Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries

The electronic nose (e-nose) is designed to crudely mimic the mammalian nose in that most contain sensors that non-selectively interact with odor molecules to produce some sort of signal that is then sent to a computer that uses multivariate statistics to determine patterns in the data. This pattern...

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Bibliographic Details
Main Authors: Sharon Dea, Anne Plotto, Elizabeth A. Baldwin, Jinhe Bai
Format: Article
Language:English
Published: MDPI AG 2011-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/11/5/4744/
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spelling doaj-8ac4d4fe7a144c7094d56a066e2cb91f2020-11-25T00:39:45ZengMDPI AGSensors1424-82202011-05-011154744476610.3390/s110504744Electronic Noses and Tongues: Applications for the Food and Pharmaceutical IndustriesSharon DeaAnne PlottoElizabeth A. BaldwinJinhe BaiThe electronic nose (e-nose) is designed to crudely mimic the mammalian nose in that most contain sensors that non-selectively interact with odor molecules to produce some sort of signal that is then sent to a computer that uses multivariate statistics to determine patterns in the data. This pattern recognition is used to determine that one sample is similar or different from another based on headspace volatiles. There are different types of e-nose sensors including organic polymers, metal oxides, quartz crystal microbalance and even gas-chromatography (GC) or combined with mass spectroscopy (MS) can be used in a non-selective manner using chemical mass or patterns from a short GC column as an e-nose or “Z” nose. The electronic tongue reacts similarly to non-volatile compounds in a liquid. This review will concentrate on applications of e-nose and e-tongue technology for edible products and pharmaceutical uses.http://www.mdpi.com/1424-8220/11/5/4744/biosensorschemical sensorsmultivariate statisticsneural networkspattern recognitiongas chromatographymass spectroscopyliquid chromatographysensoryflavorshelf life
collection DOAJ
language English
format Article
sources DOAJ
author Sharon Dea
Anne Plotto
Elizabeth A. Baldwin
Jinhe Bai
spellingShingle Sharon Dea
Anne Plotto
Elizabeth A. Baldwin
Jinhe Bai
Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
Sensors
biosensors
chemical sensors
multivariate statistics
neural networks
pattern recognition
gas chromatography
mass spectroscopy
liquid chromatography
sensory
flavor
shelf life
author_facet Sharon Dea
Anne Plotto
Elizabeth A. Baldwin
Jinhe Bai
author_sort Sharon Dea
title Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
title_short Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
title_full Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
title_fullStr Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
title_full_unstemmed Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
title_sort electronic noses and tongues: applications for the food and pharmaceutical industries
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2011-05-01
description The electronic nose (e-nose) is designed to crudely mimic the mammalian nose in that most contain sensors that non-selectively interact with odor molecules to produce some sort of signal that is then sent to a computer that uses multivariate statistics to determine patterns in the data. This pattern recognition is used to determine that one sample is similar or different from another based on headspace volatiles. There are different types of e-nose sensors including organic polymers, metal oxides, quartz crystal microbalance and even gas-chromatography (GC) or combined with mass spectroscopy (MS) can be used in a non-selective manner using chemical mass or patterns from a short GC column as an e-nose or “Z” nose. The electronic tongue reacts similarly to non-volatile compounds in a liquid. This review will concentrate on applications of e-nose and e-tongue technology for edible products and pharmaceutical uses.
topic biosensors
chemical sensors
multivariate statistics
neural networks
pattern recognition
gas chromatography
mass spectroscopy
liquid chromatography
sensory
flavor
shelf life
url http://www.mdpi.com/1424-8220/11/5/4744/
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