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.
|
Text
Habitat use by a primate community in a lowland dipterocarp forest in Danum Valley, Borneo.pdf Download (48kB) | Preview |
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 |
|---|---|
| Keyword: | Major element, Minor elementHeavy metal, Discriminant analysis,Cluster analysis |
| Subjects: | ?? TP368-456_Food_processing_and_manufacture ?? |
| Department: | FACULTY > Faculty of Food Science and Nutrition |
| Depositing User: | SITI AZIZAH BINTI IDRIS - |
| Date Deposited: | 29 Jul 2020 08:59 |
| Last Modified: | 29 Jul 2020 08:59 |
| URI: | https://eprints.ums.edu.my/id/eprint/25732 |
Actions (login required)
 |
View Item |