Arjuma Sultana* and Uma Ghosh

Department of Food Technology and Biochemical Engineering, Jadavpur University, India

*Corresponding Author: Arjuma Sultana, Department of Food Technology and Biochemical Engineering, Jadavpur University, India.

Received: April 21, 2025; Published: May 28, 2025

Abstract

Packaging is a crucial aspect of food processing, ensuring both fresh and processed agricultural products are safely handled and delivered from manufacturers to consumers. The main objectives of packaging technology are to preserve quality, enhance safety, and reduce waste from post-harvest losses. Modified Atmosphere Packaging (MAP) is frequently used to pack fruits and vegetables. This technique involves replacing the air in the packaging's headspace with specific atmospheric gases that differ in proportion to normal air. To extend the shelf life of minimally processed Red Amaranth (Amaranthus tricolor L.) leaves using MAP technology, a statistical approach was employed. A Box-Behnken design was utilized to optimize the packaging conditions regarding time, temperature, and the ratio of the packet size and the weight of the samples. The results aligned well with the proposed regression model. The maximum shelf life of the leaves was determined to be 12 days at 19 ˚C, with the optimum ratio of packet size to sample weight being 0.0888221. Under normal storage conditions, the total phenolic content, antioxidant activity, and the color of Red Amaranth leaves significantly deteriorated after just 3 days. However, the samples stored under MAP exhibited a four-fold increase in shelf life and overall acceptability.

Keywords: Amaranthus tricolor L; Antioxidant Activity; Color; Total Phenol Content; RSM

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Citation

Citation: Arjuma Sultana and Uma Ghosh. “Statistical Optimization of Modified Atmospheric Packaging Conditions of Minimally Processed Red Amaranth (Amaranthus tricolor L.) Leaves". Acta Scientific Agriculture 9.5 (2025): 56-72.

Copyright

Copyright: © 2025 Arjuma Sultana and Uma Ghosh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.