Performance Analysis of MAU-9 Electronic-Nose MOS Sensor Array Components and ANN Classification Methods for Discrimination of Herb and Fruit Essential Oils

Performance Analysis of MAU-9 Electronic-Nose MOS Sensor Array Components and ANN Classification Methods for Discrimination of Herb and Fruit Essential Oils

The recent development of MAU-9 electronic sensory methods, based on artificial olfaction detection of volatile emissions using an experimental metal oxide semiconductor (MOS)-type electronic-nose (e-nose) device, have provided novel means for the effective discovery of adulterated and counterfeit e...

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Bibliographic Details
Main Authors: Mansour Rasekh, Hamed Karami, Alphus Dan Wilson, Marek Gancarz
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Chemosensors
Subjects:
artificial neural networks
electronic nose
essential oils
partial least square (PLS)
principal regression (PR)
product adulteration testing
Online Access:https://www.mdpi.com/2227-9040/9/9/243

Internet

https://www.mdpi.com/2227-9040/9/9/243

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