Efficient production of honey-enhanced banana chips: A multi-objective optimization approach
DOI:
https://doi.org/10.52292/j.laar.2025.3645Keywords:
MINLP, PARETO CURVEAbstract
Food industries aim to optimize processes for quality products in shorter times. For fruits, specific storage and transport conditions are essential to maintain quality, extend shelf life, and preserve sensory and nutritional properties. This study aims to maximize honey incorporation into banana slices during osmotic dehydration, assisted by ultrasound, while minimizing processing time. The process includes three stages: 1) 20 min ultrasound-assisted immersion in distilled water, 2) osmotic dehydration in hypertonic honey solution, and 3) hot air drying. The second and third stages were mathematically modeled using a multi-objective MINLP optimization in GAMS with the Baron solver. Optimal conditions achieved an 8.75% gain in soluble solids (SG) in 11.48 h, reducing processing time by 64% with a 70% honey solution. This optimization allows a compromise solution between two contradictory objectives for planning the production process: maintaining product quality and reducing production time. The process leads to lower total costs.
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