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

Abbas F M Alkarkhi; Wasin A A Alqaraghuli; N R Mohamed Zam; D M A Manan; M N Mahmud; Nurul Huda

doi:10.1016/j.dib.2020.105414

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

Data Brief. 2020 Mar 12:30:105414. doi: 10.1016/j.dib.2020.105414. eCollection 2020 Jun.

Authors

Abbas F M Alkarkhi¹, Wasin A A Alqaraghuli², N R Mohamed Zam³, D M A Manan³, M N Mahmud³, Nurul Huda⁴

Affiliations

¹ Universiti Kuala Lumpur Business School (UniKL Bis), 50250, Kuala Lumpur, Malaysia.
² Skill Education Center, PA, A-07-03 Pearl Avenue, Sungai Chua, 43000 Kajang, Selangor, Malaysia.
³ Universiti Kuala Lumpur Branch Campus Malaysian Institute of Chemical & Bioengineering Technology (UniKL, MICET), 78000 Melaka, Malaysia.
⁴ Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia.

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.

Keywords: Cluster analysis; Discriminant analysis; Heavy metal; Major element; Minor element.