Mousa Arshad; Masoud Haghshenas
Abstract
Fruit ripening involves marked physiological and biochemical changes that affect fruit color, taste, aroma, texture, and nutritional value. A significant amount of research has shown that chitosan interacts with other postharvest treatments, which can enhance the impact of the chitosan coating. This ...
Read More
Fruit ripening involves marked physiological and biochemical changes that affect fruit color, taste, aroma, texture, and nutritional value. A significant amount of research has shown that chitosan interacts with other postharvest treatments, which can enhance the impact of the chitosan coating. This study considered the effects of chitosan coating and melatonin on banana shelf-life and fruit quality at the green mature stage. The studied variables had three levels of melatonin 0, 75, and 150 mg L-1, two levels of chitosan coating 0, 0.25, and 0.5%, and three storage durations 3, 6, and 9 days. Fruits were harvested at the green mature stage and stored at 25 °C and 80% RH for 9 days. The results showed that melatonin and chitosan coating interacted and significantly affected green mature banana quality and shelf-life during the storage time. Chitosan and melatonin interaction delayed the decrease in chlorophyll and the increase in carotenoids, fruit maturity, and color change. Our results showed that on the ninth day of storage under chitosan (0.5%) treatment along with melatonin at a concentration of 150 mg L-1, the total chlorophyll content became 3.89% lower than that under control conditions. The level of antioxidant enzyme activity in the treated samples after 3, 6, and 9 days of storage was more than in the control sample. The results showed that chitosan (0.5%) and melatonin (150 mg L-1) successfully increased the shelf life of banana fruits.
Maryam Ebrahimi; Rouhollah Karimi; Amir Daraei Garmakhany; Narjes Aghajani; Alireza Shayganfar
Abstract
Artificial neural networks (ANN) are a nondestructive method for estimating fruit and vegetable shelf life and quality attributes. This research used artificial neural networks to model a storage process for fruit grapes (Vitis vinifera cv. Rishbaba) coated with maltodextrin, including different levels ...
Read More
Artificial neural networks (ANN) are a nondestructive method for estimating fruit and vegetable shelf life and quality attributes. This research used artificial neural networks to model a storage process for fruit grapes (Vitis vinifera cv. Rishbaba) coated with maltodextrin, including different levels of potassium nanocarbonate (0-2%) and pyracantha extract (0-1.5%). After applying these coatings, the fruits were stored for 60 days in cold storage (-1 °C), with a relative humidity of 90%. Measurements considered weight loss percentage, titrable acidity (TA), pH, texture firmness, color index (a), and general fruit acceptance. Artificial neural networks predicted changes in fruits during the storage process. By examining different networks, the feedforward backpropagation network had 3-10-6 topologies with a coefficient of determination (R2) greater than 0.988 and a mean square error (MSE) less than 0.005. With a hyperbolic sigmoid tangent activation function, a resilient learning pattern and 1000 learning process were determined as the best neural method. On the other hand, the results of the optimized models showed that this model had the highest and lowest accuracy for predicting the weight loss percentage (R2 = 0.9975) and a (R2 = 0.5671) of the samples, respectively.
Babak ValizadehKaji; Saied Maleki; Ahmadreza Abbasifar
Abstract
Table grape is a non-climacteric fruit with a short shelf-life. The current study aimed at applying specific treatments to prolong its shelf-life and maintain qualitative characteristics during storage. In a factorial arrangement and a completely randomized design, the first factor was the storage period ...
Read More
Table grape is a non-climacteric fruit with a short shelf-life. The current study aimed at applying specific treatments to prolong its shelf-life and maintain qualitative characteristics during storage. In a factorial arrangement and a completely randomized design, the first factor was the storage period and the second factor was the combination of warm water treatments and gum arabic (GA). The fruits were stored at 5 °C and 80% relative humidity in permanent darkness. On days 0, 20, 40, and 60 of the storage period, seven berries from each replicate were randomly sampled and analyzed for physicochemical and qualitative parameters. The storage time negatively affected the qualities of ‘Bidane-h Ghermez’ table grape fruits. This deterioration in quality was countered by the application of warm water treatments and GA coating, especially by the 45 °C+GA 5% treatment. Compared to the uncoated control group, the application of 45 °C+GA 5% caused a better maintenance of vitamin C (30.43–160.00%), TSS/TA (19.76–21.57%), anthocyanin (37.40–57.75%), antioxidant activity (7.35–36.40%), total phenol (12.01–24.49%), and sensory attributes (66.66–248.50%) in the fruits during storage. Also, this treatment caused lower levels of weight loss (53.27–45.48%), H2O2 (9.90–26.55%), and malondialdehyde (8.84–27.92%). Therefore, the application of warm water treatments and GA coating, particularly at 45 °C+GA 5%, had a remarkable role in extending the shelf-life of table grape fruits. In addition to their effective role in storage, warm water and GA are especially recommended because of their low costs.
Fatemeh Nazoori; Solmaz Poraziz; Seyed Hossein Mirdehghan; Majid Esmailizadeh; Elaheh ZamaniBahramabadi
Abstract
In the present study, effects of edible coatings using sodium alginate (SA) and sodium alginate in combination with ascorbic acid (AA) on the shelf-life extension of strawberries at 4±1°C was studied. A factorial experiment was performed based on a randomized complete block design with four ...
Read More
In the present study, effects of edible coatings using sodium alginate (SA) and sodium alginate in combination with ascorbic acid (AA) on the shelf-life extension of strawberries at 4±1°C was studied. A factorial experiment was performed based on a randomized complete block design with four replications. The treatments included control (distilled water), SA (1%, 2%, 3% w/v), SA in combination with AA (1% w/v) and the storage periods (7 and 14 days). The results showed that lightness (L*), chroma, firmness, total acidity, vitamin C, phenols, and antioxidant activity decreased during storage, but coating improved them in the sold-stored strwberries. SA2%+AA1% coating was the best treatment in maintaining the fruit quality. Firmness, weight loss, fruit L*, fruit chroma, sepal L*, sepal chroma, total phenolics, and polyphenol oxidase activity were decreased by 15%, 1.95%, 16.7%, 2.66%, 10.23%, 16%, 19.47% and 2.5%, respectively for SA2%+AA1% samples at the end of the 14th day, which was lower than the untreated fruits. The results suggested that postharvest application of SA2%+AA1% has the potential to extend the storage life of strawberry fruits by reducing water loss and maintaining fruit quality.
