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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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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. |
format | Online Article Text |
id | pubmed-6768027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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