Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment

Abbas F.M. Alkarkhi, and Wasin A.A. Alqaraghuli, and N.R. Mohamed Zam, and D.M.A. Manan, and M.N. Mahmud, and Nurul Huda, (2020) Differentiation of ripe and unripe fruit flour using mineral composition data—Statistical assessment. Data in Brief, 30.

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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.

Item Type: Article
Uncontrolled Keywords: Major element, Minor elementHeavy metal, Discriminant analysis,Cluster analysis
Subjects: T Technology > TP Chemical technology > TP368-456 Food processing and manufacture
Divisions: FACULTY > Faculty of Food Science and Nutrition
Depositing User: MDM SITI AZIZAH IDRIS
Date Deposited: 29 Jul 2020 00:59
Last Modified: 29 Jul 2020 00:59
URI: http://eprints.ums.edu.my/id/eprint/25732

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