Effect of Balangu seed mucilage/gelatin coating containing dill essential oil and ZnO nanoparticles on sweet cherry quality during cold storage.

The current research focused on examining the effect of a coating made from Balangu seed mucilage (TSM-BM) and gelatin (Ge), with varying concentrations of dill essential oil (DEO) (0 %, 1 %, and 2 %) and zinc oxide nanoparticles (ZnO-np) (0 % and 0.5 %), on the quality characteristics of cherries stored at 4 °C over intervals of 0, 4, 7, 11, 18, and 25 days. The study noted that the application of this coating, particularly when combined with DEO and ZnO-np, significantly reduced the rate of changes in several parameters, including weight loss, firmness, titratable acidity, pH, total soluble solids, ascorbic acid, total anthocyanin content, total phenolic content, and antioxidant activity (p˂0.

Eco-friendly nanocomposite biofilm based on sage seed gum/gelatin/TiO: Fabrication and characterization.

In the current study, the sage seed gum/gelatin-TiO (SG/Ge-TiO) nanocomposite films were prepared. Their physical, mechanical, chemical, barrier, surface, structural, and microbial characteristics are determined as a function of different ratios of sage seed gum (SG) to gelatin (1 to 2, 2 to 1 and 1 to 1) and different concentrations of TiO nanoparticles (0, 2, 4 % based on biopolymer (w/v)). The results indicated increases in the tensile strength, elongation at break, thickness, brightness (L*), whiteness index (WI), and contact angle, as gelatin content and concentration of TiO nanoparticles increase.

A computer vision system and machine learning algorithms for prediction of physicochemical changes and classification of coated sweet cherry.

The current research utilized visual characteristics obtained from RGB images and qualitative characteristics to investigate changes in surface defects, predict physical and chemical characteristics, and classify sweet cherries during storage. It was achieved with the help of ANN (Artificial Neural Network) and ANFIS (Adaptive Neuro-Fuzzy Inference System) models. The ANN used in this study was a Multilayer Perceptron (MLP) with SigmoidAxon and TanhAxon threshold functions, trained with the Momentum training function.

Development of bacterial cellulose based slow-release active films by incorporation of Scrophularia striata Boiss. extract.

Novel bacterial cellulose (BC) based monolayer and multilayer films, incorporating 5wt.% Scrophularia striata Boiss. extract (SE) were obtained.

Chitosan films incorporated with nettle (Urtica Dioica L.) extract-loaded nanoliposomes: II. Antioxidant activity and release properties.

Chitosan films were loaded with NE nettle (Urtica dioica L.) extract (NE) at concentrations of 0, 0.5, 1 and 1.