Optimizing Apple Quality through Modern Postharvest Handling and Storage Practices
DOI:
https://doi.org/10.53762/grjnst.02.03.21Keywords:
Apple postharvest quality, Dynamic Controlled Atmosphere (DCA), 1-Methylcyclopropene (1-MCP), edible coatings, chitosan, essential oils, volatile aroma compounds, chlorophyll fluorescence, physiological disorders, artificial intelligence, non-destructive assessment, firmness, flavor preservationAbstract
Postharvest losses in apples represent a significant economic and sustainability challenge, with fungal pathogens and physiological disorders contributing to up to 25% loss in stored fruit. This review explores modern strategies to optimize apple quality by preserving firmness, flavor (sugars, acids, and volatile aroma compounds), and nutritional value (polyphenols and antioxidants) while minimizing synthetic chemical use. Key foundational practices include rapid or gradual precooling and ethylene inhibition with 1-methylcyclopropene (1-MCP). Advanced atmospheric storage technologies, particularly Dynamic Controlled Atmosphere monitored by chlorophyll fluorescence (DCA-CF), enable precise low-oxygen management, achieving superior firmness retention, reduced physiological disorders, and markedly better preservation of aroma volatiles compared to ultra-low oxygen (ULO) or 1-MCP treatments. Non-chemical alternatives, such as chitosan-based edible coatings incorporating essential oils or probiotics, effectively control postharvest decay while aligning with consumer demand for low-residue produce. Emerging digital tools, including hyperspectral imaging and AI-driven predictive models, facilitate non-destructive quality assessment and dynamic storage management. These integrated approaches enhance economic returns through extended market windows, improve energy efficiency, and support sustainable, residue-free apple production.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Habib ur Rehman, Sibgha batool, Muhammad Abbas Khan, Naik nazar, Zeeshan Ahmed., Ume Aiman, Abdul Rasool, Ameen Ullah, Qaiser Ali Sultan, Irfan Murad (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



