Abstract

This investigation aimed to develop a method to predict the total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids contents using surface color values (L*, Hue and chroma), single fruit weight, juice volume, and sphericity percent of fresh peach fruit. Multiple regression analysis (MLR) and an artificial neural network (ANN) were employed. An ANN model was developed with six inputs and 15 neurons in the first hidden layer for the prediction of six chemical composition parameters. The results confirmed that the ANN model R2 = 974–0.998 outperformed the MLR models R2 = 0.473–0.840 using testing dataset. Moreover, sensitivity analysis revealed that the juice volume was the most dominating parameter for the prediction of titratable acidity, TSS/titratable acidity and vitamin C with corresponding contribution values of 39.97%, 50.40%, and 33.08%, respectively. In addition, sphericity percent contributed by 23.70% to anthocyanin and by 24.08% to total carotenoids. Furthermore, hue on TSS prediction was the highest compared with the other parameters, with a contribution percentage of 20.86%. Chroma contributed by different values to all variables in the range of 5.29% to 19.39%. Furthermore, fruit weight contributed by different values to all variables in the range of 16.67% to 23.48%. The ANN prediction method denotes a promising methodology to estimate targeted chemical composition levels of fresh peach fruits. The information of peach quality reported in this investigation can be used as a baseline for understanding and further examining peach fruit quality.

Highlights

  • The genus Prunus includes many important species of substantial economic importance, such as Prunus persica L., which thrive in temperate and warm regions partly due to their low chilling requirements

  • Juice volume, sphericity percent, skin color parameters (L, hue, and chroma), total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids were evaluated for 9 cultivars of peaches grown in Egypt for the 2019 seasons

  • The smallest juice volume was recorded for the swelling cultivar, with a value of 33.69 ml, and the highest juice volume was recorded in the Desertred cultivar, with a value of 84.12 ml (Table 1)

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Summary

Introduction

The genus Prunus includes many important species of substantial economic importance, such as Prunus persica L. (peach), which thrive in temperate and warm regions partly due to their low chilling requirements. Predicting the chemical attributes of fresh peach fruits. They contain fiber and are a rich source of vitamins, vitamins A, B, and C, carbohydrates, and some mineral nutrients [2]. For peaches that are consumed fresh, fruit size is an important attribute of quality [4] since it is a requisite required by the consumer [5]. The quality attributes that are most significant in fruits include the total soluble solids (TSS), color, titratable acidity, firmness, and TSS/titratable acidity [6,7,8]. Matias et al [6] found strong correlations between fruit mass, suture diameter, equatorial diameter, and polar diameter as well as between carotenoids content and hue angle for pulp color in 28 peach cultivars

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