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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...

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Autores principales: Martín-Tornero, Elísabet, de Jorge Páscoa, Ricardo Nuno Mendes, Espinosa-Mansilla, Anunciación, Martín-Merás, Isabel Durán, Lopes, João Almeida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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