Influence of production and conservation conditions on the physical-chemical properties of blueberry with modeling through artificial neural networks

Authors

  • Raquel P.F. Guiné 1. CI&DETS Research Centre/ESAV, Polytechnic Institute of Viseu, Portugal; 2. Department of Food Industry, ESAV, Polytechnic Institute of Viseu, Portugal; http://orcid.org/0000-0003-0595-6805
  • Susana Matos 2. Department of Food Industry, ESAV, Polytechnic Institute of Viseu, Portugal
  • Christphe Gonçalves 2. Department of Food Industry, ESAV, Polytechnic Institute of Viseu, Portugal
  • Fernando Gonçalves 1. CI&DETS Research Centre/ESAV, Polytechnic Institute of Viseu, Portugal; 2. Department of Food Industry, ESAV, Polytechnic Institute of Viseu, Portugal
  • Daniela Costa 3. Department of Ecology and Sustainable Agriculture, ESAV, Polytechnic Institute of Viseu, Portugal;
  • Mateus Mendes 4. Polytechnic Institute of Coimbra, ESTGOH, Oliveira do Hospital, Portugal; 5. Institute of Systems and Robotics, FCTUC-DEEC, University of Coimbra, Portugal

Keywords:

artificial neural network, conservation, colour, production mode, texture

Abstract

Blueberry is a widely consumed fruit with major economic value, appreciated due to its characteristic flavor as well as health benefits. The present work aimed to evaluate the effect of several production factors and storage conditions on some chemical and physical properties of blueberries. Some physical and chemical characteristics (moisture, acidity, sugars, color and texture) of blueberries from three cultivars, originating from five different locations and conventional or organic farming, were evaluated. The variation of the properties along time was also evaluated for storage at room temperature and refrigeration. Moreover, artificial neural network models were developed to estimate the physical-chemical characteristics of the blueberries, as influenced by the production and conservation factors considered. The results showed that all the characteristics considered varied according to cultivar, place of cultivation and production mode. The storage conditions also induced changes in the chemical components as well as in color and texture. The changes were dependent on type and duration of storage, cultivar and production mode. Weight analysis of the ANN models highlighted the patterns and trends observed experimentally.

Downloads

Published

2018-11-02

Issue

Section

VI-Postharvest Technology and Process Engineering