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Development of Distillation Sensors for Spirit Beverages Production Monitoring Based on Impedance Spectroscopy Measurement and Partial Least-Squares Regression
[Image: see text] During spirit beverages production, the distillate is divided into three parts: the head, the heart, and the tail. Acetaldehyde and ethanol are two key markers which allow the correct separation of distillate. Being toxic, the elimination of the head part, which contains a high con...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157875/ https://www.ncbi.nlm.nih.gov/pubmed/37151522 http://dx.doi.org/10.1021/acsomega.3c00481 |
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author | Zeng, Liming Pernet, Arnaud Cléroux, Marilyn Bach, Benoît Froidevaux, Lucas Preda, Ioana |
author_facet | Zeng, Liming Pernet, Arnaud Cléroux, Marilyn Bach, Benoît Froidevaux, Lucas Preda, Ioana |
author_sort | Zeng, Liming |
collection | PubMed |
description | [Image: see text] During spirit beverages production, the distillate is divided into three parts: the head, the heart, and the tail. Acetaldehyde and ethanol are two key markers which allow the correct separation of distillate. Being toxic, the elimination of the head part, which contains a high concentration of acetaldehyde, is crucial to guarantee the consumer’s health and security. Plus, the tail should be separated from the heart based on ethanol concentration. Nowadays, online or in-line sensors for acetaldehyde monitoring during distillation do not exist, and the online sensors for alcohol monitoring, based on density measurement, remain expensive for producers. In this work, we demonstrate the development of distillation monitoring sensors based on electrical impedance spectroscopy (EIS) measurements, combined with PLS-R (partial least-squares regression) modeling. Four types of sensors are proposed and tested with wine-based distillates. Using PLS-R, the best correlations were found for one electrode, named “SpotsSym”. With an R(2) up to 89.9% for acetaldehyde concentration prediction and an R(2) up to 86.8% for ethanol, the obtained results indicate the promising potential of the proposed approach. To our knowledge, this is the first report of sensors capable of simultaneously measuring ethanol and acetaldehyde concentrations. Furthermore, these sensors offer the advantages of being low cost and nondestructive. Based on these results, the development of an in-line distillation monitoring system is possible in the near future, providing a promising tool for spirit beverages producers. |
format | Online Article Text |
id | pubmed-10157875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101578752023-05-05 Development of Distillation Sensors for Spirit Beverages Production Monitoring Based on Impedance Spectroscopy Measurement and Partial Least-Squares Regression Zeng, Liming Pernet, Arnaud Cléroux, Marilyn Bach, Benoît Froidevaux, Lucas Preda, Ioana ACS Omega [Image: see text] During spirit beverages production, the distillate is divided into three parts: the head, the heart, and the tail. Acetaldehyde and ethanol are two key markers which allow the correct separation of distillate. Being toxic, the elimination of the head part, which contains a high concentration of acetaldehyde, is crucial to guarantee the consumer’s health and security. Plus, the tail should be separated from the heart based on ethanol concentration. Nowadays, online or in-line sensors for acetaldehyde monitoring during distillation do not exist, and the online sensors for alcohol monitoring, based on density measurement, remain expensive for producers. In this work, we demonstrate the development of distillation monitoring sensors based on electrical impedance spectroscopy (EIS) measurements, combined with PLS-R (partial least-squares regression) modeling. Four types of sensors are proposed and tested with wine-based distillates. Using PLS-R, the best correlations were found for one electrode, named “SpotsSym”. With an R(2) up to 89.9% for acetaldehyde concentration prediction and an R(2) up to 86.8% for ethanol, the obtained results indicate the promising potential of the proposed approach. To our knowledge, this is the first report of sensors capable of simultaneously measuring ethanol and acetaldehyde concentrations. Furthermore, these sensors offer the advantages of being low cost and nondestructive. Based on these results, the development of an in-line distillation monitoring system is possible in the near future, providing a promising tool for spirit beverages producers. American Chemical Society 2023-04-17 /pmc/articles/PMC10157875/ /pubmed/37151522 http://dx.doi.org/10.1021/acsomega.3c00481 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Zeng, Liming Pernet, Arnaud Cléroux, Marilyn Bach, Benoît Froidevaux, Lucas Preda, Ioana Development of Distillation Sensors for Spirit Beverages Production Monitoring Based on Impedance Spectroscopy Measurement and Partial Least-Squares Regression |
title | Development of
Distillation Sensors for Spirit Beverages
Production Monitoring Based on Impedance Spectroscopy Measurement
and Partial Least-Squares Regression |
title_full | Development of
Distillation Sensors for Spirit Beverages
Production Monitoring Based on Impedance Spectroscopy Measurement
and Partial Least-Squares Regression |
title_fullStr | Development of
Distillation Sensors for Spirit Beverages
Production Monitoring Based on Impedance Spectroscopy Measurement
and Partial Least-Squares Regression |
title_full_unstemmed | Development of
Distillation Sensors for Spirit Beverages
Production Monitoring Based on Impedance Spectroscopy Measurement
and Partial Least-Squares Regression |
title_short | Development of
Distillation Sensors for Spirit Beverages
Production Monitoring Based on Impedance Spectroscopy Measurement
and Partial Least-Squares Regression |
title_sort | development of
distillation sensors for spirit beverages
production monitoring based on impedance spectroscopy measurement
and partial least-squares regression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157875/ https://www.ncbi.nlm.nih.gov/pubmed/37151522 http://dx.doi.org/10.1021/acsomega.3c00481 |
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