Abstract

Abstract The objective of this study was to evaluate the response of biological activity measured by the Biospeckle Laser technique applied to mangoes (Mangifera indica L.) subjected to mechanical damage at different stages of maturation. The tests were carried out twice a week for twenty-one days, and 40 mangoes of the variety Tommy Atkins were used. The procedure was divided into two stages: the first simulated the impact on fruits, and in the second stage, the laser light was applied to the impacted area. After laser application, the images of all fruits were submitted to graphic processing, in order to obtain maps of biological activity of the fruits. The Biospeckle laser technique associated with image analysis allowed the identification of distinct biological activity levels in the mangoes, certifying its potential application as a non-destructive test tool, in the monitoring of biological activity in fruit samples.

Highlights

  • Results from Biospeckle Laser (BL) image processing are generally presented in graphical form (Minz & Nirala, 2014; Stoykova et al, 2015; Braga Júnior et al, 2016)

  • The insertion of these techniques in the processing of images from BL enables the identification and the generation of maps, which allows the identification of areas with distinct activities in fruits, granting the localization of phenomena that may compromise their quality

  • This study aimed to evaluate the response of biological activity measured by the Biospeckle Laser technique applied to mangoes (Mangifera indica L.) subjected to mechanical damage at different maturation stages

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Summary

Introduction

The Biospeckle Laser (BL) technique is based on the optical interference phenomenon that occurs when a coherent beam of light strikes a dynamic surface or a biological material (Rabal & Braga Júnior, 2008; Braga Júnior, 2017; Rivera et al, 2019).This technique has been used to monitor biological activity in fruits and vegetables (Ansari et al, 2012; Zdunek et al, 2014), to evaluate corn seed quality (Silva et al, 2018), coffee seed quality (Vivas et al, 2017), tomato ripening (Pieczywek et al, 2018), among others.The physical and mechanical damage are among the elements of great relevance for fruit analysis (Vélez Rivera et al, 2014). The Biospeckle Laser (BL) technique is based on the optical interference phenomenon that occurs when a coherent beam of light strikes a dynamic surface or a biological material (Rabal & Braga Júnior, 2008; Braga Júnior, 2017; Rivera et al, 2019). This technique has been used to monitor biological activity in fruits and vegetables (Ansari et al, 2012; Zdunek et al, 2014), to evaluate corn seed quality (Silva et al, 2018), coffee seed quality (Vivas et al, 2017), tomato ripening (Pieczywek et al, 2018), among others. Computational image analysis methods have gained popularity in recent years in various areas of science, including fruit biology (Ansari & Nirala, 2014; Samuel et al, 2017; Salambue et al, 2018)

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