Lemon-Flavored Gummy Candies: Sourness, Flavor and Overall Acceptance Optimization Using Lattice-Simplex Mixture Design Implemented with Python Programming Language

Acidulants enhance the tartness and flavor of gummy candies. This study employed Python, a free, open-source tool, to perform a simplex–lattice mixture design, optimizing the sourness, flavor, and overall acceptance of lemon-flavored gummies. Citric, malic, and fumaric acids were evaluated, and a co...

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Veröffentlicht in:Biology and life sciences forum Jg. 40; H. 1; S. 41
Hauptverfasser: Jorge Adahir Cruz-Enriquez, Laura García-Curiel, Jesús Guadalupe Pérez-Flores, Elizabeth Contreras-López, Emmanuel Pérez-Escalante, Karla Soto-Vega, Mirandeli Bautista-Ávila, Carlos Ángel-Jijón, Juan Ramírez-Godínez
Format: Journal Article
Sprache:Englisch
Veröffentlicht: MDPI AG 01.02.2025
Schlagworte:
confectionery industry
food additives
gummy candies
mixture design
Python
simplex–lattice
ISSN:2673-9976
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Zusammenfassung:Acidulants enhance the tartness and flavor of gummy candies. This study employed Python, a free, open-source tool, to perform a simplex–lattice mixture design, optimizing the sourness, flavor, and overall acceptance of lemon-flavored gummies. Citric, malic, and fumaric acids were evaluated, and a combined model measured their sensory attributes. The results showed high R2 values and significant effects for individual and interaction terms. The optimal mixture (5.85 g citric, 4.8 g malic, 4.35 g fumaric acids) achieved a combined sensory score of 100.11. This study highlights Python’s utility in product development, providing an accessible resource for researchers and food developers.
ISSN:2673-9976
DOI:10.3390/blsf2024040041