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Multiobjective Optimization of a Frying Process Balancing Acrylamide Formation and Quality: Solution Analysis and

Jose Lucas Peñalver-Soto1,2, María Muñoz-Guillermo3, Alberto Garre1

  • 1Departamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Paseo Alfonso XIII, 48, 30203 Cartagena, Spain.

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Summary
This summary is machine-generated.

Optimizing potato frying balances acrylamide (a potential carcinogen) and yellowness. Many solutions exceeded safety limits, but moderate conditions offered flexibility for robust processing.

Keywords:
Monte Carloacrylamideequivalent solutionsfrying operationmodel-based optimizationmulti-objective optimizationqualityuncertainty

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Area of Science:

  • Food science
  • Process optimization
  • Chemical analysis

Background:

  • Acrylamide formation during potato frying is a significant food safety concern.
  • Yellowness is a key quality indicator in fried potato products.
  • Balancing acrylamide reduction with desired product quality is crucial for the food industry.

Purpose of the Study:

  • To perform multi-objective optimization of the potato-frying process.
  • To balance acrylamide production with product yellowness.
  • To analyze the impact of model uncertainties on optimization outcomes.

Main Methods:

  • Model-based optimization techniques were employed.
  • Multi-objective optimization was used to balance competing parameters.
  • Uncertainty propagation analysis was conducted on model parameters.

Main Results:

  • Most optimized solutions resulted in acrylamide levels exceeding European Food Safety Authority (EFSA) recommendations.
  • Equivalent optimal solutions were identified under moderate processing conditions (lower temperatures and/or shorter times).
  • Uncertainty in acrylamide production model parameters significantly altered Pareto fronts, especially at high acrylamide and yellowness levels.

Conclusions:

  • The study provides insights into achieving a balance between acrylamide and yellowness in fried potatoes.
  • Moderate processing conditions offer flexibility and robustness in process design.
  • Accounting for model parameter uncertainty is essential for reliable process optimization.