Cargando…

Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)

Over the last twenty years, newly developed chemical sensor systems (so called “electronic noses”) have made odor analyses possible. These systems involve various types of electronic chemical gas sensors with partial specificity, as well as suitable statistical methods enabling the recognition of co...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghasemi-Varnamkhasti, Mahdi, Mohtasebi, Seyed Saeid, Siadat, Maryam, Balasubramanian, Sundar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312430/
https://www.ncbi.nlm.nih.gov/pubmed/22454572
http://dx.doi.org/10.3390/s90806058
_version_ 1782227857330667520
author Ghasemi-Varnamkhasti, Mahdi
Mohtasebi, Seyed Saeid
Siadat, Maryam
Balasubramanian, Sundar
author_facet Ghasemi-Varnamkhasti, Mahdi
Mohtasebi, Seyed Saeid
Siadat, Maryam
Balasubramanian, Sundar
author_sort Ghasemi-Varnamkhasti, Mahdi
collection PubMed
description Over the last twenty years, newly developed chemical sensor systems (so called “electronic noses”) have made odor analyses possible. These systems involve various types of electronic chemical gas sensors with partial specificity, as well as suitable statistical methods enabling the recognition of complex odors. As commercial instruments have become available, a substantial increase in research into the application of electronic noses in the evaluation of volatile compounds in food, cosmetic and other items of everyday life is observed. At present, the commercial gas sensor technologies comprise metal oxide semiconductors, metal oxide semiconductor field effect transistors, organic conducting polymers, and piezoelectric crystal sensors. Further sensors based on fibreoptic, electrochemical and bi-metal principles are still in the developmental stage. Statistical analysis techniques range from simple graphical evaluation to multivariate analysis such as artificial neural network and radial basis function. The introduction of electronic noses into the area of food is envisaged for quality control, process monitoring, freshness evaluation, shelf-life investigation and authenticity assessment. Considerable work has already been carried out on meat, grains, coffee, mushrooms, cheese, sugar, fish, beer and other beverages, as well as on the odor quality evaluation of food packaging material. This paper describes the applications of these systems for meat quality assessment, where fast detection methods are essential for appropriate product management. The results suggest the possibility of using this new technology in meat handling.
format Online
Article
Text
id pubmed-3312430
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-33124302012-03-27 Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology) Ghasemi-Varnamkhasti, Mahdi Mohtasebi, Seyed Saeid Siadat, Maryam Balasubramanian, Sundar Sensors (Basel) Review Over the last twenty years, newly developed chemical sensor systems (so called “electronic noses”) have made odor analyses possible. These systems involve various types of electronic chemical gas sensors with partial specificity, as well as suitable statistical methods enabling the recognition of complex odors. As commercial instruments have become available, a substantial increase in research into the application of electronic noses in the evaluation of volatile compounds in food, cosmetic and other items of everyday life is observed. At present, the commercial gas sensor technologies comprise metal oxide semiconductors, metal oxide semiconductor field effect transistors, organic conducting polymers, and piezoelectric crystal sensors. Further sensors based on fibreoptic, electrochemical and bi-metal principles are still in the developmental stage. Statistical analysis techniques range from simple graphical evaluation to multivariate analysis such as artificial neural network and radial basis function. The introduction of electronic noses into the area of food is envisaged for quality control, process monitoring, freshness evaluation, shelf-life investigation and authenticity assessment. Considerable work has already been carried out on meat, grains, coffee, mushrooms, cheese, sugar, fish, beer and other beverages, as well as on the odor quality evaluation of food packaging material. This paper describes the applications of these systems for meat quality assessment, where fast detection methods are essential for appropriate product management. The results suggest the possibility of using this new technology in meat handling. Molecular Diversity Preservation International (MDPI) 2009-07-30 /pmc/articles/PMC3312430/ /pubmed/22454572 http://dx.doi.org/10.3390/s90806058 Text en © 2009 by the authors; licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Ghasemi-Varnamkhasti, Mahdi
Mohtasebi, Seyed Saeid
Siadat, Maryam
Balasubramanian, Sundar
Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title_full Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title_fullStr Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title_full_unstemmed Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title_short Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)
title_sort meat quality assessment by electronic nose (machine olfaction technology)
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312430/
https://www.ncbi.nlm.nih.gov/pubmed/22454572
http://dx.doi.org/10.3390/s90806058
work_keys_str_mv AT ghasemivarnamkhastimahdi meatqualityassessmentbyelectronicnosemachineolfactiontechnology
AT mohtasebiseyedsaeid meatqualityassessmentbyelectronicnosemachineolfactiontechnology
AT siadatmaryam meatqualityassessmentbyelectronicnosemachineolfactiontechnology
AT balasubramaniansundar meatqualityassessmentbyelectronicnosemachineolfactiontechnology