Hygroscopic behavior of banana (Musa ssp. AAA) flour in different ripening stages

FBCNN-TSA: An optimal deep learning model for banana ripening stages classification

Ripeness of the fruit is significant in agriculture since it affects the fruit’s quality and sales. Manually determining the fruit’s ripeness has various drawbacks, including the fact that it consumes time, needs a lot of work, and occasionally results in errors. One of the crucial areas of the economies of nations is the agricultural sector. However, the manual approach is still occasionally used to assess the maturity of fruit. Fruit ripeness could be automatically categorized by the advancement of computer vision and machine learning technology. The Convolutional Neural Network (CNN) is used in this work is to classify the different ripeness stages of banana fruit. The four stages of banana ripeness are unripe, mid-ripe, ripe, and overripe. Proposed method uses a fuzzy-based convolutional neural network with tunicate swarm algorithm. The proposed model outperforms cutting-edge computer vision-based algorithms in both coarse and perfectly acceptable classification of maturation phases. The experimental results using images of bananas at various stages of ripening, achieves overall accuracy of 96.9%.

Effect of cellulose and gum derivatives on physicochemical, microstructural and prebiotic properties of foam-mat dried red banana powder

Fruit sugars are gaining attention for their nutraceutical benefits. High sugar in ripe and over-ripe bananas makes them difficult for convective drying. In this study, red banana (RB) pulp was added with different gum derivatives as foaming agent (FA) (4 % w/w) viz., acacia gum(GA), carrageenan (CG) and gelatine(GE). Maltodextrin and carboxymethyl-cellulose were added as foam-stabilizers (FS). FA addition resulted in low density foam (RBGE-50 % reduction) with improved foam stability (RBGA-94.42 %). Powders were low in hygroscopicity (RBGA-18.62 g 100 g ^-1) with optimum flowability. The particle size (54.95 to 69.86 μm) of RB powder increased with gum derivatives addition. Secondary metabolites varied significantly in powder samples. Positive correlation of secondary metabolites with DPPH assay was observed. RBGA showed higher prebiotic activity (0.68) and supported the growth of tested Lactobacillus strain. Therefore, foam-mat dried RB powder with GA could be used in food formulation as low-cost alternative fruit sugar with higher nutritional, functional and prebiotic properties.

Hygroscopic Properties of Sweet Cherry Powder: Thermodynamic Properties and Microstructural Changes

Understanding sorption isotherms is crucial in food science for optimizing the drying processes, enhancing the shelf-life of food, and maintaining food quality during storage. This study investigated the isotherms of sweet cherry powder (SCP) using the static gravimetric method. The experimental water sorption curves of lyophilized sweet cherry powder were determined at 30°C, 40°C, and 50°C. The curves were then fitted to six isotherm models: Modified GAB, Halsey, Smith, Oswin, Caurie, and Kühn models. To define the energy associated with the sorption process, the isosteric sorption heat, differential entropy, and spreading pressure were derived from the isotherms. Among the six models, the Smith model is the most reliable in predicting the sorption of the cherry powder with a determination coefficient (R2) of 0.9978 and a mean relative error (MRE) ≤1.61. The values of the net isosteric heat and differential entropy for the cherry increased exponentially as the moisture content decreased. The net isosteric heat values varied from 10.63 to 90.97 kJ mol−1, while the differential entropy values varied from 27.94 to 273.39 J. mol−1K−1. Overall, the enthalpy-entropy compensation theory showed that enthalpy-controlled mechanisms could be used to regulate water adsorption in cherry powders.

Chemical, structural, and thermal characterization of starches from four yellow Arracacha (Arracacia xanthorriza) roots produced in Colombia

In recent years, interest has increased in the search for new starch sources, especially among Andean tubers, such as Arracacha (or Peruvian Carrot). This work studied the chemical composition, structural features, and thermal and adsorption properties of four sub-varieties of yellow Arracacha grown in Colombia: comun (Com), cartagenera (Car), yema de huevo (YH) and clon 22 (C22). Starches from the Com, Car and YH sub varieties presented similar properties, amylose content around 30%, relative crystallinity around 31% and gelatinization temperature around 60 °C. On the other hand, starch from the Clon 22 (C22) variety presented the highest amylose content, leading to an increase in gelatinization temperature (63 °C), and lower relative crystallinity (24%). Furthermore, digestibility studies show that C22 presented a higher resistant starch content. Our results show that Arracacha is a very interesting starch source, despite few studies on the properties of the different sub-varieties.

Unripe Banana Flour Produced by Air-Drying Assisted with Ultrasound – Description of the Mechanisms Involved to Enhance the Mass Transfer in Two Approaches

In this research the application of ultrasound, prior to air-drying, describing the phenomena in two approaches: unripe banana slices immersed in water (hydrated) and vacuum packaged (non-hydrated) were investigated. The results showed two falling rate periods during the air-drying. For the second rate period, an increase of water effective diffusivity due to the “sponge effect” (direct effect of ultrasound) and the microscopic channels formation (indirect effect) was observed. Scanning electron microscopy images showed that untreated dried slices were less porous, characterized by small cavities and high density, while ultrasound pretreated slices resulted in a porous structure with more free volume between cells. An increase in porosity decreased the resistance for diffusion, influencing positively the water effective diffusivity. Moreover, ultrasound produced partial disorder of the crystalline structure within the starch granules, reducing the amount of energy required for gelatinization. Moreover, reduction of resistant starch content was not observed.