Journal of Food Processing & Technology

Abstract

Statistical Modeling of Pomegranate (Punica granatum L.) Fruit with Some Physical Attributes

Yaser Siah Mansouri, Javad Khazaei, Seyed Reza Hassan Beygi and Seyed Saeid Mohtasebi

In this study mass and surface area of pomegranate fruit were predicted with using different physical characteristics in linear models classified as follows: (1) Single or multiple variable regressions of pomegranate dimensional characteristics, (2) Single or multiple variable regressions of pomegranate projected areas, (3) Single regression of pomegranate mass based on measured (actual) volume and volumes of shapes assumed (oblate spheroid and ellipsoid). The results showed that in the first classification of single variable mass modeling of pomegranate based on dimension, the highest determining coefficient was obtained as R2=0.95 based on geometric mean diameter M = - 528 + 10.7 Dg while that was as R2=0.96 for multiple variable models. Also, there was a very good relationship between mass and measured volume of pomegranates for the two varieties with R2 as 0.97 (highest R2 value among all the models). At least, the models which predict mass of pomegranates based on estimated volume, the shape of pomegranates considered as spheroid and elliptical were found to be the most appropriate models.