NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum)
Tomato composition and nutritional value are attracting increasing attention and interest from both consumers and producers. The interest in enhancing fruits’ quality with respect to beneficious nutrients and flavor/aroma components is based not only in their economic added value but also in their i...
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Format: | info:eu-repo/semantics/article |
Language: | English |
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MDPI
2020
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Online Access: | http://hdl.handle.net/10835/8409 |
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author | Ralha de Abreu, Ana Cristina Fernández de las Nieves, Ignacio |
author_facet | Ralha de Abreu, Ana Cristina Fernández de las Nieves, Ignacio |
author_sort | Ralha de Abreu, Ana Cristina |
collection | DSpace |
description | Tomato composition and nutritional value are attracting increasing attention and interest from both consumers and producers. The interest in enhancing fruits’ quality with respect to beneficious nutrients and flavor/aroma components is based not only in their economic added value but also in their implications involving organoleptic and healthy properties and has generated considerable research interest among nutraceutical and horticultural industries. The present article reviews up to March 2020 some of the most relevant studies based on the application of NMR coupled to multivariate statistical analysis that have addressed the investigation on tomato (Solanum lycopersicum). Specifically, the NMR untargeted technique in the agri-food sector can generate comprehensive data on metabolic networks and is paving the way towards the understanding of variables affecting tomato crops and composition such as origin, variety, salt-water irrigation, cultivation techniques, stage of development, among many others. Such knowledge is helpful to improve fruit quality through cultural practices that divert the metabolism towards the desired pathways and, probably more importantly, drives further efforts towards the differentiation of those crops developed under controlled and desired agronomical conditions. |
format | info:eu-repo/semantics/article |
id | oai:repositorio.ual.es:10835-8409 |
institution | Universidad de Cuenca |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | dspace |
spelling | oai:repositorio.ual.es:10835-84092023-04-12T19:46:47Z NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) Ralha de Abreu, Ana Cristina Fernández de las Nieves, Ignacio NMR metabolomics multivariate data analysis chemometrics tomato Solanum lycopersicum Tomato composition and nutritional value are attracting increasing attention and interest from both consumers and producers. The interest in enhancing fruits’ quality with respect to beneficious nutrients and flavor/aroma components is based not only in their economic added value but also in their implications involving organoleptic and healthy properties and has generated considerable research interest among nutraceutical and horticultural industries. The present article reviews up to March 2020 some of the most relevant studies based on the application of NMR coupled to multivariate statistical analysis that have addressed the investigation on tomato (Solanum lycopersicum). Specifically, the NMR untargeted technique in the agri-food sector can generate comprehensive data on metabolic networks and is paving the way towards the understanding of variables affecting tomato crops and composition such as origin, variety, salt-water irrigation, cultivation techniques, stage of development, among many others. Such knowledge is helpful to improve fruit quality through cultural practices that divert the metabolism towards the desired pathways and, probably more importantly, drives further efforts towards the differentiation of those crops developed under controlled and desired agronomical conditions. 2020-09-02T10:44:24Z 2020-09-02T10:44:24Z 2020-08-16 info:eu-repo/semantics/article 1420-3049 http://hdl.handle.net/10835/8409 en https://www.mdpi.com/1420-3049/25/16/3738 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
spellingShingle | NMR metabolomics multivariate data analysis chemometrics tomato Solanum lycopersicum Ralha de Abreu, Ana Cristina Fernández de las Nieves, Ignacio NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title | NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title_full | NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title_fullStr | NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title_full_unstemmed | NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title_short | NMR Metabolomics Applied on the Discrimination of Variables Influencing Tomato (Solanum lycopersicum) |
title_sort | nmr metabolomics applied on the discrimination of variables influencing tomato (solanum lycopersicum) |
topic | NMR metabolomics multivariate data analysis chemometrics tomato Solanum lycopersicum |
url | http://hdl.handle.net/10835/8409 |
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