Post-harvest quality of papaya coated with polivinilic alcohol and maize starch

Pigozzi, Mariana Teixeira; Silva, Vanessa Mendes; Mendes, Fabrícia Queiroz; Oliveira, Isadora Rebouças Nolasco de; Moraes, Allan Robledo Fialho e; Lopes, E. A.

doi:10.1590/1413-7054202145019120

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…These results suggest that both MS and GA significantly reduced the decline of soluble solids when applied on fruit. Studies have proved that application of GA and MS-based coatings inhibits changes in TSS during storage for mangoes [66], cucumber [67], and other fruit types [68][69][70]. The reduction in respiration rate for coated fruit slows down the conversion of carbohydrates to sugar, reducing synthesis and depletion of metabolites [71].…”

Section: Total Soluble Solidsmentioning

confidence: 99%

Optimization of Gum Arabic and Starch-Based Edible Coatings with Lemongrass Oil Using Response Surface Methodology for Improving Postharvest Quality of Whole “Wonderful” Pomegranate Fruit

2021

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The effects of edible coatings based on gum arabic (GA) (0.5–1.5%), maize starch (MS) (0.5–1.5%), lemongrass oil (LO) (2–4%), and glycerol (GC) (0.5–1%) developed using response surface methodology (RSM) on “Wonderful” pomegranate fruit were studied. After 42 days of storage (5 ± 1 °C, 95 ± 2% RH) and 5 days at ambient temperature (20 ± 0.2 °C and 60 ± 10% RH), whole fruit were evaluated for weight loss (%) and pomegranate juice (PJ) for total soluble solids (°Brix), titratable acidity (% Citric acid), and antioxidant capacity. The optimization procedure was done using RSM and the response variables were mainly influenced by the concentrations of MS and GA. The optimized coating consisted of GA (0.5%), MS (0.5%), LO (3%), and GC (1.5%) with desirability of 0.614 (0—minimum and 1—maximum). The predicted values of response variables, for the coating were weight loss (%) = 5.51, TSS (°Brix) = 16.45, TA (% Citric acid) = 1.50, and antioxidant capacity (RSA = 58.13 mM AAE/mL PJ and FRAP = 40.03 mM TE/mL PJ). Therefore, the optimized coating formulation is a potential postharvest treatment for “Wonderful” pomegranate to inhibit weight loss and maintain overall quality during storage and shelf-life.

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Section: Total Soluble Solidsmentioning

confidence: 99%

Optimization of Gum Arabic and Starch-Based Edible Coatings with Lemongrass Oil Using Response Surface Methodology for Improving Postharvest Quality of Whole “Wonderful” Pomegranate Fruit

2021

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“…Brazil is the second world's largest papaya producer and exporter, reaching a total of 1,113,614.5 tons in 2019 (FAOSTAT, 2019). Despite the high production and income generated by papaya in Brazil, a sizeable postharvest loss of this fruit occurs due to manual sorting (Pigozzi et al, 2021). In this context, the current research aimed to develop an automated papaya classification process based on papayas' size and skin color using image analysis with Python programming code.…”

Section: Introductionmentioning

confidence: 99%

Image analysis applied to control postharvest maturity of papayas ( Carica papaya L.)

Chacon

Alves

Monteiro

et al. 2022

Food Processing Preservation

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This study aims to develop a nondestructive methodology using image analysis to classify papayas (Carica papaya L.) based on their skin color, volume, and mass. First, papayas were classified visually according to their skin color, and the volume and mass were determined experimentally. In sequence, images from papayas were acquired and processed using image analysis. Papayas were classified according to their maturity using a computational methodology based on the CIELab scale. Furthermore, the volume and mass were assessed using a Python code developed to analyze the fruit images. The prediction of the maturity stage had a global estimate of 95.0%, and the estimated volume and mass did not differ statistically from the experimental values. This research reports a novel image analysis methodology focused on papaya classification during its postharvest. Practical applications Image analysis can be used to classify fruits during their postharvest. In the current research, a nondestructive methodology using image analysis was developed and then used to classify papayas according to their skin color, volume, and mass. Results suggest that papayas can be classified based on their maturity (unripe, partially ripe, and ripe), volume, and mass. The developed methodology could be used to replace the manual sorting of papayas during their classification.

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Current strategies, perspectives and challenges in management and control of postharvest diseases of papaya

Tan

Ali

Siddiqui

2022

Scientia Horticulturae

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Post-harvest quality of papaya coated with polivinilic alcohol and maize starch

Cited by 3 publications

References 28 publications

Optimization of Gum Arabic and Starch-Based Edible Coatings with Lemongrass Oil Using Response Surface Methodology for Improving Postharvest Quality of Whole “Wonderful” Pomegranate Fruit

Optimization of Gum Arabic and Starch-Based Edible Coatings with Lemongrass Oil Using Response Surface Methodology for Improving Postharvest Quality of Whole “Wonderful” Pomegranate Fruit

Image analysis applied to control postharvest maturity of papayas ( Carica papaya L.)

Current strategies, perspectives and challenges in management and control of postharvest diseases of papaya

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