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1D and 2D NMR spectra of coffee from 27 countries

Between 2012 and 2014, 715 green coffee samples were gathered by Almacafé S.A. (Bogotá, Colombia) from 27 countries. These were analysed at the nuclear magnetic resonance (NMR) laboratory at Universidad del Valle (Cali, Colombia). Over 1000 methanolic coffee extracts were prepared and 4563 spectra w...

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Autores principales: Osorio, Javier, Arana, Victoria A., Medina, Jessica M., Alarcon, Rodrigo, Moreno, Edgar, Wist, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: GigaScience Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650224/
https://www.ncbi.nlm.nih.gov/pubmed/36824514
http://dx.doi.org/10.46471/gigabyte.50
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author Osorio, Javier
Arana, Victoria A.
Medina, Jessica M.
Alarcon, Rodrigo
Moreno, Edgar
Wist, Julien
author_facet Osorio, Javier
Arana, Victoria A.
Medina, Jessica M.
Alarcon, Rodrigo
Moreno, Edgar
Wist, Julien
author_sort Osorio, Javier
collection PubMed
description Between 2012 and 2014, 715 green coffee samples were gathered by Almacafé S.A. (Bogotá, Colombia) from 27 countries. These were analysed at the nuclear magnetic resonance (NMR) laboratory at Universidad del Valle (Cali, Colombia). Over 1000 methanolic coffee extracts were prepared and 4563 spectra were acquired in a fully automatic manner using a 400 MHz NMR spectrometer (Bruker Biospin, Germany). The dataset spans the variance that could be expected for an industrial application of origin monitoring, including samples from different harvest times, collected over several years, and processed by at least two distinct operators. The resulting 1D and 2D spectra can be used to develop and evaluate feature extraction methods, multivariate algorithms, and automation monitoring techniques. They can also be used as datasets for teaching, or as a reference for new studies of similar samples and approaches.
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spelling pubmed-96502242023-02-22 1D and 2D NMR spectra of coffee from 27 countries Osorio, Javier Arana, Victoria A. Medina, Jessica M. Alarcon, Rodrigo Moreno, Edgar Wist, Julien GigaByte Data Release Between 2012 and 2014, 715 green coffee samples were gathered by Almacafé S.A. (Bogotá, Colombia) from 27 countries. These were analysed at the nuclear magnetic resonance (NMR) laboratory at Universidad del Valle (Cali, Colombia). Over 1000 methanolic coffee extracts were prepared and 4563 spectra were acquired in a fully automatic manner using a 400 MHz NMR spectrometer (Bruker Biospin, Germany). The dataset spans the variance that could be expected for an industrial application of origin monitoring, including samples from different harvest times, collected over several years, and processed by at least two distinct operators. The resulting 1D and 2D spectra can be used to develop and evaluate feature extraction methods, multivariate algorithms, and automation monitoring techniques. They can also be used as datasets for teaching, or as a reference for new studies of similar samples and approaches. GigaScience Press 2022-04-21 /pmc/articles/PMC9650224/ /pubmed/36824514 http://dx.doi.org/10.46471/gigabyte.50 Text en © The Author(s) 2022. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Release
Osorio, Javier
Arana, Victoria A.
Medina, Jessica M.
Alarcon, Rodrigo
Moreno, Edgar
Wist, Julien
1D and 2D NMR spectra of coffee from 27 countries
title 1D and 2D NMR spectra of coffee from 27 countries
title_full 1D and 2D NMR spectra of coffee from 27 countries
title_fullStr 1D and 2D NMR spectra of coffee from 27 countries
title_full_unstemmed 1D and 2D NMR spectra of coffee from 27 countries
title_short 1D and 2D NMR spectra of coffee from 27 countries
title_sort 1d and 2d nmr spectra of coffee from 27 countries
topic Data Release
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650224/
https://www.ncbi.nlm.nih.gov/pubmed/36824514
http://dx.doi.org/10.46471/gigabyte.50
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