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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...

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Autores principales: Alkarkhi, Abbas F.M., Alqaraghuli, Wasin A.A., Mohamed Zam, N.R., Manan, D.M.A., Mahmud, M.N., Huda, Nurul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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.
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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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