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Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations
Near infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) in combination with chemometric analysis were applied to discriminate the geographical origin of grapevine leaves belonging to the variety “Touriga Nacional” during different vegetative stages. Leaves were collected from plants o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148322/ https://www.ncbi.nlm.nih.gov/pubmed/32277161 http://dx.doi.org/10.1038/s41598-020-63407-8 |
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author | Martín-Tornero, Elísabet de Jorge Páscoa, Ricardo Nuno Mendes Espinosa-Mansilla, Anunciación Martín-Merás, Isabel Durán Lopes, João Almeida |
author_facet | Martín-Tornero, Elísabet de Jorge Páscoa, Ricardo Nuno Mendes Espinosa-Mansilla, Anunciación Martín-Merás, Isabel Durán Lopes, João Almeida |
author_sort | Martín-Tornero, Elísabet |
collection | PubMed |
description | Near infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) in combination with chemometric analysis were applied to discriminate the geographical origin of grapevine leaves belonging to the variety “Touriga Nacional” during different vegetative stages. Leaves were collected from plants of two different wine regions in Portugal (Dão and Douro) over the grapes maturation period. A sampling plan was designed in order to obtain the most variability within the vineyards taking into account variables such as: solar exposition, land inclination, altitude and soil properties, essentially. Principal component analysis (PCA) was used to extract relevant information from the spectral data and presented visible cluster trends. Results, both with NIRS and MIRS, demonstrate that it is possible to discriminate between the two geographical origins with an outstanding accuracy. Spectral patterns of grapevine leaves show significant differences during grape maturation period, with a special emphasis between the months of June and September. Additionally, the quantification of total chlorophyll and total polyphenol content from leaves spectra was attempted by both techniques. For this purpose, partial least squares (PLS) regression was employed. PLS models based on NIRS and MIRS, both demonstrate a statistically significant correlation for the total chlorophyll (R(2)(P) = 0.92 and R(2)(P) = 0.76, respectively). However, the PLS model for the total polyphenols, may only be considered as a screening method, because significant prediction errors, independently of resourcing on NIRS, MIRS or both techniques simultaneously, were obtained. |
format | Online Article Text |
id | pubmed-7148322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71483222020-04-15 Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations Martín-Tornero, Elísabet de Jorge Páscoa, Ricardo Nuno Mendes Espinosa-Mansilla, Anunciación Martín-Merás, Isabel Durán Lopes, João Almeida Sci Rep Article Near infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) in combination with chemometric analysis were applied to discriminate the geographical origin of grapevine leaves belonging to the variety “Touriga Nacional” during different vegetative stages. Leaves were collected from plants of two different wine regions in Portugal (Dão and Douro) over the grapes maturation period. A sampling plan was designed in order to obtain the most variability within the vineyards taking into account variables such as: solar exposition, land inclination, altitude and soil properties, essentially. Principal component analysis (PCA) was used to extract relevant information from the spectral data and presented visible cluster trends. Results, both with NIRS and MIRS, demonstrate that it is possible to discriminate between the two geographical origins with an outstanding accuracy. Spectral patterns of grapevine leaves show significant differences during grape maturation period, with a special emphasis between the months of June and September. Additionally, the quantification of total chlorophyll and total polyphenol content from leaves spectra was attempted by both techniques. For this purpose, partial least squares (PLS) regression was employed. PLS models based on NIRS and MIRS, both demonstrate a statistically significant correlation for the total chlorophyll (R(2)(P) = 0.92 and R(2)(P) = 0.76, respectively). However, the PLS model for the total polyphenols, may only be considered as a screening method, because significant prediction errors, independently of resourcing on NIRS, MIRS or both techniques simultaneously, were obtained. Nature Publishing Group UK 2020-04-10 /pmc/articles/PMC7148322/ /pubmed/32277161 http://dx.doi.org/10.1038/s41598-020-63407-8 Text en © The Author(s) 2020 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 Martín-Tornero, Elísabet de Jorge Páscoa, Ricardo Nuno Mendes Espinosa-Mansilla, Anunciación Martín-Merás, Isabel Durán Lopes, João Almeida Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title | Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title_full | Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title_fullStr | Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title_full_unstemmed | Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title_short | Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
title_sort | comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148322/ https://www.ncbi.nlm.nih.gov/pubmed/32277161 http://dx.doi.org/10.1038/s41598-020-63407-8 |
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