Green Biopolymer-Based Edible Coatings for Quality Retention and Extended Shelf Life of Table Eggs
Haneen Abdulamir AlasadyDepartment of Dairy Science, College of Food Science, Al-Qasim Green University, Al-Qasim, Babylon, Iraq. haneen@fosci.uoqasim.edu.iq0000-0001-8295-1392
Luay Salam KhaleefahDepartment of Food Science, College of Food Science, Al-Qasim Green University, Al-Qasim, Babylon, Iraq. luaysalam@fosci.uoqasim.edu.iq0000-0002-7289-0431
Ahmed Adel AlomerDepartment of Microbiology, College of Science, Al-Karkh University of Science, Abu Ghraib, Baghdad, Iraq. ahmed.adel@kus.edu.iq0009-0001-7772-9022
Keywords: Chitosan, edible films and coatings, eggs, haugh unit, microbial contamination, whey protein.
Abstract
This study aimed to evaluate the effectiveness of edible films and coatings formulated using Chitosan and whey protein in improving the internal quality, shelf life, and microbial safety of chicken eggs during storage. New eggs were divided into chitosan-coated, whey protein coated, combined Chitosan whey protein, and uncoated control groups, immersed in their respective solutions, dried, and stored at room temperature for 28 days. Egg quality parameters, including Haugh unit, albumen height, and weight loss, were recorded weekly, and microbial contamination was measured using standard plate counts. Egg-coated showed considerably greater Haugh units, lesser weight loss, and lower microbial loads compared to uncoated ones. Chitosan and combined chitosan/ whey protein coatings were found to have the best preservative properties because they have better properties regarding the barrier and inherent antimicrobial activity, which maintains albumen quality and prolongs the shelf life. The findings verify the fact that biodegradable chitosan and whey protein films provide an eco-friendly alternative to conventional egg preservation. Simultaneously, progress in the research on animal vocalizations has improved conservation efforts by ensuring accurate biodiversity tracking and preventing ecological disturbances at an early stage. Sound-related ecological measurements, further enriched by the acoustic recognition systems (AI-based), enable automated detection of species, evaluation of the quality of habitat, and the detection of degradation of ecosystem soundscapes introduced by pollution. These are technologies that are commonly applied in wildlife conservation that demonstrate the wider scope of applying biosensing and machine learning techniques to the study of food preservation, offering new avenues of real-time tracking of food spoilage, microbial activities, and environmental changes.