| Title: |
Optimizing dehydrated soups with advanced algorithms: A novel application of D-Optimal mixture design and NSGA-II for healthier formulations |
| Authors: |
Moussa, Hamza; Dahmoune, Farid; Noui, Yassine; Mameri, Amal; Tahraoui, Hichem; Menasria, Salma; Abbas, Souhila; Hamid, Sarah; Benzitoune, Nourelimane; Amrane, Abdeltif |
| Contributors: |
Université Mohamed Akli Ouelhadj de Bouira (UMAOB); Université Hadj Lakhdar Batna 1; Institut des Sciences Chimiques de Rennes (ISCR); Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS); Université Ferhat-Abbas Sétif 1 Sétif (UFAS1); Yahya Fares University - Medea = Université Yahia Fares de Médéa Medea, Algeria (YFUM); Université Abderrahmane Mira Université de Béjaïa = University of Béjaïa = جامعة بجاية (UB); The authors are grateful to the Department of Biological Sciences, Faculty of Nature and Life and Earth Sciences, Akli Mohand Oulhadj University, Bouira (Algeria). |
| Source: |
ISSN: 0169-7439 ; Chemometrics and Intelligent Laboratory Systems ; https://hal.science/hal-05167162 ; Chemometrics and Intelligent Laboratory Systems, 2025, 263, pp.105443. ⟨10.1016/j.chemolab.2025.105443⟩. |
| Publisher Information: |
CCSD; Elsevier |
| Publication Year: |
2025 |
| Subject Terms: |
Molecular docking; Bioactive compounds; Multi-objective optimization; D -optimal mixture design; Dehydrated soup; [SDV.IDA]Life Sciences [q-bio]/Food engineering; [CHIM.OTHE]Chemical Sciences/Other; [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
| Description: |
International audience ; This study explores the optimization of dehydrated soup formulations to enhance their total phenolic content (TPC) and total flavonoid content (TFC) using a D-optimal mixture design and the NSGA-II (Non-dominated Sorting Genetic Algorithm II). To study the effect of the selected ingredients, A D-optimal mixture design with 15 experimental runs was employed to study the effect of selected ingredients, highlighting their significance on TPC and TFC. The NSGA-II algorithm generated 19 optimal solutions for maximizing TPC and TFC. Experimental validation of the best solution predicted TPC of 8.15 mg GAE/g dw and TFC of 1.30 mg QE/g dw, with experimental values of 10.29 mg GAE/g dw and 1.38 mg QE/g dw, confirming the model's accuracy. The optimized soup, comprised 47.70 % broccoli, 20 % celery, 20 % onion, 10 % vegetable mix, and 2.29 % salt. It exhibited significantly higher TPC and better antioxidant activity, as measured by DPPH center dot and ABTS center dot+ assays. Molecular docking identified bioactive compounds with strong binding affinities to KEAP1 and BCL2 proteins, suggesting potential therapeutic applications for oxidative stress. A MATLAB interface was developed to facilitate practical application in the food industry, demonstrating the effective use of optimization techniques to create highquality, enriched dehydrated soups and providing a foundation for future research in food formulation. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1016/j.chemolab.2025.105443 |
| Availability: |
https://hal.science/hal-05167162; https://hal.science/hal-05167162v1/document; https://hal.science/hal-05167162v1/file/Clean%20Manuscript_HT.pdf; https://doi.org/10.1016/j.chemolab.2025.105443 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.D3626C46 |
| Database: |
BASE |