Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by A Wireless and Portable Electronic Nose

Version 1 : Received: 3 May 2022 / Approved: 5 May 2022 / Online: 5 May 2022 (10:45:17 CEST)

A peer-reviewed article of this Preprint also exists.

Santos, J.P.; Sayago, I.; Sanjurjo, J.L.; Perez-Coello, M.S.; Díaz-Maroto, M.C. Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose. Sensors 2022, 22, 4687. Santos, J.P.; Sayago, I.; Sanjurjo, J.L.; Perez-Coello, M.S.; Díaz-Maroto, M.C. Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose. Sensors 2022, 22, 4687.

Abstract

This article discusses the use of a hand held electronic nose to obtain information on the presence of some aromatic defects in natural cork stoppers, such as haloanisoles, alkylmethoxypyrazines and ketones. The proposed prototype has been developed as an instrumentation system with up to eight commercial gas sensors. Machine learning algorithms such as k-nearest neighbors and artificial neural networks has been used. The use of this system tries to improve the current aromatic defect detection process in the cork stopper industry, which is done by gas chromatography or human test panels.

Keywords

Natural cork stoppers; Corky off-flavors; Electronic nose; Machine learning algorithms; Artificial neural networks

Subject

Chemistry and Materials Science, Analytical Chemistry

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