Cargando…
Application of fluorescence spectroscopy using classical right angle technique in white wines classification
The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardo...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890751/ https://www.ncbi.nlm.nih.gov/pubmed/31796794 http://dx.doi.org/10.1038/s41598-019-54697-8 |
_version_ | 1783475677211656192 |
---|---|
author | Suciu, Ramona-Crina Zarbo, Liviu Guyon, Francois Magdas, Dana Alina |
author_facet | Suciu, Ramona-Crina Zarbo, Liviu Guyon, Francois Magdas, Dana Alina |
author_sort | Suciu, Ramona-Crina |
collection | PubMed |
description | The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardonnay, Pinot Gris, Riesling and Sauvignon) from two different countries (Romania and France) were investigated. The excitation – emission matrices were statistically processed using parallel factor analysis (PARAFAC). According to Soft Independent Modeling Classification Analogy (SIMCA) model, for cultivar differentiation, only 3 out of 107 wine samples (1 Pinot Gris (Romania); 1 Riesling (Romania) and 1 Sauvignon (France)) were misclassified while for geographical origin assessment, only 2 wines (1 Romania and 1 France) were misclassified. This study demonstrates the potential of excitation – emission fluorescence matrices spectroscopy using the classical right angle technique in wine authentication, without sample dilution. |
format | Online Article Text |
id | pubmed-6890751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68907512019-12-10 Application of fluorescence spectroscopy using classical right angle technique in white wines classification Suciu, Ramona-Crina Zarbo, Liviu Guyon, Francois Magdas, Dana Alina Sci Rep Article The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardonnay, Pinot Gris, Riesling and Sauvignon) from two different countries (Romania and France) were investigated. The excitation – emission matrices were statistically processed using parallel factor analysis (PARAFAC). According to Soft Independent Modeling Classification Analogy (SIMCA) model, for cultivar differentiation, only 3 out of 107 wine samples (1 Pinot Gris (Romania); 1 Riesling (Romania) and 1 Sauvignon (France)) were misclassified while for geographical origin assessment, only 2 wines (1 Romania and 1 France) were misclassified. This study demonstrates the potential of excitation – emission fluorescence matrices spectroscopy using the classical right angle technique in wine authentication, without sample dilution. Nature Publishing Group UK 2019-12-03 /pmc/articles/PMC6890751/ /pubmed/31796794 http://dx.doi.org/10.1038/s41598-019-54697-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Suciu, Ramona-Crina Zarbo, Liviu Guyon, Francois Magdas, Dana Alina Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title | Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title_full | Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title_fullStr | Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title_full_unstemmed | Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title_short | Application of fluorescence spectroscopy using classical right angle technique in white wines classification |
title_sort | application of fluorescence spectroscopy using classical right angle technique in white wines classification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890751/ https://www.ncbi.nlm.nih.gov/pubmed/31796794 http://dx.doi.org/10.1038/s41598-019-54697-8 |
work_keys_str_mv | AT suciuramonacrina applicationoffluorescencespectroscopyusingclassicalrightangletechniqueinwhitewinesclassification AT zarboliviu applicationoffluorescencespectroscopyusingclassicalrightangletechniqueinwhitewinesclassification AT guyonfrancois applicationoffluorescencespectroscopyusingclassicalrightangletechniqueinwhitewinesclassification AT magdasdanaalina applicationoffluorescencespectroscopyusingclassicalrightangletechniqueinwhitewinesclassification |