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Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics
This article contains data related to the research article entitled “Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy” (Dias et al., 2018) [1]. A method potentially able for assessing the quality of roasted ground coffees is described in th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104563/ https://www.ncbi.nlm.nih.gov/pubmed/30140720 http://dx.doi.org/10.1016/j.dib.2018.08.013 |
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author | Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan |
author_facet | Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan |
author_sort | Dias, Rafael Carlos Eloy |
collection | PubMed |
description | This article contains data related to the research article entitled “Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy” (Dias et al., 2018) [1]. A method potentially able for assessing the quality of roasted ground coffees is described in the origin paper. Infrared spectroscopy and photoacoustic detection (FTIR-PAS) associated with multivariate calibration were used. The samples were obtained blending whole and healthy coffee beans (C. arabica and C. canephora) with specific blends of defects, named selections, which contain broken, sour, and black beans, skin, woods and healthy beans still not collected. In addition to a reduction in commercial value, the presence of defects compromises the sensory attributes of coffee. On the other hand, selections are commonly found in coffee crops and can be added intentionally to the product. Twenty-five selections were used to obtain a panel of 154 blends. The FTIR-PAS spectra of each sample generated the prediction model of Partial Least Squares Regression parameters, which are also presented here. |
format | Online Article Text |
id | pubmed-6104563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61045632018-08-23 Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan Data Brief Agricultural and Biological Science This article contains data related to the research article entitled “Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy” (Dias et al., 2018) [1]. A method potentially able for assessing the quality of roasted ground coffees is described in the origin paper. Infrared spectroscopy and photoacoustic detection (FTIR-PAS) associated with multivariate calibration were used. The samples were obtained blending whole and healthy coffee beans (C. arabica and C. canephora) with specific blends of defects, named selections, which contain broken, sour, and black beans, skin, woods and healthy beans still not collected. In addition to a reduction in commercial value, the presence of defects compromises the sensory attributes of coffee. On the other hand, selections are commonly found in coffee crops and can be added intentionally to the product. Twenty-five selections were used to obtain a panel of 154 blends. The FTIR-PAS spectra of each sample generated the prediction model of Partial Least Squares Regression parameters, which are also presented here. Elsevier 2018-08-09 /pmc/articles/PMC6104563/ /pubmed/30140720 http://dx.doi.org/10.1016/j.dib.2018.08.013 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title_full | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title_fullStr | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title_full_unstemmed | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title_short | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
title_sort | data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104563/ https://www.ncbi.nlm.nih.gov/pubmed/30140720 http://dx.doi.org/10.1016/j.dib.2018.08.013 |
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