Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose
This article discusses the use of a handheld electronic nose to obtain information on the presence of some aromatic defects in natural cork stoppers, such as haloanisoles, alkylmethoxypyrazines, and ketones. Typical concentrations of these compounds (from 5 to 120 ng in the cork samples) have been m...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/13/4687 |
| _version_ | 1797408267808276480 |
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| author | José Pedro Santos Isabel Sayago José Luis Sanjurjo María Soledad Perez-Coello María Consuelo Díaz-Maroto |
| author_facet | José Pedro Santos Isabel Sayago José Luis Sanjurjo María Soledad Perez-Coello María Consuelo Díaz-Maroto |
| author_sort | José Pedro Santos |
| collection | DOAJ |
| description | This article discusses the use of a handheld electronic nose to obtain information on the presence of some aromatic defects in natural cork stoppers, such as haloanisoles, alkylmethoxypyrazines, and ketones. Typical concentrations of these compounds (from 5 to 120 ng in the cork samples) have been measured. Two electronic nose prototypes have been developed as an instrumentation system comprise of eight commercial gas sensors to perform two sets of experiments. In the first experiment, a quantitative approach was used whist in the second experiment a qualitative one was used. Machine learning algorithms such as k-nearest neighbors and artificial neural networks have been used in order to test the performance of the system to detect cork defects. 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. We found this electronic nose to have near 100 % accuracy in the detection of these defects. |
| first_indexed | 2024-03-09T03:55:58Z |
| format | Article |
| id | doaj.art-d239aec38ff644199ce24c02294a1cce |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:55:58Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d239aec38ff644199ce24c02294a1cce2023-12-03T14:21:36ZengMDPI AGSensors1424-82202022-06-012213468710.3390/s22134687Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic NoseJosé Pedro Santos0Isabel Sayago1José Luis Sanjurjo2María Soledad Perez-Coello3María Consuelo Díaz-Maroto4Instituto de Tecnologías Físicas y de la Información (ITEFI), Consejo Superior de Investigaciones Científicas, Serrano 144, 28006 Madrid, SpainInstituto de Tecnologías Físicas y de la Información (ITEFI), Consejo Superior de Investigaciones Científicas, Serrano 144, 28006 Madrid, SpainInstituto de Tecnologías Físicas y de la Información (ITEFI), Consejo Superior de Investigaciones Científicas, Serrano 144, 28006 Madrid, SpainFood Technology, Facultad de Ciencias y Tecnologías Químicas, Instituto Regional de Investigación Científica Aplicada (IRICA), Universidad de Castilla-La Mancha, 13071 Ciudad Real, SpainFood Technology, Facultad de Ciencias y Tecnologías Químicas, Instituto Regional de Investigación Científica Aplicada (IRICA), Universidad de Castilla-La Mancha, 13071 Ciudad Real, SpainThis article discusses the use of a handheld electronic nose to obtain information on the presence of some aromatic defects in natural cork stoppers, such as haloanisoles, alkylmethoxypyrazines, and ketones. Typical concentrations of these compounds (from 5 to 120 ng in the cork samples) have been measured. Two electronic nose prototypes have been developed as an instrumentation system comprise of eight commercial gas sensors to perform two sets of experiments. In the first experiment, a quantitative approach was used whist in the second experiment a qualitative one was used. Machine learning algorithms such as k-nearest neighbors and artificial neural networks have been used in order to test the performance of the system to detect cork defects. 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. We found this electronic nose to have near 100 % accuracy in the detection of these defects.https://www.mdpi.com/1424-8220/22/13/4687natural cork stopperscorky off-flavorselectronic nosemachine learning algorithmsartificial neural networks |
| spellingShingle | José Pedro Santos Isabel Sayago José Luis Sanjurjo María Soledad Perez-Coello María Consuelo Díaz-Maroto Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose Sensors natural cork stoppers corky off-flavors electronic nose machine learning algorithms artificial neural networks |
| title | Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose |
| title_full | Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose |
| title_fullStr | Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose |
| title_full_unstemmed | Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose |
| title_short | Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose |
| title_sort | rapid and non destructive analysis of corky off flavors in natural cork stoppers by a wireless and portable electronic nose |
| topic | natural cork stoppers corky off-flavors electronic nose machine learning algorithms artificial neural networks |
| url | https://www.mdpi.com/1424-8220/22/13/4687 |
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