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Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits

The current methodology used in quality control of Ecuadorian beverages such as Pájaro azúl, Puro and Pata de vaca is carried out by using conventional gas chromatography; however, it does not allow the fingerprinting of these Ecuadorian spirit beverages and their possible cases of adulteration. In...

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Autores principales: Mogollón, Noroska Gabriela Salazar, Alexandrino, Guilherme Lionello, de Almeida, José Rafael, Niño-Ruiz, Zulay, Peña-Delgado, José Gregorio, Torres-Gutiérrez, Roldán, Augusto, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768027/
https://www.ncbi.nlm.nih.gov/pubmed/30311106
http://dx.doi.org/10.1186/s13065-018-0470-x
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author Mogollón, Noroska Gabriela Salazar
Alexandrino, Guilherme Lionello
de Almeida, José Rafael
Niño-Ruiz, Zulay
Peña-Delgado, José Gregorio
Torres-Gutiérrez, Roldán
Augusto, Fabio
author_facet Mogollón, Noroska Gabriela Salazar
Alexandrino, Guilherme Lionello
de Almeida, José Rafael
Niño-Ruiz, Zulay
Peña-Delgado, José Gregorio
Torres-Gutiérrez, Roldán
Augusto, Fabio
author_sort Mogollón, Noroska Gabriela Salazar
collection PubMed
description The current methodology used in quality control of Ecuadorian beverages such as Pájaro azúl, Puro and Pata de vaca is carried out by using conventional gas chromatography; however, it does not allow the fingerprinting of these Ecuadorian spirit beverages and their possible cases of adulteration. In order to overcome this drawback, comprehensive two-dimensional gas chromatography–mass spectrometry (GC × GC–MS) was combined with multivariate data analysis, revealing that compounds like citronellal, citronellol, geraniol, methyl anthranilate, (−)-trans-α-bergamotene, (−)-cis-α-bergamotene and d-limonene can be considered key elements for pattern recognition of these traditional beverages and product adulteration cases. Thus, the two-dimensional chromatographic fingerprints obtained by GC × GC–MS coupled with chemometric analysis, using Principal Component Analysis and Fisher-ratio can be considered as a potential strategy for adulteration recognition, and it may used as a quality assurance system for Ecuadorian traditional spirits.
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spelling pubmed-67680272019-10-03 Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits Mogollón, Noroska Gabriela Salazar Alexandrino, Guilherme Lionello de Almeida, José Rafael Niño-Ruiz, Zulay Peña-Delgado, José Gregorio Torres-Gutiérrez, Roldán Augusto, Fabio Chem Cent J Research Article The current methodology used in quality control of Ecuadorian beverages such as Pájaro azúl, Puro and Pata de vaca is carried out by using conventional gas chromatography; however, it does not allow the fingerprinting of these Ecuadorian spirit beverages and their possible cases of adulteration. In order to overcome this drawback, comprehensive two-dimensional gas chromatography–mass spectrometry (GC × GC–MS) was combined with multivariate data analysis, revealing that compounds like citronellal, citronellol, geraniol, methyl anthranilate, (−)-trans-α-bergamotene, (−)-cis-α-bergamotene and d-limonene can be considered key elements for pattern recognition of these traditional beverages and product adulteration cases. Thus, the two-dimensional chromatographic fingerprints obtained by GC × GC–MS coupled with chemometric analysis, using Principal Component Analysis and Fisher-ratio can be considered as a potential strategy for adulteration recognition, and it may used as a quality assurance system for Ecuadorian traditional spirits. Springer International Publishing 2018-10-11 /pmc/articles/PMC6768027/ /pubmed/30311106 http://dx.doi.org/10.1186/s13065-018-0470-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mogollón, Noroska Gabriela Salazar
Alexandrino, Guilherme Lionello
de Almeida, José Rafael
Niño-Ruiz, Zulay
Peña-Delgado, José Gregorio
Torres-Gutiérrez, Roldán
Augusto, Fabio
Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title_full Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title_fullStr Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title_full_unstemmed Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title_short Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits
title_sort comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in ecuadorian spirits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768027/
https://www.ncbi.nlm.nih.gov/pubmed/30311106
http://dx.doi.org/10.1186/s13065-018-0470-x
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