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A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS

This dataset refers to the accompanying article “Optimization of extraction procedure and development of LC-DAD-MS methodology for anthocyanin analysis in anthocyanin-pigmented corn kernels”, published in Food Chemistry [1]. Here, we present concentrations, profiles, MS(2) spectra of individual anth...

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Detalles Bibliográficos
Autores principales: Hong, Hung Trieu, Netzel, Michael Erich, O'Hare, Timothy James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170948/
https://www.ncbi.nlm.nih.gov/pubmed/32322628
http://dx.doi.org/10.1016/j.dib.2020.105495
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author Hong, Hung Trieu
Netzel, Michael Erich
O'Hare, Timothy James
author_facet Hong, Hung Trieu
Netzel, Michael Erich
O'Hare, Timothy James
author_sort Hong, Hung Trieu
collection PubMed
description This dataset refers to the accompanying article “Optimization of extraction procedure and development of LC-DAD-MS methodology for anthocyanin analysis in anthocyanin-pigmented corn kernels”, published in Food Chemistry [1]. Here, we present concentrations, profiles, MS(2) spectra of individual anthocyanins (including isomers of cyanidin-3-(6’’-malonylglucoside)) of purple-pericarp sweetcorn (PPS) kernels. Furthermore, an additional mass spectrum of an artefact-anthocyanin produced in acidified extraction solutions were reported. This data is further discussed in the accompanying research article [1]. Delphinidin-3-glucoside was used as an internal standard to compensate for individual anthocyanin losses during extraction with acidified solutions. The generated data could be used for anthocyanin identification and quantification in different anthocyanin-containing plant matrices.
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spelling pubmed-71709482020-04-22 A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS Hong, Hung Trieu Netzel, Michael Erich O'Hare, Timothy James Data Brief Agricultural and Biological Science This dataset refers to the accompanying article “Optimization of extraction procedure and development of LC-DAD-MS methodology for anthocyanin analysis in anthocyanin-pigmented corn kernels”, published in Food Chemistry [1]. Here, we present concentrations, profiles, MS(2) spectra of individual anthocyanins (including isomers of cyanidin-3-(6’’-malonylglucoside)) of purple-pericarp sweetcorn (PPS) kernels. Furthermore, an additional mass spectrum of an artefact-anthocyanin produced in acidified extraction solutions were reported. This data is further discussed in the accompanying research article [1]. Delphinidin-3-glucoside was used as an internal standard to compensate for individual anthocyanin losses during extraction with acidified solutions. The generated data could be used for anthocyanin identification and quantification in different anthocyanin-containing plant matrices. Elsevier 2020-04-08 /pmc/articles/PMC7170948/ /pubmed/32322628 http://dx.doi.org/10.1016/j.dib.2020.105495 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Agricultural and Biological Science
Hong, Hung Trieu
Netzel, Michael Erich
O'Hare, Timothy James
A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title_full A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title_fullStr A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title_full_unstemmed A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title_short A dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by LC-DAD-MS
title_sort dataset for anthocyanin analysis in purple-pericarp sweetcorn kernels by lc-dad-ms
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170948/
https://www.ncbi.nlm.nih.gov/pubmed/32322628
http://dx.doi.org/10.1016/j.dib.2020.105495
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