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Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment
Data on the mineral composition and content of one heavy metal measured in three different fruit flours prepared from ripe and unripe fruits (pulp and peel) are presented. The mineral composition (sodium (Na), potassium (K), magnesium (Mg), calcium (Ca), zinc (Zn), copper (Cu), iron (Fe) and mangane...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110322/ https://www.ncbi.nlm.nih.gov/pubmed/32258278 http://dx.doi.org/10.1016/j.dib.2020.105414 |
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author | Alkarkhi, Abbas F.M. Alqaraghuli, Wasin A.A. Mohamed Zam, N.R. Manan, D.M.A. Mahmud, M.N. Huda, Nurul |
author_facet | Alkarkhi, Abbas F.M. Alqaraghuli, Wasin A.A. Mohamed Zam, N.R. Manan, D.M.A. Mahmud, M.N. Huda, Nurul |
author_sort | Alkarkhi, Abbas F.M. |
collection | PubMed |
description | Data on the mineral composition and content of one heavy metal measured in three different fruit flours prepared from ripe and unripe fruits (pulp and peel) are presented. The mineral composition (sodium (Na), potassium (K), magnesium (Mg), calcium (Ca), zinc (Zn), copper (Cu), iron (Fe) and manganese (Mn)) and content of one heavy metal (lead (Pb)) of the flours were analyzed by atomic absorption spectrophotometry. The analysis showed that the data can be used for differentiation between different fruits and stages of ripeness, as revealed by discriminant analysis and cluster analysis. The data provided can be used by researchers and scientists in the differentiation of fruits based on major and minor mineral elements. |
format | Online Article Text |
id | pubmed-7110322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71103222020-04-03 Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment Alkarkhi, Abbas F.M. Alqaraghuli, Wasin A.A. Mohamed Zam, N.R. Manan, D.M.A. Mahmud, M.N. Huda, Nurul Data Brief Agricultural and Biological Science Data on the mineral composition and content of one heavy metal measured in three different fruit flours prepared from ripe and unripe fruits (pulp and peel) are presented. The mineral composition (sodium (Na), potassium (K), magnesium (Mg), calcium (Ca), zinc (Zn), copper (Cu), iron (Fe) and manganese (Mn)) and content of one heavy metal (lead (Pb)) of the flours were analyzed by atomic absorption spectrophotometry. The analysis showed that the data can be used for differentiation between different fruits and stages of ripeness, as revealed by discriminant analysis and cluster analysis. The data provided can be used by researchers and scientists in the differentiation of fruits based on major and minor mineral elements. Elsevier 2020-03-12 /pmc/articles/PMC7110322/ /pubmed/32258278 http://dx.doi.org/10.1016/j.dib.2020.105414 Text en © 2020 The Author(s) 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 Alkarkhi, Abbas F.M. Alqaraghuli, Wasin A.A. Mohamed Zam, N.R. Manan, D.M.A. Mahmud, M.N. Huda, Nurul Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title | Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title_full | Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title_fullStr | Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title_full_unstemmed | Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title_short | Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment |
title_sort | differentiation of ripe and unripe fruit flour using mineral composition data—statistical assessment |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110322/ https://www.ncbi.nlm.nih.gov/pubmed/32258278 http://dx.doi.org/10.1016/j.dib.2020.105414 |
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