Review
Casalinuovo, Ida A.
Di Pierro, Donato
Coletta, Massimiliano
Di Francesco, Paolo
Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title_full Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title_fullStr Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title_full_unstemmed Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title_short Application of Electronic Noses for Disease Diagnosis and Food Spoilage Detection
title_sort application of electronic noses for disease diagnosis and food spoilage detection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909407/
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