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Title: Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment
Authors: Alkarkhi, A.F.M.
Alqaraghuli, W.A.A.
Mohamed Zam, N.R.
Manan, D.M.A.
Mahmud, M.N.
Huda, N.
UniKL BiS
Keywords: Major element
Minor element
Heavy metal
Discriminant analysis
Cluster analysis
Issue Date: Mar-2020
Publisher: Elsevier Inc.
Citation: Alkarkhi, A. F. M., Alqaraghuli, W. A. A., Mohamed Zam, N. R., Manan, D. M. A., Mahmud, M. N., & Huda, N. (2020). Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment. Data in Brief, 30. https://doi.org/10.1016/j.dib.2020.105414
Abstract: 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.
Description: This articles is index by Scopus
URI: https://www.sciencedirect.com/science/article/pii/S2352340920303085
http://hdl.handle.net/123456789/24893
ISSN: 23523409
Appears in Collections:Journal Articles

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